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ORCIDHongyang R. Zhang
Person information
- affiliation: Northeastern University, Boston, MA, USA
- affiliation (PhD 2019): Stanford University, Department of Computer Science, CA, USA
- affiliation: Shanghai Jiao Tong University, Department of Computer Science, Shanghai, China
Other persons with the same name
- Hongyang Zhang — disambiguation page
- Hongyang Zhang 0001
![[0000-0002-0548-6068]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0548-6068")
— University of Waterloo, David R. Cheriton School of Computer Science, Canada (and 3 more) - Hongyang Zhang 0002 — Xidian University, Xi'an, School of Aerospace Science and Technology, China
- Hongyang Zhang 0003 — Shandong University of Science and Technology, College of Mechanical and Electronic Engineering, Qingdao, China
- Hongyang Zhang 0004 — Beijing Normal University, College of Information Science and Technology, China
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Books and Theses
- 2019
[b1]Hongyang R. Zhang:
Algorithms and generalization for large-scale matrices and tensors. Stanford University, USA, 2019
Journal Articles
- 2023
- [j2]Dongyue Li, Huy L. Nguyen, Hongyang Ryan Zhang:
Identification of Negative Transfers in Multitask Learning Using Surrogate Models. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j1]Ning Chen, Xiaotie Deng, Bo Tang, Hongyang R. Zhang, Jie Zhang:
Incentive ratio: A game theoretical analysis of market equilibria. Inf. Comput. 285(Part): 104875 (2022)
Conference and Workshop Papers
- 2023
- [c23]Hongyang R. Zhang:
Information Transfer in Multitask Learning, Data Augmentation, and Beyond. AAAI 2023: 15464 - [c22]Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang:
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. AISTATS 2023: 6314-6341 - [c21]Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang:
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. KDD 2023: 1213-1222 - [c20]Abhinav Nippani, Dongyue Li, Haotian Ju, Haris K. Koutsopoulos, Hongyang R. Zhang:
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis. NeurIPS 2023 - [c19]Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang:
Optimal Intervention on Weighted Networks via Edge Centrality. SDM 2023: 424-432 - 2022
- [c18]Haotian Ju, Dongyue Li, Hongyang R. Zhang:
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees. ICML 2022: 10431-10461 - [c17]Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré:
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. ICML 2022: 26484-26516 - 2021
- [c16]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:
Observational Supervision for Medical Image Classification Using Gaze Data. MICCAI (2) 2021: 603-614 - [c15]Dongyue Li, Hongyang R. Zhang:
Improved Regularization and Robustness for Fine-tuning in Neural Networks. NeurIPS 2021: 27249-27262 - 2020
- [c14]Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang:
Learning Over-Parametrized Two-Layer Neural Networks beyond NTK. COLT 2020: 2613-2682 - [c13]Sen Wu, Hongyang R. Zhang, Christopher Ré:
Understanding and Improving Information Transfer in Multi-Task Learning. ICLR 2020 - [c12]Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré:
On the Generalization Effects of Linear Transformations in Data Augmentation. ICML 2020: 10410-10420 - 2019
- [c11]Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees For Quadratic Tensors With Sparse Observations. AISTATS 2019: 3322-3332 - [c10]Hongyang Zhang, Huacheng Yu, Ashish Goel:
Pruning based Distance Sketches with Provable Guarantees on Random Graphs. WWW 2019: 2301-2311 - 2018
- [c9]Yuanzhi Li, Tengyu Ma, Hongyang Zhang:
Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations. COLT 2018: 2-47 - 2016
- [c8]Ning Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang:
Incentives for Strategic Behavior in Fisher Market Games. AAAI 2016: 453-459 - [c7]Hongyang Zhang, Peter Lofgren, Ashish Goel:
Approximate Personalized PageRank on Dynamic Graphs. KDD 2016: 1315-1324 - 2015
- [c6]Ashish Goel, Sanjeev Khanna, Sharath Raghvendra, Hongyang Zhang:
Connectivity in Random Forests and Credit Networks. SODA 2015: 2037-2048 - [c5]Ashish Goel, Kamesh Munagala, Aneesh Sharma, Hongyang Zhang:
A Note on Modeling Retweet Cascades on Twitter. WAW 2015: 119-131 - 2012
- [c4]Ning Chen, Pinyan Lu, Hongyang Zhang:
Computing the Nucleolus of Matching, Cover and Clique Games. AAAI 2012: 1319-1325 - [c3]Chihao Zhang, Hongyang Zhang:
Fixed-Parameter Tractability of almost CSP Problem with Decisive Relations. FAW-AAIM 2012: 224-234 - [c2]Ning Chen, Xiaotie Deng, Hongyang Zhang, Jie Zhang:
Incentive Ratios of Fisher Markets. ICALP (2) 2012: 464-475 - 2011
- [c1]Li Han, Chunzhi Su, Linpeng Tang, Hongyang Zhang:
On Strategy-Proof Allocation without Payments or Priors. WINE 2011: 182-193
Informal and Other Publications
- 2023
- [i16]Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang:
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. CoRR abs/2302.04451 (2023) - [i15]Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang:
Optimal Intervention on Weighted Networks via Edge Centrality. CoRR abs/2303.09086 (2023) - [i14]Dongyue Li, Huy L. Nguyen, Hongyang R. Zhang:
Identification of Negative Transfers in Multitask Learning Using Surrogate Models. CoRR abs/2303.14582 (2023) - [i13]Haotian Ju, Dongyue Li, Hongyang R. Zhang:
Noise Stability Optimization for Flat Minima with Optimal Convergence Rates. CoRR abs/2306.08553 (2023) - [i12]Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang:
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. CoRR abs/2306.14009 (2023) - [i11]Abhinav Nippani, Dongyue Li, Haotian Ju, Haris N. Koutsopoulos, Hongyang R. Zhang:
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis. CoRR abs/2311.00164 (2023) - 2022
- [i10]Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré:
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations. CoRR abs/2203.01517 (2022) - [i9]Thien Hang Nguyen, Hongyang R. Zhang, Huy Le Nguyen:
Improved Worst-Group Robustness via Classifier Retraining on Independent Splits. CoRR abs/2204.09583 (2022) - [i8]Haotian Ju, Dongyue Li, Hongyang R. Zhang:
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees. CoRR abs/2206.02659 (2022) - 2021
- [i7]Dongyue Li, Hongyang R. Zhang:
Improved Regularization and Robustness for Fine-tuning in Neural Networks. CoRR abs/2111.04578 (2021) - 2020
- [i6]Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré:
On the Generalization Effects of Linear Transformations in Data Augmentation. CoRR abs/2005.00695 (2020) - [i5]Sen Wu, Hongyang R. Zhang, Christopher Ré:
Understanding and Improving Information Transfer in Multi-Task Learning. CoRR abs/2005.00944 (2020) - [i4]Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang:
Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK. CoRR abs/2007.04596 (2020) - [i3]Hongyang R. Zhang, Fan Yang, Sen Wu, Weijie J. Su, Christopher Ré:
Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression. CoRR abs/2010.11750 (2020) - 2018
- [i2]Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees for Quadratic Tensors with Limited Observations. CoRR abs/1811.00148 (2018) - 2016
- [i1]Hongyang Zhang, Peter Lofgren, Ashish Goel:
Approximate Personalized PageRank on Dynamic Graphs. CoRR abs/1603.07796 (2016)
Coauthor Index
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