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Yonggang Zhang

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

29 papers at tracked venues · 29 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-4080-7592 ↗

Venues

ICLR ×9NeurIPS ×8AAAI ×3ACL ×3ICML ×3ICDE ×1SIGKDD ×1WWW ×1

Frequent coauthors

Chenghao Sun
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Jianqi Gao
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Bo Peng
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Jun Nie
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Zhenheng Tang
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Xuhui Li
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Zhikai Hu
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Fangming Cui
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Zhiqin Yang
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Lei Shen
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Rui Dai
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Zhuoxiao Chen
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Papers

  1. Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs
    AAAI 2026 ·
    Chenghao Sun
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  2. Generating then Refining for Reliable Knowledge Base Question Answering
    ACL 2026 ·
    Jianqi Gao
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  3. Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract)
    ICDE 2025 ·
    Xuhui Li
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  4. Component-Level Segmentation for Oracle Bone Inscription Decipherment
    AAAI 2025 ·
    Zhikai Hu
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  5. Detecting Generated Images by Fitting Natural Image Distributions
    NeurIPS 2025 · Yonggang Zhang
  6. Distributional Prototype Learning for Out-of-distribution Detection
    SIGKDD 2025 ·
    Bo Peng
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  7. Enhancing Target-unspecific Tasks through a Features Matrix
    ICML 2025 ·
    Fangming Cui
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  8. Epistemic Uncertainty for Generated Image Detection
    NeurIPS 2025 ·
    Jun Nie
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  9. FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
    NeurIPS 2025 ·
    Zhiqin Yang
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  10. Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
    ICLR 2025 ·
    Lei Shen
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  11. Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings
    ACL 2025 ·
    Chenghao Sun
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  12. Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs
    ICLR 2025 ·
    Rui Dai
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  13. MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
    ICLR 2025 ·
    Zhuoxiao Chen
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  14. Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment
    WWW 2025 ·
    Jianqi Gao
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  15. Towards Generalizable Detector for Generated Image
    NeurIPS 2025 ·
    Qianshu Cai
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  16. Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions
    ACL 2025 ·
    Yiqun Wang
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  17. Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
    NeurIPS 2025 ·
    Chen Shu
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  18. ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
    ICLR 2024 ·
    Bo Peng
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  19. Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
    NeurIPS 2024 ·
    Yuxin Xiao
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  20. Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
    ICLR 2024 ·
    Rong Dai
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  21. FedImpro: Measuring and Improving Client Update in Federated Learning
    ICLR 2024 ·
    Zhenheng Tang
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  22. Federated Learning with Extremely Noisy Clients via Negative Distillation
    AAAI 2024 ·
    Yang Lu
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  23. From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
    ICML 2024 ·
    Wei Chen
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  24. FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
    NeurIPS 2024 ·
    Zhenheng Tang
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  25. Interpreting and Improving Large Language Models in Arithmetic Calculation
    ICML 2024 ·
    Wei Zhang
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  26. Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
    NeurIPS 2024 · Yonggang Zhang
  27. NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
    ICLR 2024 ·
    Pengfei Zheng
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  28. Out-of-Distribution Detection with Negative Prompts
    ICLR 2024 ·
    Jun Nie
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  29. Robust Training of Federated Models with Extremely Label Deficiency
    ICLR 2024 · Yonggang Zhang