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Wenchao Xu

Hong Kong Polytechnic University, Department of Computing, Hong Kong

25 papers at tracked venues · 23 at CORE A* · active 2024–2026

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Venues

AAAI ×7ICML ×4NeurIPS ×4WWW ×3ECCV ×2ICLR ×2ACM MM ×1CVPR ×1SIGKDD ×1

Frequent coauthors

Fushuo Huo
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Haozhao Wang
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Yunfeng Fan
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Yichen Li
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Wenxi Lv
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Lingxiao Kong
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Yuxuan Liu
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Junhong Liu
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Peirong Zheng
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Qingqing Fang
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Xiaoquan Yi
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Jinglong Shen
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Papers

  1. Backdooring Rationalization
    AAAI 2026 ·
    Lingxiao Kong
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  2. Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs
    AAAI 2026 ·
    Yuxuan Liu
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  3. Distilling Cross-Modal Knowledge via Feature Disentanglement
    AAAI 2026 ·
    Junhong Liu
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  4. Self-Speculative Decoding for On-device MoE Acceleration
    WWW 2026 ·
    Peirong Zheng
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  5. pFedDKS: Detached Knowledge Sharing for Personalized Federated Learning
    WWW 2026 ·
    Haozhao Wang
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  6. BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
    ICML 2025 ·
    Haozhao Wang
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  7. Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
    AAAI 2025 ·
    Qingqing Fang
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  8. ChatbotID: Identifying Chatbots with Granger Causality Test
    NeurIPS 2025 ·
    Xiaoquan Yi
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  9. Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
    NeurIPS 2025 ·
    Yichen Li
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  10. LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
    NeurIPS 2025 ·
    Jinglong Shen
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  11. One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning
    ICLR 2025 ·
    Wenxi Lv
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  12. Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information
    WWW 2025 ·
    Cheng Wang
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  13. Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
    ICLR 2025 ·
    Fushuo Huo
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  14. Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
    ICML 2024 ·
    Jie Zhang
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  15. C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
    CVPR 2024 ·
    Fushuo Huo
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  16. Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
    ICML 2024 ·
    Wenxi Lv
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  17. Cross-modal Representation Flattening for Multi-modal Domain Generalization
    NeurIPS 2024 ·
    Yunfeng Fan
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  18. Detached and Interactive Multimodal Learning
    ACM MM 2024 ·
    Yunfeng Fan
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  19. FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
    ICML 2024 ·
    Shiwei Li
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  20. FedNLR: Federated Learning with Neuron-wise Learning Rates
    SIGKDD 2024 ·
    Haozhao Wang
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  21. Knowledge-Aware Parameter Coaching for Personalized Federated Learning
    AAAI 2024 ·
    Mingjian Zhi
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  22. Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
    AAAI 2024 ·
    Fushuo Huo
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  23. Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
    ECCV 2024 ·
    Yunfeng Fan
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  24. Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching
    ECCV 2024 ·
    Yichen Li
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  25. ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning
    AAAI 2024 ·
    Fushuo Huo
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