Hongyang R. Zhang

49 papers A* 12A 2Journal 30Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Estimation of Kernel Surrogate Models for Task Attribution. CoRR Zhenshuo Zhang, Minxuan Duan, Hongyang R. Zhang
2026	—	`conf`	Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning. KDD (1) Dongyue Li, Zhenshuo Zhang, Minxuan Duan, Edgar Dobriban, Hongyang R. Zhang
2026	—	`conf`	Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation. KDD (1) Ziniu Zhang, Minxuan Duan, Haris N. Koutsopoulos, Hongyang R. Zhang
2026	J	`jnl`	One-Sided Matrix Completion from Ultra-Sparse Samples. CoRR Hongyang R. Zhang, Zhenshuo Zhang, Huy L. Nguyen, Guanghui Lan
2026	J	`jnl`	One-Sided Matrix Completion from Ultra-Sparse Samples. Trans. Mach. Learn. Res. Hongyang R. Zhang, Zhenshuo Zhang, Huy L. Nguyen, Guanghui Lan
2026	A*	`conf`	Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation. AAAI Zhenshuo Zhang, Minxuan Duan, Youran Ye, Hongyang R. Zhang
2025	—	`conf`	Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets. ACL (1) Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang
2025	J	`jnl`	Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets. CoRR Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang
2025	J	`jnl`	Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning. CoRR Dongyue Li, Zhenshuo Zhang, Minxuan Duan, Edgar Dobriban, Hongyang R. Zhang
2025	J	`jnl`	Learning Multimodal Embeddings for Traffic Accident Prediction and Causal Estimation. CoRR Ziniu Zhang, Minxuan Duan, Haris N. Koutsopoulos, Hongyang R. Zhang
2025	A*	`conf`	Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. EMNLP Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang
2025	J	`jnl`	Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. CoRR Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang
2025	J	`jnl`	Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers. J. Mach. Learn. Res. Fan Yang, Hongyang R. Zhang, Sen Wu, Christopher Ré, Weijie J. Su
2025	J	`jnl`	Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation. CoRR Zhenshuo Zhang, Minxuan Duan, Youran Ye, Hongyang R. Zhang
2024	J	`jnl`	Learning Tree-Structured Composition of Data Augmentation. CoRR Dongyue Li, Kailai Chen, Predrag Radivojac, Hongyang R. Zhang
2024	J	`jnl`	Learning Tree-Structured Composition of Data Augmentation. Trans. Mach. Learn. Res. Dongyue Li, Kailai Chen, Predrag Radivojac, Hongyang R. Zhang
2024	J	`jnl`	Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach. Trans. Mach. Learn. Res. Hongyang R. Zhang, Dongyue Li, Haotian Ju
2024	J	`jnl`	Scalable Fine-tuning from Multiple Data Sources:A First-Order Approximation Approach. CoRR Dongyue Li, Ziniu Zhang, Lu Wang, Hongyang R. Zhang
2024	A*	`conf`	Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity. KDD Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
2024	J	`jnl`	Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity. CoRR Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
2023	A*	`conf`	Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. KDD Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang
2023	J	`jnl`	Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. CoRR Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang
2023	A	`conf`	Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. AISTATS Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
2023	J	`jnl`	Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. CoRR Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
2023	A*	`conf`	Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis. NeurIPS Abhinav Nippani, Dongyue Li, Haotian Ju, Haris K. Koutsopoulos, Hongyang R. Zhang
2023	J	`jnl`	Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis. CoRR Abhinav Nippani, Dongyue Li, Haotian Ju, Haris N. Koutsopoulos, Hongyang R. Zhang
2023	J	`jnl`	Identification of Negative Transfers in Multitask Learning Using Surrogate Models. CoRR Dongyue Li, Huy L. Nguyen, Hongyang R. Zhang
2023	J	`jnl`	Improved Group Robustness via Classifier Retraining on Independent Splits. Trans. Mach. Learn. Res. Thien Hang Nguyen, Hongyang R. Zhang, Huy L. Nguyen
2023	A*	`conf`	Information Transfer in Multitask Learning, Data Augmentation, and Beyond. AAAI Hongyang R. Zhang
2023	J	`jnl`	Noise Stability Optimization for Flat Minima with Optimal Convergence Rates. CoRR Haotian Ju, Dongyue Li, Hongyang R. Zhang
2023	A	`conf`	Optimal Intervention on Weighted Networks via Edge Centrality. SDM Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang
2023	J	`jnl`	Optimal Intervention on Weighted Networks via Edge Centrality. CoRR Dongyue Li, Tina Eliassi-Rad, Hongyang R. Zhang
2022	J	`jnl`	Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations. CoRR Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré
2022	A*	`conf`	Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. ICML Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré
2022	J	`jnl`	Improved Worst-Group Robustness via Classifier Retraining on Independent Splits. CoRR Thien Hang Nguyen, Hongyang R. Zhang, Huy Le Nguyen
2022	J	`jnl`	Incentive ratio: A game theoretical analysis of market equilibria. Inf. Comput. Ning Chen, Xiaotie Deng, Bo Tang, Hongyang R. Zhang, Jie Zhang
2022	A*	`conf`	Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees. ICML Haotian Ju, Dongyue Li, Hongyang R. Zhang
2022	J	`jnl`	Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees. CoRR Haotian Ju, Dongyue Li, Hongyang R. Zhang
2021	A*	`conf`	Improved Regularization and Robustness for Fine-tuning in Neural Networks. NeurIPS Dongyue Li, Hongyang R. Zhang
2021	J	`jnl`	Improved Regularization and Robustness for Fine-tuning in Neural Networks. CoRR Dongyue Li, Hongyang R. Zhang
2021	—	`conf`	Observational Supervision for Medical Image Classification Using Gaze Data. MICCAI (2) 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
2020	A*	`conf`	Learning Over-Parametrized Two-Layer Neural Networks beyond NTK. COLT Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang
2020	J	`jnl`	Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK. CoRR Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang
2020	A*	`conf`	On the Generalization Effects of Linear Transformations in Data Augmentation. ICML Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré
2020	J	`jnl`	On the Generalization Effects of Linear Transformations in Data Augmentation. CoRR Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré
2020	J	`jnl`	Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression. CoRR Hongyang R. Zhang, Fan Yang, Sen Wu, Weijie J. Su, Christopher Ré
2020	A*	`conf`	Understanding and Improving Information Transfer in Multi-Task Learning. ICLR Sen Wu, Hongyang R. Zhang, Christopher Ré
2020	J	`jnl`	Understanding and Improving Information Transfer in Multi-Task Learning. CoRR Sen Wu, Hongyang R. Zhang, Christopher Ré
2019	—	`—`	Algorithms and generalization for large-scale matrices and tensors. Hongyang R. Zhang