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Weiming Liu

Zhejiang University, College of Computer Science, Hangzhou, China

41 papers at tracked venues · 36 at CORE A* · active 2024–2026

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Venues

AAAI ×9WWW ×6ACM MM ×4ICML ×4IJCAI ×4CVPR ×3NeurIPS ×3SIGIR ×3SIGKDD ×2ICCV ×1ICDE ×1WSDM ×1

Frequent coauthors

Yuwen Liu
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Jiajie Su
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Xinting Liao
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Pengyang Zhou
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Haodong Li
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Te Song
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Fan Wang
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Hua Yu
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Junhao Dong
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Yanchao Tan
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Jun Dan
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Weiyi Zhong
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Papers

  1. Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation
    SIGIR 2026 ·
    Yuwen Liu
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  2. Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
    AAAI 2026 ·
    Yuwen Liu
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  3. IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction
    AAAI 2026 ·
    Weiyi Zhong
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  4. Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation
    WWW 2026 ·
    Jianye Xie
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  5. Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
    AAAI 2026 ·
    Jiajie Su
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  6. Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models
    AAAI 2026 ·
    Haodong Li
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  7. Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
    IJCAI 2025 ·
    Haodong Li
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  8. Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation
    ACM MM 2025 ·
    Te Song
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  9. DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation
    AAAI 2025 ·
    Fan Wang
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  10. Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
    CVPR 2025 ·
    Hua Yu
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  11. Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
    CVPR 2025 · Weiming Liu
  12. Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization
    ICML 2025 ·
    Xiuyuan Wang
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  13. Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
    AAAI 2025 ·
    Te Song
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  14. FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
    ICML 2025 ·
    Xinting Liao
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  15. FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning
    WSDM 2025 ·
    Pengyang Zhou
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  16. FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
    AAAI 2025 ·
    Pengyang Zhou
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  17. Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation
    WWW 2025 ·
    Yuwen Liu
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  18. Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
    ICML 2025 ·
    Junhao Dong
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  19. Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation
    SIGIR 2025 ·
    Pengyang Zhou
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  20. Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation
    WWW 2025 · Weiming Liu
  21. Joint Test-time Adaptation with Refined Pseudo-labels and Latent Score Matching
    ACM MM 2025 ·
    Yijie Yang
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  22. Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation
    SIGKDD 2025 ·
    Jiajie Su
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  23. Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
    ICCV 2025 ·
    Junhao Dong
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  24. Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization
    NeurIPS 2025 · Weiming Liu
  25. Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation
    IJCAI 2025 ·
    Yuwen Liu
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  26. CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation
    SIGKDD 2024 ·
    Fan Wang
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  27. Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation
    IJCAI 2024 ·
    Lianyong Qi
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  28. Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning
    IJCAI 2024 ·
    Zhenghong Lin
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  29. Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows
    WWW 2024 ·
    Yanchao Tan
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  30. FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
    NeurIPS 2024 ·
    Xinting Liao
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  31. GraphSAGE-based POI Recommendation via Continuous-Time Modeling
    WWW 2024 ·
    Yuwen Liu
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  32. HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment
    ACM MM 2024 ·
    Jun Dan
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  33. Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
    AAAI 2024 ·
    Zhongxuan Han
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  34. Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
    AAAI 2024 · Weiming Liu
  35. Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation
    ICDE 2024 ·
    Yanchao Tan
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  36. Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
    ICML 2024 · Weiming Liu
  37. Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
    CVPR 2024 ·
    Xinting Liao
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  38. Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport
    SIGIR 2024 ·
    Jiajie Su
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  39. TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
    NeurIPS 2024 ·
    Jun Dan
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  40. Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis
    ACM MM 2024 ·
    Hua Yu
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  41. User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation
    WWW 2024 · Weiming Liu