← Authors

Weiming Liu

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

Achievements

🌍 Conference Polyglot (9) πŸƒ Academic Marathon (8) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸ† Grand Slam 🀝 Dynamic Duo (16) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (36) πŸ—ƒοΈ 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