| 2026 | AAAI | Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models. | Haodong Li, Lianyong Qi, Weiming Liu, Fan Wang, Chong Li, Shengye Pang, Wenwen Gong, Yanwei Xu, Xiaoxiao Chi, Yang Zhang, Xiaokang Zhou |
| 2026 | AAAI | Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation. | Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Xuhui Fan, Qiang Ni, Xuyun Zhang, Yang Zhang, Yuan Tian, Amin Beheshti |
| 2026 | AAAI | Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm. | Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen |
| 2026 | AAAI | IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction. | Weiyi Zhong, Weiming Liu, Lianyong Qi, Xiaoran Zhao, Xiaolong Xu, Haolong Xiang, Yang Cao, Shichao Pei, Qiang Ni |
| 2026 | WWW | Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation. | Jianye Xie, Lianyong Qi, Weiming Liu, Anqi Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wenwen Gong, Yang Zhang, Amin Beheshti, Wanchun Dou |
| 2026 | SIGIR | Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation. | Yuwen Liu, Lianyong Qi, Xucheng Zhou, Xingyuan Mao, Weiming Liu, Shuang Wang, Xiaolong Xu, Haolong Xiang, Xuyun Zhang, Wanchun Dou |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | CVPR | Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. | Hua Yu, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang |
| 2025 | CVPR | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. | Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Yang Wei, Haobo Fu |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2025 | KDD | Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation. | Jiajie Su, Chaochao Chen, Weiming Liu, Yuhang Wang, Yihao Wang, Zheqi Lv, Xiaolin Zheng, Jianwei Yin |
| 2025 | WWW | Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. | Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang |
| 2025 | WWW | Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation. | Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Fan Wang, Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Xiaokang Zhou, Amin Beheshti |
| 2025 | SIGIR | Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng |
| 2025 | UAI | 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 |
| 2025 | WSDM | FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | CVPR | 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 |
| 2024 | ICDE | Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. | Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang |
| 2024 | ICML | 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 |
| 2024 | IJCAI | 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 |
| 2024 | IJCAI | 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 |
| 2024 | KDD | CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. | Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng |
| 2024 | WWW | User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang |
| 2024 | WWW | GraphSAGE-based POI Recommendation via Continuous-Time Modeling. | Yuwen Liu, Lianyong Qi, Weiming Liu, Xiaolong Xu, Xuyun Zhang, Wanchun Dou |
| 2024 | WWW | Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. | Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang |
| 2024 | SIGIR | Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. | Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng |
| 2023 | AAAI | PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. | Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen |
| 2023 | ACL | Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. | Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao |
| 2023 | ICDM | Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. | Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang |
| 2023 | ICML | Opponent-Limited Online Search for Imperfect Information Games. | Weiming Liu, Haobo Fu, Qiang Fu, Wei Yang |
| 2023 | IJCAI | 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 |
| 2023 | IJCAI | 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 |
| 2023 | WWW | Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. | Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan |
| 2023 | WWW | Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. | Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu |
| 2022 | CIKM | Partial Relaxed Optimal Transport for Denoised Recommendation. | Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng |
| 2022 | ICLR | 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, Wei Yang |
| 2022 | ICML | Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent. | Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li |
| 2022 | ICML | 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 |
| 2022 | IJCAI | HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. | Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng |
| 2022 | PRICAI | Faster Optimistic Online Mirror Descent for Extensive-Form Games. | Huacong Jiang, Weiming Liu, Bin Li |
| 2022 | WWW | Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen |
| 2022 | SIGIR | Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen |
| 2022 | SIGIR | MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. | Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng |
| 2020 | IECON | Trajectory Tracking Control for Wheeled Mobile Robots Based on a Cascaded System Control Method. | Weiming Liu, Xiangyu Wang, Shengyi Liang |
| 2019 | CEC | Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. | Weiming Liu, Yinda Zhou, Bin Li, Ke Tang |
| 2017 | IJCAI | On Redundant Topological Constraints (Extended Abstract). | Sanjiang Li, Zhiguo Long, Weiming Liu, Matt Duckham, Alan Both |
| 2016 | GECCO | Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature Analysis. | Chengshan Pang, Mang Wang, Weiming Liu, Bin Li |
| 2014 | KR | On Redundant Topological Constraints. | Matt Duckham, Sanjiang Li, Weiming Liu, Zhiguo Long |
| 2012 | CP | Solving Minimal Constraint Networks in Qualitative Spatial and Temporal Reasoning. | Weiming Liu, Sanjiang Li |
| 2012 | ECAI | Here, There, but Not Everywhere: An Extended Framework for Qualitative Constraint Satisfaction. | Weiming Liu, Sanjiang Li |
| 2011 | CP | Solving Qualitative Constraints Involving Landmarks. | Weiming Liu, Sheng-Sheng Wang, Sanjiang Li, Dayou Liu |
| 2010 | AAAI | Topological Relations between Convex Regions. | Sanjiang Li, Weiming Liu |
| 2009 | IJCAI | Combining RCC-8 with Qualitative Direction Calculi: Algorithms and Complexity. | Weiming Liu, Sanjiang Li, Jochen Renz |
| 2008 | AAAI | Reasoning with Cardinal Directions: An Efficient Algorithm. | Xiaotong Zhang, Weiming Liu, Sanjiang Li, Mingsheng Ying |
| 2006 | SMC | Research on Automatic Incident Detection Algorithm Based on Fusion of Freeway Mainline Information and Toll Collection information. | Xiangyuan Yin, Weiming Liu, Liping Guan |
| 2005 | CVPR | Active Contours Using a Constraint-Based Implicit Representation. | Bryan S. Morse, Weiming Liu, Terry S. Yoo, Kalpathi R. Subramanian |
| 2005 | ICITA | Automatic Vehicle Classification Instrument Based on Multiple Sensor Information Fusion. | Weiming Liu, Xueping Zhao, Jingfang Xiao, Youlong Wu |
| 2005 | SIGGRAPH | Active contours using a constraint-based implicit representation. | Bryan S. Morse, Weiming Liu, Terry S. Yoo, Kalpathi R. Subramanian |