Hongyang R. Zhang

Orcid: 0009-0005-9118-8516

Affiliations:
  • Northeastern University, Boston, MA, USA
  • Stanford University, Department of Computer Science, CA, USA (PhD 2019)
  • Shanghai Jiao Tong University, Department of Computer Science, Shanghai, China


According to our database1, Hongyang R. Zhang authored at least 32 papers between 2011 and 2023.

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Bibliography

2023
Identification of Negative Transfers in Multitask Learning Using Surrogate Models.
Trans. Mach. Learn. Res., 2023

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis.
CoRR, 2023

Noise Stability Optimization for Flat Minima with Optimal Convergence Rates.
CoRR, 2023

Optimal Intervention on Weighted Networks via Edge Centrality.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis.
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.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Information Transfer in Multitask Learning, Data Augmentation, and Beyond.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Incentive ratio: A game theoretical analysis of market equilibria.
Inf. Comput., 2022

Improved Worst-Group Robustness via Classifier Retraining on Independent Splits.
CoRR, 2022

Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations.
Proceedings of the International Conference on Machine Learning, 2022

Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees.
Proceedings of the International Conference on Machine Learning, 2022

2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks.
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.
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.
CoRR, 2020

Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK.
CoRR, 2020

On the Generalization Effects of Linear Transformations in Data Augmentation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding and Improving Information Transfer in Multi-Task Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Over-Parametrized Two-Layer Neural Networks beyond NTK.
Proceedings of the Conference on Learning Theory, 2020

2019
Algorithms and generalization for large-scale matrices and tensors.
PhD thesis, 2019

Pruning based Distance Sketches with Provable Guarantees on Random Graphs.
Proceedings of the World Wide Web Conference, 2019

Recovery Guarantees For Quadratic Tensors With Sparse Observations.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Recovery Guarantees for Quadratic Tensors with Limited Observations.
CoRR, 2018

Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations.
Proceedings of the Conference On Learning Theory, 2018

2016
Approximate Personalized PageRank on Dynamic Graphs.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Incentives for Strategic Behavior in Fisher Market Games.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Note on Modeling Retweet Cascades on Twitter.
Proceedings of the Algorithms and Models for the Web Graph - 12th International Workshop, 2015

Connectivity in Random Forests and Credit Networks.
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

2012
Incentive Ratios of Fisher Markets.
Proceedings of the Automata, Languages, and Programming - 39th International Colloquium, 2012

Fixed-Parameter Tractability of almost CSP Problem with Decisive Relations.
Proceedings of the Frontiers in Algorithmics and Algorithmic Aspects in Information and Management, 2012

Computing the Nucleolus of Matching, Cover and Clique Games.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
On Strategy-Proof Allocation without Payments or Priors.
Proceedings of the Internet and Network Economics - 7th International Workshop, 2011


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