Weiming Liu

40 papers · 2017–2026 · 9 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🌍 Conference Polyglot (9)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird 🏆 Grand Slam 🤝 Dynamic Duo (16) 🔥 Unstoppable (5) 💎 Century Club (36) 🗃️ Keyword Collector (153) ⚡ Prolific Year (8)

Conferences

AAAI (10) IJCAI (8) ICML (7) NIPS (7) CVPR (3) ICLR (2) ACL (1) ICCV (1) UAI (1)

Top co-authors

Chaochao Chen (17) Xiaolin Zheng (15) Xinting Liao (13) Fan Wang (10) Yanchao Tan (8) Lianyong Qi (8) Qiang Fu (6) Haobo Fu (6) Pengyang Zhou (5) Xuyun Zhang (5)

Keywords

optimal transport (7) representation learning (7) federated learning (6) sequential recommendation (4) graph neural network (4) recommender system (4) cross-domain recommendation (4) domain adaptation (3) recommendation system (3) variational graph auto-encoder (2) non-iid datum (2) feature alignment (2) neural ordinary differential equation (2) opponent modeling (2) knowledge transfer (2) collaborative filtering (2) nash equilibrium (2) contrastive learning (2) multi-agent learning (2) policy optimization (1)

Papers

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