See also DBLP for further bibliographic information.
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis, NeurIPS ’23 Data
A. Nippani, D. Li, H. Ju, H. N. Koutsopoulos, and H. R. Zhang
Improved Group Robustness via Classifier Retraining on Independent Splits, TMLR ’23
T. H. Nguyen, H. R. Zhang, and H. L. Nguyen
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities, KDD ’23
D. Li, H. Ju, A. Sharma, and H. R. Zhang
Identification of Negative Transfers in Multitask Learning Using Surrogate Models, TMLR ’23. Featured Certification
D. Li, H. L. Nguyen, and H. R. Zhang
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion, AISTATS ’23
H. Ju, D. Li, A. Sharma, and H. R. Zhang
Optimal Intervention on Weighted Networks via Edge Centrality, SDM ’23
D. Li, T. Eliassi-Rad, and H. R. Zhang
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees, ICML ’22
H. Ju, D. Li, and H. R. Zhang
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations, ICML ’22. Long presentation
M. Zhang, N. Sohoni, H. R. Zhang, C. Finn, and C. Ré
Incentive Ratio: A Game Theoretical Analysis of Market Equilibria, Information and Computation ’22
N. Chen, X. Deng, B. Tang, H. R. Zhang, and J. Zhang
Improved Regularization and Robustness for Fine-tuning in Neural Networks, NeurIPS ’21
D. Li and H. R. Zhang
Observational Supervision for Medical Image Classification using Gaze Data, MICCAI ’21
K. Saab, S. Hooper, N. Sohoni, J. Dunnmon, H. R. Zhang, D. Rubin, and C. Ré
On the Generalization Effects of Linear Transformations in Data Augmentation, ICML ’20
S. Wu*, H. R. Zhang*, G. Valiant, and C. Ré
Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK, COLT ’20
Y. Li*, T. Ma*, and H. R. Zhang*
Understanding and Improving Information Transfer in Multi-Task Learning, ICLR ’20
S. Wu*, H. R. Zhang*, and C. Ré
Algorithms and Generalization for Large-scale Matrices and Tensors, Ph.D. Thesis ’19, Stanford University
H. Zhang
Pruning based Distance Sketches with Provable Guarantees on Random Graphs, WWW ’19. Oral presentation
H. Zhang, H. Yu, and A. Goel
Recovery Guarantees for Quadratic Tensors with Sparse Observations, AISTATS ’19
H. Zhang, V. Sharan, M. Charikar, and Y. Liang
Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations, COLT ’18. Best Paper Award
Y. Li*, T. Ma*, and H. Zhang*
Approximate Personalized PageRank on Dynamic Graphs, KDD ’16. Oral presentation
H. Zhang, P. Lofgren, and A. Goel
Incentives for Strategic Behavior in Fisher Market Games, AAAI ’16
N. Chen*, X. Deng*, B. Tang*, and H. Zhang*
A Note on Modeling Retweet Cascades on Twitter, WAW ’15
A. Goel*, K. Munagala*, A. Sharma*, and H. Zhang*
Connectivity in Random Forests and Credit Networks, SODA ’15
A. Goel*, S. Khanna*, S. Raghvendra*, and H. Zhang*
Computing the Nucleolus of Matching, Cover and Clique Games, AAAI ’12. Oral presentation
N. Chen*, P. Lu*, and H. Zhang*
Incentive Ratios of Fisher Markets, ICALP ’12
N. Chen*, X. Deng*, H. Zhang*, and J. Zhang*
On Strategy-proof Allocation without Payments or Priors, WINE ’11
L. Han*, C. Su*, L. Tang*, and H. Zhang*