Zhang, Hongyang

49 publications

CVPR 2025 BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs Zhantao Yang, Ruili Feng, Keyu Yan, Huangji Wang, Zhicai Wang, Shangwen Zhu, Han Zhang, Jie Xiao, Pingyu Wu, Kai Zhu, Jixuan Chen, Chen-Wei Xie, Yue Yang, Hongyang Zhang, Yu Liu, Fan Cheng

NeurIPS 2025 EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang

CVPRW 2025 Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models Jierun Chen, Fangyun Wei, Jinjing Zhao, Sizhe Song, Bohuai Wu, Zhuoxuan Peng, S.-H. Gary Chan, Hongyang Zhang

NeurIPS 2025 The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control Ruili Feng, Han Zhang, Zhilei Shu, Zhantao Yang, Longxiang Tang, Zhicai Wang, Andy Zheng, Jie Xiao, Zhiheng Liu, Ruihang Chu, Yukun Huang, Yu Liu, Hongyang Zhang

NeurIPS 2024 A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era Fangyun Wei, Jinjing Zhao, Kun Yan, Hongyang Zhang, Chang Xu

ICML 2024 A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang

ICML 2024 AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls Yu Du, Fangyun Wei, Hongyang Zhang

ECML-PKDD 2024 Direct-Effect Risk Minimization for Domain Generalization Yuhui Li, Zejia Wu, Chao Zhang, Hongyang Zhang

ICML 2024 EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang

AAAI 2024 Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains Yimu Wang, Yihan Wu, Hongyang Zhang

ICLR 2024 RAIN: Your Language Models Can Align Themselves Without Finetuning Yuhui Li, Fangyun Wei, Jinjing Zhao, Chao Zhang, Hongyang Zhang

NeurIPSW 2024 Towards Secure and Private AI: A Framework for Decentralized Inference Hongyang Zhang, Yue Zhao, Chao Yang, Ahmad Farhan, Fielding Johnston

ICLR 2024 Unbiased Watermark for Large Language Models Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang

ICML 2023 A Law of Robustness Beyond Isoperimetry Yihan Wu, Heng Huang, Hongyang Zhang

JMLR 2023 An Analysis of Robustness of Non-Lipschitz Networks Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang

ICLR 2023 Causal Balancing for Domain Generalization Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang

CVPR 2023 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang

NeurIPS 2023 Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis Abhinav Nippani, Dongyue Li, Haotian Ju, Haris Koutsopoulos, Hongyang Zhang

AISTATS 2023 Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games Maria-Florina Balcan, Rattana Pukdee, Pradeep Ravikumar, Hongyang Zhang

ICML 2023 Understanding the Impact of Adversarial Robustness on Accuracy Disparity Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao

NeurIPS 2022 Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang

ICML 2022 Building Robust Ensembles via Margin Boosting Dinghuai Zhang, Hongyang Zhang, Aaron Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala

ICMLW 2022 Causal Balancing for Domain Generalization Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang

NeurIPSW 2022 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness by Adaptive Budgets Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang

ICML 2022 RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval Yihan Wu, Hongyang Zhang, Heng Huang

NeurIPS 2021 Improved Regularization and Robustness for Fine-Tuning in Neural Networks Dongyue Li, Hongyang Zhang

ICMLW 2021 Towards Transferable Adversarial Perturbations with Minimum Norm Fangcheng Liu, Chao Zhang, Hongyang Zhang

NeurIPS 2020 A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri

ECCV 2020 Design and Interpretation of Universal Adversarial Patches in Face Detection Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu

ICML 2020 On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu, Hongyang Zhang, Gregory Valiant, Christopher Re

JMLR 2020 Random Smoothing Might Be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images Avrim Blum, Travis Dick, Naren Manoj, Hongyang Zhang

NeurIPS 2020 Self-Adaptive Training: Beyond Empirical Risk Minimization Lang Huang, Chao Zhang, Hongyang Zhang

AISTATS 2019 Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov

NeurIPS 2019 Efficient Symmetric Norm Regression via Linear Sketching Zhao Song, Ruosong Wang, Lin Yang, Hongyang Zhang, Peilin Zhong

JMLR 2019 Non-Convex Matrix Completion and Related Problems via Strong Duality Maria-Florina Balcan, Yingyu Liang, Zhao Song, David P. Woodruff, Hongyang Zhang

NeurIPS 2019 Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep K Ravikumar

AISTATS 2019 Recovery Guarantees for Quadratic Tensors with Sparse Observations Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang

ICML 2019 Theoretically Principled Trade-Off Between Robustness and Accuracy Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric Xing, Laurent El Ghaoui, Michael Jordan

COLT 2018 Algorithmic Regularization in Over-Parameterized Matrix Sensing and Neural Networks with Quadratic Activations Yuanzhi Li, Tengyu Ma, Hongyang Zhang

ICML 2017 Differentially Private Clustering in High-Dimensional Euclidean Spaces Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang

AAAI 2017 Fast Compressive Phase Retrieval Under Bounded Noise Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu

NeurIPS 2017 Noise-Tolerant Interactive Learning Using Pairwise Comparisons Yichong Xu, Hongyang Zhang, Kyle Miller, Aarti Singh, Artur Dubrawski

NeurIPS 2017 Sample and Computationally Efficient Learning Algorithms Under S-Concave Distributions Maria-Florina F Balcan, Hongyang Zhang

AAAI 2016 Incentives for Strategic Behavior in Fisher Market Games Ning Chen, Xiaotie Deng, Bo Tang, Hongyang Zhang

COLT 2016 Learning and 1-Bit Compressed Sensing Under Asymmetric Noise Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab, Hongyang Zhang

NeurIPS 2016 Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling Maria-Florina F Balcan, Hongyang Zhang

AAAI 2015 Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang

ECML-PKDD 2013 A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank Hongyang Zhang, Zhouchen Lin, Chao Zhang

AAAI 2012 Computing the Nucleolus of Matching, Cover and Clique Games Ning Chen, Pinyan Lu, Hongyang Zhang