Papers

1. Structured Kernel Surrogate Models for Multimodal Attribution
   Ziniu Zhang*, Zhenshuo Zhang*, J. Lu, R. Xiong, Y. Fu, and H. R. Zhang
   Advances in Neural Information Processing Systems (NeurIPS), 2026
   

2. Quantifying the Stability of Multi-Step Reasoning via Error Amplification
   D. Li, Ziniu Zhang, M. Duan, and H. R. Zhang
   Advances in Neural Information Processing Systems (NeurIPS), 2026
   

3. Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution
   Zhenshuo Zhang, R. Xiong, and H. R. Zhang
   Advances in Neural Information Processing Systems (NeurIPS), 2026
   

4. MoPLEx: Estimating Plackett-Luce Mixture Models for Multi-Objective Alignment
   D. Li, Ziniu Zhang, L. Wang, and H. R. Zhang
   Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
   

5. Long-Context Demonstration Selection Using State Space Models
   Ziniu Zhang, Zhenshuo Zhang, R. Xiong, G. Cooperman, and H. R. Zhang
   Findings of Empirical Methods in Natural Language Processing (EMNLP Findings), 2026
   

6. WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points
   D. Li, Z. Liu, K. Yi, Zhenshuo Zhang, C. Zhao, R. Krishnamoorthi, H. Khaitan, H. R. Zhang, and S. Li
   International Conference on Machine Learning (ICML), 2026

7. Efficient Estimation of Kernel Surrogate Models for Task Attribution
   Zhenshuo Zhang, M. Duan, and H. R. Zhang
   International Conference on Learning Representations (ICLR), 2026
   openreview

8. One-Sided Matrix Completion from Ultra-Sparse Samples
   H. R. Zhang, Zhenshuo Zhang, H. L. Nguyen, and G. Lan
   Transactions on Machine Learning Research (TMLR), 2026. Featured Certification
   openreview. Also presented at NeurIPS’25 Workshop on Optimization and Machine Learning

9. Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning
   D. Li, Zhenshuo Zhang, M. Duan, E. Dobriban, and H. R. Zhang
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
   arXiv

10. Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation
    Ziniu Zhang, M. Duan, H. N. Koutsopoulos, and H. R. Zhang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026 (Datasets)
    

11. Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
    Zhenshuo Zhang, M. Duan, Y. Ye, and H. R. Zhang
    AAAI Conference on Artificial Intelligence (AAAI), 2026
    

12. Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation
    Ziniu Zhang*, Zhenshuo Zhang*, D. Li, L. Wang, J. Dy, and H. R. Zhang
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
    

13. Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
    F. Yang*, H. R. Zhang*, S. Wu, C. Ré, and W. Su
    Journal of Machine Learning Research (JMLR), 2025
    

14. Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
    D. Li, Ziniu Zhang, L. Wang, and H. R. Zhang
    Annual Meeting of the Association for Computational Linguistics (ACL), 2025
    

15. Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach
    H. R. Zhang, D. Li, and H. Ju
    Transactions on Machine Learning Research (TMLR), 2024
    

16. Scalable Fine-tuning From Multiple Data Sources: A First-order Approximation Approach
    D. Li, Ziniu Zhang, L. Wang, and H. R. Zhang
    Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2024
    

17. Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
    D. Li, A. Sharma, and H. R. Zhang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
    

18. Learning Tree-Structured Composition of Data Augmentation
    D. Li, K. Chen, P. Radivojac, and H. R. Zhang
    Transactions on Machine Learning Research (TMLR), 2024
    

19. Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
    A. Nippani, D. Li, H. Ju, H. N. Koutsopoulos, and H. R. Zhang
    Advances in Neural Information Processing Systems (NeurIPS), 2023 (Datasets Track)
    

20. Improved Group Robustness via Classifier Retraining on Independent Splits
    T. H. Nguyen, H. R. Zhang, and H. L. Nguyen
    Transactions on Machine Learning Research (TMLR), 2023
    

21. Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
    D. Li, H. Ju, A. Sharma, and H. R. Zhang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
    

22. Identification of Negative Transfers in Multitask Learning Using Surrogate Models
    D. Li, H. L. Nguyen, and H. R. Zhang
    Transactions on Machine Learning Research (TMLR), 2023. Featured Certification
    

23. Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
    H. Ju, D. Li, A. Sharma, and H. R. Zhang
    Artificial Intelligence and Statistics (AISTATS), 2023
    

24. Optimal Intervention on Weighted Networks via Edge Centrality
    D. Li, T. Eliassi-Rad, and H. R. Zhang
    SIAM International Conference on Data Mining (SDM), 2023
    

25. Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
    H. Ju, D. Li, and H. R. Zhang
    International Conference on Machine Learning (ICML), 2022
    

26. Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations
    M. Zhang, N. Sohoni, H. R. Zhang, C. Finn, and C. Ré
    International Conference on Machine Learning (ICML), 2022. Long presentation
    

27. Incentive Ratio: A Game Theoretical Analysis of Market Equilibria
    N. Chen, X. Deng, B. Tang, H. R. Zhang, and J. Zhang
    Information and Computation, 2022
    

28. Improved Regularization and Robustness for Fine-tuning in Neural Networks
    D. Li and H. R. Zhang
    Advances in Neural Information Processing Systems (NeurIPS), 2021
    

29. Observational Supervision for Medical Image Classification using Gaze Data
    K. Saab, S. Hooper, N. Sohoni, J. Parmar, B. Pogatchnik, S. Wu, J. Dunnmon, H. R. Zhang, D. Rubin, and C. Ré
    Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
    

30. On the Generalization Effects of Linear Transformations in Data Augmentation
    S. Wu*, H. R. Zhang*, G. Valiant, and C. Ré
    International Conference on Machine Learning (ICML), 2020
    

31. Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK
    Y. Li*, T. Ma*, and H. R. Zhang*
    Annual Conference on Learning Theory (COLT), 2020
    

32. Understanding and Improving Information Transfer in Multi-Task Learning
    S. Wu*, H. R. Zhang*, and C. Ré
    International Conference on Learning Representations (ICLR), 2020
    

33. Pruning based Distance Sketches with Provable Guarantees on Random Graphs
    H. R. Zhang, H. Yu, and A. Goel
    The Web Conference (WWW) 2019. Oral presentation
    

34. Recovery Guarantees for Quadratic Tensors with Sparse Observations
    H. R. Zhang, V. Sharan, M. Charikar, and Y. Liang
    Artificial Intelligence and Statistics (AISTATS), 2019
    

35. Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations
    Y. Li*, T. Ma*, and H. R. Zhang*
    Conference on Learning Theory (COLT) 2018. Best Paper Award
    

36. Approximate Personalized PageRank on Dynamic Graphs
    H. R. Zhang, P. Lofgren, and A. Goel
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. Oral presentation. [code]
    

37. Incentives for Strategic Behavior in Fisher Market Games
    N. Chen*, X. Deng*, B. Tang*, and H. R. Zhang*
    AAAI Conference on Artificial Intelligence (AAAI), 2016
    

38. A Note on Modeling Retweet Cascades on Twitter
    A. Goel*, K. Munagala*, A. Sharma*, and H. R. Zhang*
    Workshop on Algorithms and Models for the Web Graph (WAW), 2015
    

39. Connectivity in Random Forests and Credit Networks
    A. Goel*, S. Khanna*, S. Raghvendra*, and H. R. Zhang*
    Symposium on Discrete Algorithms (SODA), 2015
    

40. Computing the Nucleolus of Matching, Cover and Clique Games
    N. Chen*, P. Lu*, and H. R. Zhang*
    AAAI Conference on Artificial Intelligence (AAAI), 2012. Oral presentation
    

41. Incentive Ratios of Fisher Markets
    N. Chen*, X. Deng*, H. R. Zhang*, and J. Zhang*
    International Colloquium on Automata, Languages, and Programming (ICALP), 2012
    

42. Fixed-Parameter Tractability of almost CSP Problem with Decisive Relations
    C. Zhang and H. R. Zhang
    FAW-AAIM, 2012
    

43. On Strategy-proof Allocation without Payments or Priors
    L. Han*, C. Su*, L. Tang*, and H. R. Zhang*
    Conference on Web and Internet Economics (WINE), 2011