Wang, Siwei

69 publications

ICML 2025 Automatically Identify and Rectify: Robust Deep Contrastive Multi-View Clustering in Noisy Scenarios Xihong Yang, Siwei Wang, Fangdi Wang, Jiaqi Jin, Suyuan Liu, Yue Liu, En Zhu, Xinwang Liu, Yueming Jin

ICML 2025 Bifurcate Then Alienate: Incomplete Multi-View Clustering via Coupled Distribution Learning with Linear Overhead Shengju Yu, Yiu-Ming Cheung, Siwei Wang, Xinwang Liu, En Zhu

NeurIPS 2025 Bit-Swapping Oriented Twin-Memory Multi-View Clustering in Lifelong Incomplete Scenarios Shengju Yu, Pei Zhang, Siwei Wang, Suyuan Liu, Xinhang Wan, Zhibin Dong, Tiejun Li, Xinwang Liu

ICLR 2025 DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization Yi Zhang, Siwei Wang, Jiyuan Liu, Shengju Yu, Zhibin Dong, Suyuan Liu, Xinwang Liu, En Zhu

ICCV 2025 Deep Incomplete Multi-View Clustering with Distribution Dual-Consistency Recovery Guidance Jiaqi Jin, Siwei Wang, Zhibin Dong, Xihong Yang, Xinwang Liu, En Zhu, Kunlun He

CVPR 2025 EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering Baili Xiao, Zhibin Dong, Ke Liang, Suyuan Liu, Siwei Wang, Tianrui Liu, Xingchen Hu, En Zhu, Xinwang Liu

ICML 2025 Efficient Federated Incomplete Multi-View Clustering Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu

CVPR 2025 Enhanced Then Progressive Fusion with View Graph for Multi-View Clustering Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu

ICML 2025 From Spectrum-Free Towards Baseline-View-Free: Double-Track Proximity Driven Multi-View Clustering Shengju Yu, Zhibin Dong, Siwei Wang, Suyuan Liu, Ke Liang, Xinwang Liu, Yue Liu, Yi Zhang

ICCV 2025 Generalized Deep Multi-View Clustering via Causal Learning with Partially Aligned Cross-View Correspondence Xihong Yang, Siwei Wang, Jiaqi Jin, Fangdi Wang, Tianrui Liu, Yueming Jin, Xinwang Liu, En Zhu, Kunlun He

CVPR 2025 Imputation-Free and Alignment-Free: Incomplete Multi-View Clustering Driven by Consensus Semantic Learning Yuzhuo Dai, Jiaqi Jin, Zhibin Dong, Siwei Wang, Xinwang Liu, En Zhu, Xihong Yang, Xinbiao Gan, Yu Feng

AAAI 2025 Max-Mahalanobis Anchors Guidance for Multi-View Clustering Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang

NeurIPS 2025 Mechanism Design for LLM Fine-Tuning with Multiple Reward Models Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng

ICML 2025 Offline Learning for Combinatorial Multi-Armed Bandits Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

ICLR 2025 Simple yet Effective Incomplete Multi-View Clustering: Similarity-Level Imputation and Intra-View Hybrid-Group Prototype Construction Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Naiyang Guan, Tiejun Li, Yiu-ming Cheung

IJCAI 2025 Soft Reasoning Paths for Knowledge Graph Completion Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang

AAAI 2025 Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data Renxiang Guan, Wenxuan Tu, Siwei Wang, Jiyuan Liu, Dayu Hu, Chang Tang, Yu Feng, Junhong Li, Baili Xiao, Xinwang Liu

AAAI 2024 A Non-Parametric Graph Clustering Framework for Multi-View Data Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu

NeurIPS 2024 ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen

NeurIPS 2024 Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong, Tianrui Liu, En Zhu, Kunlun He, Xinwang Liu

NeurIPS 2024 Can Graph Learning Improve Planning in LLM-Based Agents? Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li

NeurIPS 2024 Clustering Then Propagation: Select Better Anchors for Knowledge Graph Embedding Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu

ICML 2024 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen

AAAI 2024 DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu

ICML 2024 Decouple Then Classify: A Dynamic Multi-View Labeling Strategy with Shared and Specific Information Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu

ICLR 2024 Deep Temporal Graph Clustering Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

NeurIPS 2024 Evaluate Then Cooperate: Shapley-Based View Cooperation Enhancement for Multi-View Clustering Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu

NeurIPS 2024 InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang

CVPR 2024 Learn from View Correlation: An Anchor Enhancement Strategy for Multi-View Clustering Suyuan Liu, Ke Liang, Zhibin Dong, Siwei Wang, Xihong Yang, Sihang Zhou, En Zhu, Xinwang Liu

AAAI 2024 MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu

NeurIPSW 2024 Mechanism Design for LLM Fine-Tuning with Multiple Reward Models Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng

JMLR 2024 Optimal Learning Policies for Differential Privacy in Multi-Armed Bandits Siwei Wang, Jun Zhu

ICML 2024 Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang

ICLR 2024 Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang

AAAI 2024 Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu

ICML 2024 Towards Resource-Friendly, Extensible and Stable Incomplete Multi-View Clustering Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu

ICLR 2024 Whittle Index with Multiple Actions and State Constraint for Inventory Management Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian

ACML 2023 Attributed Graph Subspace Clustering with Graph-Boosting Wang Li, En Zhu, Siwei Wang, Xifeng Guo

AAAI 2023 Auto-Weighted Multi-View Clustering for Large-Scale Data Xinhang Wan, Xinwang Liu, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou

AAAI 2023 Cluster-Guided Contrastive Graph Clustering Network Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang, En Zhu

ICML 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen

ICCV 2023 Cross-View Topology Based Consistent and Complementary Information for Deep Multi-View Clustering Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu

CVPR 2023 Deep Incomplete Multi-View Clustering with Cross-View Partial Sample and Prototype Alignment Jiaqi Jin, Siwei Wang, Zhibin Dong, Xinwang Liu, En Zhu

AAAI 2023 Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

AAAI 2023 Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo

ICLR 2023 Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path Yihan Du, Siwei Wang, Longbo Huang

NeurIPS 2022 Align Then Fusion: Generalized Large-Scale Multi-View Clustering with Anchor Matching Correspondences Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu

NeurIPS 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

NeurIPS 2022 Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang

AAAI 2022 Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

CVPR 2022 Highly-Efficient Incomplete Large-Scale Multi-View Clustering with Consensus Bipartite Graph Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu

NeurIPS 2022 Learning Low-Dimensional Generalizable Natural Features from Retina Using a U-Net Siwei Wang, Benjamin Hoshal, Elizabeth de Laittre, Olivier Marre, Michael J. Berry Ii, Stephanie Palmer

NeurIPS 2022 Matching in Multi-Arm Bandit with Collision YiRui Zhang, Siwei Wang, Zhixuan Fang

AAAI 2022 Robust Graph-Based Multi-View Clustering Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu

NeurIPS 2022 Stability and Generalization of Kernel Clustering: From Single Kernel to Multiple Kernel Weixuan Liang, Xinwang Liu, Yong Liu, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu

MLJ 2022 The Pure Exploration Problem with General Reward Functions Depending on Full Distributions Siwei Wang, Wei Chen

ICML 2022 Thompson Sampling for (Combinatorial) Pure Exploration Siwei Wang, Jun Zhu

AAAI 2021 A One-Size-Fits-All Solution to Conservative Bandit Problems Yihan Du, Siwei Wang, Longbo Huang

AAAI 2021 Adaptive Algorithms for Multi-Armed Bandit with Composite and Anonymous Feedback Siwei Wang, Haoyun Wang, Longbo Huang

NeurIPS 2021 Continuous Mean-Covariance Bandits Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang

AAAI 2021 Hierarchical Multiple Kernel Clustering Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang

ICCV 2021 Localized Simple Multiple Kernel K-Means Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang

ICML 2021 One Pass Late Fusion Multi-View Clustering Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu

AAAI 2020 CBNet: A Novel Composite Backbone Network Architecture for Object Detection Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling

NeurIPS 2020 Restless-UCB, an Efficient and Low-Complexity Algorithm for Online Restless Bandits Siwei Wang, Longbo Huang, John C. S. Lui

IJCAI 2019 Multi-View Clustering via Late Fusion Alignment Maximization Siwei Wang, Xinwang Liu, En Zhu, Chang Tang, Jiyuan Liu, Jingtao Hu, Jingyuan Xia, Jianping Yin

NeurIPS 2018 Multi-Armed Bandits with Compensation Siwei Wang, Longbo Huang

ICML 2018 Thompson Sampling for Combinatorial Semi-Bandits Siwei Wang, Wei Chen

ECCVW 2018 VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song