Hongyang R. Zhang

According to our database, Hongyang R. Zhang authored at least 37 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Learning Tree-Structured Composition of Data Augmentation.

Dongyue Li, Kailai Chen, Predrag Radivojac, Hongyang R. Zhang

Trans. Mach. Learn. Res., 2024

Scalable Fine-tuning from Multiple Data Sources:A First-Order Approximation Approach.

Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang

CoRR, 2024

Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity.

Dongyue Li, Aneesh Sharma, Hongyang R. Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Improved Group Robustness via Classifier Retraining on Independent Splits.

Thien Hang Nguyen, Hongyang R. Zhang, Huy L. Nguyen

Trans. Mach. Learn. Res., 2023

Identification of Negative Transfers in Multitask Learning Using Surrogate Models.

Dongyue Li, Huy L. Nguyen, Hongyang Ryan Zhang

Trans. Mach. Learn. Res., 2023

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis.

Abhinav Nippani, Dongyue Li, Haotian Ju, Haris N. Koutsopoulos, Hongyang R. Zhang

CoRR, 2023

Noise Stability Optimization for Flat Minima with Optimal Convergence Rates.

Haotian Ju, Dongyue Li, Hongyang R. Zhang

CoRR, 2023

Optimal Intervention on Weighted Networks via Edge Centrality.

Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis.

Abhinav Nippani, Dongyue Li, Haotian Ju, Haris K. Koutsopoulos, Hongyang R. Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Multitask Learning on Graphs through Higher-Order Task Affinities.

Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion.

Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Information Transfer in Multitask Learning, Data Augmentation, and Beyond.

Hongyang R. Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Incentive ratio: A game theoretical analysis of market equilibria.

Ning Chen, Xiaotie Deng, Bo Tang, Hongyang R. Zhang, Jie Zhang

Inf. Comput., 2022

Improved Worst-Group Robustness via Classifier Retraining on Independent Splits.

Thien Hang Nguyen, Hongyang R. Zhang, Huy Le Nguyen

CoRR, 2022

Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations.

Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré

Proceedings of the International Conference on Machine Learning, 2022

Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees.

Haotian Ju, Dongyue Li, Hongyang R. Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Improved Regularization and Robustness for Fine-tuning in Neural Networks.

Dongyue Li, Hongyang R. Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Observational Supervision for Medical Image Classification Using Gaze Data.

Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher Ré

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression.

Hongyang R. Zhang, Fan Yang, Sen Wu, Weijie J. Su, Christopher Ré

CoRR, 2020

Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK.

Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang

CoRR, 2020

On the Generalization Effects of Linear Transformations in Data Augmentation.

Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré

Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding and Improving Information Transfer in Multi-Task Learning.

Sen Wu, Hongyang R. Zhang, Christopher Ré

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Over-Parametrized Two-Layer Neural Networks beyond NTK.

Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang

Proceedings of the Conference on Learning Theory, 2020

2019

Algorithms and generalization for large-scale matrices and tensors.

Hongyang R. Zhang

PhD thesis, 2019

Pruning based Distance Sketches with Provable Guarantees on Random Graphs.

Hongyang Zhang, Huacheng Yu, Ashish Goel

Proceedings of the World Wide Web Conference, 2019

Recovery Guarantees For Quadratic Tensors With Sparse Observations.

Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Recovery Guarantees for Quadratic Tensors with Limited Observations.

Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang

CoRR, 2018

Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations.

Yuanzhi Li, Tengyu Ma, Hongyang Zhang

Proceedings of the Conference On Learning Theory, 2018

2017

Algorithmic Regularization in Over-parameterized Matrix Recovery.

Yuanzhi Li, Tengyu Ma, Hongyang Zhang

CoRR, 2017

2016

Approximate Personalized PageRank on Dynamic Graphs.

Hongyang Zhang, Peter Lofgren, Ashish Goel

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Incentives for Strategic Behavior in Fisher Market Games.

Ning Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Note on Modeling Retweet Cascades on Twitter.

Ashish Goel, Kamesh Munagala, Aneesh Sharma, Hongyang Zhang

Proceedings of the Algorithms and Models for the Web Graph - 12th International Workshop, 2015

Connectivity in Random Forests and Credit Networks.

Ashish Goel, Sanjeev Khanna, Sharath Raghvendra, Hongyang Zhang

Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

2012

Incentive Ratios of Fisher Markets.

Ning Chen, Xiaotie Deng, Hongyang Zhang, Jie Zhang

Proceedings of the Automata, Languages, and Programming - 39th International Colloquium, 2012

Fixed-Parameter Tractability of almost CSP Problem with Decisive Relations.

Chihao Zhang, Hongyang Zhang

Proceedings of the Frontiers in Algorithmics and Algorithmic Aspects in Information and Management, 2012

Computing the Nucleolus of Matching, Cover and Clique Games.

Ning Chen, Pinyan Lu, Hongyang Zhang

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

On Strategy-Proof Allocation without Payments or Priors.

Li Han, Chunzhi Su, Linpeng Tang, Hongyang Zhang

Proceedings of the Internet and Network Economics - 7th International Workshop, 2011