Sun, Shiliang

26 publications

AAAI 2024 CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification Kaitao Chen, Shiliang Sun, Jing Zhao

ICML 2024 CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series Junxin Lu, Shiliang Sun

AAAI 2024 Discriminatively Fuzzy Multi-View K-Means Clustering with Local Structure Preserving Jun Yin, Shiliang Sun, Lai Wei, Pei Wang

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

AAAI 2023 McOmet: Multimodal Fusion Transformer for Physical Audiovisual Commonsense Reasoning Daoming Zong, Shiliang Sun

JMLR 2023 Multi-View Collaborative Gaussian Process Dynamical Systems Shiliang Sun, Jingjing Fei, Jing Zhao, Liang Mao

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

IJCAI 2022 Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation Tao Hu, Shiliang Sun, Jing Zhao, Dongyu Shi

AAAI 2022 Natural Black-Box Adversarial Examples Against Deep Reinforcement Learning Mengran Yu, Shiliang Sun

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

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

ICML 2021 SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis Yuhan Liu, Shiliang Sun

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

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

ICML 2020 Semismooth Newton Algorithm for Efficient Projections onto $\ell_1, ∞$-Norm Ball Dejun Chu, Changshui Zhang, Shiliang Sun, Qing Tao

NeurIPS 2018 PAC-Bayes Bounds for Stable Algorithms with Instance-Dependent Priors Omar Rivasplata, Emilio Parrado-Hernandez, John S Shawe-Taylor, Shiliang Sun, Csaba Szepesvari

NeurIPS 2017 A Learning Error Analysis for Structured Prediction with Approximate Inference Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang, Xuanjing Huang

IJCAI 2017 Variational Mixtures of Gaussian Processes for Classification Chen Luo, Shiliang Sun

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

JMLR 2016 Variational Dependent Multi-Output Gaussian Process Dynamical Systems Jing Zhao, Shiliang Sun

ICML 2015 An Online Learning Algorithm for Bilinear Models Yuanbin Wu, Shiliang Sun

IJCAI 2015 Revisiting Gaussian Process Dynamical Models Jing Zhao, Shiliang Sun

IJCAI 2013 Multi-View Maximum Entropy Discrimination Shiliang Sun, Guoqing Chao

JMLR 2012 PAC-Bayes Bounds with Data Dependent Priors Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor, Shiliang Sun

JMLR 2010 Sparse Semi-Supervised Learning Using Conjugate Functions Shiliang Sun, John Shawe-Taylor

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