Revisiting Gaussian Process Dynamical Models. - Jing Zhao 015; Shiliang Sun (IJCAI, 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 for Academic Early Warning Based on Gaussian Processes. - Min Yin; Jing Zhao 015; Shiliang Sun (IDEAL, 2016)

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

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

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)

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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

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)

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

Knowledge enhanced zero-resource machine translation using image-pivoting. - Ping Huang; Jing Zhao 015; Shilinag Sun; Yichu Lin (Appl. Intell., 2023)

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

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

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

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

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

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

Taming vision transformers for clinical laryngoscopy assessment. - Xinzhu Zhang; Jing Zhao 015; Daoming Zong; Henglei Ren; Chunli Gao (J. Biomed. Informatics, 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)

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)

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