Weiming Liu

Bypassing the Transport Plan: Dynamic Reweighting for Out-of-Distribution Detection with Optimal Transport CVPR 2026 Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation AAAI 2026 IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction AAAI 2026 Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm AAAI 2026 Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models AAAI 2026 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation IJCAI 2025 Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis CVPR 2025 Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment CVPR 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization ICML 2025 Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation AAAI 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025 FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models ICML 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices ICML 2025 Robustifying Zero-Shot Vision Language Models by Subspaces Alignment ICCV 2025 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation UAI 2025 Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation IJCAI 2025 Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation IJCAI 2024 Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 2024 FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection NeurIPS 2024 Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation ICML 2024 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024 TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering NeurIPS 2024 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023 Opponent-Limited Online Search for Imperfect Information Games ICML 2023 Optimal Transport for Treatment Effect Estimation NeurIPS 2023 Policy Space Diversity for Non-Transitive Games NeurIPS 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023 Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering ACL 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition NeurIPS 2023 WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding NeurIPS 2023 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022 Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent ICML 2022 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation IJCAI 2022 Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation NeurIPS 2021 On Redundant Topological Constraints (Extended Abstract) IJCAI 2017