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Lei Feng

Southeast University, School of Computer Science and Engineering, Nanjing, China

41 papers at tracked venues · 36 at CORE A* · active 2024–2026

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Venues

ICML ×14ICLR ×7AAAI ×4CVPR ×4NeurIPS ×4AISTATS ×2IJCAI ×2SIGKDD ×2ACL ×1EMNLP ×1

Frequent coauthors

Chengyi Cai
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Suqin Yuan
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Shuo He
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Shengjie Zhou
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Yuzhou Cao
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Qi Wei
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Zixi Wei
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Wentao Ye
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Zhifang Zhang
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Penghui Yang
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Jincheng Huang
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Xin Cheng
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Papers

  1. An Invariant Latent Space Perspective on Language Model Inversion
    AAAI 2026 ·
    Wentao Ye
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  2. A Closer Look at Backdoor Attacks on CLIP
    ICML 2025 ·
    Shuo He
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  3. Attribute-based Visual Reprogramming for Vision-Language Models
    ICLR 2025 ·
    Chengyi Cai
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  4. Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
    NeurIPS 2025 ·
    Zhifang Zhang
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  5. Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head
    SIGKDD 2025 ·
    Penghui Yang
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  6. Endowing Visual Reprogramming with Adversarial Robustness
    ICLR 2025 ·
    Shengjie Zhou
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  7. Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
    NeurIPS 2025 ·
    Suqin Yuan
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  8. Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
    ICML 2025 ·
    Jincheng Huang
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  9. Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel-Young Losses
    NeurIPS 2025 ·
    Yuzhou Cao
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  10. Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models
    ICML 2025 ·
    Xin Cheng
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  11. Improving Generalization of Deep Neural Networks by Optimum Shifting
    AAAI 2025 ·
    Yuyan Zhou
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  12. Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack
    AAAI 2025 ·
    Qi Wei
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  13. Instance-dependent Early Stopping
    ICLR 2025 ·
    Suqin Yuan
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  14. Prototype-based Optimal Transport for Out-of-Distribution Detection
    IJCAI 2025 ·
    Ao Ke
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  15. Representation Surgery in Model Merging with Probabilistic Modeling
    ICML 2025 ·
    Qi Wei
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  16. Rethinking Chain-of-Thought from the Perspective of Self-Training
    ICML 2025 ·
    Zongqian Wu
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  17. Test-Time Multimodal Backdoor Detection by Contrastive Prompting
    ICML 2025 ·
    Yuwei Niu
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  18. Towards Reverse Engineering of Language Models: A Survey
    EMNLP 2025 ·
    Xinpeng Ti
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  19. Towards Robust Incremental Learning Under Ambiguous Supervision
    IJCAI 2025 ·
    Rui Wang
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  20. Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
    ICML 2025 ·
    Chengyi Cai
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  21. A General Framework for Learning from Weak Supervision
    ICML 2024 ·
    Hao Chen
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  22. Bayesian-guided Label Mapping for Visual Reprogramming
    NeurIPS 2024 ·
    Chengyi Cai
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  23. Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
    ICLR 2024 ·
    Shuo He
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  24. Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
    ICML 2024 ·
    Jiahan Zhang
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  25. Consistent Hierarchical Classification with A Generalized Metric
    AISTATS 2024 ·
    Yuzhou Cao
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  26. Consistent Multi-Class Classification from Multiple Unlabeled Datasets
    ICLR 2024 ·
    Zixi Wei
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  27. CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
    CVPR 2024 ·
    Shiyu Tian
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  28. Early Stopping Against Label Noise Without Validation Data
    ICLR 2024 ·
    Suqin Yuan
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  29. Exploiting Human-AI Dependence for Learning to Defer
    ICML 2024 ·
    Zixi Wei
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  30. Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
    CVPR 2024 ·
    Jie Xu
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  31. Learning Geometry-Aware Representations for New Intent Discovery
    ACL 2024 ·
    Kai Tang
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  32. MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading
    SIGKDD 2024 ·
    Chuqiao Zong
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  33. Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
    ICML 2024 ·
    Zhenlong Liu
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  34. Mitigating Underfitting in Learning to Defer with Consistent Losses
    AISTATS 2024 ·
    Shuqi Liu
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  35. On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
    ICLR 2024 ·
    Shengjie Zhou
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  36. Positive and Unlabeled Learning with Controlled Probability Boundary Fence
    ICML 2024 ·
    Changchun Li
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  37. Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
    CVPR 2024 ·
    Lin Long
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  38. Robust Node Classification on Graph Data with Graph and Label Noise
    AAAI 2024 ·
    Yonghua Zhu
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  39. Sample-specific Masks for Visual Reprogramming-based Prompting
    ICML 2024 ·
    Chengyi Cai
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  40. Targeted Representation Alignment for Open-World Semi-Supervised Learning
    CVPR 2024 ·
    Ruixuan Xiao
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  41. Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
    ICML 2024 ·
    Jinhao Li
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