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ORCIDLina Yao 0001
Person information
- affiliation: University of New South Wales, School of Computer Science and Engineering, Kensington, NSW, Australia
- affiliation (PhD 2014): University of Adelaide, SA, Australia
Other persons with the same name
- Lina Yao — disambiguation page
- Lina Yao 0002
![[0000-0003-2235-7556]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2235-7556")
— Zhengzhou University, School of Electrical Engineering, China
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2020 – today
- 2024
[j130]Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu:
To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods. AI Ethics 4(1): 83-93 (2024)- [j129]Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng, Lina Yao:
Generalizing truth discovery by incorporating multi-truth features. Computing 106(5): 1557-1583 (2024) - [j128]Sam Dixon, Lina Yao, Robert Davidson:
Modality aware contrastive learning for multimodal human activity recognition. Concurr. Comput. Pract. Exp. 36(16) (2024) - [j127]Nuo Li, Bin Guo, Yan Liu, Yasan Ding, Lina Yao, Xiaopeng Fan, Zhiwen Yu:
Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations. Inf. Process. Manag. 61(2): 103641 (2024) - [j126]En Xu, Kai Zhao, Zhiwen Yu, Ying Zhang, Bin Guo, Lina Yao:
Limits of predictability in top-N recommendation. Inf. Process. Manag. 61(4): 103731 (2024) - [j125]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu:
Dyformer: A dynamic transformer-based architecture for multivariate time series classification. Inf. Sci. 656: 119881 (2024) - [j124]Yao Liu, Zesheng Ye, Rui Wang, Binghao Li, Quan Z. Sheng, Lina Yao:
Uncertainty-aware pedestrian trajectory prediction via distributional diffusion. Knowl. Based Syst. 296: 111862 (2024) - [j123]Hongtao Huang, Xiaojun Chang, Lina Yao:
Accelerating one-shot neural architecture search via constructing a sparse search space. Knowl. Based Syst. 305: 112620 (2024) - [j122]Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu:
Multi-view GCN for loan default risk prediction. Neural Comput. Appl. 36(20): 12149-12162 (2024) - [j121]Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El-Saddik:
Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 543-560 (2024) - [j120]Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin:
Self-supervised cross-modal visual retrieval from brain activities. Pattern Recognit. 145: 109915 (2024) - [j119]Jiwei Huang, Bowen Ma, Ming Wang, Xiaokang Zhou, Lina Yao, Shoujin Wang, Lianyong Qi, Ying Chen:
Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC. IEEE Trans. Consumer Electron. 70(1): 2596-2607 (2024) - [j118]Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach:
Special Issue on Responsible Recommender Systems Part 1. ACM Trans. Intell. Syst. Technol. 15(4): 72:1-72:3 (2024) - [j117]Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao:
Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. IEEE Trans. Knowl. Data Eng. 36(11): 5633-5646 (2024) - [j116]Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang:
Guided Image-to-Image Translation by Discriminator-Generator Communication. IEEE Trans. Multim. 26: 1528-1538 (2024) - [j115]Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon:
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(1): 657-669 (2024) - [j114]Yao Liu, Gangfeng Cui, Jiahui Luo, Xiaojun Chang, Lina Yao:
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 145:1-145:22 (2024) - [c192]Xinshu Li, Lina Yao:
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation. AAAI 2024: 13664-13672 - [c191]Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao:
DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection. CIKM 2024: 2108-2117 - [c190]Siyu Wang, Xiaocong Chen, Lina Yao:
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. CIKM 2024: 2390-2399 - [c189]Shiyi Yang, Chen Wang, Xiwei Xu, Liming Zhu, Lina Yao:
Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles. CIKM 2024: 2900-2909 - [c188]Yun Li, Zhe Liu, Hang Chen, Lina Yao:
Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning. CVPR 2024: 17037-17046 - [c187]Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li:
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. ICASSP 2024: 12106-12110 - [c186]Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore:
Learning with Mixture of Prototypes for Out-of-Distribution Detection. ICLR 2024 - [c185]Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng:
Masked Distillation Advances Self-Supervised Transformer Architecture Search. ICLR 2024 - [c184]Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu:
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. ICML 2024 - [c183]Xiaocong Chen, Siyu Wang, Lina Yao:
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. KDD 2024: 376-384 - [c182]Xinshu Li, Mingming Gong, Lina Yao:
Self-Distilled Disentangled Learning for Counterfactual Prediction. KDD 2024: 1667-1678 - [c181]Rui Liu, Mingjie Li, Shen Zhao, Ling Chen, Xiaojun Chang, Lina Yao:
In-Context Learning for Zero-shot Medical Report Generation. ACM Multimedia 2024: 8721-8730 - [c180]Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao:
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. NAACL-HLT (Findings) 2024: 4597-4612 - [c179]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement. SIGIR 2024: 2091-2101 - [c178]Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao:
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. WWW 2024: 2965-2975 - [i156]Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Tongliang Liu, Lina Yao, Kun Zhang:
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization. CoRR abs/2401.09716 (2024) - [i155]Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore:
Learning with Mixture of Prototypes for Out-of-Distribution Detection. CoRR abs/2402.02653 (2024) - [i154]Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu:
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. CoRR abs/2402.09023 (2024) - [i153]Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley:
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR abs/2402.11143 (2024) - [i152]Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao:
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. CoRR abs/2402.13525 (2024) - [i151]Yuzhe Zhang, Yipeng Zhang, Yidong Gan, Lina Yao, Chen Wang:
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models. CoRR abs/2402.15301 (2024) - [i150]Yun Li, Zhe Liu, Hang Chen, Lina Yao:
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning. CoRR abs/2402.17251 (2024) - [i149]Siyu Wang, Xiaocong Chen, Lina Yao:
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems. CoRR abs/2403.17634 (2024) - [i148]Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao:
Uncertainty-aware Distributional Offline Reinforcement Learning. CoRR abs/2403.17646 (2024) - [i147]Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong:
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. CoRR abs/2403.18886 (2024) - [i146]Saurav Jha, Dong Gong, Lina Yao:
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. CoRR abs/2403.19137 (2024) - [i145]Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao:
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. CoRR abs/2404.03514 (2024) - [i144]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement. CoRR abs/2404.04481 (2024) - [i143]Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao:
Multi-agent Traffic Prediction via Denoised Endpoint Distribution. CoRR abs/2405.07041 (2024) - [i142]Yao Liu, Quan Z. Sheng, Lina Yao:
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising. CoRR abs/2405.07164 (2024) - [i141]Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Salman Khan, Xinbo Gao, Lina Yao:
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. CoRR abs/2405.12217 (2024) - [i140]Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu:
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. CoRR abs/2405.19919 (2024) - [i139]Xiaocong Chen, Siyu Wang, Lina Yao:
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. CoRR abs/2406.00725 (2024) - [i138]Siyu Wang, Xiaocong Chen, Lina Yao:
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. CoRR abs/2407.13091 (2024) - [i137]Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li:
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. CoRR abs/2407.16729 (2024) - [i136]Jaymari Chua, Yun Li, Shiyi Yang, Chen Wang, Lina Yao:
AI Safety in Generative AI Large Language Models: A Survey. CoRR abs/2407.18369 (2024) - [i135]Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley:
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR abs/2407.20454 (2024) - [i134]Haowei Lou, Helen Paik, Wen Hu, Lina Yao:
StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech. CoRR abs/2408.14713 (2024) - [i133]Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng:
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. CoRR abs/2408.14851 (2024) - [i132]Ruoyu Wang, Yao Liu, Yuanjiang Cao, Lina Yao:
Causality-Aware Transformer Networks for Robotic Navigation. CoRR abs/2409.02669 (2024) - [i131]Ruoyu Wang, Lina Yao:
Independence Constrained Disentangled Representation Learning from Epistemological Perspective. CoRR abs/2409.02672 (2024) - [i130]Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley:
Visual Prompting in Multimodal Large Language Models: A Survey. CoRR abs/2409.15310 (2024) - [i129]Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024) - [i128]Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji:
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. CoRR abs/2410.00700 (2024) - [i127]Hongtao Huang, Chengkai Huang, Xiaojun Chang, Wen Hu, Lina Yao:
Dual Conditional Diffusion Models for Sequential Recommendation. CoRR abs/2410.21967 (2024) - [i126]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. CoRR abs/2410.22013 (2024) - [i125]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. CoRR abs/2410.22790 (2024) - [i124]Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley:
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. CoRR abs/2410.23703 (2024) - 2023
- [j113]May S. Altulyan, Lina Yao, Salil S. Kanhere, Chaoran Huang:
A blockchain framework data integrity enhanced recommender system. Comput. Intell. 39(1): 104-120 (2023) - [j112]En Xu, Zhiwen Yu, Nuo Li, Helei Cui, Lina Yao, Bin Guo:
Quantifying predictability of sequential recommendation via logical constraints. Frontiers Comput. Sci. 17(5): 175612 (2023) - [j111]Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. 264: 110335 (2023) - [j110]Can Wang, Chi-Hung Chi, Lina Yao, Alan Wee-Chung Liew, Hong Shen:
Interdependence analysis on heterogeneous data via behavior interior dimensions. Knowl. Based Syst. 279: 110893 (2023) - [j109]Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. 35(18): 13065-13075 (2023) - [j108]Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu:
Item trend learning for sequential recommendation system using gated graph neural network. Neural Comput. Appl. 35(18): 13077-13092 (2023) - [j107]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu:
Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. 55(2): 1371-1395 (2023) - [j106]Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann:
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3848-3861 (2023) - [j105]Zhihui Li, Pengfei Xu, Xiaojun Chang, Luyao Yang, Yuanyuan Zhang, Lina Yao, Xiaojiang Chen:
When Object Detection Meets Knowledge Distillation: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10555-10579 (2023) - [j104]Yang Xiao, Zhuolin Xing, Alex X. Liu, Lei Bai, Qingqi Pei, Lina Yao:
Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network Against Adversarial Attacks. IEEE Trans. Dependable Secur. Comput. 20(5): 4214-4229 (2023) - [j103]Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang:
Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. 32: 5126-5137 (2023) - [j102]En Xu, Zhiwen Yu, Zhuo Sun, Bin Guo, Lina Yao:
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity. ACM Trans. Intell. Syst. Technol. 14(3): 49:1-49:19 (2023) - [j101]Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine:
Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. IEEE J. Biomed. Health Informatics 27(1): 538-549 (2023) - [j100]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. 35(10): 9878-9889 (2023) - [j99]Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang:
Attribute-Modulated Generative Meta Learning for Zero-Shot Learning. IEEE Trans. Multim. 25: 1600-1610 (2023) - [j98]Yun Li, Zhe Liu, Xiaojun Chang, Julian J. McAuley, Lina Yao:
Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. IEEE Trans. Multim. 25: 8372-8382 (2023) - [j97]Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang:
Uncertainty Estimation With Neural Processes for Meta-Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6887-6897 (2023) - [j96]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng:
Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. 16(1): 330-342 (2023) - [j95]Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li, Lina Yao:
Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation. World Wide Web (WWW) 26(5): 3253-3274 (2023) - [c177]Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li:
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. AAAI 2023: 14539-14547 - [c176]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu:
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. ADMA (1) 2023: 19-33 - [c175]Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao:
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM 2023: 3564-3573 - [c174]Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao:
NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. CIKM 2023: 5123-5127 - [c173]Yun Li, Zhe Liu, Saurav Jha, Lina Yao:
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. ICCV 2023: 1782-1791 - [c172]Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao:
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. ICCV 2023: 13368-13377 - [c171]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. ICDM 2023: 81-90 - [c170]Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu:
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. ICDM 2023: 1481-1486 - [c169]Yao Liu, Binghao Li, Claude Sammut, Lina Yao:
Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios. ICONIP (9) 2023: 540-557 - [c168]Yihong Zhang, Takahiro Hara, Lina Yao:
Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph. IJCNN 2023: 1-8 - [c167]Qiuyun Zhang, Bin Guo, Lina Yao, Han Wang, Ying Zhang, Zhiwen Yu:
ALDA: An Adaptive Layout Design Assistant for Diverse Posters throughout the Design Process. ACM Multimedia 2023: 9405-9407 - [c166]Saurav Jha, Dong Gong, He Zhao, Lina Yao:
NPCL: Neural Processes for Uncertainty-Aware Continual Learning. NeurIPS 2023 - [c165]Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang:
Mask Propagation for Efficient Video Semantic Segmentation. NeurIPS 2023 - [c164]Xiaoxin Ye, Yun Li, Lina Yao:
DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender. RecSys 2023: 479-490 - [c163]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR 2023: 99-109 - [c162]Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao:
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. SIGIR 2023: 1599-1608 - [c161]Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao:
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. SIGIR 2023: 1874-1878 - [c160]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Meta-learning for Estimating Multiple Treatment Effects with Imbalance. WISE 2023: 886-895 - [c159]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. WSDM 2023: 481-489 - [c158]Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu:
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM 2023: 553-561 - [c157]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW 2023: 1252-1263 - [i123]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu, Kun Zhang:
On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. CoRR abs/2301.12351 (2023) - [i122]Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu:
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods. CoRR abs/2302.03350 (2023) - [i121]Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao:
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. CoRR abs/2303.00404 (2023) - [i120]Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang:
Guided Image-to-Image Translation by Discriminator-Generator Communication. CoRR abs/2303.03598 (2023) - [i119]Yao Liu, Zesheng Ye, Binghao Li, Lina Yao:
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. CoRR abs/2303.08367 (2023) - [i118]Zesheng Ye, Jing Du, Lina Yao:
Adversarially Contrastive Estimation of Conditional Neural Processes. CoRR abs/2303.13004 (2023) - [i117]En Xu, Zhiwen Yu, Ying Zhang, Bin Guo, Lina Yao:
Limits of Predictability in Top-N Recommendation. CoRR abs/2303.13091 (2023) - [i116]Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao:
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. CoRR abs/2304.07920 (2023) - [i115]Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao:
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. CoRR abs/2304.07922 (2023) - [i114]Jingcheng Li, Lina Yao, Binghao Li, Claude Sammut:
Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition. CoRR abs/2305.03810 (2023) - [i113]Yao Liu, Gangfeng Cui, Jiahui Luo, Lina Yao, Xiaojun Chang:
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. CoRR abs/2307.11973 (2023) - [i112]Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao:
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. CoRR abs/2308.11336 (2023) - [i111]Yuanjiang Cao, Quan Z. Sheng, Julian J. McAuley, Lina Yao:
Reinforcement Learning for Generative AI: A Survey. CoRR abs/2308.14328 (2023) - [i110]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. CoRR abs/2309.01343 (2023) - [i109]Yang Zhang, Yufei Wang, Kai Wang, Quan Z. Sheng, Lina Yao, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao:
When Large Language Models Meet Citation: A Survey. CoRR abs/2309.09727 (2023) - [i108]Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang:
Mask Propagation for Efficient Video Semantic Segmentation. CoRR abs/2310.18954 (2023) - [i107]Saurav Jha, Dong Gong, He Zhao, Lina Yao:
NPCL: Neural Processes for Uncertainty-Aware Continual Learning. CoRR abs/2310.19272 (2023) - [i106]Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang:
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. CoRR abs/2312.07424 (2023) - [i105]Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao:
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. CoRR abs/2312.15881 (2023) - 2022
- [j94]May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng:
A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. Comput. J. 65(8): 2098-2132 (2022) - [j93]Usama Salama, Lina Yao, Hye-Young Paik:
A Multilevel Collective Framework for Internet of Things Digital Forensic Investigation. Computer 55(2): 44-53 (2022) - [j92]Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu:
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities. ACM Comput. Surv. 54(4): 77:1-77:40 (2022) - [j91]Nuo Li, Bin Guo, Yan Liu, Yasan Ding, En Xu, Lina Yao, Zhiwen Yu:
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network. Data Min. Knowl. Discov. 36(6): 2214-2236 (2022) - [j90]Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. Frontiers Big Data 5 (2022) - [j89]Yao Liu, Lina Yao, Binghao Li, Claude Sammut, Xiaojun Chang:
Interpolation graph convolutional network for 3D point cloud analysis. Int. J. Intell. Syst. 37(12): 12283-12304 (2022) - [j88]Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Zhongjie Wang, Xiaofei Xu:
Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. IEEE Internet Comput. 26(5): 68-75 (2022) - [j87]Qingyang Li, Zhiwen Yu, Lina Yao, Bin Guo:
RLTIR: Activity-Based Interactive Person Identification via Reinforcement Learning Tree. IEEE Internet Things J. 9(6): 4464-4475 (2022) - [j86]Bin Wu, Lihong Zhong, Lina Yao, Yangdong Ye:
EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things. IEEE Internet Things J. 9(17): 16386-16401 (2022) - [j85]Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim:
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. Knowl. Based Syst. 235: 107665 (2022) - [j84]Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. 249: 108954 (2022) - [j83]Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang:
Generative adversarial U-Net for domain-free few-shot medical diagnosis. Pattern Recognit. Lett. 157: 112-118 (2022) - [j82]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5175-5186 (2022) - [j81]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Graph Neural Network for Robust Public Transit Demand Prediction. IEEE Trans. Intell. Transp. Syst. 23(5): 4086-4098 (2022) - [j80]Jing Chu, Xu Wang, Kun Qian, Lina Yao, Fu Xiao, Jianbo Li, Zheng Yang:
Passenger Demand Prediction With Cellular Footprints. IEEE Trans. Mob. Comput. 21(1): 252-263 (2022) - [j79]Dalin Zhang, Lina Yao, Kaixuan Chen, Zheng Yang, Xin Gao, Yunhao Liu:
Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation. IEEE Trans. Mob. Comput. 21(12): 4517-4528 (2022) - [j78]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2842-2852 (2022) - [j77]Nuo Li, Bin Guo, Yan Liu, Lina Yao, Jiaqi Liu, Zhiwen Yu:
AskMe: joint individual-level and community-level behavior interaction for question recommendation. World Wide Web 25(1): 49-72 (2022) - [c156]Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu:
Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. SCC 2022: 1-9 - [c155]Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Khadeer Hussain, Ee-Peng Lim:
Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. SCC 2022: 305-314 - [c154]Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu:
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI 2022: 3-14 - [c153]May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere:
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. AI 2022: 393-404 - [c152]Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Multi-agent Transformer Networks for Multimodal Human Activity Recognition. CIKM 2022: 1135-1145 - [c151]Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. CIKM 2022: 1339-1349 - [c150]Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao:
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. CVPR 2022: 2980-2989 - [c149]Zesheng Ye, Lina Yao:
Contrastive Conditional Neural Processes. CVPR 2022: 9677-9686 - [c148]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu:
Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP 2022: 3308-3312 - [c147]Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang:
Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. ICDM 2022: 885-890 - [c146]Xinshu Li, Lina Yao:
Contrastive Individual Treatment Effects Estimation. ICDM 2022: 1053-1058 - [c145]Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang:
Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification. MICCAI (1) 2022: 221-230 - [c144]Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao:
A survey on participant selection for federated learning in mobile networks. MobiArch 2022: 19-24 - [c143]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Cycle-Balanced Representation Learning For Counterfactual Inference. SDM 2022: 442-450 - [c142]Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang:
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR 2022: 1316-1325 - [c141]Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu:
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. SIGIR 2022: 1927-1932 - [c140]Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu:
Hierarchical Task-aware Multi-Head Attention Network. SIGIR 2022: 1933-1937 - [c139]Le Pan, Lina Yao, Wenjie Zhang, Xianzhi Wang:
Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning. WISE 2022: 386-394 - [c138]Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim:
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. WISE 2022: 616-629 - [e4]Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li:
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13725, Springer 2022, ISBN 978-3-031-22063-0 [contents] - [e3]Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li:
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13726, Springer 2022, ISBN 978-3-031-22136-1 [contents] - [e2]Javier Troya, Brahim Medjahed, Mario Piattini, Lina Yao, Pablo Fernández, Antonio Ruiz-Cortés:
Service-Oriented Computing - 20th International Conference, ICSOC 2022, Seville, Spain, November 29 - December 2, 2022, Proceedings. Lecture Notes in Computer Science 13740, Springer 2022, ISBN 978-3-031-20983-3 [contents] - [r1]Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun, Ce Zhang:
Deep Learning for Recommender Systems. Recommender Systems Handbook 2022: 173-210 - [i104]Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang:
Balancing Generalization and Specialization in Zero-shot Learning. CoRR abs/2201.01961 (2022) - [i103]Zesheng Ye, Lina Yao:
Contrastive Conditional Neural Processes. CoRR abs/2203.03978 (2022) - [i102]Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang:
Contrastive Graph Learning for Population-based fMRI Classification. CoRR abs/2203.14044 (2022) - [i101]Siyu Wang, Xiaocong Chen, Lina Yao:
Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. CoRR abs/2204.00308 (2022) - [i100]Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao:
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. CoRR abs/2204.02148 (2022) - [i99]Zhe Liu, Yun Li, Lina Yao, Jessica J. M. Monaghan, David McAlpine:
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis. CoRR abs/2205.03230 (2022) - [i98]Yun Li, Zhe Liu, Lina Yao, Molly Lucas, Jessica J. M. Monaghan, Yu Zhang:
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus. CoRR abs/2205.03231 (2022) - [i97]Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang:
Towards Explanation for Unsupervised Graph-Level Representation Learning. CoRR abs/2205.09934 (2022) - [i96]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Unsupervised Knowledge Adaptation for Passenger Demand Forecasting. CoRR abs/2206.04053 (2022) - [i95]Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu:
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review. CoRR abs/2207.00782 (2022) - [i94]Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao:
A Survey on Participant Selection for Federated Learning in Mobile Networks. CoRR abs/2207.03681 (2022) - [i93]Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin:
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity. CoRR abs/2208.03666 (2022) - [i92]Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu:
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation. CoRR abs/2208.04600 (2022) - [i91]Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley:
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. CoRR abs/2208.05142 (2022) - [i90]Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR abs/2208.06746 (2022) - [i89]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. CoRR abs/2208.06748 (2022) - [i88]Dalin Zhang, Kaixuan Chen, Yan Zhao, Bin Yang, Lina Yao, Christian S. Jensen:
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. CoRR abs/2208.10498 (2022) - [i87]Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao:
The Neural Process Family: Survey, Applications and Perspectives. CoRR abs/2209.00517 (2022) - [i86]Xiaocong Chen, Siyu Wang, Lina Yao, Lianyong Qi, Yong Li:
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation. CoRR abs/2209.08228 (2022) - [i85]Can Li, Lei Bai, Lina Yao, S. Travis Waller, Wei Liu:
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications. CoRR abs/2210.14524 (2022) - [i84]Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang:
Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. CoRR abs/2211.02895 (2022) - 2021
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Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications. WorldScientific 2021, ISBN 9781786349583, pp. 1-296 - [j76]Yuxin Zhang, Pari Delir Haghighi, Frada Burstein, Lina Yao, Flavia M. Cicuttini:
On-Device Lumbar-Pelvic Movement Detection Using Dual-IMU: A DNN-Based Approach. IEEE Access 9: 62241-62254 (2021) - [j75]Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao:
An internet of things service roadmap. Commun. ACM 64(9): 86-95 (2021) - [j74]Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu:
The Future of False Information Detection on Social Media: New Perspectives and Trends. ACM Comput. Surv. 53(4): 68:1-68:36 (2021) - [j73]Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang:
Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. Future Gener. Comput. Syst. 121: 25-34 (2021) - [j72]Meng Wang, Weitong Chen, Sen Wang, Yinlin Jiang, Lina Yao, Guilin Qi:
Efficient search over incomplete knowledge graphs in binarized embedding space. Future Gener. Comput. Syst. 123: 24-34 (2021) - [j71]May S. Altulyan, Lina Yao, Chaoran Huang, Xianzhi Wang, Salil S. Kanhere:
Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment. Future Internet 13(12): 305 (2021) - [j70]Syed W. Shah, Salil S. Kanhere, Jin Zhang, Lina Yao:
VID: Human identification through vein patterns captured from commodity depth cameras. IET Biom. 10(2): 142-162 (2021) - [j69]Yang Xiao, Qingqi Pei, Tingting Xiao, Lina Yao, Huan Liu:
MutualRec: Joint friend and item recommendations with mutualistic attentional graph neural networks. J. Netw. Comput. Appl. 177: 102954 (2021) - [j68]Yuanyuan Xu, Yu Yin, Jun Wang, Jinmao Wei, Jian Liu, Lina Yao, Wenjie Zhang:
Unsupervised Cross-View Feature Selection on incomplete data. Knowl. Based Syst. 234: 107595 (2021) - [j67]Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang:
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. Pattern Recognit. 113: 107826 (2021) - [j66]Shaoyang Hao, Bin Guo, Hao Wang, Yunji Liang, Lina Yao, Qianru Wang, Zhiwen Yu:
DeepDepict: Enabling Information Rich, Personalized Product Description Generation With the Deep Multiple Pointer Generator Network. ACM Trans. Knowl. Discov. Data 15(5): 83:1-83:16 (2021) - [j65]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j64]Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah, Chaoran Huang:
Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. IEEE Trans. Serv. Comput. 14(2): 502-515 (2021) - [c137]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long:
Task Aligned Generative Meta-learning for Zero-shot Learning. AAAI 2021: 8723-8731 - [c136]Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao:
Intention Recognition from Spatio-Temporal Representation of EEG Signals. ADC 2021: 1-12 - [c135]May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere:
Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. ADC 2021: 37-49 - [c134]Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang:
Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. ADC 2021: 50-61 - [c133]Zhengxin Fang, Mingcheng Qu, Shuai Zhang, Jingyu Zhang, Yi Yuan, Lina Yao, Shiping Chen:
HFM++: An Enhanced Holographic Factorization Machine for Recommendation. AusDM 2021: 72-85 - [c132]Moshe Chai Barukh, Shayan Zamanirad, Marcos Báez, Amin Beheshti, Boualem Benatallah, Fabio Casati, Lina Yao, Quan Z. Sheng, Francesco Schiliro:
Cognitive Augmentation in Processes. Next-Gen Digital Services 2021: 123-137 - [c131]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM 2021: 201-210 - [c130]Zhihui Li, Lina Yao:
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations. CVPR 2021: 4751-4760 - [c129]Hong Jia, Jun Liu, Yuezhong Wu, Tomasz Bednarz, Lina Yao, Wen Hu:
Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks. EWSN 2021: 31-42 - [c128]Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. ICDM 2021: 101-110 - [c127]Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang:
Global Convolutional Neural Processes. ICDM 2021: 699-708 - [c126]Xiaocong Chen, Lina Yao, Yu Zhang:
RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. WISE (2) 2021: 122-136 - [c125]Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah:
NP-PROV: Neural Processes with Position-Relevant-Only Variances. WISE (1) 2021: 129-142 - [i83]Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang:
Generative Adversarial U-Net for Domain-free Medical Image Augmentation. CoRR abs/2101.04793 (2021) - [i82]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long:
Task Aligned Generative Meta-learning for Zero-shot Learning. CoRR abs/2103.02185 (2021) - [i81]Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao:
An Internet of Things Service Roadmap. CoRR abs/2103.03043 (2021) - [i80]Qingyang Li, Zhiwen Yu, Lina Yao, Bin Guo:
RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree. CoRR abs/2103.11104 (2021) - [i79]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang:
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. CoRR abs/2104.10857 (2021) - [i78]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR abs/2105.00822 (2021) - [i77]Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang:
Global Convolutional Neural Processes. CoRR abs/2109.00691 (2021) - [i76]Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR abs/2109.03540 (2021) - [i75]Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh, Lina Yao, Andy Song, Xiaojun Chang:
Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions. CoRR abs/2109.06057 (2021) - [i74]Nuo Li, Bin Guo, Yan Liu, Lina Yao, Jiaqi Liu, Zhiwen Yu:
AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation. CoRR abs/2110.05295 (2021) - [i73]Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley:
Locality-Sensitive Experience Replay for Online Recommendation. CoRR abs/2110.10850 (2021) - [i72]Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Cycle-Balanced Representation Learning For Counterfactual Inference. CoRR abs/2110.15484 (2021) - [i71]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. CoRR abs/2111.02139 (2021) - [i70]Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon:
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. CoRR abs/2112.00410 (2021) - [i69]Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. CoRR abs/2112.00973 (2021) - 2020
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A multi-view CNN-based acoustic classification system for automatic animal species identification. Ad Hoc Networks 102: 102115 (2020) - [j62]Bin Guo, Xing Xie, Lina Yao, Yong Li, Xia Hu:
Correction to: Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. 2(1): 78 (2020) - [j61]Sin Kuang Lo, Xiwei Xu, Mark Staples, Lina Yao:
Reliability analysis for blockchain oracles. Comput. Electr. Eng. 83: 106582 (2020) - [j60]Yang Xiao, Qingqi Pei, Lina Yao, Xianzhi Wang:
RecRisk: An enhanced recommendation model with multi-facet risk control. Expert Syst. Appl. 158: 113561 (2020) - [j59]Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang, Quan Z. Sheng:
MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. IEEE Intell. Syst. 35(5): 7-17 (2020) - [j58]Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Bin Guo, Zhiwen Yu:
Adversarial Multi-view Networks for Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 42:1-42:22 (2020) - [j57]Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao, Yanzhang Lyu:
Dual-stream generative adversarial networks for distributionally robust zero-shot learning. Inf. Sci. 519: 407-422 (2020) - [j56]Yang Xiao, Qingqi Pei, Lina Yao, Shui Yu, Lei Bai, Xianzhi Wang:
An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness. J. Netw. Comput. Appl. 156: 102579 (2020) - [j55]Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao:
Memory transformation networks for weakly supervised visual classification. Knowl. Based Syst. 210: 106432 (2020) - [j54]May S. Altulyan, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Chaoran Huang:
A unified framework for data integrity protection in people-centric smart cities. Multim. Tools Appl. 79(7-8): 4989-5002 (2020) - [j53]Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang:
Software expert discovery via knowledge domain embeddings in a collaborative network. Pattern Recognit. Lett. 130: 46-53 (2020) - [j52]Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang:
Rating prediction via generative convolutional neural networks based regression. Pattern Recognit. Lett. 132: 12-20 (2020) - [j51]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning:
Opinion fraud detection via neural autoencoder decision forest. Pattern Recognit. Lett. 132: 21-29 (2020) - [j50]Yuxin Zhang, Pari Delir Haghighi, Frada Burstein, Lim Wei Yap, Wenlong Cheng, Lina Yao, Flavia M. Cicuttini:
Electronic Skin Wearable Sensors for Detecting Lumbar-Pelvic Movements. Sensors 20(5): 1510 (2020) - [j49]Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Xiaojun Chang, Yunhao Liu:
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. IEEE Trans. Cybern. 50(7): 3033-3044 (2020) - [j48]Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu:
Unraveling Metric Vector Spaces With Factorization for Recommendation. IEEE Trans. Ind. Informatics 16(2): 732-742 (2020) - [j47]Xiang Zhang, Lina Yao, Chaoran Huang, Tao Gu, Zheng Yang, Yunhao Liu:
DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. ACM Trans. Intell. Syst. Technol. 11(4): 49:1-49:24 (2020) - [j46]Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao:
Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals. IEEE J. Biomed. Health Informatics 24(9): 2570-2579 (2020) - [j45]Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li:
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics 24(10): 2852-2859 (2020) - [j44]Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie:
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1747-1756 (2020) - [j43]Weitong Chen, Guodong Long, Lina Yao, Quan Z. Sheng:
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. World Wide Web 23(5): 2753-2770 (2020) - [c124]Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang:
Adaptive Two-Dimensional Embedded Image Clustering. AAAI 2020: 4796-4803 - [c123]Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang:
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. AAAI 2020: 8269-8276 - [c122]Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen:
One-Shot Learning for Long-Tail Visual Relation Detection. AAAI 2020: 12225-12232 - [c121]Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai:
Shape-Oriented Convolution Neural Network for Point Cloud Analysis. AAAI 2020: 12773-12780 - [c120]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. CIKM 2020: 715-724 - [c119]Feng Yuan, Lina Yao, Boualem Benatallah:
Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering. CIKM 2020: 1773-1782 - [c118]Yun Li, Zhe Liu, Lina Yao, Zihuai He:
Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. CIKM 2020: 2117-2120 - [c117]Chaoran Huang, Lina Yao:
Active Object Estimation for Human-Robot Collaborative Tasks. ICONIP (2) 2020: 750-761 - [c116]Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng:
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space. IJCAI 2020: 906-912 - [c115]Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang:
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. IJCNN 2020: 1-8 - [c114]Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An:
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. IJCNN 2020: 1-8 - [c113]Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu:
TRec: Sequential Recommender Based On Latent Item Trend Information. IJCNN 2020: 1-8 - [c112]Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng:
Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. IJCNN 2020: 1-6 - [c111]Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang:
Spectrum-Guided Adversarial Disparity Learning. KDD 2020: 114-124 - [c110]Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang:
Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. KDD 2020: 297-305 - [c109]Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu:
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. KDD 2020: 688-697 - [c108]Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang:
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. NeurIPS 2020 - [c107]Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai, S. Travis Waller:
Mobility Irregularity Detection with Smart Transit Card Data. PAKDD (1) 2020: 541-552 - [c106]Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao:
Prototype Similarity Learning for Activity Recognition. PAKDD (1) 2020: 649-661 - [c105]Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang:
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. SIGIR 2020: 1669-1672 - [i68]Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu:
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities. CoRR abs/2001.07416 (2020) - [i67]Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei:
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification. CoRR abs/2002.09821 (2020) - [i66]Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Trust in Recommender Systems: A Deep Learning Perspective. CoRR abs/2004.03774 (2020) - [i65]Xiaocong Chen, Lina Yao, Yu Zhang:
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. CoRR abs/2004.05645 (2020) - [i64]Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang:
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. CoRR abs/2004.08068 (2020) - [i63]Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An:
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. CoRR abs/2004.08581 (2020) - [i62]Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai:
Shape-Oriented Convolution Neural Network for Point Cloud Analysis. CoRR abs/2004.09411 (2020) - [i61]Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen Hoang Tran, Lina Yao, Nguyen Lu Dang Khoa:
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems. CoRR abs/2004.13245 (2020) - [i60]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multi-view Clustering. CoRR abs/2005.05556 (2020) - [i59]Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang:
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. CoRR abs/2006.07934 (2020) - [i58]Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang:
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images. CoRR abs/2006.13276 (2020) - [i57]Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie:
NP-PROV: Neural Processes with Position-Relevant-Only Variances. CoRR abs/2007.00767 (2020) - [i56]Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang:
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR abs/2007.02842 (2020) - [i55]Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu:
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. CoRR abs/2007.03183 (2020) - [i54]May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng:
Recommender Systems for the Internet of Things: A Survey. CoRR abs/2007.06758 (2020) - [i53]Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang:
Spectrum-Guided Adversarial Disparity Learning. CoRR abs/2007.06831 (2020) - [i52]Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim:
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. CoRR abs/2007.06842 (2020) - [i51]Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu:
TRec: Sequential Recommender Based On Latent Item Trend Information. CoRR abs/2009.05183 (2020) - [i50]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. CoRR abs/2009.05777 (2020) - [i49]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CoRR abs/2011.02248 (2020)
2010 – 2019
- 2019
- [j42]Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao:
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Aust. J. Intell. Inf. Process. Syst. 15(2): 36-43 (2019) - [j41]Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar:
Internet of things search engine. Commun. ACM 62(7): 66-73 (2019) - [j40]Bin Guo, Xing Xie, Lina Yao, Yong Li, Cecilia Mascolo, Xia Hu:
Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. 1(4): 237-239 (2019) - [j39]Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay:
Deep Learning Based Recommender System: A Survey and New Perspectives. ACM Comput. Surv. 52(1): 5:1-5:38 (2019) - [j38]Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Shuai Zhang:
Recommendations on the Internet of Things: Requirements, Challenges, and Directions. IEEE Internet Comput. 23(3): 46-54 (2019) - [j37]Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Michael Sheng, Yunhao Liu:
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. IEEE Internet Things J. 6(2): 2084-2092 (2019) - [j36]Zhiwen Yu, En Xu, He Du, Bin Guo, Lina Yao:
Inferring User Profile Attributes From Multidimensional Mobile Phone Sensory Data. IEEE Internet Things J. 6(3): 5152-5162 (2019) - [j35]Yan Liu, Bin Guo, Nuo Li, Jing Zhang, Jingmin Chen, Daqing Zhang, Yinxiao Liu, Zhiwen Yu, Sizhe Zhang, Lina Yao:
DeepStore: An Interaction-Aware Wide&Deep Model for Store Site Recommendation With Attentional Spatial Embeddings. IEEE Internet Things J. 6(4): 7319-7333 (2019) - [j34]Lichuan Ma, Qingqi Pei, Yong Xiang, Lina Yao, Shui Yu:
A reliable reputation computation framework for online items in E-commerce. J. Netw. Comput. Appl. 134: 13-25 (2019) - [j33]Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun, Huaxiang Zhang:
Zero-shot event detection via event-adaptive concept relevance mining. Pattern Recognit. 88: 595-603 (2019) - [j32]Dalin Zhang, Lina Yao, Kaixuan Chen, Jessica Monaghan:
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis. IEEE Signal Process. Lett. 26(5): 715-719 (2019) - [j31]Xiaodong Ning, Lina Yao, Boualem Benatallah, Yihong Zhang, Quan Z. Sheng, Salil S. Kanhere:
Source-Aware Crisis-Relevant Tweet Identification and Key Information Summarization. ACM Trans. Internet Techn. 19(3): 37:1-37:20 (2019) - [j30]Xianzhi Wang, Xiaofei Xu, Quan Z. Sheng, Zhongjie Wang, Lina Yao:
Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. IEEE Trans. Serv. Comput. 12(2): 247-261 (2019) - [c104]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. AAAI 2019: 3321-3328 - [c103]Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh:
Holographic Factorization Machines for Recommendation. AAAI 2019: 5143-5150 - [c102]Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil S. Kanhere, Huaxiang Zhang:
Zero-Shot Object Detection with Textual Descriptions. AAAI 2019: 8690-8697 - [c101]May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yuanjiang Cao:
Reminder Care System: An Activity-Aware Cross-Device Recommendation System. ADMA 2019: 207-220 - [c100]Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao:
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. ADMA 2019: 288-301 - [c99]Zhihui Li, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, Huaxiang Zhang:
Domain-Aware Unsupervised Cross-dataset Person Re-identification. ADMA 2019: 406-420 - [c98]Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu, Zheng Yang:
Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. CIKM 2019: 2293-2296 - [c97]Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu:
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. ICDM 2019: 896-905 - [c96]Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, Yang Chen:
Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs. ICDM 2019: 1360-1365 - [c95]Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li:
Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. ICDM 2019: 1450-1455 - [c94]Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang:
Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. ICDM 2019: 1498-1503 - [c93]Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) 2019: 287-295 - [c92]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Passenger Demographic Attributes Prediction for Human-Centered Public Transport. ICONIP (4) 2019: 486-494 - [c91]Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu:
Multi-agent Attentional Activity Recognition. IJCAI 2019: 1344-1350 - [c90]Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng:
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. IJCAI 2019: 1981-1987 - [c89]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI 2019: 3015-3022 - [c88]Feng Yuan, Lina Yao, Boualem Benatallah:
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. IJCAI 2019: 4227-4233 - [c87]Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. IJCAI 2019: 4313-4319 - [c86]Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun:
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. IJCAI 2019: 6581-6583 - [c85]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng:
Dual-stream Self-Attentive Random Forest for False Information Detection. IJCNN 2019: 1-8 - [c84]Feng Yuan, Lina Yao, Boualem Benatallah:
Adversarial Collaborative Auto-encoder for Top-N Recommendation. IJCNN 2019: 1-8 - [c83]Xiang Zhang, Lina Yao, Feng Yuan:
Adversarial Variational Embedding for Robust Semi-supervised Learning. KDD 2019: 139-147 - [c82]Shuai Zhang, Yi Tay, Lina Yao, Qi Liu:
Quaternion Knowledge Graph Embeddings. NeurIPS 2019: 2731-2741 - [c81]Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, Xianzhi Wang:
Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks. PAKDD (2) 2019: 29-42 - [c80]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang:
Similarity-Aware Deep Attentive Model for Clickbait Detection. PAKDD (2) 2019: 56-69 - [c79]Hong Jia, Yuezhong Wu, Jun Liu, Lina Yao, Wen Hu:
Mobile golf swing tracking using deep learning with data fusion: poster abstract. SenSys 2019: 422-423 - [c78]Feng Yuan, Lina Yao, Boualem Benatallah:
Adversarial Collaborative Neural Network for Robust Recommendation. SIGIR 2019: 1065-1068 - [i48]Shuai Zhang, Yi Tay, Lina Yao, Qi Liu:
Quaternion Knowledge Graph Embedding. CoRR abs/1904.10281 (2019) - [i47]Xiang Zhang, Lina Yao, Feng Yuan:
Adversarial Variational Embedding for Robust Semi-supervised Learning. CoRR abs/1905.02361 (2019) - [i46]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR abs/1905.04042 (2019) - [i45]Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine:
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. CoRR abs/1905.04149 (2019) - [i44]Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu:
Multi-agent Attentional Activity Recognition. CoRR abs/1905.08948 (2019) - [i43]Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng:
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. CoRR abs/1905.10069 (2019) - [i42]Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun:
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. CoRR abs/1905.10536 (2019) - [i41]Feng Yuan, Lina Yao, Boualem Benatallah:
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. CoRR abs/1905.10760 (2019) - [i40]Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. CoRR abs/1906.02594 (2019) - [i39]Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao:
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. CoRR abs/1907.13351 (2019) - [i38]Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR abs/1907.13359 (2019) - [i37]Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu:
The Future of Misinformation Detection: New Perspectives and Trends. CoRR abs/1909.03654 (2019) - [i36]Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li:
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. CoRR abs/1909.10868 (2019) - [i35]Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang:
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. CoRR abs/1911.11899 (2019) - 2018
- [j29]Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Xianzhi Wang, Ali Shemshadi, Salil S. Kanhere:
WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes. Computing 100(4): 369-385 (2018) - [j28]Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen:
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 149:1-149:23 (2018) - [j27]Usama Salama, Lina Yao, Hye-young Paik:
An Internet of Things Based Multi-Level Privacy-Preserving Access Control for Smart Living. Informatics 5(2): 23 (2018) - [j26]Zhichao Zhang, Yuan Zhang, Lina Yao, Houbing Song, Anton Kos:
A sensor-based wrist pulse signal processing and lung cancer recognition. J. Biomed. Informatics 79: 107-116 (2018) - [j25]Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong:
A Survey on Expert Recommendation in Community Question Answering. J. Comput. Sci. Technol. 33(4): 625-653 (2018) - [j24]Wenjie Ruan, Quan Z. Sheng, Lina Yao, Xue Li, Nickolas J. G. Falkner, Lei Yang:
Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach. J. Netw. Comput. Appl. 104: 78-96 (2018) - [j23]Lina Yao, Quan Z. Sheng, Xue Li, Tao Gu, Mingkui Tan, Xianzhi Wang, Sen Wang, Wenjie Ruan:
Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength. IEEE Trans. Mob. Comput. 17(2): 293-306 (2018) - [j22]Lina Yao, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Yongrui Qin:
Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information. ACM Trans. Internet Techn. 18(3): 32:1-32:24 (2018) - [j21]Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Kerry Taylor, Ali Shemshadi, Yongrui Qin:
A Learning-Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases. ACM Trans. Internet Techn. 18(3): 35:1-35:20 (2018) - [j20]Lina Yao, Quan Z. Sheng, Xianzhi Wang, Shengrui Wang, Xue Li, Sen Wang:
Collaborative text categorization via exploiting sparse coefficients. World Wide Web 21(2): 373-394 (2018) - [j19]Wei Emma Zhang, Quan Z. Sheng, Yongrui Qin, Kerry Taylor, Lina Yao:
Learning-based SPARQL query performance modeling and prediction. World Wide Web 21(4): 1015-1035 (2018) - [c77]Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah:
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. AAAI 2018: 1703-1710 - [c76]Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long:
Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis. AAAI 2018: 2746-2753 - [c75]Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu:
Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. AAAI 2018: 7081-7088 - [c74]Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang:
Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. CIKM 2018: 1763-1766 - [c73]Bozhi Wang, Shiping Chen, Lina Yao, Bin Liu, Xiwei Xu, Liming Zhu:
A Simulation Approach for Studying Behavior and Quality of Blockchain Networks. ICBC 2018: 18-31 - [c72]Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li:
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. ICDM 2018: 917-922 - [c71]Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong:
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. ICSOC 2018: 373-387 - [c70]Shuai Zhang, Lina Yao, Xiaodong Ning, Chaoran Huang, Xiwei Xu, Shiyan Ou:
Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation. ICWS 2018: 246-260 - [c69]Marcosiris A. O. Pessoa, Marcos A. Pisching, Lina Yao, Fabrício Junqueira, Paulo E. Miyagi, Boualem Benatallah:
Industry 4.0, How to Integrate Legacy Devices: A Cloud IoT Approach. IECON 2018: 2902-2907 - [c68]Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Adversarially Regularized Graph Autoencoder for Graph Embedding. IJCAI 2018: 2609-2615 - [c67]Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang:
Multi-modality Sensor Data Classification with Selective Attention. IJCAI 2018: 3111-3117 - [c66]Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong:
NeuRec: On Nonlinear Transformation for Personalized Ranking. IJCAI 2018: 3669-3675 - [c65]Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang:
Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. IJCNN 2018: 1-8 - [c64]Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang:
Automatic Device Classification from Network Traffic Streams of Internet of Things. LCN 2018: 597-605 - [c63]Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Flora D. Salim, Pari Delir Haghighi:
Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics. MobiQuitous 2018: 19-28 - [c62]Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah:
Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition. PAKDD (1) 2018: 156-168 - [c61]Yihong Zhang, Lina Yao:
Mining POI Alias from Microblog Conversations. PAKDD (1) 2018: 425-436 - [c60]Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang:
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. PerCom 2018: 1-10 - [c59]Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li:
EEG-based Motion Intention Recognition via Multi-task RNNs. SDM 2018: 279-287 - [c58]Jing Chu, Kun Qian, Xu Wang, Lina Yao, Fu Xiao, Jianbo Li, Xin Miao, Zheng Yang:
Passenger Demand Prediction with Cellular Footprints. SECON 2018: 163-171 - [c57]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng, Hao Huang:
DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. WISE (1) 2018: 199-209 - [c56]Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang:
Data-Augmented Regression with Generative Convolutional Network. WISE (2) 2018: 301-311 - [i34]Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Zheng Yang, Yunhao Liu:
Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks. CoRR abs/1802.03996 (2018) - [i33]Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Adversarially Regularized Graph Autoencoder. CoRR abs/1802.04407 (2018) - [i32]Shuai Zhang, Lina Yao, Chaoran Huang, Xiwei Xu, Liming Zhu:
Position and Distance: Recommendation beyond Matrix Factorization. CoRR abs/1802.04606 (2018) - [i31]Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang:
Multi-modality Sensor Data Classification with Selective Attention. CoRR abs/1804.05493 (2018) - [i30]Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu:
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. CoRR abs/1805.00789 (2018) - [i29]Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong:
NeuRec: On Nonlinear Transformation for Personalized Ranking. CoRR abs/1805.03002 (2018) - [i28]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning:
Opinion Fraud Detection via Neural Autoencoder Decision Forest. CoRR abs/1805.03379 (2018) - [i27]Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang:
Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. CoRR abs/1805.07233 (2018) - [i26]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang:
GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. CoRR abs/1806.08079 (2018) - [i25]Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong:
A Survey on Expert Recommendation in Community Question Answering. CoRR abs/1807.05540 (2018) - [i24]Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong:
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. CoRR abs/1808.01092 (2018) - [i23]Feng Yuan, Lina Yao, Boualem Benatallah:
Adversarial Collaborative Auto-encoder for Top-N Recommendation. CoRR abs/1808.05361 (2018) - [i22]Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun:
Next Item Recommendation with Self-Attention. CoRR abs/1808.06414 (2018) - [i21]Xiang Zhang, Lina Yao, Chaoran Huang, Salil S. Kanhere, Dalin Zhang:
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. CoRR abs/1810.02223 (2018) - [i20]Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang:
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network. CoRR abs/1810.11305 (2018) - [i19]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. CoRR abs/1811.05299 (2018) - [i18]Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar:
Internet of Things Search Engine: Concepts, Classification, and Open Issues. CoRR abs/1812.02930 (2018) - [i17]Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang:
Automatic Device Classification from Network Traffic Streams of Internet of Things. CoRR abs/1812.09882 (2018) - 2017
- [j18]Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao:
Searching the Web of Things: State of the Art, Challenges, and Solutions. ACM Comput. Surv. 50(4): 55:1-55:34 (2017) - [j17]Ali Shemshadi, Quan Z. Sheng, Yongrui Qin, Aixin Sun, Wei Emma Zhang, Lina Yao:
Searching for the internet of things: where it is and what it looks like. Pers. Ubiquitous Comput. 21(6): 1097-1112 (2017) - [j16]Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li, Boualem Benattalah:
Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things. ACM Trans. Intell. Syst. Technol. 8(5): 62:1-62:25 (2017) - [j15]Sen Wang, Xue Li, Xiaojun Chang, Lina Yao, Quan Z. Sheng, Guodong Long:
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. ACM Trans. Knowl. Discov. Data 11(3): 31:1-31:21 (2017) - [j14]Yongrui Qin, Quan Z. Sheng, Nickolas J. G. Falkner, Lina Yao, Simon Parkinson:
Efficient computation of distance labeling for decremental updates in large dynamic graphs. World Wide Web 20(5): 915-937 (2017) - [c55]Guangyang Qi, Lina Yao, Anton V. Uzunov:
Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks. ADMA 2017: 33-48 - [c54]Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah:
Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises. ADMA 2017: 195-208 - [c53]Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Mahmoud Barhamgi, Lina Yao, Anne H. H. Ngu:
SourceVote: Fusing Multi-valued Data via Inter-source Agreements. ER 2017: 164-172 - [c52]Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu:
Hybrid Collaborative Recommendation via Semi-AutoEncoder. ICONIP (1) 2017: 185-193 - [c51]Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang:
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. ICONIP (2) 2017: 748-758 - [c50]Anne H. H. Ngu, Yeahuay Wu, Habil Zare, Andrew Polican, Brock Yarbrough, Lina Yao:
Fall Detection Using Smartwatch Sensor Data with Accessor Architecture. ICSH 2017: 81-93 - [c49]Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng:
Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. ICWS 2017: 317-324 - [c48]Usama Salama, Lina Yao, Xianzhi Wang, Hye-Young Paik, Amin Beheshti:
Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring. ICWS 2017: 878-881 - [c47]Chunguang Li, Rongyi He, Lina Yao, Chongben Tao:
Gait Optimization for Multiple Humanoid Robots Based on Parallel Multi-swarm Particle Swarm Algorithm. MobiQuitous 2017: 11-19 - [c46]Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu:
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. MobiQuitous 2017: 28-37 - [c45]Peipei Xu, Wenjie Ruan, Quan Z. Sheng, Tao Gu, Lina Yao:
Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data: A Tensor SVD Approach. MobiQuitous 2017: 442-451 - [c44]Shuai Zhang, Lina Yao, Xiwei Xu:
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. SIGIR 2017: 957-960 - [c43]Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao:
A Kernel-Based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things. WISE (1) 2017: 315-329 - [p2]Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li, Boualem Benatallah, Xianzhi Wang:
Building Entity Graphs for the Web of Things Management. Managing the Web of Things 2017: 275-303 - [p1]Quan Z. Sheng, Yongrui Qin, Lina Yao, Boualem Benatallah:
Preface. Managing the Web of Things 2017: xvii-xviii - [e1]Michael Sheng, Yongrui Qin, Lina Yao, Boualem Benatallah:
Managing the Web of Things: Linking the Real World to the Web. Morgan Kaufmann 2017, ISBN 978-0-12-809764-9 [contents] - [i16]Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang:
Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks. CoRR abs/1702.06830 (2017) - [i15]Shuai Zhang, Lina Yao:
Dynamic Intention-Aware Recommendation System. CoRR abs/1703.03112 (2017) - [i14]Shuai Zhang, Lina Yao, Xiwei Xu:
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. CoRR abs/1704.00551 (2017) - [i13]Xiang Zhang, Lina Yao, Kaixuan Chen, Xianzhi Wang, Quan Z. Sheng, Tao Gu:
DeepKey: An EEG and Gait Based Dual-Authentication System. CoRR abs/1706.01606 (2017) - [i12]Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu:
Hybrid Collaborative Recommendation via Semi-AutoEncoder. CoRR abs/1706.04453 (2017) - [i11]Shuai Zhang, Lina Yao, Aixin Sun:
Deep Learning based Recommender System: A Survey and New Perspectives. CoRR abs/1707.07435 (2017) - [i10]Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots:
EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. CoRR abs/1708.06578 (2017) - [i9]Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang:
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. CoRR abs/1709.08820 (2017) - [i8]Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu:
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. CoRR abs/1709.09077 (2017) - [i7]Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen:
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. CoRR abs/1711.06149 (2017) - [i6]Kaixuan Chen, Lina Yao, Tao Gu, Zhiwen Yu, Xianzhi Wang, Dalin Zhang:
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition. CoRR abs/1711.07661 (2017) - 2016
- [j13]Sen Wang, Xiaojun Chang, Xue Li, Guodong Long, Lina Yao, Quan Z. Sheng:
Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding. IEEE Trans. Knowl. Data Eng. 28(12): 3191-3202 (2016) - [j12]Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li:
Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things. ACM Trans. Internet Techn. 16(2): 9:1-9:25 (2016) - [j11]Talal H. Noor, Quan Z. Sheng, Lina Yao, Schahram Dustdar, Anne H. H. Ngu:
CloudArmor: Supporting Reputation-Based Trust Management for Cloud Services. IEEE Trans. Parallel Distributed Syst. 27(2): 367-380 (2016) - [j10]Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Xue Li, Sen Wang:
Multi-label classification via learning a unified object-label graph with sparse representation. World Wide Web 19(6): 1125-1149 (2016) - [c42]Wenjie Ruan, Leon Chea, Quan Z. Sheng, Lina Yao:
Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach. ADMA 2016: 250-265 - [c41]Abdullah Alfazi, Quan Z. Sheng, Wei Emma Zhang, Lina Yao, Talal H. Noor:
Identification as a Service: Large-Scale Cloud Service Discovery over the World Wide Web. BigData Congress 2016: 485-492 - [c40]Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah:
Truth Discovery via Exploiting Implications from Multi-Source Data. CIKM 2016: 861-870 - [c39]Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah:
Empowering Truth Discovery with Multi-Truth Prediction. CIKM 2016: 881-890 - [c38]Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi:
Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. CIKM 2016: 1743-1752 - [c37]Yongrui Qin, Lina Yao, Quan Z. Sheng:
Approximate Semantic Matching over Linked Data Streams. DEXA (2) 2016: 37-51 - [c36]Lina Yao, Feiping Nie, Quan Z. Sheng, Tao Gu, Xue Li, Sen Wang:
Learning from less for better: semi-supervised activity recognition via shared structure discovery. UbiComp 2016: 13-24 - [c35]Lina Yao, Boualem Benatallah, Xianzhi Wang, Nguyen Khoi Tran, Qinghua Lu:
Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly. ICSOC 2016: 763-779 - [c34]Bobaker Mohamed A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, Xianzhi Wang:
PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction. ICWS 2016: 623-630 - [c33]Wenjie Ruan, Quan Z. Sheng, Lina Yao, Nguyen Khoi Tran, Yu Chieh Yang:
PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness. PerCom Workshops 2016: 1-3 - [c32]Wenjie Ruan, Quan Z. Sheng, Lina Yao, Lei Yang, Tao Gu:
HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion. PerCom Workshops 2016: 1-4 - [c31]Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao:
Uncovering Locally Discriminative Structure for Feature Analysis. ECML/PKDD (1) 2016: 281-295 - [c30]Wei Emma Zhang, Quan Z. Sheng, Yongrui Qin, Lina Yao, Ali Shemshadi, Kerry L. Taylor:
SECF: improving SPARQL querying performance with proactive fetching and caching. SAC 2016: 362-367 - [c29]Wei Emma Zhang, Quan Z. Sheng, Kerry L. Taylor, Yongrui Qin, Lina Yao:
Learning-Based SPARQL Query Performance Prediction. WISE (1) 2016: 313-327 - [c28]Wenjie Ruan, Quan Z. Sheng, Lina Yao, Tao Gu, Michele Ruta, Longfei Shangguan:
Device-free indoor localization and tracking through Human-Object Interactions. WoWMoM 2016: 1-9 - [i5]Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao:
Uncovering Locally Discriminative Structure for Feature Analysis. CoRR abs/1607.02559 (2016) - [i4]Ali Shemshadi, Quan Z. Sheng, Wei Emma Zhang, Aixin Sun, Yongrui Qin, Lina Yao:
Searching for the Internet of Things on the Web: Where It Is and What It Looks Like. CoRR abs/1607.06884 (2016) - 2015
- [j9]Lina Yao, Quan Z. Sheng, Wenjie Ruan, Tao Gu, Xue Li, Nick Falkner, Zhi Yang:
RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array. EAI Endorsed Trans. Ambient Syst. 2(6): e2 (2015) - [j8]Lina Yao, Quan Z. Sheng, Schahram Dustdar:
Web-Based Management of the Internet of Things. IEEE Internet Comput. 19(4): 60-67 (2015) - [j7]Rui Zeng, Quan Z. Sheng, Lina Yao:
A simulation method for social networks. Soc. Netw. Anal. Min. 5(1): 6:1-6:14 (2015) - [j6]Quan Z. Sheng, Athanasios V. Vasilakos, Qi Yu, Lina Yao:
Guest Editorial: Big Data Analytics and the Web. IEEE Trans. Big Data 1(4): 123-124 (2015) - [j5]Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Jian Yu, Aviv Segev:
Unified Collaborative and Content-Based Web Service Recommendation. IEEE Trans. Serv. Comput. 8(3): 453-466 (2015) - [c27]Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Lina Yao, Xiaofei Xu, Xue Li:
An Integrated Bayesian Approach for Effective Multi-Truth Discovery. CIKM 2015: 493-502 - [c26]Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Xue Li, Xiaofei Xu, Lina Yao:
Approximate Truth Discovery via Problem Scale Reduction. CIKM 2015: 503-512 - [c25]Lina Yao, Quan Z. Sheng, Xue Li, Sen Wang, Tao Gu, Wenjie Ruan, Wan Zou:
Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data. ICDM 2015: 1087-1092 - [c24]Lina Yao, Quan Z. Sheng, Wenjie Ruan, Xue Li, Sen Wang, Zhi Yang:
Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength. ICPADS 2015: 116-123 - [c23]Lina Yao, Xianzhi Wang, Quan Z. Sheng, Wenjie Ruan, Wei Zhang:
Service Recommendation for Mashup Composition with Implicit Correlation Regularization. ICWS 2015: 217-224 - [c22]Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Xue Li, Tao Gu:
TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags. MobiQuitous 2015: 140-149 - [c21]Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng:
Unsupervised Feature Analysis with Class Margin Optimization. ECML/PKDD (1) 2015: 383-398 - [c20]Lina Yao, Quan Z. Sheng, Yongrui Qin, Xianzhi Wang, Ali Shemshadi, Qi He:
Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization. SIGIR 2015: 1007-1010 - [c19]Ali Shemshadi, Lina Yao, Yongrui Qin, Quan Z. Sheng, Yihong Zhang:
ECS: A Framework for Diversified and Relevant Search in the Internet of Things. WISE (1) 2015: 448-462 - [i3]Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng:
Unsupervised Feature Analysis with Class Margin Optimization. CoRR abs/1506.01330 (2015) - [i2]Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Ali Shemshadi, Xianzhi Wang, Anne H. H. Ngu:
Up in the Air: When Homes Meet the Web of Things. CoRR abs/1512.06257 (2015) - [i1]Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Boualem Benatallah, Xue Li:
Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things. CoRR abs/1512.08493 (2015) - 2014
- [j4]Quan Z. Sheng, Zakaria Maamar, Lina Yao, Claudia Szabo, Scott Bourne:
Behavior modeling and automated verification of Web services. Inf. Sci. 258: 416-433 (2014) - [j3]Zakaria Maamar, Noura Faci, Khouloud Boukadi, Quan Z. Sheng, Lina Yao:
Commitments to Regulate Social Web Services Operation. IEEE Trans. Serv. Comput. 7(2): 154-167 (2014) - [c18]Lina Yao, Wenjie Ruan, Quan Z. Sheng, Xue Li, Nickolas J. G. Falkner:
Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches. CIKM 2014: 1799-1802 - [c17]Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao:
Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. CIKM 2014: 2027-2029 - [c16]Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Anne H. H. Ngu:
ThingsNavi: finding most-related things via multi-dimensional modeling of human-thing interactions. MobiQuitous 2014: 20-29 - [c15]Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Xue Li:
TagTrack: device-free localization and tracking using passive RFID tags. MobiQuitous 2014: 80-89 - [c14]Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Helen Ashman, Xue Li:
Exploring recommendations in internet of things. SIGIR 2014: 855-858 - [c13]Anne H. H. Ngu, Jiangang Ma, Quan Z. Sheng, Lina Yao, Scott Julian:
ServiceXplorer: a similarity-based web service search engine. SIGIR 2014: 1251-1252 - [c12]Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, Ali Shemshadi:
Keyword Search over Web Documents Based on Earth Mover's Distance. WISE (1) 2014: 256-265 - 2013
- [c11]Lina Yao, Sujith Samuel Mathew, Michele Ruta:
The 3rd International Workshop on Internet of Ubiquitous and Pervasive Things IUPT'2013 Preface. ANT/SEIT 2013: 1129 - [c10]Rui Zeng, Quan Z. Sheng, Lina Yao, Tianwei Xu, Dong Xie:
A Practical Simulation Method for Social Networks. AWC 2013: 27-34 - [c9]Lina Yao, Quan Z. Sheng, Byron J. Gao, Anne H. H. Ngu, Xue Li:
A Model for Discovering Correlations of Ubiquitous Things. ICDM 2013: 1253-1258 - [c8]Lina Yao, Quan Z. Sheng, Aviv Segev, Jian Yu:
Recommending Web Services via Combining Collaborative Filtering with Content-Based Features. ICWS 2013: 42-49 - [c7]Lina Yao, Quan Z. Sheng:
Correlation discovery in web of things. WWW (Companion Volume) 2013: 215-216 - 2012
- [j2]Lina Yao, Quan Z. Sheng, Zakaria Maamar:
Achieving High Availability of Web Services Based on A Particle Filtering Approach. Int. J. Next Gener. Comput. 3(2) (2012) - [j1]Hamdi Yahyaoui, Azzam Mourad, Mohammed Almulla, Lina Yao, Quan Z. Sheng:
A synergy between context-aware policies and AOP to achieve highly adaptable Web services. Serv. Oriented Comput. Appl. 6(4): 379-392 (2012) - [c6]Lina Yao, Quan Z. Sheng:
Exploiting latent relevance for relational learning of ubiquitous things. CIKM 2012: 1547-1551 - [c5]Lina Yao, Quan Z. Sheng:
A tag-centric discriminative model for web objects classification. CIKM 2012: 2247-2250 - [c4]Yanbo Wu, Quan Z. Sheng, Damith Chinthana Ranasinghe, Lina Yao:
PeerTrack: a platform for tracking and tracing objects in large-scale traceability networks. EDBT 2012: 586-589 - [c3]Zakaria Maamar, Noura Faci, Quan Z. Sheng, Lina Yao:
Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring. WISE 2012: 72-86 - 2011
- [c2]Lina Yao:
A Propagation Model for Integrating Web of Things and Social Networks. ICSOC Workshops 2011: 233-238 - [c1]Lina Yao, Quan Z. Sheng:
Particle Filtering Based Availability Prediction for Web Services. ICSOC 2011: 566-573
Coauthor Index
[j129] [j124] [j116] [c191] [i143] [i142] [i133] [j100] [j96] [c161] [i120] [i115] [i111] [i109] [j94] [j90] [j88] [c144] [i94] [j75] [j64] [c132] [i81] [i78] [i69] [j59] [j43] [i61] [i54] [j41] [j38] [j37] [j31] [j30] [c90] [c85] [i43] [j29] [j24] [j23] [j22] [j21] [j20] [j19] [c72] [c60] [c57] [i30] [i18] [j18] [j17] [j16] [j15] [j14] [c53] [c51] [c49] [c46] [c45] [c43] [p2] [p1] [e1] [i16] [i13] [i9] [i8] [j13] [j12] [j11] [j10] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i5] [i4] [j9] [j8] [j7] [j6] [j5] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i3] [i2] [i1] [j4] [j3] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c10] [c9] [c8] [c7] [j2] [j1] [c6] [c5] [c4] [c3] [c1]
[j129] [j125] [j122] [j118] [j117] [i133] [i126] [i125] [j111] [j109] [j107] [j100] [j97] [j96] [c176] [c163] [c158] [c157] [i105] [j94] [j90] [j88] [j85] [j84] [j83] [j82] [j78] [c156] [c155] [c154] [c153] [c152] [c151] [c148] [c142] [c140] [c139] [c138] [j73] [j71] [j64] [c137] [c135] [c134] [c131] [c128] [c127] [c125] [i82] [i79] [i78] [i77] [i76] [i73] [i71] [i69] [j60] [j59] [j58] [j56] [j54] [j53] [j52] [j51] [j44] [c116] [c115] [c114] [c112] [c111] [c108] [c106] [c105] [i66] [i64] [i63] [i60] [i59] [i57] [i56] [i54] [i53] [i52] [i49] [j38] [j30] [c102] [c101] [c100] [c98] [c97] [c90] [c85] [c81] [c80] [i45] [i43] [j29] [j25] [j23] [j22] [j20] [c71] [c65] [c64] [c63] [c57] [c56] [i34] [i28] [i27] [i26] [i25] [i24] [i20] [i17] [c54] [c53] [c51] [c49] [c48] [c46] [p2] [i16] [i13] [i8] [i6] [c40] [c39] [c35] [c34] [c27] [c26] [c23] [c20] [i2]
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aka: Wei Emma Zhang
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-12-03 21:20 CET by the dblp team
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