PPaperPicks

Bo Han

Hong Kong Baptist University, Department of Computer Science, Hong Kong

76 papers at tracked venues · 71 at CORE A* · active 2024–2026

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Venues

ICLR ×23NeurIPS ×21ICML ×16AAAI ×5IJCAI ×4WWW ×2ACL ×1CVPR ×1EMNLP ×1ICCV ×1ICDE ×1

Frequent coauthors

Zhanke Zhou
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Qizhou Wang
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Runqi Lin
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Muyang Li
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Haoang Chi
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Abudukelimu Wuerkaixi
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Yonggang Zhang
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Suqin Yuan
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Jun Nie
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Xiong Peng
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Chentao Cao
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Shuhai Zhang
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Papers

  1. Select Before Use: On the Importance of Reference Model Selection in Preference Alignment
    ACL 2026 ·
    Muyang Li
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  2. Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
    AAAI 2026 ·
    Linhao Huang
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  3. Trustworthy Foundation Models for Web Intelligence: Causal Perspectives and Challenges
    WWW 2026 ·
    Haoang Chi
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  4. A Lens into Interpretable Transformer Mistakes via Semantic Dependency
    ICML 2025 ·
    Ruo-Jing Dong
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  5. A Robust Method to Discover Causal or Anticausal Relation
    ICLR 2025 ·
    Yu Yao
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  6. Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
    ICML 2025 ·
    Abudukelimu Wuerkaixi
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  7. Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
    NeurIPS 2025 ·
    Chenwang Wu
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  8. Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation
    ICLR 2025 ·
    Yikun Zhang
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  9. Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract)
    ICDE 2025 ·
    Xuhui Li
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  10. Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning
    EMNLP 2025 ·
    Yunhao Gou
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  11. Detecting Generated Images by Fitting Natural Image Distributions
    NeurIPS 2025 ·
    Yonggang Zhang
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  12. Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
    AAAI 2025 ·
    Yajing Wang
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  13. Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
    NeurIPS 2025 ·
    Suqin Yuan
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  14. Epistemic Uncertainty for Generated Image Detection
    NeurIPS 2025 ·
    Jun Nie
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  15. Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
    ICML 2025 ·
    Puning Yang
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  16. Fast and Accurate Blind Flexible Docking
    ICLR 2025 ·
    Zizhuo Zhang
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  17. FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
    NeurIPS 2025 ·
    Zhiqin Yang
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  18. From Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium
    ICML 2025 ·
    Xie Yi
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  19. From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
    ICML 2025 ·
    Zhanke Zhou
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  20. GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs
    ICML 2025 ·
    Yue Wang
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  21. Generative Model Inversion Through the Lens of the Manifold Hypothesis
    NeurIPS 2025 ·
    Xiong Peng
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  22. Golden Noise for Diffusion Models: A Learning Framework
    ICCV 2025 ·
    Zikai Zhou
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  23. Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
    ICLR 2025 ·
    Lei Shen
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  24. Instance-dependent Early Stopping
    ICLR 2025 ·
    Suqin Yuan
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  25. Learning to Instruct for Visual Instruction Tuning
    NeurIPS 2025 ·
    Zhihan Zhou
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  26. Learning without Isolation: Pathway Protection for Continual Learning
    ICML 2025 ·
    Zhikang Chen
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  27. Noisy Test-Time Adaptation in Vision-Language Models
    ICLR 2025 ·
    Chentao Cao
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  28. One-shot Federated Learning Methods: A Practical Guide
    IJCAI 2025 ·
    Xiang Liu
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  29. Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
    NeurIPS 2025 ·
    Shuhai Zhang
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  30. Practical Kernel Selection for Kernel-based Conditional Independence Test
    NeurIPS 2025 ·
    Wenjie Wang
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  31. Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
    AAAI 2025 ·
    Zhipeng Zou
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  32. Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
    ICLR 2025 ·
    Qizhou Wang
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  33. Towards Effective Evaluations and Comparisons for LLM Unlearning Methods
    ICLR 2025 ·
    Qizhou Wang
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  34. Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
    ICLR 2025 ·
    Zhuo Huang
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  35. Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition
    IJCAI 2025 ·
    Hangyu Li
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  36. Trustworthy AI under Imperfect Web Data
    WWW 2025 ·
    Jiangchao Yao
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  37. Understanding and Enhancing the Transferability of Jailbreaking Attacks
    ICLR 2025 ·
    Runqi Lin
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  38. Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
    NeurIPS 2025 ·
    Chen Shu
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  39. When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
    ICML 2025 ·
    Ziming Hong
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  40. A Sober Look at the Robustness of CLIPs to Spurious Features
    NeurIPS 2024 ·
    Qizhou Wang
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  41. Accurate Forgetting for Heterogeneous Federated Continual Learning
    ICLR 2024 ·
    Abudukelimu Wuerkaixi
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  42. Balancing Similarity and Complementarity for Federated Learning
    ICML 2024 ·
    Kunda Yan
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  43. Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
    NeurIPS 2024 ·
    Zhanke Zhou
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  44. Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
    ICLR 2024 ·
    Shuhai Zhang
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  45. Discovery of the Hidden World with Large Language Models
    NeurIPS 2024 ·
    Chenxi Liu
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  46. Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
    ICLR 2024 ·
    Jiyang Zheng
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  47. Enhancing Evolving Domain Generalization through Dynamic Latent Representations
    AAAI 2024 ·
    Binghui Xie
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  48. Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
    ICLR 2024 ·
    Binghui Xie
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  49. Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
    ICLR 2024 ·
    Rong Dai
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  50. Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
    ICML 2024 ·
    Chentao Cao
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  51. FedImpro: Measuring and Improving Client Update in Federated Learning
    ICLR 2024 ·
    Zhenheng Tang
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  52. Federated Learning with Extremely Noisy Clients via Negative Distillation
    AAAI 2024 ·
    Yang Lu
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  53. Few-Shot Adversarial Prompt Learning on Vision-Language Models
    NeurIPS 2024 ·
    Yiwei Zhou
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  54. FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
    NeurIPS 2024 ·
    Zhenheng Tang
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  55. How Interpretable Are Interpretable Graph Neural Networks?
    ICML 2024 ·
    Yongqiang Chen
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  56. Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
    ICML 2024 ·
    Runqi Lin
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  57. Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
    ICLR 2024 ·
    Zhanke Zhou
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  58. MCM: Multi-condition Motion Synthesis Framework
    IJCAI 2024 ·
    Zeyu Ling
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  59. MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
    ICML 2024 ·
    Hongduan Tian
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  60. Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
    NeurIPS 2024 ·
    Hongduan Tian
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  61. Mitigating Label Noise on Graphs via Topological Sample Selection
    ICML 2024 ·
    Yuhao Wu
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  62. Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
    CVPR 2024 ·
    Zihua Zhao
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  63. Negative Label Guided OOD Detection with Pretrained Vision-Language Models
    ICLR 2024 ·
    Xue Jiang
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  64. Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
    ICLR 2024 ·
    Xuan Li
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  65. NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
    ICLR 2024 ·
    Pengfei Zheng
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  66. On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
    ICLR 2024 ·
    Runqi Lin
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  67. Out-of-Distribution Detection with Negative Prompts
    ICLR 2024 ·
    Jun Nie
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  68. Pseudo-Private Data Guided Model Inversion Attacks
    NeurIPS 2024 ·
    Xiong Peng
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  69. Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
    NeurIPS 2024 ·
    Jiaan Luo
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  70. Robust Training of Federated Models with Extremely Label Deficiency
    ICLR 2024 ·
    Yonggang Zhang
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  71. Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
    NeurIPS 2024 ·
    Geng Yu
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  72. Towards Realistic Model Selection for Semi-supervised Learning
    ICML 2024 ·
    Muyang Li
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  73. Trustworthy Machine Learning under Imperfect Data
    IJCAI 2024 · Bo Han
  74. Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
    ICML 2024 ·
    Yuhao Wu
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  75. Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
    NeurIPS 2024 ·
    Haoang Chi
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  76. What If the Input is Expanded in OOD Detection?
    NeurIPS 2024 ·
    Boxuan Zhang
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