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Chaochao Chen

Zhejiang University, Hangzhou, China

43 papers at tracked venues · 37 at CORE A* · active 2024–2026

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Venues

AAAI ×10WWW ×7NeurIPS ×5ICML ×4SIGIR ×4SIGKDD ×3CIKM ×2IJCAI ×2ACM MM ×1CVPR ×1EMNLP ×1ICDE ×1ICLR ×1WSDM ×1

Frequent coauthors

Pengyang Zhou
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Weiming Liu
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Jiajie Su
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Xiaohua Feng
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Xinting Liao
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Rui Ou
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Fengyuan Yu
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Li Zhang
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Fan Wang
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Heyuan Huang
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Zhongxuan Han
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Yuyuan Li
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Papers

  1. FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training
    AAAI 2026 ·
    Yuyuan Li
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  2. LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation
    WWW 2026 ·
    Pengyang Zhou
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  3. Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
    AAAI 2026 ·
    Jiajie Su
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  4. STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay
    WWW 2026 ·
    Rui Ou
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  5. Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation
    WWW 2026 ·
    Fengyuan Yu
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  6. TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
    AAAI 2026 ·
    Li Zhang
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  7. Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
    WWW 2026 ·
    Jiaming Zhang
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  8. Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning
    AAAI 2026 ·
    Rui Ou
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  9. Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization
    ICLR 2025 ·
    Xiaohua Feng
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  10. DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation
    AAAI 2025 ·
    Fan Wang
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  11. Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization
    ICML 2025 ·
    Xiuyuan Wang
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  12. FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
    ICML 2025 ·
    Xinting Liao
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  13. FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning
    WSDM 2025 ·
    Pengyang Zhou
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  14. FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
    AAAI 2025 ·
    Pengyang Zhou
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  15. Heterogeneous Temporal Hypergraph Neural Network
    IJCAI 2025 ·
    Huan Liu
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  16. Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation
    SIGIR 2025 ·
    Pengyang Zhou
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  17. Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation
    WWW 2025 ·
    Weiming Liu
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  18. LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems
    ACM MM 2025 ·
    Fengyuan Yu
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  19. LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
    AAAI 2025 ·
    Li Zhang
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  20. Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation
    SIGKDD 2025 ·
    Jiajie Su
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  21. Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype
    CIKM 2025 ·
    Jiaming Qian
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  22. Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems
    WWW 2025 ·
    Xiaohua Feng
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  23. Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
    AAAI 2025 ·
    Yihao Wang
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  24. Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training
    SIGKDD 2025 ·
    Huabin Zhu
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  25. Training-free Periodic Interest Augmentation in Incremental Recommendation
    SIGIR 2025 ·
    Heyuan Huang
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  26. UMU-Bench: Closing the Modality Gap in Multimodal Unlearning Evaluation
    NeurIPS 2025 ·
    Chengye Wang
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  27. CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation
    SIGKDD 2024 ·
    Fan Wang
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  28. CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
    NeurIPS 2024 · Chaochao Chen
  29. DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation
    CIKM 2024 ·
    Heyuan Huang
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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. Federated Graph Learning for Cross-Domain Recommendation
    NeurIPS 2024 ·
    Ziqi Yang
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  32. Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models
    EMNLP 2024 ·
    Xiaohua Feng
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  33. Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems
    SIGIR 2024 ·
    Zhongxuan Han
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  34. Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
    AAAI 2024 ·
    Zhongxuan Han
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  35. Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
    AAAI 2024 ·
    Weiming Liu
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  36. Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation
    ICDE 2024 ·
    Yanchao Tan
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  37. One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment
    ICML 2024 · Chaochao Chen
  38. Protecting Split Learning by Potential Energy Loss
    IJCAI 2024 ·
    Fei Zheng
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  39. Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
    ICML 2024 ·
    Weiming Liu
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  40. Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
    CVPR 2024 ·
    Xinting Liao
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  41. Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport
    SIGIR 2024 ·
    Jiajie Su
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  42. UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
    NeurIPS 2024 ·
    Biao Gong
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  43. User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation
    WWW 2024 ·
    Weiming Liu
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