| 2026 | AAAI | Temporal and Spatial Representation Learning for Multimodal Low-Beam 3D Object Detection. | Lin Wang, Shiliang Sun, Jing Zhao |
| 2025 | ACL | Multimodal Machine Translation with Text-Image In-depth Questioning. | Yue Gao, Jing Zhao, Shiliang Sun, Xiaosong Qiao, Tengfei Song, Hao Yang |
| 2025 | EMNLP | Imagination and Contemplation: A Balanced Framework for Semantic-Augmented Multimodal Machine Translation. | Zhuang Yu, Shiliang Sun, Jing Zhao, Tengfei Song, Hao Yang |
| 2025 | EMNLP | VQA-Augmented Machine Translation with Cross-Modal Contrastive Learning. | Zhihui Zhang, Shiliang Sun, Jing Zhao, Tengfei Song, Hao Yang |
| 2024 | AAAI | Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. | Jun Yin, Shiliang Sun, Lai Wei, Pei Wang |
| 2024 | AAAI | CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification. | Kaitao Chen, Shiliang Sun, Jing Zhao |
| 2024 | ICML | CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series. | Junxin Lu, Shiliang Sun |
| 2023 | AAAI | CP-Rec: Contextual Prompting for Conversational Recommender Systems. | Keyu Chen, Shiliang Sun |
| 2023 | AAAI | Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation. | Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao |
| 2023 | ICONIP | Effective Domain Adaptation for Robust Dysarthric Speech Recognition. | Shanhu Wang, Jing Zhao, Shiliang Sun |
| 2022 | AAAI | Natural Black-Box Adversarial Examples against Deep Reinforcement Learning. | Mengran Yu, Shiliang Sun |
| 2022 | IJCAI | Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation. | Tao Hu, Shiliang Sun, Jing Zhao, Dongyu Shi |
| 2022 | IJCAI | TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning. | Yujia Li, Shiliang Sun, Jing Zhao |
| 2022 | IJCNN | Multi-Modal Adversarial Example Detection with Transformer. | Chaoyue Ding, Shiliang Sun, Jing Zhao |
| 2022 | IJCNN | Robust Cross-Modal Retrieval by Adversarial Training. | Tao Zhang, Shiliang Sun, Jing Zhao |
| 2022 | IJCNN | Diverse Machine Translation with Translation Memory. | Yi Zhang, Jing Zhao, Shiliang Sun |
| 2022 | PAKDD | Safe Offline Reinforcement Learning Through Hierarchical Policies. | Shaofan Liu, Shiliang Sun |
| 2021 | AAAI | ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion. | Daoming Zong, Shiliang Sun, Jing Zhao |
| 2021 | ICASSP | Image-Assisted Transformer in Zero-Resource Multi-Modal Translation. | Ping Huang, Shiliang Sun, Hao Yang |
| 2021 | ICASSP | Multi-Task Transformer with Input Feature Reconstruction for Dysarthric Speech Recognition. | Chaoyue Ding, Shiliang Sun, Jing Zhao |
| 2021 | ICASSP | A Sequential Contrastive Learning Framework for Robust Dysarthric Speech Recognition. | Lidan Wu, Daoming Zong, Shiliang Sun, Jing Zhao |
| 2021 | ICML | SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis. | Yuhan Liu, Shiliang Sun |
| 2021 | IJCNN | Resilient Abstractive Summarization Model with Adaptively Weighted Training Loss. | Shiqi Guo, Jing Zhao, Shiliang Sun |
| 2021 | IJCNN | Multi-view Defense with Adversarial Autoencoders. | Xuli Sun, Shiliang Sun |
| 2020 | AAAI | Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract). | Yueyue Hu, Shiliang Sun, Xin Xu, Jing Zhao |
| 2020 | AAAI | Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract). | Xiao Liu, Jing Zhao, Shiliang Sun |
| 2020 | EAMT | Unified Humor Detection Based on Sentence-pair Augmentation and Transfer Learning. | Minghan Wang, Hao Yang, Ying Qin, Shiliang Sun, Yao Deng |
| 2020 | ICML | Semismooth Newton Algorithm for Efficient Projections onto ℓ | Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao |
| 2020 | PAKDD | Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique. | Han Zhu, Jing Zhao, Shiliang Sun |
| 2019 | ACL | Joint Type Inference on Entities and Relations via Graph Convolutional Networks. | Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan |
| 2019 | ICONIP | A Conditional Random Fields Based Framework for Multiview Sequential Data Modeling. | Ziang Dong, Jing Zhao, Shiliang Sun |
| 2018 | EMNLP | Extracting Entities and Relations with Joint Minimum Risk Training. | Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, Kewen Wu |
| 2018 | ICONIP | Active Learning Methods with Deep Gaussian Processes. | Jingjing Fei, Jing Zhao, Shiliang Sun, Yan Liu |
| 2018 | ICONIP | Multi-view Deep Gaussian Processes. | Shiliang Sun, Qiuyang Liu |
| 2018 | ICONIP | Intelligent Educational Data Analysis with Gaussian Processes. | Jiachun Wang, Jing Zhao, Shiliang Sun, Dongyu Shi |
| 2018 | PRICAI | Multi-label Active Learning with Conditional Bernoulli Mixtures. | Junyu Chen, Shiliang Sun, Jing Zhao |
| 2018 | PRICAI | Multi-view Learning and Deep Learning for Microscopic Neuroblastoma Pathology Image Diagnosis. | Yuhan Liu, Minzhi Yin, Shiliang Sun |
| 2017 | EACL | Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network. | Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang |
| 2017 | ICNC | Variational hidden conditional random fields with beta processes. | Chen Luo, Shiliang Sun, Jing Zhao |
| 2017 | ICONIP | Educational and Non-educational Text Classification Based on Deep Gaussian Processes. | Huijuan Wang, Jing Zhao, Zeheng Tang, Shiliang Sun |
| 2017 | IJCAI | Variational Mixtures of Gaussian Processes for Classification. | Chen Luo, Shiliang Sun |
| 2017 | PAKDD | Multi-view Regularized Gaussian Processes. | Qiuyang Liu, Shiliang Sun |
| 2016 | IJCAI | Soft Margin Consistency Based Scalable Multi-View Maximum Entropy Discrimination. | Liang Mao, Shiliang Sun |
| 2016 | IDEAL | Key Course Selection for Academic Early Warning Based on Gaussian Processes. | Min Yin, Jing Zhao, Shiliang Sun |
| 2015 | ICDAR | Text detection in nature scene images using two-stage nontext filtering. | Qingqing Wang, Yue Lu, Shiliang Sun |
| 2015 | ICML | An Online Learning Algorithm for Bilinear Models. | Yuanbin Wu, Shiliang Sun |
| 2015 | IJCAI | Revisiting Gaussian Process Dynamical Models. | Jing Zhao, Shiliang Sun |
| 2015 | IJCNN | Sparse uncorrelated cross-domain feature extraction for signal classification in brain-computer interfaces. | Honglei Shi, Shiliang Sun |
| 2015 | IJCNN | Uncorrelated transferable feature extraction for signal classification in brain-computer interfaces. | Honglei Shi, Jinhua Xu, Shiliang Sun |
| 2015 | IJCNN | PAC-Bayes Analysis for Twin Support Vector Machines. | Xijiong Xie, Shiliang Sun |
| 2014 | DIS | Variational Dependent Multi-output Gaussian Process Dynamical Systems. | Jing Zhao, Shiliang Sun |
| 2014 | IJCNN | A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces. | Shiliang Sun, Jin Zhou |
| 2014 | IJCNN | Supervised Bayesian sparse coding for classification. | Jinhua Xu, Li Ding, Shiliang Sun |
| 2014 | IJCNN | Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition. | Mo Yang, Shiliang Sun |
| 2013 | ICMLC | Infinite mixtures of multivariate Gaussian processes. | Shiliang Sun |
| 2013 | ICMLC | Multi-view clustering ensembles. | Xijiong Xie, Shiliang Sun |
| 2013 | ICMLC | Single-task and multitask sparse Gaussian processes. | Jiang Zhu, Shiliang Sun |
| 2013 | IJCAI | Multi-View Maximum Entropy Discrimination. | Shiliang Sun, Guoqing Chao |
| 2012 | ICMLC | Applying a multitask feature sparsity method for the classification of semantic relations between nominals. | Guoqing Chao, Shiliang Sun |
| 2012 | ICMLC | Sequential training of semi-supervised classification based on sparse Gaussian process regression. | Rongqing Huang, Shiliang Sun |
| 2012 | ICONIP | Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination. | Guoqing Chao, Shiliang Sun |
| 2012 | ICONIP | Multitask Twin Support Vector Machines. | Xijiong Xie, Shiliang Sun |
| 2012 | ICONIP | Multi-source Transfer Learning with Multi-view Adaboost. | Zhijie Xu, Shiliang Sun |
| 2012 | ICPR | Multitask multiclass privileged information support vector machines. | You Ji, Shiliang Sun, Yue Lu |
| 2012 | ICPR | Dynamical ensemble learning with model-friendly classifiers for domain adaptation. | Wenting Tu, Shiliang Sun |
| 2011 | ADMA | Multi-view Laplacian Support Vector Machines. | Shiliang Sun |
| 2011 | ICDM | Multitask Multiclass Support Vector Machines. | You Ji, Shiliang Sun |
| 2011 | IJCNN | Semi-supervised feature extraction with local temporal regularization for EEG classification. | Wenting Tu, Shiliang Sun |
| 2011 | ICTAI | Transferable Discriminative Dimensionality Reduction. | Wenting Tu, Shiliang Sun |
| 2011 | ICTAI | Multi-view Transfer Learning with Adaboost. | Zhijie Xu, Shiliang Sun |
| 2011 | ISNN | Network-Scale Traffic Modeling and Forecasting with Graphical Lasso. | Ya Gao, Shiliang Sun, Dongyu Shi |
| 2011 | ISNN | Sparse Kernel Regression for Traffic Flow Forecasting. | Rongqing Huang, Shiliang Sun, Yan Liu |
| 2011 | ISNN | Off-line Signature Verification Based on Multitask Learning. | You Ji, Shiliang Sun, Jian Jin |
| 2011 | ISNN | View Construction for Multi-view Semi-supervised Learning. | Shiliang Sun, Feng Jin, Wenting Tu |
| 2011 | ISNN | Part-Based Transfer Learning. | Zhijie Xu, Shiliang Sun |
| 2010 | ADMA | Spatial Filter Selection with LASSO for EEG Classification. | Wenting Tu, Shiliang Sun |
| 2010 | ADMA | A Centroid | Qingjiu Zhang, Shiliang Sun |
| 2010 | ICNC | Multi-link traffic flow forecasting using neural networks. | Ya Gao, Shiliang Sun |
| 2010 | ICNC | Feature selection for ensembles using Non-dominated Sorting in Genetic Algorithms. | You Ji, Shiliang Sun |
| 2010 | ICONIP | Importance Weighted Extreme Energy Ratio for EEG Classification. | Wenting Tu, Shiliang Sun |
| 2010 | ICONIP | An Algorithm on Multi-View Adaboost. | Zhijie Xu, Shiliang Sun |
| 2010 | ICPR | Hierarchical Large Margin Nearest Neighbor Classification. | Qiaona Chen, Shiliang Sun |
| 2010 | ICPR | Nonlinear Combination of Multiple Kernels for Support Vector Machines. | Jinbo Li, Shiliang Sun |
| 2010 | ICPR | A Visual Attention Based Approach to Text Extraction. | Qiaoyu Sun, Yue Lu, Shiliang Sun |
| 2010 | IJCNN | Evolutionary classifier ensembles for semi-supervised learning. | Qingjiu Zhang, Shiliang Sun |
| 2009 | ADMA | A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals. | Shiliang Sun, Jinbo Li |
| 2009 | GECCO | Traffic flow forecasting based on multitask ensemble learning. | Shiliang Sun |
| 2009 | ICONIP | Hierarchical Multi-view Fisher Discriminant Analysis. | Qiaona Chen, Shiliang Sun |
| 2009 | ICONIP | Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification. | Qingjiu Zhang, Shiliang Sun |
| 2009 | ISNN | Weighting Individual Classifiers by Local Within-Class Accuracies. | Shiliang Sun |
| 2009 | ISNN | Ensembles of Feature Subspaces for Object Detection. | Shiliang Sun |
| 2008 | HIS | High Reliable Multi-View Semi-Supervised Learning with Extremely Sparse Labeled Data. | Shiliang Sun |
| 2008 | ICANN | The Extreme Energy Ratio Criterion for EEG Feature Extraction. | Shiliang Sun |
| 2008 | ICASSP | Classifying EEG signals in Fisher discriminant spaces by random electrode selection. | Shiliang Sun |
| 2008 | ICASSP | Adaptive EEG signal classification using stochastic approximation methods. | Shiliang Sun, Man Lan, Yue Lu |
| 2008 | ICDM | Semantic Features for Multi-view Semi-supervised and Active Learning of Text Classification. | Shiliang Sun |
| 2008 | ICPR | Multitask learning for EEG-based biometrics. | Shiliang Sun |
| 2008 | IJCNN | Neural network multitask learning for traffic flow forecasting. | Feng Jin, Shiliang Sun |
| 2008 | IJCNN | Energy feature extraction of EEG signals and a case study. | Jinbo Li, Shiliang Sun |
| 2008 | IDEAL | A Multitask Learning Approach to Face Recognition Based on Neural Networks. | Feng Jin, Shiliang Sun |
| 2008 | IDEAL | A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction. | Shiliang Sun |
| 2008 | IDEAL | Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting. | Shiliang Sun, Qiaona Chen |
| 2005 | DIS | Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces. | Shiliang Sun, Changshui Zhang |
| 2005 | ICANN | Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor. | Shiliang Sun, Changshui Zhang, Yi Zhang |
| 2005 | ICASSP | Assessing features for electroencephalographic signal categorization. | Shiliang Sun, Changshui Zhang |
| 2005 | ICNC | Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting. | Shiliang Sun, Changshui Zhang |
| 2004 | ISNN | Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data. | Changshui Zhang, Shiliang Sun, Guoqiang Yu |