Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data. - Shiliang Sun; Changshui Zhang; Guoqiang Yu; Naijiang Lu; Fei Xiao (ECML, 2004)

Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data. - Changshui Zhang; Shiliang Sun; Guoqiang Yu (ISNN (2), 2004)

Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces. - Shiliang Sun; Changshui Zhang (Discovery Science, 2005)

On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces. - Shiliang Sun; Changshui Zhang; Naijiang Lu (FSKD (2), 2005)

Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor. - Shiliang Sun; Changshui Zhang; Yi Zhang 029 (ICANN (2), 2005)

Assessing features for electroencephalographic signal categorization. - Shiliang Sun; Changshui Zhang (ICASSP (5), 2005)

Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting. - Shiliang Sun; Changshui Zhang (ICNC (2), 2005)

An optimal kernel feature extractor and its application to EEG signal classification. - Shiliang Sun; Changshui Zhang (Neurocomputing, 2006)

Adaptive feature extraction for EEG signal classification. - Shiliang Sun; Changshui Zhang (Medical Biol. Eng. Comput., 2006)

A bayesian network approach to traffic flow forecasting. - Shiliang Sun; Changshui Zhang; Guoqiang Yu (IEEE Trans. Intell. Transp. Syst., 2006)

An Improved Random Subspace Method and Its Application to EEG Signal Classification. - Shiliang Sun (MCS, 2007)

Ensemble Learning Methods for Classifying EEG Signals. - Shiliang Sun (MCS, 2007)

An experimental evaluation of ensemble methods for EEG signal classification. - Shiliang Sun; Changshui Zhang; Dan Zhang 007 (Pattern Recognit. Lett., 2007)

The Selective Random Subspace Predictor for Traffic Flow Forecasting. - Shiliang Sun; Changshui Zhang (IEEE Trans. Intell. Transp. Syst., 2007)

High Reliable Multi-View Semi-Supervised Learning with Extremely Sparse Labeled Data. - Shiliang Sun (HIS, 2008)

The Extreme Energy Ratio Criterion for EEG Feature Extraction. - Shiliang Sun (ICANN (2), 2008)

Classifying EEG signals in Fisher discriminant spaces by random electrode selection. - Shiliang Sun (ICASSP, 2008)

Adaptive EEG signal classification using stochastic approximation methods. - Shiliang Sun; Man Lan; Yue Lu 001 (ICASSP, 2008)

Semantic Features for Multi-view Semi-supervised and Active Learning of Text Classification. - Shiliang Sun (ICDM Workshops, 2008)

Multitask learning for EEG-based biometrics. - Shiliang Sun (ICPR, 2008)

A Multitask Learning Approach to Face Recognition Based on Neural Networks. - Feng Jin; Shiliang Sun (IDEAL, 2008)

A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction. - Shiliang Sun (IDEAL, 2008)

Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting. - Shiliang Sun; Qiaona Chen (IDEAL, 2008)

Neural network multitask learning for traffic flow forecasting. - Feng Jin; Shiliang Sun (IJCNN, 2008)

Energy feature extraction of EEG signals and a case study. - Jinbo Li; Shiliang Sun (IJCNN, 2008)

The random electrode selection ensemble for EEG signal classification. - Shiliang Sun; Changshui Zhang; Yue Lu 001 (Pattern Recognit., 2008)

A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals. - Shiliang Sun; Jinbo Li (ADMA, 2009)

Traffic flow forecasting based on multitask ensemble learning. - Shiliang Sun (GEC Summit, 2009)

Hierarchical Multi-view Fisher Discriminant Analysis. - Qiaona Chen; Shiliang Sun (ICONIP (2), 2009)

Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification. - Qingjiu Zhang; Shiliang Sun (ICONIP (1), 2009)

Weighting Individual Classifiers by Local Within-Class Accuracies. - Shiliang Sun (ISNN (2), 2009)

Ensembles of Feature Subspaces for Object Detection. - Shiliang Sun (ISNN (2), 2009)

Spatial Filter Selection with LASSO for EEG Classification. - Wenting Tu; Shiliang Sun (ADMA (2), 2010)

A Centroid k-Nearest Neighbor Method. - Qingjiu Zhang; Shiliang Sun (ADMA (1), 2010)

An empirical evaluation of linear and nonlinear kernels for text classification using Support Vector Machines. - Ya Gao; Shiliang Sun (FSKD, 2010)

An adaptive k-nearest neighbor algorithm. - Shiliang Sun; Rongqing Huang (FSKD, 2010)

Multi-link traffic flow forecasting using neural networks. - Ya Gao; Shiliang Sun (ICNC, 2010)

Feature selection for ensembles using Non-dominated Sorting in Genetic Algorithms. - You Ji; Shiliang Sun (ICNC, 2010)

Importance Weighted Extreme Energy Ratio for EEG Classification. - Wenting Tu; Shiliang Sun (ICONIP (2), 2010)

An Algorithm on Multi-View Adaboost. - Zhijie Xu; Shiliang Sun (ICONIP (1), 2010)

Hierarchical Large Margin Nearest Neighbor Classification. - Qiaona Chen; Shiliang Sun (ICPR, 2010)

Nonlinear Combination of Multiple Kernels for Support Vector Machines. - Jinbo Li; Shiliang Sun (ICPR, 2010)

A Visual Attention Based Approach to Text Extraction. - Qiaoyu Sun; Yue Lu 001; Shiliang Sun (ICPR, 2010)

Evolutionary classifier ensembles for semi-supervised learning. - Qingjiu Zhang; Shiliang Sun (IJCNN, 2010)

Extreme energy difference for feature extraction of EEG signals. - Shiliang Sun (Expert Syst. Appl., 2010)

Active learning with extremely sparse labeled examples. - Shiliang Sun; David R. Hardoon (Neurocomputing, 2010)

Sparse Semi-supervised Learning Using Conjugate Functions. - Shiliang Sun; John Shawe-Taylor (J. Mach. Learn. Res., 2010)

Multiple-view multiple-learner active learning. - Qingjiu Zhang; Shiliang Sun (Pattern Recognit., 2010)

Local within-class accuracies for weighting individual outputs in multiple classifier systems. - Shiliang Sun (Pattern Recognit. Lett., 2010)

Multi-view Laplacian Support Vector Machines. - Shiliang Sun (ADMA (2), 2011)

Multitask Multiclass Support Vector Machines. - You Ji; Shiliang Sun (ICDM Workshops, 2011)

Transferable Discriminative Dimensionality Reduction. - Wenting Tu; Shiliang Sun (ICTAI, 2011)

Multi-view Transfer Learning with Adaboost. - Zhijie Xu; Shiliang Sun (ICTAI, 2011)

Semi-supervised feature extraction with local temporal regularization for EEG classification. - Wenting Tu; Shiliang Sun (IJCNN, 2011)

Network-Scale Traffic Modeling and Forecasting with Graphical Lasso. - Ya Gao; Shiliang Sun; Dongyu Shi (ISNN (2), 2011)

Sparse Kernel Regression for Traffic Flow Forecasting. - Rongqing Huang; Shiliang Sun; Yan Liu (ISNN (2), 2011)

Off-line Signature Verification Based on Multitask Learning. - You Ji; Shiliang Sun; Jian Jin (ISNN (3), 2011)

View Construction for Multi-view Semi-supervised Learning. - Shiliang Sun; Feng Jin; Wenting Tu (ISNN (1), 2011)

Part-Based Transfer Learning. - Zhijie Xu; Shiliang Sun (ISNN (3), 2011)

A review of optimization methodologies in support vector machines. - John Shawe-Taylor; Shiliang Sun (Neurocomputing, 2011)

Hierarchical Distance Metric Learning for Large Margin Nearest Neighbor Classification. - Shiliang Sun; Qiaona Chen (Int. J. Pattern Recognit. Artif. Intell., 2011)

Robust Co-Training. - Shiliang Sun; Feng Jin (Int. J. Pattern Recognit. Artif. Intell., 2011)

The stochastic approximation method for adaptive Bayesian classifiers: towards online brain-computer interfaces. - Shiliang Sun; Yue Lu 001; Youguang Chen (Neural Comput. Appl., 2011)

Multiple-View Multiple-Learner Semi-Supervised Learning. - Shiliang Sun; Qingjiu Zhang (Neural Process. Lett., 2011)

Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction. - Shiliang Sun; Xin Xu 001 (IEEE Trans. Intell. Transp. Syst., 2011)

Applying a multitask feature sparsity method for the classification of semantic relations between nominals. - Guoqing Chao; Shiliang Sun (ICMLC, 2012)

Sequential training of semi-supervised classification based on sparse Gaussian process regression. - Rongqing Huang; Shiliang Sun (ICMLC, 2012)

Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination. - Guoqing Chao; Shiliang Sun (ICONIP (3), 2012)

Multitask Twin Support Vector Machines. - Xijiong Xie; Shiliang Sun (ICONIP (2), 2012)

Multi-source Transfer Learning with Multi-view Adaboost. - Zhijie Xu; Shiliang Sun (ICONIP (3), 2012)

Multitask multiclass privileged information support vector machines. - You Ji; Shiliang Sun; Yue Lu 001 (ICPR, 2012)

Dynamical ensemble learning with model-friendly classifiers for domain adaptation. - Wenting Tu; Shiliang Sun (ICPR, 2012)

A subject transfer framework for EEG classification. - Wenting Tu; Shiliang Sun (Neurocomputing, 2012)

PAC-bayes bounds with data dependent priors. - Emilio Parrado-Hernández; Amiran Ambroladze; John Shawe-Taylor; Shiliang Sun (J. Mach. Learn. Res., 2012)

Trajectory-based human activity recognition with hierarchical dirichlet process hidden Markov models. - Qingbin Gao; Shiliang Sun (ChinaSIP, 2013)

Tangent space intrinsic manifold regularization for data representation. - Shiliang Sun (ChinaSIP, 2013)

Infinite mixtures of multivariate Gaussian processes. - Shiliang Sun (ICMLC, 2013)

Multi-view clustering ensembles. - Xijiong Xie; Shiliang Sun (ICMLC, 2013)

Single-task and multitask sparse Gaussian processes. - Jiang Zhu; Shiliang Sun (ICMLC, 2013)

Multi-View Maximum Entropy Discrimination. - Shiliang Sun; Guoqing Chao (IJCAI, 2013)

Transfer Learning with Part-Based Ensembles. - Shiliang Sun; Zhijie Xu; Mo Yang (MCS, 2013)

Kernel regression with sparse metric learning. - Rongqing Huang; Shiliang Sun (J. Intell. Fuzzy Syst., 2013)

A survey of multi-view machine learning. - Shiliang Sun (Neural Comput. Appl., 2013)

A review of deterministic approximate inference techniques for Bayesian machine learning. - Shiliang Sun (Neural Comput. Appl., 2013)

Semi-supervised feature extraction for EEG classification. - Wenting Tu; Shiliang Sun (Pattern Anal. Appl., 2013)

Multitask multiclass support vector machines: Model and experiments. - You Ji; Shiliang Sun (Pattern Recognit., 2013)

Improved Margin Sampling for Active Learning. - Jin Zhou; Shiliang Sun (CCPR (1), 2014)

Multi-task Sparse Gaussian Processes with Improved Multi-task Sparsity Regularization. - Jiang Zhu; Shiliang Sun (CCPR (1), 2014)

A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces. - Shiliang Sun; Jin Zhou (IJCNN, 2014)

Supervised Bayesian sparse coding for classification. - Jinhua Xu; Li Ding; Shiliang Sun (IJCNN, 2014)

Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition. - Mo Yang; Shiliang Sun (IJCNN, 2014)

Multi-view Laplacian twin support vector machines. - Xijiong Xie; Shiliang Sun (Appl. Intell., 2014)

PAC-Bayes Analysis of Multi-view Learning. - Shiliang Sun; John Shawe-Taylor (CoRR, 2014)

Manifold-preserving graph reduction for sparse semi-supervised learning. - Shiliang Sun; Zakria Hussain; John Shawe-Taylor (Neurocomputing, 2014)

Sparse Gaussian processes with manifold-preserving graph reduction. - Jiang Zhu; Shiliang Sun (Neurocomputing, 2014)

Active learning of Gaussian processes with manifold-preserving graph reduction. - Jin Zhou; Shiliang Sun (Neural Comput. Appl., 2014)

Text detection in nature scene images using two-stage nontext filtering. - Qingqing Wang; Yue Lu 001; Shiliang Sun (ICDAR, 2015)

Kernel Local Fisher Discriminant Analysis-Based Prediction on Protein O-Glycosylation Sites Using SVM. - Xuemei Yang; Shiliang Sun (ICIC (3), 2015)

An Online Learning Algorithm for Bilinear Models. - Yuanbin Wu; Shiliang Sun (ICML, 2015)

Revisiting Gaussian Process Dynamical Models. - Jing Zhao 015; Shiliang Sun (IJCAI, 2015)

Sparse uncorrelated cross-domain feature extraction for signal classification in brain-computer interfaces. - Honglei Shi; Shiliang Sun (IJCNN, 2015)

Uncorrelated transferable feature extraction for signal classification in brain-computer interfaces. - Honglei Shi; Jinhua Xu; Shiliang Sun (IJCNN, 2015)

PAC-Bayes Analysis for Twin Support Vector Machines. - Xijiong Xie; Shiliang Sun (IJCNN, 2015)

Multi-view twin support vector machines. - Xijiong Xie; Shiliang Sun (Intell. Data Anal., 2015)

Multitask centroid twin support vector machines. - Xijiong Xie; Shiliang Sun (Neurocomputing, 2015)

Gaussian process versus margin sampling active learning. - Jin Zhou; Shiliang Sun (Neurocomputing, 2015)

A survey of multi-source domain adaptation. - Shiliang Sun; Honglei Shi; Yuanbin Wu (Inf. Fusion, 2015)

A review of Nyström methods for large-scale machine learning. - Shiliang Sun; Jing Zhao 015; Jiang Zhu (Inf. Fusion, 2015)

Modeling and recognizing human trajectories with beta process hidden Markov models. - Shiliang Sun; Jing Zhao 015; Qingbin Gao (Pattern Recognit., 2015)

Key Course Selection in Academic Warning with Sparse Regression. - Min Yin; Xijiong Xie; Shiliang Sun (CCPR (1), 2016)

Key Course Selection for Academic Early Warning Based on Gaussian Processes. - Min Yin; Jing Zhao 015; Shiliang Sun (IDEAL, 2016)

Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination. - Liang Mao; Shiliang Sun (IJCAI, 2016)

Multi-kernel maximum entropy discrimination for multi-view learning. - Guoqing Chao; Shiliang Sun (Intell. Data Anal., 2016)

Consensus and complementarity based maximum entropy discrimination for multi-view classification. - Guoqing Chao; Shiliang Sun (Inf. Sci., 2016)

Variational Dependent Multi-output Gaussian Process Dynamical Systems. - Jing Zhao 015; Shiliang Sun (J. Mach. Learn. Res., 2016)

Local Tangent Space Discriminant Analysis. - Yang Zhou 017; Shiliang Sun (Neural Process. Lett., 2016)

Multiview Uncorrelated Discriminant Analysis. - Shiliang Sun; Xijiong Xie; Mo Yang (IEEE Trans. Cybern., 2016)

High-Order Gaussian Process Dynamical Models for Traffic Flow Prediction. - Jing Zhao 015; Shiliang Sun (IEEE Trans. Intell. Transp. Syst., 2016)

Alternative Multiview Maximum Entropy Discrimination. - Guoqing Chao; Shiliang Sun (IEEE Trans. Neural Networks Learn. Syst., 2016)

Semisupervised Support Vector Machines With Tangent Space Intrinsic Manifold Regularization. - Shiliang Sun; Xijiong Xie (IEEE Trans. Neural Networks Learn. Syst., 2016)

Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network. - Changzhi Sun; Yuanbin Wu; Man Lan; Shiliang Sun; Qi Zhang 001 (EACL (1), 2017)

Variational hidden conditional random fields with beta processes. - Chen Luo; Shiliang Sun; Jing Zhao 015 (ICNC-FSKD, 2017)

Educational and Non-educational Text Classification Based on Deep Gaussian Processes. - Huijuan Wang; Jing Zhao 015; Zeheng Tang; Shiliang Sun (ICONIP (1), 2017)

Variational Mixtures of Gaussian Processes for Classification. - Chen Luo; Shiliang Sun (IJCAI, 2017)

Sparse Multimodal Gaussian Processes. - Qiuyang Liu; Shiliang Sun (IScIDE, 2017)

Location Dependent Dirichlet Processes. - Shiliang Sun; John W. Paisley; Qiuyang Liu (IScIDE, 2017)

A Learning Error Analysis for Structured Prediction with Approximate Inference. - Yuanbin Wu; Man Lan; Shiliang Sun; Qi Zhang 001; Xuanjing Huang 001 (NIPS, 2017)

Multi-view Regularized Gaussian Processes. - Qiuyang Liu; Shiliang Sun (PAKDD (2), 2017)

A Survey on Multi-View Clustering. - Guoqing Chao; Shiliang Sun; Jinbo Bi (CoRR, 2017)

PAC-Bayes bounds for twin support vector machines. - Xijiong Xie; Shiliang Sun (Neurocomputing, 2017)

A review of natural language processing techniques for opinion mining systems. - Shiliang Sun; Chen Luo; Junyu Chen (Inf. Fusion, 2017)

PAC-Bayes analysis of multi-view learning. - Shiliang Sun; John Shawe-Taylor; Liang Mao (Inf. Fusion, 2017)

Multi-view learning overview: Recent progress and new challenges. - Jing Zhao 015; Xijiong Xie; Xin Xu 001; Shiliang Sun (Inf. Fusion, 2017)

Manifold Partition Discriminant Analysis. - Yang Zhou 017; Shiliang Sun (IEEE Trans. Cybern., 2017)

Nonparametric Sparse Matrix Decomposition for Cross-View Dimensionality Reduction. - Huawen Liu; Lin Liu 003; Thuc Duy Le; Ivan Lee 001; Shiliang Sun; Jiuyong Li (IEEE Trans. Multim., 2017)

Editorial: A Successful Year and Looking Forward to 2017 and Beyond. - Haibo He; Robert Haas; Jun Fu; Barbara Hammer; Daniel W. C. Ho; Fakhri Karray; Dhireesha Kudithipudi; José Antonio Lozano 001; Teresa Bernarda Ludermir; Jacek Mandziuk; Stefano Melacci; Antonio Paiva; et al. (IEEE Trans. Neural Networks Learn. Syst., 2017)

Extracting Entities and Relations with Joint Minimum Risk Training. - Changzhi Sun; Yuanbin Wu; Man Lan; Shiliang Sun; Wenting Wang; Kuang-Chih Lee; Kewen Wu 003 (EMNLP, 2018)

Active Learning Methods with Deep Gaussian Processes. - Jingjing Fei; Jing Zhao 015; Shiliang Sun; Yan Liu (ICONIP (3), 2018)

Multi-view Deep Gaussian Processes. - Shiliang Sun; Qiuyang Liu (ICONIP (1), 2018)

Intelligent Educational Data Analysis with Gaussian Processes. - Jiachun Wang; Jing Zhao 015; Shiliang Sun; Dongyu Shi (ICONIP (6), 2018)

PAC-Bayes bounds for stable algorithms with instance-dependent priors. - Omar Rivasplata; Csaba Szepesvári; John Shawe-Taylor; Emilio Parrado-Hernández; Shiliang Sun (NeurIPS, 2018)

Multi-label Active Learning with Conditional Bernoulli Mixtures. - Junyu Chen; Shiliang Sun; Jing Zhao 015 (PRICAI (1), 2018)

Multi-view Learning and Deep Learning for Microscopic Neuroblastoma Pathology Image Diagnosis. - Yuhan Liu; Minzhi Yin; Shiliang Sun (PRICAI (1), 2018)

Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks. - Shiliang Sun; Rongqing Huang; Ya Gao (CoRR, 2018)

Domain Adaptation with Twin Support Vector Machines. - Xijiong Xie; Shiliang Sun; Huahui Chen 001; Jiangbo Qian (Neural Process. Lett., 2018)

Multiview Machine Learning - Shiliang Sun; Liang Mao; Ziang Dong; Lidan Wu (Springer, 2019)

Joint Type Inference on Entities and Relations via Graph Convolutional Networks. - Changzhi Sun; Yeyun Gong; Yuanbin Wu; Ming Gong 001; Daxin Jiang; Man Lan; Shiliang Sun; Nan Duan (ACL (1), 2019)

A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling. - Ziang Dong; Jing Zhao 015; Shiliang Sun (ICONIP (5), 2019)

Online Anomaly Detection with Sparse Gaussian Processes. - Jingjing Fei; Shiliang Sun (CoRR, 2019)

Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling. - Minghao Gu; Shiliang Sun (CoRR, 2019)

A Variant of Gaussian Process Dynamical Systems. - Jing Zhao 015; Jingjing Fei; Shiliang Sun (CoRR, 2019)

Adversarial Attack with Pattern Replacement. - Ziang Dong; Liang Mao; Shiliang Sun (CoRR, 2019)

Dynamical Sampling with Langevin Normalization Flows. - Minghao Gu; Shiliang Sun; Yan Liu (Entropy, 2019)

Generalizing expectation propagation with mixtures of exponential family distributions and an application to Bayesian logistic regression. - Shiliang Sun; Shaojie He (Neurocomputing, 2019)

General multi-view learning with maximum entropy discrimination. - Xijiong Xie; Shiliang Sun (Neurocomputing, 2019)

Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization. - Guoqing Chao; Shiliang Sun (Inf. Fusion, 2019)

Multi-view learning for visual violence recognition with maximum entropy discrimination and deep features. - Shiliang Sun; Yuhan Liu; Liang Mao (Inf. Fusion, 2019)

Multi-view Opinion Mining with Deep Learning. - Ping Huang 002; Xijiong Xie; Shiliang Sun (Neural Process. Lett., 2019)

Multiview Learning With Generalized Eigenvalue Proximal Support Vector Machines. - Shiliang Sun; Xijiong Xie; Chao Dong (IEEE Trans. Cybern., 2019)

Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning. - Zhaohong Deng; Jie Lu 001; Dongrui Wu; Kup-Sze Choi; Shiliang Sun; Yusuke Nojima (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm. - Daqing Chang; Shiliang Sun; Changshui Zhang (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract). - Yueyue Hu; Shiliang Sun; Xin Xu 001; Jing Zhao 015 (AAAI, 2020)

Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract). - Xiao Liu; Jing Zhao 015; Shiliang Sun (AAAI, 2020)

Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning. - Minghan Wang; Hao Yang 006; Ying Qin; Shiliang Sun; Yao Deng (EAMT, 2020)

Semismooth Newton Algorithm for Efficient Projections onto ℓ1, ∞-norm Ball. - Dejun Chu; Changshui Zhang; Shiliang Sun; Qing Tao (ICML, 2020)

Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique. - Han Zhu 009; Jing Zhao 015; Shiliang Sun (PAKDD (2), 2020)

System Report of HW-TSC on the CAPITEL NER Evaluation. - Lizhi Lei; Minghan Wang; Hao Yang 006; Shiliang Sun; Ying Qin; Daimeng Wei (IberLEF@SEPLN, 2020)

HW-TSC's Participation at WMT 2020 Quality Estimation Shared Task. - Minghan Wang; Hao Yang 006; Hengchao Shang; Daimeng Wei; Jiaxin Guo; Lizhi Lei; Ying Qin; Shimin Tao; Shiliang Sun; Yimeng Chen; Liangyou Li (WMT@EMNLP, 2020)

HW-TSC's Participation in the WMT 2020 News Translation Shared Task. - Daimeng Wei; Hengchao Shang; Zhanglin Wu; Zhengzhe Yu; Liangyou Li; Jiaxin Guo; Minghan Wang; Hao Yang 006; Lizhi Lei; Ying Qin; Shiliang Sun (WMT@EMNLP, 2020)

HW-TSC's Participation at WMT 2020 Automatic Post Editing Shared Task. - Hao Yang 006; Minghan Wang; Daimeng Wei; Hengchao Shang; Jiaxin Guo; Zongyao Li; Lizhi Lei; Ying Qin; Shimin Tao; Shiliang Sun; Yimeng Chen (WMT@EMNLP, 2020)

Neural Langevin Dynamical Sampling. - Minghao Gu; Shiliang Sun (IEEE Access, 2020)

Adversarial Attacks for Multi-view Deep Models. - Xuli Sun; Shiliang Sun (CoRR, 2020)

Manifold Partition Discriminant Analysis. - Yang Zhou; Shiliang Sun (CoRR, 2020)

GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification. - Daoming Zong; Shiliang Sun (CoRR, 2020)

Policy-based reinforcement learning for time series anomaly detection. - Mengran Yu; Shiliang Sun (Eng. Appl. Artif. Intell., 2020)

Online anomaly detection with sparse Gaussian processes. - Minghao Gu; Jingjing Fei; Shiliang Sun (Neurocomputing, 2020)

Probabilistic inference of Bayesian neural networks with generalized expectation propagation. - Jing Zhao 015; Xiao Liu; Shaojie He; Shiliang Sun (Neurocomputing, 2020)

General multi-view semi-supervised least squares support vector machines with multi-manifold regularization. - Xijiong Xie; Shiliang Sun (Inf. Fusion, 2020)

Hybrid neural conditional random fields for multi-view sequence labeling. - Xuli Sun; Shiliang Sun; Minzhi Yin; Hao Yang (Knowl. Based Syst., 2020)

Multiview learning with variational mixtures of Gaussian processes. - Shiliang Sun; Jiachun Wang (Knowl. Based Syst., 2020)

Promoting active learning with mixtures of Gaussian processes. - Jing Zhao 015; Shiliang Sun; Huijuan Wang; Zehui Cao (Knowl. Based Syst., 2020)

Attentive multi-view reinforcement learning. - Yueyue Hu; Shiliang Sun; Xin Xu 001; Jing Zhao 015 (Int. J. Mach. Learn. Cybern., 2020)

Decomposed slice sampling for factorized distributions. - Jiachun Wang; Shiliang Sun (Pattern Recognit., 2020)

A Survey of Optimization Methods From a Machine Learning Perspective. - Shiliang Sun; Zehui Cao; Han Zhu 009; Jing Zhao 015 (IEEE Trans. Cybern., 2020)

Multi-View Support Vector Machines with the Consensus and Complementarity Information. - Xijiong Xie; Shiliang Sun (IEEE Trans. Knowl. Data Eng., 2020)

Multiview Uncorrelated Locality Preserving Projection. - Jun Yin 003; Shiliang Sun (IEEE Trans. Neural Networks Learn. Syst., 2020)

ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion. - Daoming Zong; Shiliang Sun; Jing Zhao 015 (AAAI, 2021)

Image-Assisted Transformer in Zero-Resource Multi-Modal Translation. - Ping Huang 002; Shiliang Sun; Hao Yang (ICASSP, 2021)

Multi-Task Transformer with Input Feature Reconstruction for Dysarthric Speech Recognition. - Chaoyue Ding; Shiliang Sun; Jing Zhao 015 (ICASSP, 2021)

A Sequential Contrastive Learning Framework for Robust Dysarthric Speech Recognition. - Lidan Wu; Daoming Zong; Shiliang Sun; Jing Zhao 015 (ICASSP, 2021)

SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis. - Yuhan Liu; Shiliang Sun (ICML, 2021)

Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss. - Shiqi Guo; Jing Zhao 015; Shiliang Sun (IJCNN, 2021)

Multi-view Defense with Adversarial Autoencoders. - Xuli Sun; Shiliang Sun (IJCNN, 2021)

Knowledge-Based Conversational Recommender Systems Enhanced by Dialogue Policy Learning. - Keyu Chen; Shiliang Sun (IJCKG, 2021)

Adversarial robustness and attacks for multi-view deep models. - Xuli Sun; Shiliang Sun (Eng. Appl. Artif. Intell., 2021)

Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition. - Jing Zhao 015; Yi Zhang; Shiliang Sun; Haiwei Dai (Entropy, 2021)

Alpha-divergence minimization with mixed variational posterior for Bayesian neural networks and its robustness against adversarial examples. - Xiao Liu; Shiliang Sun (Neurocomputing, 2021)

Variational multimodal machine translation with underlying semantic alignment. - Xiao Liu; Jing Zhao 015; Shiliang Sun; Huawen Liu; Hao Yang 006 (Inf. Fusion, 2021)

Multi-view Gaussian processes with posterior consistency. - Shiliang Sun; Xuli Sun; Qiuyang Liu (Inf. Sci., 2021)

RL-VAEGAN: Adversarial defense for reinforcement learning agents via style transfer. - Yueyue Hu; Shiliang Sun (Knowl. Based Syst., 2021)

Stick-Breaking Dependent Beta Processes with Variational Inference. - Zehui Cao; Jing Zhao 015; Shiliang Sun (Neural Process. Lett., 2021)

Multi-View Representation Learning With Deep Gaussian Processes. - Shiliang Sun; Wenbo Dong; Qiuyang Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

LCBM: A Multi-View Probabilistic Model for Multi-Label Classification. - Shiliang Sun; Daoming Zong (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

A Survey on Multiview Clustering. - Guoqing Chao; Shiliang Sun; Jinbo Bi (IEEE Trans. Artif. Intell., 2021)

DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors. - Yuhan Liu; Minzhi Yin; Shiliang Sun (IEEE Trans. Medical Imaging, 2021)

Multiview Variational Sparse Gaussian Processes. - Liang Mao; Shiliang Sun (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles. - Jiahang Liu; Zhenhua Huang 004; Xin Xu 001; Xinglong Zhang; Shiliang Sun; Dazi Li (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Natural Black-Box Adversarial Examples against Deep Reinforcement Learning. - Mengran Yu; Shiliang Sun (AAAI, 2022)

Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation. - Tao Hu; Shiliang Sun; Jing Zhao 015; Dongyu Shi (IJCAI, 2022)

TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning. - Yujia Li; Shiliang Sun; Jing Zhao 015 (IJCAI, 2022)

Multi-Modal Adversarial Example Detection with Transformer. - Chaoyue Ding; Shiliang Sun; Jing Zhao 015 (IJCNN, 2022)

Robust Cross-Modal Retrieval by Adversarial Training. - Tao Zhang; Shiliang Sun; Jing Zhao 015 (IJCNN, 2022)

Diverse Machine Translation with Translation Memory. - Yi Zhang; Jing Zhao 015; Shiliang Sun (IJCNN, 2022)

Safe Offline Reinforcement Learning Through Hierarchical Policies. - Shaofan Liu; Shiliang Sun (PAKDD (2), 2022)

Editorial: special issue on multi-view learning. - Guoqing Chao; Xingquan Zhu 001; Weiping Ding 001; Jinbo Bi; Shiliang Sun (Appl. Intell., 2022)

FE-DaST: Fast and effective data-free substitute training for black-box adversarial attacks. - Mengran Yu; Shiliang Sun (Comput. Secur., 2022)

Adversarially Training MCMC with Non-Volume-Preserving Flows. - Shaofan Liu; Shiliang Sun (Entropy, 2022)

Anchor-based incomplete multi-view spectral clustering. - Jun Yin 003; Runcheng Cai; Shiliang Sun (Neurocomputing, 2022)

Stability-based PAC-Bayes analysis for multi-view learning algorithms. - Shiliang Sun; Mengran Yu; John Shawe-Taylor; Liang Mao (Inf. Fusion, 2022)

Multi-view multi-label active learning with conditional Bernoulli mixtures. - Jing Zhao 015; Zengyu Qiu; Shiliang Sun (Int. J. Mach. Learn. Cybern., 2022)

Incomplete multi-view clustering with cosine similarity. - Jun Yin 003; Shiliang Sun (Pattern Recognit., 2022)

Incomplete multiview nonnegative representation learning with multiple graphs. - Nan Zhang 014; Shiliang Sun (Pattern Recognit., 2022)

Multiview Graph Restricted Boltzmann Machines. - Nan Zhang 014; Shiliang Sun (IEEE Trans. Cybern., 2022)

MFIALane: Multiscale Feature Information Aggregator Network for Lane Detection. - Zengyu Qiu; Jing Zhao 015; Shiliang Sun (IEEE Trans. Intell. Transp. Syst., 2022)

Conditional Random Fields for Multiview Sequential Data Modeling. - Shiliang Sun; Ziang Dong; Jing Zhao 015 (IEEE Trans. Neural Networks Learn. Syst., 2022)

CP-Rec: Contextual Prompting for Conversational Recommender Systems. - Keyu Chen; Shiliang Sun (AAAI, 2023)

Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. - Dejun Chu; Changshui Zhang; Shiliang Sun; Qing Tao (AAAI, 2023)

McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning. - Daoming Zong; Shiliang Sun (AAAI, 2023)

Effective Domain Adaptation for Robust Dysarthric Speech Recognition. - Shanhu Wang; Jing Zhao 015; Shiliang Sun (ICONIP (10), 2023)

MST-GAT: A multimodal spatial-temporal graph attention network for time series anomaly detection. - Chaoyue Ding; Shiliang Sun; Jing Zhao 015 (Inf. Fusion, 2023)

Multi-modal policy fusion for end-to-end autonomous driving. - Zhenbo Huang; Shiliang Sun; Jing Zhao 015; Liang Mao (Inf. Fusion, 2023)

Deep multi-view multiclass twin support vector machines. - Xijiong Xie; Yanfeng Li; Shiliang Sun (Inf. Fusion, 2023)

Multi-view Collaborative Gaussian Process Dynamical Systems. - Shiliang Sun; Jingjing Fei; Jing Zhao 015; Liang Mao (J. Mach. Learn. Res., 2023)

A multi-view deep learning model for pathology image diagnosis. - Wenbo Dong; Shiliang Sun; Minzhi Yin (Appl. Intell., 2023)

Incomplete Multi-View Clustering With Reconstructed Views. - Jun Yin 003; Shiliang Sun (IEEE Trans. Knowl. Data Eng., 2023)

Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling. - Shiliang Sun; Jing Zhao 015; Minghao Gu; Shanhu Wang (Entropy, 2023)

Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering. - Nan Zhang 014; Shiliang Sun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Editorial: Special Issue on Transfer Learning. - Guoqing Chao; Xingquan Zhu 001; Weiping Ding 001; Jinbo Bi; Shiliang Sun (Neural Process. Lett., 2023)

Concept Drift Adaptation for Time Series Anomaly Detection via Transformer. - Chaoyue Ding; Jing Zhao 015; Shiliang Sun (Neural Process. Lett., 2023)

Fair Transfer Learning with Factor Variational Auto-Encoder. - Shaofan Liu; Shiliang Sun; Jing Zhao 015 (Neural Process. Lett., 2023)

Safe batch constrained deep reinforcement learning with generative adversarial network. - Wenbo Dong; Shaofan Liu; Shiliang Sun (Inf. Sci., 2023)

BGNN-XML: Bilateral Graph Neural Networks for Extreme Multi-Label Text Classification. - Daoming Zong; Shiliang Sun (IEEE Trans. Knowl. Data Eng., 2023)

Effective sample pairs based contrastive learning for clustering. - Jun Yin 003; Haowei Wu; Shiliang Sun (Inf. Fusion, 2023)

Knowledge graph relation reasoning with variational reinforcement network. - Wenbo Dong; Shiliang Sun; Jing Zhao 015; Nan Zhang 014 (Inf. Fusion, 2023)

Multi-View Deep Gaussian Processes for Supervised Learning. - Wenbo Dong; Shiliang Sun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. - Jun Yin 003; Shiliang Sun; Lai Wei 001; Pei Wang (AAAI, 2024)

CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification. - Kaitao Chen; Shiliang Sun; Jing Zhao 015 (AAAI, 2024)

CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series. - Junxin Lu; Shiliang Sun (ICML, 2024)

Deconfounded multi-organ weakly-supervised semantic segmentation via causal intervention. - Kaitao Chen; Shiliang Sun; Youtian Du (Inf. Fusion, 2024)

Enhancing multi-modal fusion in visual dialog via sample debiasing and feature interaction. - Chenyu Lu; Jun Yin 003; Hao Yang; Shiliang Sun (Inf. Fusion, 2024)

Reward-free offline reinforcement learning: Optimizing behavior policy via action exploration. - Zhenbo Huang; Shiliang Sun; Jing Zhao 015 (Knowl. Based Syst., 2024)

PAMK: Prototype Augmented Multi-Teacher Knowledge Transfer Network for Continual Zero-Shot Learning. - Junxin Lu; Shiliang Sun (IEEE Trans. Image Process., 2024)

VirPNet: A Multimodal Virtual Point Generation Network for 3D Object Detection. - Lin Wang 053; Shiliang Sun; Jing Zhao 015 (IEEE Trans. Multim., 2024)

Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors. - Shiliang Sun; Nan Zhang 014 (IEEE Trans. Neural Networks Learn. Syst., 2024)

HWLane: HW-Transformer for Lane Detection. - Jing Zhao 015; Zengyu Qiu; Huiqin Hu; Shiliang Sun (IEEE Trans. Intell. Transp. Syst., 2024)

Efficient Multiview Representation Learning With Correntropy and Anchor Graph. - Nan Zhang 014; Xiaoqin Zhang 002; Shiliang Sun (IEEE Trans. Knowl. Data Eng., 2024)

A Lightweight Multi-Grained Image-Text Retrieval Paradigm via Cascaded Representation Learning and Parameter-Free Feature Aggregation. - Chenyu Lu; Nan Zhang 014; Shiliang Sun (IEEE Trans. Circuits Syst. Video Technol., 2024)

Partial Multiview Representation Learning With Cross-View Generation. - Wenbo Dong; Shiliang Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Zero-Shot Human-Object Interaction Detection via Similarity Propagation. - Daoming Zong; Shiliang Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multimodal Machine Translation with Text-Image In-depth Questioning. - Yue Gao; Jing Zhao; Shiliang Sun; Xiaosong Qiao; Tengfei Song; Hao Yang (ACL (Findings), 2025)

Hallucinations of large multimodal models: Problem and countermeasures. - Shiliang Sun; Zhilin Lin; Xuhan Wu (Inf. Fusion, 2025)

Multiple instance learning with hierarchical discrimination and smoothing attention for histopathological diagnosis. - Jing Zhao 015; Zhikang Zhao; Xueru Song; Shiliang Sun (Appl. Intell., 2025)

Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models. - Zhanglin Wu; Tengfei Song; Ning Xie; Mengli Zhu; Weidong Zhang; Shuang Wu; Pengfei Li; Chong Li; Junhao Zhu; Hao Yang 006; Shiliang Sun (CoRR, 2025)

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation. - Zhuang Yu; Shiliang Sun; Jing Zhao; Tengfei Song; Hao Yang (CoRR, 2025)

Multi-view representation for pathological image classification via contrastive learning. - Kaitao Chen; Shiliang Sun; Jing Zhao 015; Feng Wang; Qingjiu Zhang (Int. J. Mach. Learn. Cybern., 2025)

Multimodal Machine Translation with Visual Scene Graph Pruning. - Chenyu Lu; Shiliang Sun; Jing Zhao 015; Nan Zhang 014; Tengfei Song; Hao Yang 006 (CoRR, 2025)

Few-Shot Knowledge Graph Completion With Star and Ring Topology Information Aggregation. - Jing Zhao 015; Xinzhu Zhang; Yujia Li; Shiliang Sun (IEEE Trans. Knowl. Data Eng., 2025)

Revealing the Challenges of Sim-to-Real Transfer in Model-Based Reinforcement Learning via Latent Space Modeling. - Zhilin Lin; Shiliang Sun (CoRR, 2025)

De-Pessimism Offline Reinforcement Learning via Value Compensation. - Zhenbo Huang; Jing Zhao 015; Shiliang Sun (IEEE Trans. Neural Networks Learn. Syst., 2025)

Incomplete Multi-View Clustering via Multi-Level Contrastive Learning. - Jun Yin 003; Pei Wang; Shiliang Sun; Zhonglong Zheng (IEEE Trans. Knowl. Data Eng., 2025)