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Yuhua Li

Huazhong University of Science and Technology, School of Computer Science, and Technology, Wuhan, China

30 papers at tracked venues · 28 at CORE A* · active 2024–2026

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Venues

ICML ×8NeurIPS ×7ACL ×3ACM MM ×3AAAI ×2CVPR ×2WWW ×2ECAI ×1ICCV ×1IJCAI ×1

Frequent coauthors

Shiwei Li
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Jintao Tong
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Yixiong Zou
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Zhenyu Zhang
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Xiaoquan Yi
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Shuai Yi
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Heyu Huang
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Hao Wu
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You Li
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Ran Ma
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Yongwei Jiang
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Yuhan Liu
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Papers

  1. Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
    AAAI 2026 ·
    Zhenyu Zhang
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  2. EchoMLLM: Incentivizing Echocardiographic Video Understanding with Keyframe Grounding and Report Generation
    ACL 2026 ·
    Heyu Huang
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  3. Language-Guided Game-Theoretic Fairness in Web-Enabled Energy Networks
    WWW 2026 ·
    Hao Wu
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  4. UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions
    ACL 2026 ·
    Xiaoquan Yi
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  5. Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
    ICML 2025 ·
    Jintao Tong
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  6. Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
    NeurIPS 2025 ·
    Shiwei Li
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  7. Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
    ICML 2025 ·
    Shiwei Li
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  8. ChatbotID: Identifying Chatbots with Granger Causality Test
    NeurIPS 2025 ·
    Xiaoquan Yi
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  9. FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
    NeurIPS 2025 ·
    Jintao Tong
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  10. Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models
    ACL 2025 ·
    You Li
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  11. Random Registers for Cross-Domain Few-Shot Learning
    ICML 2025 ·
    Shuai Yi
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  12. Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
    AAAI 2025 ·
    Ran Ma
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  13. Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
    ICML 2025 ·
    Shuai Yi
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  14. Revisiting Pool-Based Prompt Learning for Few-Shot Class-Incremental Learning
    ICCV 2025 ·
    Yongwei Jiang
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  15. Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
    ICML 2025 ·
    Jintao Tong
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  16. The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
    CVPR 2025 ·
    Yuhan Liu
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  17. The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
    ICML 2025 ·
    Shiwei Li
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  18. A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
    NeurIPS 2024 ·
    Yixiong Zou
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  19. Adversarial Attack for Explanation Robustness of Rationalization Models
    ECAI 2024 ·
    Yuankai Zhang
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  20. Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
    NeurIPS 2024 ·
    Yixiong Zou
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  21. Compositional Few-Shot Class-Incremental Learning
    ICML 2024 ·
    Yixiong Zou
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  22. Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
    IJCAI 2024 ·
    Haichen Zhou
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  23. FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
    ICML 2024 ·
    Shiwei Li
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  24. Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
    CVPR 2024 ·
    Yixiong Zou
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  25. Generate Universal Adversarial Perturbations for Few-Shot Learning
    NeurIPS 2024 ·
    Yiman Hu
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  26. Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition
    ACM MM 2024 ·
    Zhenyu Zhang
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  27. Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
    NeurIPS 2024 ·
    Jintao Tong
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  28. MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
    ACM MM 2024 ·
    Zhenyu Zhang
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  29. Masked Graph Autoencoder with Non-discrete Bandwidths
    WWW 2024 ·
    Ziwen Zhao
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  30. Masked Random Noise for Communication-Efficient Federated Learning
    ACM MM 2024 ·
    Shiwei Li
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