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Han Zhao

University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA

29 papers at tracked venues · 21 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0002-8579-1600 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×11EMNLP ×4ICML ×4ICLR ×3ACL ×2AISTATS ×2AAAI ×1NAACL ×1UAI ×1

Frequent coauthors

Yifei He
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Yuzheng Hu
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Xiaoyuan Zhang
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Haoxiang Wang
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Hongjue Zhao
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Shiji Zhou
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Pingbang Hu
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Siqi Zeng
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Jingyan Shen
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Yuen Chen
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Weiyi Wang
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Samuele Poppi
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Papers

  1. A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning
    NeurIPS 2025 ·
    Yuzheng Hu
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  2. Accelerating Neural ODEs: A Variational Formulation-based Approach
    ICLR 2025 ·
    Hongjue Zhao
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  3. Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
    NeurIPS 2025 ·
    Shiji Zhou
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  4. GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
    NeurIPS 2025 ·
    Pingbang Hu
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  5. Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
    ICLR 2025 ·
    Siqi Zeng
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  6. MergeBench: A Benchmark for Merging Domain-Specialized LLMs
    NeurIPS 2025 ·
    Yifei He
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  7. MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning
    EMNLP 2025 ·
    Jingyan Shen
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  8. Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization
    UAI 2025 ·
    Yuen Chen
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  9. Multiobjective distribution matching
    ICML 2025 ·
    Xiaoyuan Zhang
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  10. Scaling Laws for Multilingual Language Models
    ACL 2025 ·
    Yifei He
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  11. Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining
    NeurIPS 2025 ·
    Weiyi Wang
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  12. Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks
    NAACL 2025 ·
    Samuele Poppi
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  13. Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
    NeurIPS 2025 ·
    Weixin Chen
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  14. Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
    ACL 2024 ·
    Haoxiang Wang
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  15. Differentially Private Post-Processing for Fair Regression
    ICML 2024 ·
    Ruicheng Xian
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  16. FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
    ICLR 2024 ·
    Xiaotian Han
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  17. Fair and Optimal Prediction via Post-Processing
    AAAI 2024 · Han Zhao
  18. Fast 1-Wasserstein distance approximations using greedy strategies
    AISTATS 2024 ·
    Guillaume Houry
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  19. FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
    NeurIPS 2024 ·
    Evelyn Ma
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  20. Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
    EMNLP 2024 ·
    Haoxiang Wang
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  21. Learning Structured Representations with Hyperbolic Embeddings
    NeurIPS 2024 ·
    Aditya Sinha
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  22. LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
    NeurIPS 2024 ·
    Xiaoyuan Zhang
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  23. Mitigating the Alignment Tax of RLHF
    EMNLP 2024 ·
    Yong Lin
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  24. Most Influential Subset Selection: Challenges, Promises, and Beyond
    NeurIPS 2024 ·
    Yuzheng Hu
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  25. On the Expressive Power of Tree-Structured Probabilistic Circuits
    NeurIPS 2024 ·
    Lang Yin
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  26. Pairwise Alignment Improves Graph Domain Adaptation
    ICML 2024 ·
    Shikun Liu
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  27. Robust Multi-Task Learning with Excess Risks
    ICML 2024 ·
    Yifei He
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  28. Semi-Supervised Reward Modeling via Iterative Self-Training
    EMNLP 2024 ·
    Yifei He
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  29. Towards Practical Non-Adversarial Distribution Matching
    AISTATS 2024 ·
    Ziyu Gong
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