Liu, Weiming

41 publications

IJCAI 2025 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation Haodong Li, Lianyong Qi, Weiming Liu, Xiaolong Xu, Wanchun Dou, Yang Cao, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou

AAAI 2025 DR-VAE: Debiased and Representation-Enhanced Variational Autoencoder for Collaborative Recommendation Fan Wang, Chaochao Chen, Weiming Liu, Minye Lei, Jintao Chen, Yuwen Liu, Xiaolin Zheng, Jianwei Yin

CVPR 2025 Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Yu Hua, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang

CVPR 2025 Distinguish Then Exploit: Source-Free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi

ICLR 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Kong Hansheng, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Yang Wei, Haobo Fu

ICML 2025 Efficient Source-Free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization Xiuyuan Wang, Chaochao Chen, Weiming Liu, Xinting Liao, Fan Wang, Xiaolin Zheng

AAAI 2025 Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation Te Song, Lianyong Qi, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou, Wanchun Dou

ICML 2025 FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua

AAAI 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng

ICML 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-Form Alignment of Adversarial Path Simplices Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong

ICCV 2025 Robustifying Zero-Shot Vision Language Models by Subspaces Alignment Junhao Dong, Piotr Koniusz, Liaoyuan Feng, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong

NeurIPS 2025 Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization Weiming Liu, Xinting Liao, Jun Dan, Fan Wang, Hua Yu, Junhao Dong, Shunjie Dong, Lianyong Qi, Yew-Soon Ong

UAI 2025 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation Canzhe Zhao, Shuze Chen, Weiming Liu, Haobo Fu, Qiang Fu, Shuai Li

IJCAI 2025 Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Shichao Pei, Fan Wang, Xuyun Zhang, Amin Beheshti, Xiaokang Zhou

IJCAI 2024 Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu, Xuyun Zhang, Yingjie Wang, Wanchun Dou

IJCAI 2024 Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan

NeurIPS 2024 FOOGD: Federated Collaboration for Both Out-of-Distribution Generalization and Detection Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng

AAAI 2024 Intra- and Inter-Group Optimal Transport for User-Oriented Fairness in Recommender Systems Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin

AAAI 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong

ICML 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong

CVPR 2024 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan

NeurIPS 2024 TFGDA: Exploring Topology and Feature Alignment in Semi-Supervised Graph Domain Adaptation Through Robust Clustering Jun Dan, Weiming Liu, Chunfeng Xie, Hua Yu, Shunjie Dong, Yanchao Tan

IJCAI 2023 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng

IJCAI 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi

ICML 2023 Opponent-Limited Online Search for Imperfect Information Games Weiming Liu, Haobo Fu, Qiang Fu, Yang Wei

NeurIPS 2023 Optimal Transport for Treatment Effect Estimation Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang

AAAI 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen

NeurIPS 2023 Policy Space Diversity for Non-Transitive Games Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang

NeurIPS 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang

NeurIPS 2023 WalkLM: A Uniform Language Model Fine-Tuning Framework for Attributed Graph Embedding Yanchao Tan, Zihao Zhou, Hang Lv, Weiming Liu, Carl Yang

ICLR 2022 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Yang Wei

ICML 2022 Equivalence Analysis Between Counterfactual Regret Minimization and Online Mirror Descent Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li

ICML 2022 Greedy When Sure and Conservative When Uncertain About the Opponents Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang

IJCAI 2022 HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng

NeurIPS 2021 Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng

IJCAI 2017 On Redundant Topological Constraints (Extended Abstract) Sanjiang Li, Zhiguo Long, Weiming Liu, Matt Duckham, Alan Both

JAIR 2014 Reasoning About Topological and Cardinal Direction Relations Between 2-Dimensional Spatial Objects Anthony G. Cohn, Sanjiang Li, Weiming Liu, Jochen Renz

AAAI 2010 Topological Relations Between Convex Regions Sanjiang Li, Weiming Liu

IJCAI 2009 Combining RCC-8 with Qualitative Direction Calculi: Algorithms and Complexity Weiming Liu, Sanjiang Li, Jochen Renz

AAAI 2008 Reasoning with Cardinal Directions: An Efficient Algorithm Xiaotong Zhang, Weiming Liu, Sanjiang Li, Mingsheng Ying

CVPR 2005 Active Contours Using a Constraint-Based Implicit Representation Bryan S. Morse, Weiming Liu, Terry S. Yoo, Kalpathi R. Subramanian