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2020 – today
- 2024
[j23]Yumin Shen, Hongyu Guo
:
"I feel AI is neither too good nor too bad": Unveiling Chinese EFL teachers' perceived emotions in generative AI-Mediated L2 classes. Comput. Hum. Behav. 161: 108429 (2024)- [j22]Hongyu Guo, Haozhe Liang, Ju Huang, Wei Ou, Wenbao Han, Qionglu Zhang, Ruizhi Zhang:
A framework for efficient cross-chain token transfers in blockchain networks. J. King Saud Univ. Comput. Inf. Sci. 36(2): 101968 (2024) - [j21]Hongyu Guo, Xiaoyan Jiang:
English teaching evaluation based on reinforcement learning in content centric data center network. Wirel. Networks 30(5): 4145-4155 (2024) - [c86]Hongyu Guo, Wenbo Shang, Xueyao Zhang, Binyang Li:
MUCH: A Multimodal Corpus Construction for Conversational Humor Recognition Based on Chinese Sitcom. LREC/COLING 2024: 11692-11698 - [c85]Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao:
Conversational Drug Editing Using Retrieval and Domain Feedback. ICLR 2024 - [c84]Gerui Lv, Qinghua Wu, Yanmei Liu, Zhenyu Li, Qingyue Tan, Furong Yang, Wentao Chen, Yunfei Ma, Hongyu Guo, Ying Chen, Gaogang Xie:
Chorus: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming. MobiCom 2024: 246-262 - [c83]Yuankang Zhao, Qinghua Wu, Gerui Lv, Furong Yang, Jiuhai Zhang, Feng Peng, Yanmei Liu, Zhenyu Li, Ying Chen, Hongyu Guo, Gaogang Xie:
JitBright: towards Low-Latency Mobile Cloud Rendering through Jitter Buffer Optimization. NOSSDAV 2024: 36-42 - [c82]Jiaxing Zhang, Furong Yang, Ting Liu, Qinghua Wu, Wu Zhao, Yuanbo Zhang, Wentao Chen, Yanmei Liu, Hongyu Guo, Yunfei Ma, Zhenyu Li:
TECC: Towards Efficient QUIC Tunneling via Collaborative Transmission Control. NSDI 2024: 253-266 - [c81]Hongyu Guo, Xueyao Zhang, Yiyang Chen, Lin Deng, Binyang Li:
UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations. SemEval@NAACL 2024: 770-776 - [i41]Stephen Obadinma, Xiaodan Zhu, Hongyu Guo:
Calibration Attack: A Framework For Adversarial Attacks Targeting Calibration. CoRR abs/2401.02718 (2024) - [i40]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C. Bhethanabotla, Nakul Rampal, Omar Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T. Chayes:
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics. CoRR abs/2401.15122 (2024) - [i39]Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu:
f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning. CoRR abs/2402.10150 (2024) - [i38]Shengchao Liu, Divin Yan, Weitao Du, Weiyang Liu, Zhuoxinran Li, Hongyu Guo, Christian Borgs, Jennifer T. Chayes, Anima Anandkumar:
Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design. CoRR abs/2409.10584 (2024) - [i37]Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang:
Structure Language Models for Protein Conformation Generation. CoRR abs/2410.18403 (2024) - 2023
- [j20]Ziqi Chen, Baoyi Zhang, Hongyu Guo, Prashant S. Emani, Trevor Clancy, Chongming Jiang, Mark Gerstein, Xia Ning, Chao Cheng, Martin Renqiang Min:
Binding peptide generation for MHC Class I proteins with deep reinforcement learning. Bioinform. 39(2) (2023) - [j19]Hongyu Guo, Jianing Zhou, Peng Liu, Hong Chen:
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging. Biomed. Signal Process. Control. 80(Part): 104383 (2023) - [j18]Yumin Shen, Hongyu Guo:
Research on high-performance English translation based on topic model. Digit. Commun. Networks 9(2): 505-511 (2023) - [j17]Yibing Ma, Hongyu Guo, Yuqi Sun, Fang Liu:
Real-time prediction algorithm and simulation of sports results based on internet of things and machine learning. Int. J. Inf. Technol. Manag. 22(3/4): 386-406 (2023) - [j16]Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao:
Information Bottleneck and Aggregated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14807-14820 (2023) - [j15]Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu:
f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c80]Hongyu Guo, Yongyi Mao:
Interpolating Graph Pair to Regularize Graph Classification. AAAI 2023: 7766-7774 - [c79]Haoyang Ma, Hongyu Guo:
A Hybrid Model Based on Multi-level External Knowledge for Chinese Semantic Matching. IEEE Big Data 2023: 1200-1205 - [c78]Qian Li, Xinyu Jiang, Jianwei Sun, Hongyu Guo, Yulong Liu, Zi Wang, Dan Liu:
A Service-Oriented Data Sharing and Exchange Model. DMBD (2) 2023: 202-212 - [c77]Haoyang Ma, Zeyu Li, Hongyu Guo:
A Contrastive Framework to Enhance Unsupervised Sentence Representation Learning. ICASSP 2023: 1-5 - [c76]Shengchao Liu, Hongyu Guo, Jian Tang:
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. ICLR 2023 - [c75]Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao:
Over-Training with Mixup May Hurt Generalization. ICLR 2023 - [c74]Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang:
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. ICML 2023: 21497-21526 - [c73]Hongyu Guo, Kun Xie, Mehdi Keyvan-Ekbatani:
On the identification of risky lane changes: 2D time-to-collision and connected vehicle data. MT-ITS 2023: 1-6 - [c72]Tianxiao Li, Hongyu Guo, Filippo Grazioli, Mark Gerstein, Martin Renqiang Min:
Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering. NeurIPS 2023 - [c71]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang:
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. NeurIPS 2023 - [c70]Ziqi Chen, Martin Renqiang Min, Hongyu Guo, Chao Cheng, Trevor Clancy, Xia Ning:
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy. RECOMB 2023: 174-191 - [c69]Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data. RepL4NLP@ACL 2023: 226-237 - [i36]Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar:
A Text-guided Protein Design Framework. CoRR abs/2302.04611 (2023) - [i35]Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao:
Over-training with Mixup May Hurt Generalization. CoRR abs/2303.01475 (2023) - [i34]Ziqi Chen, Martin Renqiang Min, Hongyu Guo, Chao Cheng, Trevor Clancy, Xia Ning:
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy. CoRR abs/2303.02162 (2023) - [i33]Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Effectiveness of Data Augmentation for Prefix Tuning with Limited Data. CoRR abs/2303.02577 (2023) - [i32]Hongyu Guo:
Wheat Head Counting by Estimating a Density Map with Convolutional Neural Networks. CoRR abs/2303.10542 (2023) - [i31]Fang Sun, Zhihao Zhan, Hongyu Guo, Ming Zhang, Jian Tang:
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow. CoRR abs/2304.12825 (2023) - [i30]Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao:
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback. CoRR abs/2305.18090 (2023) - [i29]Shengchao Liu, Weitao Du, Zhiming Ma, Hongyu Guo, Jian Tang:
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. CoRR abs/2305.18407 (2023) - [i28]Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhiming Ma, Omar Yaghi, Anima Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang:
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. CoRR abs/2306.09375 (2023) - 2022
- [j14]Jiarong Zhang, Jinsha Yuan, Hongyu Guo, Xinyu Zan:
Integrating deep learning with first order logic for solving kinematic problems. Appl. Intell. 52(10): 11808-11826 (2022) - [j13]Qing Ai, Hongyu Guo:
Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis. Int. J. Mob. Comput. Multim. Commun. 13(2): 1-14 (2022) - [j12]Yun Wan, Emem Blessing Akpan, Hongyu Guo:
The Cultural Influence of Control Sharing in Autonomous Driving. Int. J. Technoethics 13(1): 1-13 (2022) - [c68]Lirou Jiang, Hongyu Guo, Yuehong Hou:
Research on Production Enterprise Raw Material Ordering and Transportation. ICIEB 2022: 131-136 - [c67]Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang:
Pre-training Molecular Graph Representation with 3D Geometry. ICLR 2022 - [c66]Haoyang Ma, Hongyu Guo:
External Knowledge and Data Augmentation Enhanced Model for Chinese Short Text Matching. ICONIP (6) 2022: 76-87 - [c65]Haoyang Ma, Zeyu Li, Hongyu Guo:
Using Noise and External Knowledge to Enhance Chinese Pre-trained Model. ICTAI 2022: 476-480 - [c64]Haoyang Ma, Zhaoyun Ding, Zeyu Li, Hongyu Guo:
OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge. KSEM (1) 2022: 15-30 - [c63]Hongyu Guo, Mao Chen, Wei Ou:
A Lightweight NFT Auction Protocol for Cross-chain Environment. ML4CS (1) 2022: 133-146 - [i27]Hongyu Guo, Sun Sun:
SoftEdge: Regularizing Graph Classification with Random Soft Edges. CoRR abs/2204.10390 (2022) - [i26]Shengchao Liu, Hongyu Guo, Jian Tang:
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. CoRR abs/2206.13602 (2022) - [i25]Hongyu Guo, Kun Xie, Mehdi Keyvan-Ekbatani:
Modeling driver's evasive behavior during safety-critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning. CoRR abs/2209.15133 (2022) - 2021
- [b1]Hongyu Guo:
What Are Tensors Exactly? WorldScientific 2021, ISBN 9789811241017, pp. 1-248 - [j11]Wumaier Tuerxun, Xu Chang, Hongyu Guo, Zhijie Jin, Huajian Zhou:
Fault Diagnosis of Wind Turbines Based on a Support Vector Machine Optimized by the Sparrow Search Algorithm. IEEE Access 9: 69307-69315 (2021) - [c62]Stephen Obadinma, Hongyu Guo, Xiaodan Zhu:
Class-wise Calibration: A Case Study on COVID-19 Hate Speech. Canadian AI 2021 - [c61]Yun Wan, Emem Blessing Akpan, Hongyu Guo:
Robot or me: who gets the control? AMCIS 2021 - [c60]Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo:
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. ICML 2021: 904-913 - [c59]Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang:
Self-supervised Graph-level Representation Learning with Local and Global Structure. ICML 2021: 11548-11558 - [c58]Hongyu Guo, Kun Xie, Mehdi Keyvan-Ekbatani:
Lane Change Detection Using Naturalistic Driving Data. MT-ITS 2021: 1-6 - [c57]Hongyu Guo:
Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisions. ECML/PKDD (2) 2021: 184-199 - [c56]Sun Sun, Hongyu Guo:
Symmetric Wasserstein autoencoders. UAI 2021: 354-364 - [i24]Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang:
Self-supervised Graph-level Representation Learning with Local and Global Structure. CoRR abs/2106.04113 (2021) - [i23]Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo:
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. CoRR abs/2106.07801 (2021) - [i22]Sun Sun, Hongyu Guo:
Symmetric Wasserstein Autoencoders. CoRR abs/2106.13024 (2021) - [i21]Hongyu Guo:
Midpoint Regularization: from High Uncertainty Training to Conservative Classification. CoRR abs/2106.13913 (2021) - [i20]Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang:
Pre-training Molecular Graph Representation with 3D Geometry. CoRR abs/2110.07728 (2021) - [i19]Hongyu Guo, Yongyi Mao:
Intrusion-Free Graph Mixup. CoRR abs/2110.09344 (2021) - 2020
- [c55]Hongyu Guo:
Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification. AAAI 2020: 4044-4051 - [c54]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. AAAI 2020: 5810-5817 - [c53]Hongyu Guo, Mei Wang, Peng Liu, Chunsheng Li:
An Improved MRI Reconstruction Algorithm Combining Partial Fourier and Parallel Imaging. BIBE 2020: 24:1-24:6 - [c52]Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang:
A Graph to Graphs Framework for Retrosynthesis Prediction. ICML 2020: 8818-8827 - [c51]Hongyu Guo, Wutao Yin, Sakib Mostafa, Fang-Xiang Wu:
Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks. ISBRA 2020: 166-177 - [c50]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai:
Dynamic Graph Convolutional Networks for Entity Linking. WWW 2020: 1149-1159 - [i18]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. CoRR abs/2001.03955 (2020) - [i17]Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang:
A Graph to Graphs Framework for Retrosynthesis Prediction. CoRR abs/2003.12725 (2020) - [i16]Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang:
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. CoRR abs/2009.04413 (2020) - [i15]Hongyu Guo:
Regularization via Adaptive Pairwise Label Smoothing. CoRR abs/2012.01559 (2020)
2010 – 2019
- 2019
- [c49]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-of-Manifold Regularization. AAAI 2019: 3714-3722 - [c48]Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. EMNLP/IJCNLP (1) 2019: 326-336 - [c47]Xiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang:
Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval. IJCAI 2019: 2966-2972 - [c46]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai:
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. IJCAI 2019: 5264-5270 - [c45]Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah, Zhiyuan Hu, Yongyi Mao:
A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity. WWW 2019: 2929-2935 - [i14]Hongyu Guo, Yongyi Mao, Richong Zhang:
Augmenting Data with Mixup for Sentence Classification: An Empirical Study. CoRR abs/1905.08941 (2019) - [i13]Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang:
MixUp as Directional Adversarial Training. CoRR abs/1906.06875 (2019) - [i12]Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. CoRR abs/1909.05448 (2019) - [i11]Hongyu Guo, Khalique Newaz, Scott J. Emrich, Tijana Milenkovic, Jun Li:
Weighted graphlets and deep neural networks for protein structure classification. CoRR abs/1910.02594 (2019) - 2018
- [c44]Richong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao:
Syntax Encoding with Application in Authorship Attribution. EMNLP 2018: 2742-2753 - [c43]Martin Renqiang Min, Hongyu Guo, Dinghan Shen:
Parametric t-Distributed Stochastic Exemplar-Centered Embedding. ECML/PKDD (1) 2018: 477-493 - [i10]Hongyu Guo, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks. CoRR abs/1807.10251 (2018) - [i9]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-Of-Manifold Regularization. CoRR abs/1809.02499 (2018) - 2017
- [j10]Hongyu Guo, Amjad Nusayr, Wen-Chen Hu:
Analysis and Resolution of Semantic Ambiguity of Toggle Buttons by Standardizing the Design in Software GUI and Mobile Apps. IJHCR 8(2): 1-18 (2017) - [c42]Hongyu Guo:
A Deep Network with Visual Text Composition Behavior. ACL (2) 2017: 372-377 - [c41]Xingye Zhou, Xin Tan, Yuanjie Lv, Yuangang Wang, Xubo Song, Guodong Gu, Peng Xu, Hongyu Guo, Zhihong Feng, Shujun Cai:
Dynamic characteristics and related trapping effects of GaN-based Fin-MISHEMTs. ASICON 2017: 584-587 - [c40]Martin Renqiang Min, Hongyu Guo, Dongjin Song:
Exemplar-centered Supervised Shallow Parametric Data Embedding. IJCAI 2017: 2479-2485 - [i8]Martin Renqiang Min, Hongyu Guo, Dongjin Song:
Exemplar-Centered Supervised Shallow Parametric Data Embedding. CoRR abs/1702.06602 (2017) - [i7]Hongyu Guo, Colin Cherry, Jiang Su:
End-to-End Multi-View Networks for Text Classification. CoRR abs/1704.05907 (2017) - [i6]Hongyu Guo:
A Deep Network with Visual Text Composition Behavior. CoRR abs/1707.01555 (2017) - [i5]Martin Renqiang Min, Hongyu Guo, Dinghan Shen:
Parametric t-Distributed Stochastic Exemplar-centered Embedding. CoRR abs/1710.05128 (2017) - 2016
- [j9]Mingrong Ren, Kai Pan, Yanhong Liu, Hongyu Guo, Xiaodong Zhang, Pu Wang:
A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System. Sensors 16(1): 139 (2016) - [c39]Hongyu Guo:
Accelerated Continuous Conditional Random Fields for load forecasting. ICDE 2016: 1492-1493 - [c38]Haiyang Yu, Yawen Hu, Hongyu Guo, Lin Fang:
Tunnel moving target detection based on local structure of image and gray scale information. ICITE 2016: 103-107 - [c37]Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
DAG-Structured Long Short-Term Memory for Semantic Compositionality. HLT-NAACL 2016: 917-926 - [i4]Martin Renqiang Min, Hongyu Guo, Dongjin Song:
A Shallow High-Order Parametric Approach to Data Visualization and Compression. CoRR abs/1608.04689 (2016) - 2015
- [j8]Sijia Liu, Jiuchun Jiang, Wei Shi, Zeyu Ma, Le Yi Wang, Hongyu Guo:
Butler-Volmer-Equation-Based Electrical Model for High-Power Lithium Titanate Batteries Used in Electric Vehicles. IEEE Trans. Ind. Electron. 62(12): 7557-7568 (2015) - [j7]Hongyu Guo:
Accelerated Continuous Conditional Random Fields For Load Forecasting. IEEE Trans. Knowl. Data Eng. 27(8): 2023-2033 (2015) - [c36]Boxing Chen, Hongyu Guo:
Representation Based Translation Evaluation Metrics. ACL (2) 2015: 150-155 - [c35]Colin Cherry, Hongyu Guo, Chengbi Dai:
NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter. NUT@IJCNLP 2015: 54-60 - [c34]Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
Long Short-Term Memory Over Recursive Structures. ICML 2015: 1604-1612 - [c33]Chunsheng Yang, Qingfeng Lou, Jie Liu, Hongyu Guo, Yun Bai:
Particle Filter-Based Approach to Estimate Remaining Useful Life for Predictive Maintenance. IEA/AIE 2015: 692-701 - [c32]Colin Cherry, Hongyu Guo:
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition. HLT-NAACL 2015: 735-745 - [c31]Xiaodan Zhu, Hongyu Guo, Parinaz Sobhani:
Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition. *SEM@NAACL-HLT 2015: 1-9 - [c30]Boxing Chen, Hongyu Guo, Roland Kuhn:
Multi-level Evaluation for Machine Translation. WMT@EMNLP 2015: 361-365 - [i3]Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
Long Short-Term Memory Over Tree Structures. CoRR abs/1503.04881 (2015) - [i2]Hongyu Guo, Xiaodan Zhu, Martin Renqiang Min:
A Deep Learning Model for Structured Outputs with High-order Interaction. CoRR abs/1504.08022 (2015) - [i1]Hongyu Guo:
Generating Text with Deep Reinforcement Learning. CoRR abs/1510.09202 (2015) - 2014
- [c29]Xiaodan Zhu, Hongyu Guo, Saif M. Mohammad, Svetlana Kiritchenko:
An Empirical Study on the Effect of Negation Words on Sentiment. ACL (1) 2014: 304-313 - [c28]Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz, Hongyu Guo:
A multi-view two-level classification method for generalized multi-instance problems. IEEE BigData 2014: 104-111 - [c27]Jun Wang, Hongyu Guo:
A Real Options Pricing Framework for Valuation of Security Professionals. CSO 2014: 514-518 - [c26]Chunsheng Yang, Sylvain Létourneau, Hongyu Guo:
Developing Data-driven Models to Predict BEMS Energy Consumption for Demand Response Systems. IEA/AIE (1) 2014: 188-197 - [c25]Hongyu Guo, Sylvain Létourneau, Chunsheng Yang:
A Data Driven Approach for Smart Lighting. IEA/AIE (2) 2014: 308-317 - 2013
- [j6]Hongyu Guo, Sylvain Létourneau:
Iterative classification for multiple target attributes. J. Intell. Inf. Syst. 40(2): 283-305 (2013) - [j5]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Reducing the size of databases for multirelational classification: a subgraph-based approach. J. Intell. Inf. Syst. 40(2): 349-374 (2013) - [c24]Yuntao Jiao, Jun Wang, Hongyu Guo:
Evaluation Professional Ethics of Network Business. BIFE 2013: 392-396 - [c23]Hongyu Guo:
Modeling Short-Term Energy Load with Continuous Conditional Random Fields. ECML/PKDD (1) 2013: 433-448 - 2012
- [c22]JiaXiang Zheng, Jun Wan, YunFei Ren, Hongyu Guo:
A Jump-diffusion Approach to Modelling Software Security Investment. BIFE 2012: 274-278 - [c21]Jun Wan, Bin Ding, YunFei Ren, JiaXiang Zheng, Hongyu Guo:
Valuing Information Security Investment: A Real Options Approach. BIFE 2012: 279-284 - [c20]Hongyu Guo, Dongmei Huang, Xiaoqun Zhao:
An algorithm for spoken keyword spotting via subsequence DTW. IC-NIDC 2012: 573-576 - [c19]Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo:
Transductive Relational Classification in the Co-training Paradigm. MLDM 2012: 11-25 - [c18]Eric Paquet, Herna Lydia Viktor, Hongyu Guo:
Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation. NFMCP 2012: 49-63 - 2011
- [j4]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Privacy Disclosure and Preservation in Learning with Multi-Relational Databases. J. Comput. Sci. Eng. 5(3): 183-196 (2011) - [c17]Pengcheng Xi, Hongyu Guo, Chang Shu:
Human Body Shape Prediction and Analysis Using Predictive Clustering Tree. 3DIMPVT 2011: 196-203 - [c16]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Privacy leakage in multi-relational learning via unwanted classification models. CASCON 2011: 45-59 - [c15]Eric Paquet, Herna L. Viktor, Hongyu Guo:
To Aggregate or Not to Aggregate: That is the Question. KDIR 2011: 354-357 - 2010
- [c14]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Identifying and Preventing Data Leakage in Multi-relational Classification. ICDM Workshops 2010: 458-465
2000 – 2009
- 2009
- [c13]Xiaomin Pei, Hongyu Guo, Jianping Dai:
A Novel Lung Segmentation and Boundary Correction Method. BMEI 2009: 1-4 - [c12]Ping Yang, Hongyu Guo, Yanfa He:
Combining Explicitly Mask Image with Voxel-Based Morphometry for Improving 0.35T Functional MRI Data Analysis. ICIG 2009: 712-715 - 2008
- [j3]Hongyu Guo, Herna L. Viktor:
Learning from Skewed Class Multi-relational Databases. Fundam. Informaticae 89(1): 69-94 (2008) - [j2]Hongyu Guo, Herna L. Viktor:
Multirelational classification: a multiple view approach. Knowl. Inf. Syst. 17(3): 287-312 (2008) - [c11]Longzhuang Li, John Fernandez, Hongyu Guo:
A Framework for Query Capabilities and Interface Design of Mediators on the Gulf of Mexico Data Sources. APWeb 2008: 660-671 - 2007
- [c10]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Pruning Relations for Substructure Discovery of Multi-relational Databases. PKDD 2007: 462-470 - 2006
- [c9]Hongyu Guo, Herna L. Viktor:
Multi-view ANNs for Multi-relational Classification. IJCNN 2006: 5259-5266 - [c8]Mark Whitbeck, Hongyu Guo:
Multiple Landmark Warping Using Thin-plate Splines. IPCV 2006: 256-263 - [c7]Hongyu Guo, Herna L. Viktor:
Mining relational data through correlation-based multiple view validation. KDD 2006: 567-573 - [c6]Herna L. Viktor, Eric Paquet, Hongyu Guo:
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification. PKDD 2006: 395-406 - 2005
- [c5]Hongyu Guo, Anand Rangarajan, Sarang C. Joshi:
3-D Diffeomorphic Shape Registration on Hippocampal Data Sets. MICCAI (2) 2005: 984-991 - 2004
- [j1]Hongyu Guo, Herna L. Viktor:
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach. SIGKDD Explor. 6(1): 30-39 (2004) - [c4]Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Laurent Younes:
A New Joint Clustering and Diffeomorphism Estimation Algorithm for Non-Rigid Shape Matching. CVPR Workshops 2004: 16-22 - [c3]Hongyu Guo, Herna L. Viktor:
Boosting with Data Generation: Improving the Classification of Hard to Learn Examples. IEA/AIE 2004: 1082-1091 - [c2]Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Laurent Younes:
Non-Rigid Registration of Shapes Via Diffeomorphic Point Matching. ISBI 2004: 924-927 - [c1]Herna L. Viktor, Hongyu Guo:
Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. SSPR/SPR 2004: 974-982
Coauthor Index
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