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2020 – today
- 2024
[j120]Chenyu Lu
, Jun Yin, Hao Yang, Shiliang Sun:
Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction. Inf. Fusion 107: 102302 (2024)- [j119]Kaitao Chen, Shiliang Sun, Youtian Du:
Deconfounded multi-organ weakly-supervised semantic segmentation via causal intervention. Inf. Fusion 108: 102355 (2024) - [j118]Zhenbo Huang, Shiliang Sun, Jing Zhao:
Reward-free offline reinforcement learning: Optimizing behavior policy via action exploration. Knowl. Based Syst. 299: 112018 (2024) - [j117]Junxin Lu, Shiliang Sun:
PAMK: Prototype Augmented Multi-Teacher Knowledge Transfer Network for Continual Zero-Shot Learning. IEEE Trans. Image Process. 33: 3353-3368 (2024) - [j116]Jing Zhao, Zengyu Qiu, Huiqin Hu, Shiliang Sun:
HWLane: HW-Transformer for Lane Detection. IEEE Trans. Intell. Transp. Syst. 25(8): 9321-9331 (2024) - [j115]Nan Zhang, Xiaoqin Zhang, Shiliang Sun:
Efficient Multiview Representation Learning With Correntropy and Anchor Graph. IEEE Trans. Knowl. Data Eng. 36(9): 4632-4645 (2024) - [j114]Lin Wang, Shiliang Sun, Jing Zhao:
VirPNet: A Multimodal Virtual Point Generation Network for 3D Object Detection. IEEE Trans. Multim. 26: 10597-10609 (2024) - [j113]Shiliang Sun, Nan Zhang:
Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4017-4031 (2024) - [c126]Kaitao Chen, Shiliang Sun, Jing Zhao:
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification. AAAI 2024: 1120-1128 - [c125]Jun Yin, Shiliang Sun, Lai Wei, Pei Wang:
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. AAAI 2024: 16478-16485 - [c124]Junxin Lu, Shiliang Sun:
CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series. ICML 2024 - 2023
- [j112]Wenbo Dong, Shiliang Sun, Minzhi Yin:
A multi-view deep learning model for pathology image diagnosis. Appl. Intell. 53(6): 7186-7200 (2023) - [j111]Shiliang Sun, Jing Zhao, Minghao Gu, Shanhu Wang:
Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling. Entropy 25(4): 560 (2023) - [j110]Chaoyue Ding, Shiliang Sun, Jing Zhao:
MST-GAT: A multimodal spatial-temporal graph attention network for time series anomaly detection. Inf. Fusion 89: 527-536 (2023) - [j109]Xijiong Xie, Yanfeng Li, Shiliang Sun:
Deep multi-view multiclass twin support vector machines. Inf. Fusion 91: 80-92 (2023) - [j108]Zhenbo Huang, Shiliang Sun, Jing Zhao, Liang Mao:
Multi-modal policy fusion for end-to-end autonomous driving. Inf. Fusion 98: 101834 (2023) - [j107]Jun Yin, Haowei Wu, Shiliang Sun:
Effective sample pairs based contrastive learning for clustering. Inf. Fusion 99: 101899 (2023) - [j106]Wenbo Dong, Shiliang Sun, Jing Zhao, Nan Zhang:
Knowledge graph relation reasoning with variational reinforcement network. Inf. Fusion 100: 101900 (2023) - [j105]Wenbo Dong, Shaofan Liu, Shiliang Sun:
Safe batch constrained deep reinforcement learning with generative adversarial network. Inf. Sci. 634: 259-270 (2023) - [j104]Shiliang Sun, Jingjing Fei, Jing Zhao, Liang Mao:
Multi-view Collaborative Gaussian Process Dynamical Systems. J. Mach. Learn. Res. 24: 258:1-258:32 (2023) - [j103]Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun:
Editorial: Special Issue on Transfer Learning. Neural Process. Lett. 55(3): 1997-2000 (2023) - [j102]Shaofan Liu, Shiliang Sun, Jing Zhao:
Fair Transfer Learning with Factor Variational Auto-Encoder. Neural Process. Lett. 55(3): 2049-2061 (2023) - [j101]Chaoyue Ding, Jing Zhao, Shiliang Sun:
Concept Drift Adaptation for Time Series Anomaly Detection via Transformer. Neural Process. Lett. 55(3): 2081-2101 (2023) - [j100]Nan Zhang, Shiliang Sun:
Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4981-4996 (2023) - [j99]Wenbo Dong, Shiliang Sun:
Multi-View Deep Gaussian Processes for Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15137-15153 (2023) - [j98]Jun Yin, Shiliang Sun:
Incomplete Multi-View Clustering With Reconstructed Views. IEEE Trans. Knowl. Data Eng. 35(3): 2671-2682 (2023) - [j97]Daoming Zong, Shiliang Sun:
BGNN-XML: Bilateral Graph Neural Networks for Extreme Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 35(7): 6698-6709 (2023) - [c123]Daoming Zong, Shiliang Sun:
McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning. AAAI 2023: 6621-6629 - [c122]Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. AAAI 2023: 7193-7201 - [c121]Keyu Chen, Shiliang Sun:
CP-Rec: Contextual Prompting for Conversational Recommender Systems. AAAI 2023: 12635-12643 - [c120]Shanhu Wang, Jing Zhao, Shiliang Sun:
Effective Domain Adaptation for Robust Dysarthric Speech Recognition. ICONIP (10) 2023: 62-73 - [i20]Chaoyue Ding, Shiliang Sun, Jing Zhao:
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection. CoRR abs/2310.11169 (2023) - 2022
- [j96]Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun:
Editorial: special issue on multi-view learning. Appl. Intell. 52(13): 14591-14594 (2022) - [j95]Mengran Yu, Shiliang Sun:
FE-DaST: Fast and effective data-free substitute training for black-box adversarial attacks. Comput. Secur. 113: 102555 (2022) - [j94]Shaofan Liu, Shiliang Sun:
Adversarially Training MCMC with Non-Volume-Preserving Flows. Entropy 24(3): 415 (2022) - [j93]Jun Yin, Runcheng Cai, Shiliang Sun:
Anchor-based incomplete multi-view spectral clustering. Neurocomputing 514: 526-538 (2022) - [j92]Shiliang Sun, Mengran Yu, John Shawe-Taylor, Liang Mao:
Stability-based PAC-Bayes analysis for multi-view learning algorithms. Inf. Fusion 86-87: 76-92 (2022) - [j91]Jing Zhao, Zengyu Qiu, Shiliang Sun:
Multi-view multi-label active learning with conditional Bernoulli mixtures. Int. J. Mach. Learn. Cybern. 13(6): 1589-1601 (2022) - [j90]Jun Yin, Shiliang Sun:
Incomplete multi-view clustering with cosine similarity. Pattern Recognit. 123: 108371 (2022) - [j89]Nan Zhang, Shiliang Sun:
Incomplete multiview nonnegative representation learning with multiple graphs. Pattern Recognit. 123: 108412 (2022) - [j88]Nan Zhang, Shiliang Sun:
Multiview Graph Restricted Boltzmann Machines. IEEE Trans. Cybern. 52(11): 12414-12428 (2022) - [j87]Zengyu Qiu, Jing Zhao, Shiliang Sun:
MFIALane: Multiscale Feature Information Aggregator Network for Lane Detection. IEEE Trans. Intell. Transp. Syst. 23(12): 24263-24275 (2022) - [j86]Shiliang Sun, Ziang Dong, Jing Zhao:
Conditional Random Fields for Multiview Sequential Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1242-1253 (2022) - [c119]Mengran Yu, Shiliang Sun:
Natural Black-Box Adversarial Examples against Deep Reinforcement Learning. AAAI 2022: 8936-8944 - [c118]Yujia Li, Shiliang Sun, Jing Zhao:
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning. IJCAI 2022: 2152-2158 - [c117]Tao Hu, Shiliang Sun, Jing Zhao, Dongyu Shi:
Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation. IJCAI 2022: 3071-3077 - [c116]Chaoyue Ding, Shiliang Sun, Jing Zhao:
Multi-Modal Adversarial Example Detection with Transformer. IJCNN 2022: 1-7 - [c115]Tao Zhang, Shiliang Sun, Jing Zhao:
Robust Cross-Modal Retrieval by Adversarial Training. IJCNN 2022: 1-8 - [c114]Yi Zhang, Jing Zhao, Shiliang Sun:
Diverse Machine Translation with Translation Memory. IJCNN 2022: 1-8 - [c113]Shaofan Liu, Shiliang Sun:
Safe Offline Reinforcement Learning Through Hierarchical Policies. PAKDD (2) 2022: 380-391 - 2021
- [j85]Xuli Sun, Shiliang Sun:
Adversarial robustness and attacks for multi-view deep models. Eng. Appl. Artif. Intell. 97: 104085 (2021) - [j84]Jing Zhao, Yi Zhang, Shiliang Sun, Haiwei Dai:
Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition. Entropy 23(10): 1290 (2021) - [j83]Xiao Liu, Shiliang Sun:
Alpha-divergence minimization with mixed variational posterior for Bayesian neural networks and its robustness against adversarial examples. Neurocomputing 423: 427-434 (2021) - [j82]Xiao Liu, Jing Zhao, Shiliang Sun, Huawen Liu, Hao Yang:
Variational multimodal machine translation with underlying semantic alignment. Inf. Fusion 69: 73-80 (2021) - [j81]Shiliang Sun, Xuli Sun, Qiuyang Liu:
Multi-view Gaussian processes with posterior consistency. Inf. Sci. 547: 710-722 (2021) - [j80]Yueyue Hu, Shiliang Sun:
RL-VAEGAN: Adversarial defense for reinforcement learning agents via style transfer. Knowl. Based Syst. 221: 106967 (2021) - [j79]Zehui Cao, Jing Zhao, Shiliang Sun:
Stick-Breaking Dependent Beta Processes with Variational Inference. Neural Process. Lett. 53(1): 339-353 (2021) - [j78]Shiliang Sun, Daoming Zong:
LCBM: A Multi-View Probabilistic Model for Multi-Label Classification. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2682-2696 (2021) - [j77]Shiliang Sun, Wenbo Dong, Qiuyang Liu:
Multi-View Representation Learning With Deep Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4453-4468 (2021) - [j76]Guoqing Chao, Shiliang Sun, Jinbo Bi:
A Survey on Multiview Clustering. IEEE Trans. Artif. Intell. 2(2): 146-168 (2021) - [j75]Yuhan Liu, Minzhi Yin, Shiliang Sun:
DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors. IEEE Trans. Medical Imaging 40(1): 395-404 (2021) - [j74]Liang Mao, Shiliang Sun:
Multiview Variational Sparse Gaussian Processes. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2875-2885 (2021) - [j73]Jiahang Liu, Zhenhua Huang, Xin Xu, Xinglong Zhang, Shiliang Sun, Dazi Li:
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 6962-6975 (2021) - [c112]Daoming Zong, Shiliang Sun, Jing Zhao:
ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion. AAAI 2021: 3625-3632 - [c111]Lidan Wu, Daoming Zong, Shiliang Sun, Jing Zhao:
A Sequential Contrastive Learning Framework for Robust Dysarthric Speech Recognition. ICASSP 2021: 7303-7307 - [c110]Chaoyue Ding, Shiliang Sun, Jing Zhao:
Multi-Task Transformer with Input Feature Reconstruction for Dysarthric Speech Recognition. ICASSP 2021: 7318-7322 - [c109]Ping Huang, Shiliang Sun, Hao Yang:
Image-Assisted Transformer in Zero-Resource Multi-Modal Translation. ICASSP 2021: 7548-7552 - [c108]Yuhan Liu, Shiliang Sun:
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis. ICML 2021: 6947-6956 - [c107]Shiqi Guo, Jing Zhao, Shiliang Sun:
Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss. IJCNN 2021: 1-8 - [c106]Xuli Sun, Shiliang Sun:
Multi-view Defense with Adversarial Autoencoders. IJCNN 2021: 1-7 - [c105]Keyu Chen, Shiliang Sun:
Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning. IJCKG 2021: 10-18 - 2020
- [j72]Minghao Gu, Shiliang Sun:
Neural Langevin Dynamical Sampling. IEEE Access 8: 31595-31605 (2020) - [j71]Mengran Yu, Shiliang Sun:
Policy-based reinforcement learning for time series anomaly detection. Eng. Appl. Artif. Intell. 95: 103919 (2020) - [j70]Minghao Gu, Jingjing Fei, Shiliang Sun:
Online anomaly detection with sparse Gaussian processes. Neurocomputing 403: 383-399 (2020) - [j69]Jing Zhao, Xiao Liu, Shaojie He, Shiliang Sun:
Probabilistic inference of Bayesian neural networks with generalized expectation propagation. Neurocomputing 412: 392-398 (2020) - [j68]Xijiong Xie, Shiliang Sun:
General multi-view semi-supervised least squares support vector machines with multi-manifold regularization. Inf. Fusion 62: 63-72 (2020) - [j67]Jing Zhao, Shiliang Sun, Huijuan Wang, Zehui Cao:
Promoting active learning with mixtures of Gaussian processes. Knowl. Based Syst. 188 (2020) - [j66]Xuli Sun, Shiliang Sun, Minzhi Yin, Hao Yang:
Hybrid neural conditional random fields for multi-view sequence labeling. Knowl. Based Syst. 189 (2020) - [j65]Shiliang Sun, Jiachun Wang:
Multiview learning with variational mixtures of Gaussian processes. Knowl. Based Syst. 200: 105990 (2020) - [j64]Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao:
Attentive multi-view reinforcement learning. Int. J. Mach. Learn. Cybern. 11(11): 2461-2474 (2020) - [j63]Jiachun Wang, Shiliang Sun:
Decomposed slice sampling for factorized distributions. Pattern Recognit. 97 (2020) - [j62]Shiliang Sun, Zehui Cao, Han Zhu, Jing Zhao:
A Survey of Optimization Methods From a Machine Learning Perspective. IEEE Trans. Cybern. 50(8): 3668-3681 (2020) - [j61]Xijiong Xie, Shiliang Sun:
Multi-View Support Vector Machines with the Consensus and Complementarity Information. IEEE Trans. Knowl. Data Eng. 32(12): 2401-2413 (2020) - [j60]Jun Yin, Shiliang Sun:
Multiview Uncorrelated Locality Preserving Projection. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3442-3455 (2020) - [c104]Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao:
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract). AAAI 2020: 13811-13812 - [c103]Xiao Liu, Jing Zhao, Shiliang Sun:
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract). AAAI 2020: 13867-13868 - [c102]Minghan Wang, Hao Yang, Ying Qin, Shiliang Sun, Yao Deng:
Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning. EAMT 2020: 53-59 - [c101]Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao:
Semismooth Newton Algorithm for Efficient Projections onto ℓ1, ∞-norm Ball. ICML 2020: 1974-1983 - [c100]Han Zhu, Jing Zhao, Shiliang Sun:
Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique. PAKDD (2) 2020: 299-311 - [c99]Lizhi Lei, Minghan Wang, Hao Yang, Shiliang Sun, Ying Qin, Daimeng Wei:
System Report of HW-TSC on the CAPITEL NER Evaluation. IberLEF@SEPLN 2020: 60-63 - [c98]Daimeng Wei, Hengchao Shang, Zhanglin Wu, Zhengzhe Yu, Liangyou Li, Jiaxin Guo, Minghan Wang, Hao Yang, Lizhi Lei, Ying Qin, Shiliang Sun:
HW-TSC's Participation in the WMT 2020 News Translation Shared Task. WMT@EMNLP 2020: 293-299 - [c97]Hao Yang, Minghan Wang, Daimeng Wei, Hengchao Shang, Jiaxin Guo, Zongyao Li, Lizhi Lei, Ying Qin, Shimin Tao, Shiliang Sun, Yimeng Chen:
HW-TSC's Participation at WMT 2020 Automatic Post Editing Shared Task. WMT@EMNLP 2020: 797-802 - [c96]Minghan Wang, Hao Yang, Hengchao Shang, Daimeng Wei, Jiaxin Guo, Lizhi Lei, Ying Qin, Shimin Tao, Shiliang Sun, Yimeng Chen, Liangyou Li:
HW-TSC's Participation at WMT 2020 Quality Estimation Shared Task. WMT@EMNLP 2020: 1056-1061 - [i19]Xuli Sun, Shiliang Sun:
Adversarial Attacks for Multi-view Deep Models. CoRR abs/2006.11004 (2020) - [i18]Yang Zhou, Shiliang Sun:
Manifold Partition Discriminant Analysis. CoRR abs/2011.11521 (2020) - [i17]Daoming Zong, Shiliang Sun:
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification. CoRR abs/2012.05860 (2020)
2010 – 2019
- 2019
- [b1]Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu:
Multiview Machine Learning. Springer 2019, ISBN 978-981-13-3028-5, pp. 1-149 - [j59]Minghao Gu, Shiliang Sun, Yan Liu:
Dynamical Sampling with Langevin Normalization Flows. Entropy 21(11): 1096 (2019) - [j58]Xijiong Xie, Shiliang Sun:
General multi-view learning with maximum entropy discrimination. Neurocomputing 332: 184-192 (2019) - [j57]Shiliang Sun, Shaojie He:
Generalizing expectation propagation with mixtures of exponential family distributions and an application to Bayesian logistic regression. Neurocomputing 337: 180-190 (2019) - [j56]Guoqing Chao, Shiliang Sun:
Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization. Inf. Fusion 45: 296-306 (2019) - [j55]Shiliang Sun, Yuhan Liu, Liang Mao:
Multi-view learning for visual violence recognition with maximum entropy discrimination and deep features. Inf. Fusion 50: 43-53 (2019) - [j54]Ping Huang, Xijiong Xie, Shiliang Sun:
Multi-view Opinion Mining with Deep Learning. Neural Process. Lett. 50(2): 1451-1463 (2019) - [j53]Shiliang Sun, Xijiong Xie, Chao Dong:
Multiview Learning With Generalized Eigenvalue Proximal Support Vector Machines. IEEE Trans. Cybern. 49(2): 688-697 (2019) - [j52]Zhaohong Deng, Jie Lu, Dongrui Wu, Kup-Sze Choi, Shiliang Sun, Yusuke Nojima:
Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 357-359 (2019) - [j51]Daqing Chang, Shiliang Sun, Changshui Zhang:
An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3338-3346 (2019) - [c95]Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan:
Joint Type Inference on Entities and Relations via Graph Convolutional Networks. ACL (1) 2019: 1361-1370 - [c94]Ziang Dong, Jing Zhao, Shiliang Sun:
A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling. ICONIP (5) 2019: 698-706 - [i16]Jingjing Fei, Shiliang Sun:
Online Anomaly Detection with Sparse Gaussian Processes. CoRR abs/1905.05761 (2019) - [i15]Minghao Gu, Shiliang Sun:
Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling. CoRR abs/1906.00229 (2019) - [i14]Jing Zhao, Jingjing Fei, Shiliang Sun:
A Variant of Gaussian Process Dynamical Systems. CoRR abs/1906.03647 (2019) - [i13]Shiliang Sun, Zehui Cao, Han Zhu, Jing Zhao:
A Survey of Optimization Methods from a Machine Learning Perspective. CoRR abs/1906.06821 (2019) - [i12]Ziang Dong, Liang Mao, Shiliang Sun:
Adversarial Attack with Pattern Replacement. CoRR abs/1911.10875 (2019) - 2018
- [j50]Xijiong Xie, Shiliang Sun, Huahui Chen, Jiangbo Qian:
Domain Adaptation with Twin Support Vector Machines. Neural Process. Lett. 48(2): 1213-1226 (2018) - [c93]Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, Kewen Wu:
Extracting Entities and Relations with Joint Minimum Risk Training. EMNLP 2018: 2256-2265 - [c92]Shiliang Sun, Qiuyang Liu:
Multi-view Deep Gaussian Processes. ICONIP (1) 2018: 130-139 - [c91]Jiachun Wang, Jing Zhao, Shiliang Sun, Dongyu Shi:
Intelligent Educational Data Analysis with Gaussian Processes. ICONIP (6) 2018: 353-362 - [c90]Jingjing Fei, Jing Zhao, Shiliang Sun, Yan Liu:
Active Learning Methods with Deep Gaussian Processes. ICONIP (3) 2018: 473-483 - [c89]Omar Rivasplata, Csaba Szepesvári, John Shawe-Taylor, Emilio Parrado-Hernández, Shiliang Sun:
PAC-Bayes bounds for stable algorithms with instance-dependent priors. NeurIPS 2018: 9234-9244 - [c88]Yuhan Liu, Minzhi Yin, Shiliang Sun:
Multi-view Learning and Deep Learning for Microscopic Neuroblastoma Pathology Image Diagnosis. PRICAI (1) 2018: 545-558 - [c87]Junyu Chen, Shiliang Sun, Jing Zhao:
Multi-label Active Learning with Conditional Bernoulli Mixtures. PRICAI (1) 2018: 954-967 - [i11]Shiliang Sun, Rongqing Huang, Ya Gao:
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks. CoRR abs/1801.00711 (2018) - [i10]Omar Rivasplata, Emilio Parrado-Hernández, John Shawe-Taylor, Shiliang Sun, Csaba Szepesvári:
PAC-Bayes bounds for stable algorithms with instance-dependent priors. CoRR abs/1806.06827 (2018) - 2017
- [j49]Xijiong Xie, Shiliang Sun:
PAC-Bayes bounds for twin support vector machines. Neurocomputing 234: 137-143 (2017) - [j48]Shiliang Sun, John Shawe-Taylor, Liang Mao:
PAC-Bayes analysis of multi-view learning. Inf. Fusion 35: 117-131 (2017) - [j47]Shiliang Sun, Chen Luo, Junyu Chen:
A review of natural language processing techniques for opinion mining systems. Inf. Fusion 36: 10-25 (2017) - [j46]Jing Zhao, Xijiong Xie, Xin Xu, Shiliang Sun:
Multi-view learning overview: Recent progress and new challenges. Inf. Fusion 38: 43-54 (2017) - [j45]Yang Zhou, Shiliang Sun:
Manifold Partition Discriminant Analysis. IEEE Trans. Cybern. 47(4): 830-840 (2017) - [j44]Huawen Liu, Lin Liu, Thuc Duy Le, Ivan Lee, Shiliang Sun, Jiuyong Li:
Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction. IEEE Trans. Multim. 19(8): 1848-1859 (2017) - [j43]Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang:
Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 28(1): 2-7 (2017) - [c86]Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang:
Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network. EACL (1) 2017: 1033-1043 - [c85]Chen Luo, Shiliang Sun, Jing Zhao:
Variational hidden conditional random fields with beta processes. ICNC-FSKD 2017: 1887-1893 - [c84]Huijuan Wang, Jing Zhao, Zeheng Tang, Shiliang Sun:
Educational and Non-educational Text Classification Based on Deep Gaussian Processes. ICONIP (1) 2017: 415-423 - [c83]Chen Luo, Shiliang Sun:
Variational Mixtures of Gaussian Processes for Classification. IJCAI 2017: 4603-4609 - [c82]Qiuyang Liu, Shiliang Sun:
Sparse Multimodal Gaussian Processes. IScIDE 2017: 28-40 - [c81]Shiliang Sun, John W. Paisley, Qiuyang Liu:
Location Dependent Dirichlet Processes. IScIDE 2017: 64-76 - [c80]Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang, Xuanjing Huang:
A Learning Error Analysis for Structured Prediction with Approximate Inference. NIPS 2017: 6129-6139 - [c79]Qiuyang Liu, Shiliang Sun:
Multi-view Regularized Gaussian Processes. PAKDD (2) 2017: 655-667 - [i9]Shiliang Sun, John W. Paisley, Qiuyang Liu:
Location Dependent Dirichlet Processes. CoRR abs/1707.00260 (2017) - [i8]Guoqing Chao, Shiliang Sun, Jinbo Bi:
A Survey on Multi-View Clustering. CoRR abs/1712.06246 (2017) - [i7]Feng Jin, Shiliang Sun:
Neural Network Multitask Learning for Traffic Flow Forecasting. CoRR abs/1712.08862 (2017) - [i6]Shiliang Sun, Changshui Zhang, Yi Zhang:
Traffic Flow Forecasting Using a Spatio-Temporal Bayesian Network Predictor. CoRR abs/1712.08883 (2017) - [i5]Qingjiu Zhang, Shiliang Sun:
Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification. CoRR abs/1712.08885 (2017) - [i4]Rongqing Huang, Shiliang Sun:
Kernel Regression with Sparse Metric Learning. CoRR abs/1712.09001 (2017) - 2016
- [j42]Guoqing Chao, Shiliang Sun:
Multi-kernel maximum entropy discrimination for multi-view learning. Intell. Data Anal. 20(3): 481-493 (2016) - [j41]Guoqing Chao, Shiliang Sun:
Consensus and complementarity based maximum entropy discrimination for multi-view classification. Inf. Sci. 367-368: 296-310 (2016) - [j40]Jing Zhao, Shiliang Sun:
Variational Dependent Multi-output Gaussian Process Dynamical Systems. J. Mach. Learn. Res. 17: 121:1-121:36 (2016) - [j39]Yang Zhou, Shiliang Sun:
Local Tangent Space Discriminant Analysis. Neural Process. Lett. 43(3): 727-744 (2016) - [j38]Shiliang Sun, Xijiong Xie, Mo Yang:
Multiview Uncorrelated Discriminant Analysis. IEEE Trans. Cybern. 46(12): 3272-3284 (2016) - [j37]Jing Zhao, Shiliang Sun:
High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 17(7): 2014-2019 (2016) - [j36]Guoqing Chao, Shiliang Sun:
Alternative Multiview Maximum Entropy Discrimination. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1445-1456 (2016) - [j35]Shiliang Sun, Xijiong Xie:
Semisupervised Support Vector Machines With Tangent Space Intrinsic Manifold Regularization. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1827-1839 (2016) - [c78]Min Yin, Xijiong Xie, Shiliang Sun:
Key Course Selection in Academic Warning with Sparse Regression. CCPR (1) 2016: 731-741 - [c77]Min Yin, Jing Zhao, Shiliang Sun:
Key Course Selection for Academic Early Warning Based on Gaussian Processes. IDEAL 2016: 240-247 - [c76]Liang Mao, Shiliang Sun:
Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination. IJCAI 2016: 1839-1845 - 2015
- [j34]Xijiong Xie, Shiliang Sun:
Multi-view twin support vector machines. Intell. Data Anal. 19(4): 701-712 (2015) - [j33]Xijiong Xie, Shiliang Sun:
Multitask centroid twin support vector machines. Neurocomputing 149: 1085-1091 (2015) - [j32]Jin Zhou, Shiliang Sun:
Gaussian process versus margin sampling active learning. Neurocomputing 167: 122-131 (2015) - [j31]Shiliang Sun, Honglei Shi, Yuanbin Wu:
A survey of multi-source domain adaptation. Inf. Fusion 24: 84-92 (2015) - [j30]Shiliang Sun, Jing Zhao, Jiang Zhu:
A review of Nyström methods for large-scale machine learning. Inf. Fusion 26: 36-48 (2015) - [j29]Shiliang Sun, Jing Zhao, Qingbin Gao:
Modeling and recognizing human trajectories with beta process hidden Markov models. Pattern Recognit. 48(8): 2407-2417 (2015) - [c75]Qingqing Wang, Yue Lu, Shiliang Sun:
Text detection in nature scene images using two-stage nontext filtering. ICDAR 2015: 106-110 - [c74]Xuemei Yang, Shiliang Sun:
Kernel Local Fisher Discriminant Analysis-Based Prediction on Protein O-Glycosylation Sites Using SVM. ICIC (3) 2015: 700-705 - [c73]Yuanbin Wu, Shiliang Sun:
An Online Learning Algorithm for Bilinear Models. ICML 2015: 890-898 - [c72]Jing Zhao, Shiliang Sun:
Revisiting Gaussian Process Dynamical Models. IJCAI 2015: 1047-1053 - [c71]Honglei Shi, Shiliang Sun:
Sparse uncorrelated cross-domain feature extraction for signal classification in brain-computer interfaces. IJCNN 2015: 1-7 - [c70]Honglei Shi, Jinhua Xu, Shiliang Sun:
Uncorrelated transferable feature extraction for signal classification in brain-computer interfaces. IJCNN 2015: 1-7 - [c69]Xijiong Xie, Shiliang Sun:
PAC-Bayes Analysis for Twin Support Vector Machines. IJCNN 2015: 1-6 - 2014
- [j28]Xijiong Xie, Shiliang Sun:
Multi-view Laplacian twin support vector machines. Appl. Intell. 41(4): 1059-1068 (2014) - [j27]Shiliang Sun, Zakria Hussain, John Shawe-Taylor:
Manifold-preserving graph reduction for sparse semi-supervised learning. Neurocomputing 124: 13-21 (2014) - [j26]Jiang Zhu, Shiliang Sun:
Sparse Gaussian processes with manifold-preserving graph reduction. Neurocomputing 138: 99-105 (2014) - [j25]Jin Zhou, Shiliang Sun:
Active learning of Gaussian processes with manifold-preserving graph reduction. Neural Comput. Appl. 25(7-8): 1615-1625 (2014) - [c68]Jiang Zhu, Shiliang Sun:
Multi-task Sparse Gaussian Processes with Improved Multi-task Sparsity Regularization. CCPR (1) 2014: 54-62 - [c67]Jin Zhou, Shiliang Sun:
Improved Margin Sampling for Active Learning. CCPR (1) 2014: 120-129 - [c66]Jing Zhao, Shiliang Sun:
Variational Dependent Multi-output Gaussian Process Dynamical Systems. Discovery Science 2014: 350-361 - [c65]Jinhua Xu, Li Ding, Shiliang Sun:
Supervised Bayesian sparse coding for classification. IJCNN 2014: 319-326 - [c64]Shiliang Sun, Jin Zhou:
A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces. IJCNN 2014: 1746-1753 - [c63]Mo Yang, Shiliang Sun:
Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition. IJCNN 2014: 4175-4181 - [i3]Shiliang Sun, John Shawe-Taylor:
PAC-Bayes Analysis of Multi-view Learning. CoRR abs/1406.5614 (2014) - 2013
- [j24]Rongqing Huang, Shiliang Sun:
Kernel regression with sparse metric learning. J. Intell. Fuzzy Syst. 24(4): 775-787 (2013) - [j23]Shiliang Sun:
A survey of multi-view machine learning. Neural Comput. Appl. 23(7-8): 2031-2038 (2013) - [j22]Shiliang Sun:
A review of deterministic approximate inference techniques for Bayesian machine learning. Neural Comput. Appl. 23(7-8): 2039-2050 (2013) - [j21]Wenting Tu, Shiliang Sun:
Semi-supervised feature extraction for EEG classification. Pattern Anal. Appl. 16(2): 213-222 (2013) - [j20]You Ji, Shiliang Sun:
Multitask multiclass support vector machines: Model and experiments. Pattern Recognit. 46(3): 914-924 (2013) - [c62]Shiliang Sun:
Tangent space intrinsic manifold regularization for data representation. ChinaSIP 2013: 179-183 - [c61]Qingbin Gao, Shiliang Sun:
Trajectory-based human activity recognition with hierarchical dirichlet process hidden Markov models. ChinaSIP 2013: 456-460 - [c60]Xijiong Xie, Shiliang Sun:
Multi-view clustering ensembles. ICMLC 2013: 51-56 - [c59]Shiliang Sun:
Infinite mixtures of multivariate Gaussian processes. ICMLC 2013: 1011-1016 - [c58]Jiang Zhu, Shiliang Sun:
Single-task and multitask sparse Gaussian processes. ICMLC 2013: 1033-1038 - [c57]Shiliang Sun, Guoqing Chao:
Multi-View Maximum Entropy Discrimination. IJCAI 2013: 1706-1712 - [c56]Shiliang Sun, Zhijie Xu, Mo Yang:
Transfer Learning with Part-Based Ensembles. MCS 2013: 271-282 - [i2]Shiliang Sun:
Multi-view Laplacian Support Vector Machines. CoRR abs/1307.7024 (2013) - [i1]Shiliang Sun:
Infinite Mixtures of Multivariate Gaussian Processes. CoRR abs/1307.7028 (2013) - 2012
- [j19]Wenting Tu, Shiliang Sun:
A subject transfer framework for EEG classification. Neurocomputing 82: 109-116 (2012) - [j18]Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor, Shiliang Sun:
PAC-bayes bounds with data dependent priors. J. Mach. Learn. Res. 13: 3507-3531 (2012) - [c55]Guoqing Chao, Shiliang Sun:
Applying a multitask feature sparsity method for the classification of semantic relations between nominals. ICMLC 2012: 72-76 - [c54]Rongqing Huang, Shiliang Sun:
Sequential training of semi-supervised classification based on sparse Gaussian process regression. ICMLC 2012: 702-707 - [c53]Zhijie Xu, Shiliang Sun:
Multi-source Transfer Learning with Multi-view Adaboost. ICONIP (3) 2012: 332-339 - [c52]Guoqing Chao, Shiliang Sun:
Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination. ICONIP (3) 2012: 340-347 - [c51]Xijiong Xie, Shiliang Sun:
Multitask Twin Support Vector Machines. ICONIP (2) 2012: 341-348 - [c50]Wenting Tu, Shiliang Sun:
Dynamical ensemble learning with model-friendly classifiers for domain adaptation. ICPR 2012: 1181-1184 - [c49]You Ji, Shiliang Sun, Yue Lu:
Multitask multiclass privileged information support vector machines. ICPR 2012: 2323-2326 - 2011
- [j17]John Shawe-Taylor, Shiliang Sun:
A review of optimization methodologies in support vector machines. Neurocomputing 74(17): 3609-3618 (2011) - [j16]Shiliang Sun, Qiaona Chen:
Hierarchical Distance Metric Learning for Large Margin Nearest Neighbor Classification. Int. J. Pattern Recognit. Artif. Intell. 25(7): 1073-1087 (2011) - [j15]Shiliang Sun, Feng Jin:
Robust Co-Training. Int. J. Pattern Recognit. Artif. Intell. 25(7): 1113-1126 (2011) - [j14]Shiliang Sun, Yue Lu, Youguang Chen:
The stochastic approximation method for adaptive Bayesian classifiers: towards online brain-computer interfaces. Neural Comput. Appl. 20(1): 31-40 (2011) - [j13]Shiliang Sun, Qingjiu Zhang:
Multiple-View Multiple-Learner Semi-Supervised Learning. Neural Process. Lett. 34(3): 229-240 (2011) - [j12]Shiliang Sun, Xin Xu:
Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 12(2): 466-475 (2011) - [c48]Shiliang Sun:
Multi-view Laplacian Support Vector Machines. ADMA (2) 2011: 209-222 - [c47]You Ji, Shiliang Sun:
Multitask Multiclass Support Vector Machines. ICDM Workshops 2011: 512-518 - [c46]Zhijie Xu, Shiliang Sun:
Multi-view Transfer Learning with Adaboost. ICTAI 2011: 399-402 - [c45]Wenting Tu, Shiliang Sun:
Transferable Discriminative Dimensionality Reduction. ICTAI 2011: 865-868 - [c44]Wenting Tu, Shiliang Sun:
Semi-supervised feature extraction with local temporal regularization for EEG classification. IJCNN 2011: 75-80 - [c43]Rongqing Huang, Shiliang Sun, Yan Liu:
Sparse Kernel Regression for Traffic Flow Forecasting. ISNN (2) 2011: 76-84 - [c42]Ya Gao, Shiliang Sun, Dongyu Shi:
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso. ISNN (2) 2011: 151-158 - [c41]You Ji, Shiliang Sun, Jian Jin:
Off-line Signature Verification Based on Multitask Learning. ISNN (3) 2011: 323-330 - [c40]Zhijie Xu, Shiliang Sun:
Part-Based Transfer Learning. ISNN (3) 2011: 434-441 - [c39]Shiliang Sun, Feng Jin, Wenting Tu:
View Construction for Multi-view Semi-supervised Learning. ISNN (1) 2011: 595-601 - 2010
- [j11]Shiliang Sun:
Extreme energy difference for feature extraction of EEG signals. Expert Syst. Appl. 37(6): 4350-4357 (2010) - [j10]Shiliang Sun, David R. Hardoon:
Active learning with extremely sparse labeled examples. Neurocomputing 73(16-18): 2980-2988 (2010) - [j9]Shiliang Sun, John Shawe-Taylor:
Sparse Semi-supervised Learning Using Conjugate Functions. J. Mach. Learn. Res. 11: 2423-2455 (2010) - [j8]Qingjiu Zhang, Shiliang Sun:
Multiple-view multiple-learner active learning. Pattern Recognit. 43(9): 3113-3119 (2010) - [j7]Shiliang Sun:
Local within-class accuracies for weighting individual outputs in multiple classifier systems. Pattern Recognit. Lett. 31(2): 119-124 (2010) - [c38]Wenting Tu, Shiliang Sun:
Spatial Filter Selection with LASSO for EEG Classification. ADMA (2) 2010: 142-149 - [c37]Qingjiu Zhang, Shiliang Sun:
A Centroid k-Nearest Neighbor Method. ADMA (1) 2010: 278-285 - [c36]Shiliang Sun, Rongqing Huang:
An adaptive k-nearest neighbor algorithm. FSKD 2010: 91-94 - [c35]Ya Gao, Shiliang Sun:
An empirical evaluation of linear and nonlinear kernels for text classification using Support Vector Machines. FSKD 2010: 1502-1505 - [c34]Ya Gao, Shiliang Sun:
Multi-link traffic flow forecasting using neural networks. ICNC 2010: 398-401 - [c33]You Ji, Shiliang Sun:
Feature selection for ensembles using Non-dominated Sorting in Genetic Algorithms. ICNC 2010: 888-891 - [c32]Wenting Tu, Shiliang Sun:
Importance Weighted Extreme Energy Ratio for EEG Classification. ICONIP (2) 2010: 9-16 - [c31]Zhijie Xu, Shiliang Sun:
An Algorithm on Multi-View Adaboost. ICONIP (1) 2010: 355-362 - [c30]Qiaona Chen, Shiliang Sun:
Hierarchical Large Margin Nearest Neighbor Classification. ICPR 2010: 906-909 - [c29]Jinbo Li, Shiliang Sun:
Nonlinear Combination of Multiple Kernels for Support Vector Machines. ICPR 2010: 2889-2892 - [c28]Qiaoyu Sun, Yue Lu, Shiliang Sun:
A Visual Attention Based Approach to Text Extraction. ICPR 2010: 3991-3995 - [c27]Qingjiu Zhang, Shiliang Sun:
Evolutionary classifier ensembles for semi-supervised learning. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c26]Shiliang Sun, Jinbo Li:
A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals. ADMA 2009: 636-643 - [c25]Shiliang Sun:
Traffic flow forecasting based on multitask ensemble learning. GEC Summit 2009: 961-964 - [c24]Qiaona Chen, Shiliang Sun:
Hierarchical Multi-view Fisher Discriminant Analysis. ICONIP (2) 2009: 289-298 - [c23]Qingjiu Zhang, Shiliang Sun:
Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification. ICONIP (1) 2009: 349-356 - [c22]Shiliang Sun:
Weighting Individual Classifiers by Local Within-Class Accuracies. ISNN (2) 2009: 802-809 - [c21]Shiliang Sun:
Ensembles of Feature Subspaces for Object Detection. ISNN (2) 2009: 996-1004 - 2008
- [j6]Shiliang Sun, Changshui Zhang, Yue Lu:
The random electrode selection ensemble for EEG signal classification. Pattern Recognit. 41(5): 1663-1675 (2008) - [c20]Shiliang Sun:
High Reliable Multi-View Semi-Supervised Learning with Extremely Sparse Labeled Data. HIS 2008: 935-938 - [c19]Shiliang Sun:
The Extreme Energy Ratio Criterion for EEG Feature Extraction. ICANN (2) 2008: 919-928 - [c18]Shiliang Sun, Man Lan, Yue Lu:
Adaptive EEG signal classification using stochastic approximation methods. ICASSP 2008: 413-416 - [c17]Shiliang Sun:
Classifying EEG signals in Fisher discriminant spaces by random electrode selection. ICASSP 2008: 2053-2056 - [c16]Shiliang Sun:
Semantic Features for Multi-view Semi-supervised and Active Learning of Text Classification. ICDM Workshops 2008: 731-735 - [c15]Shiliang Sun:
Multitask learning for EEG-based biometrics. ICPR 2008: 1-4 - [c14]Shiliang Sun, Qiaona Chen:
Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting. IDEAL 2008: 9-16 - [c13]Feng Jin, Shiliang Sun:
A Multitask Learning Approach to Face Recognition Based on Neural Networks. IDEAL 2008: 24-31 - [c12]Shiliang Sun:
A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction. IDEAL 2008: 321-329 - [c11]Feng Jin, Shiliang Sun:
Neural network multitask learning for traffic flow forecasting. IJCNN 2008: 1897-1901 - [c10]Jinbo Li, Shiliang Sun:
Energy feature extraction of EEG signals and a case study. IJCNN 2008: 2366-2370 - 2007
- [j5]Shiliang Sun, Changshui Zhang, Dan Zhang:
An experimental evaluation of ensemble methods for EEG signal classification. Pattern Recognit. Lett. 28(15): 2157-2163 (2007) - [j4]Shiliang Sun, Changshui Zhang:
The Selective Random Subspace Predictor for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 8(2): 367-373 (2007) - [c9]Shiliang Sun:
An Improved Random Subspace Method and Its Application to EEG Signal Classification. MCS 2007: 103-112 - [c8]Shiliang Sun:
Ensemble Learning Methods for Classifying EEG Signals. MCS 2007: 113-120 - 2006
- [j3]Shiliang Sun, Changshui Zhang:
An optimal kernel feature extractor and its application to EEG signal classification. Neurocomputing 69(13-15): 1743-1748 (2006) - [j2]Shiliang Sun, Changshui Zhang:
Adaptive feature extraction for EEG signal classification. Medical Biol. Eng. Comput. 44(10): 931-935 (2006) - [j1]Shiliang Sun, Changshui Zhang, Guoqiang Yu:
A bayesian network approach to traffic flow forecasting. IEEE Trans. Intell. Transp. Syst. 7(1): 124-132 (2006) - 2005
- [c7]Shiliang Sun, Changshui Zhang:
Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces. Discovery Science 2005: 215-226 - [c6]Shiliang Sun, Changshui Zhang, Naijiang Lu:
On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces. FSKD (2) 2005: 638-647 - [c5]Shiliang Sun, Changshui Zhang, Yi Zhang:
Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor. ICANN (2) 2005: 273-278 - [c4]Shiliang Sun, Changshui Zhang:
Assessing features for electroencephalographic signal categorization. ICASSP (5) 2005: 417-420 - [c3]Shiliang Sun, Changshui Zhang:
Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting. ICNC (2) 2005: 652-655 - 2004
- [c2]Shiliang Sun, Changshui Zhang, Guoqiang Yu, Naijiang Lu, Fei Xiao:
Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data. ECML 2004: 419-428 - [c1]Changshui Zhang, Shiliang Sun, Guoqiang Yu:
Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data. ISNN (2) 2004: 950-955
Coauthor Index
[j118] [j116] [j114] [c126] [j111] [j110] [j108] [j106] [j104] [j102] [j101] [c120] [i20] [j91] [j87] [j86] [c118] [c117] [c116] [c115] [c114] [j84] [j82] [j79] [c112] [c111] [c110] [c107] [j69] [j67] [j64] [j62] [c104] [c103] [c100] [c94] [i14] [i13] [c91] [c90] [c87] [j46] [c85] [c84] [j40] [j37] [c77] [j30] [j29] [c72] [c66]
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