Hongyang Zhang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 57

Top Topics

Pairwise Comparisons

Empirical Risk Minimization

Top Venues

Publications

Yuhui Li, Fangyun Wei, Jinjing Zhao, Chao Zhang, Hongyang Zhang
RAIN: Your Language Models Can Align Themselves without Finetuning. ICLR (2024)
Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees. CoRR (2024)
Yimu Wang, Yihan Wu, Hongyang Zhang
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains. AAAI (2024)
Haochen Sun, Jason Li, Hongyang Zhang
zkLLM: Zero Knowledge Proofs for Large Language Models. CoRR (2024)
Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. CVPR (2023)
Yihan Wu, Zhengmian Hu, Hongyang Zhang, Heng Huang
DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models. CoRR (2023)
Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
Causal Balancing for Domain Generalization. ICLR (2023)
Yihan Wu, Heng Huang, Hongyang Zhang
A Law of Robustness beyond Isoperimetry. ICML (2023)
Yimu Wang, Dinghuai Zhang, Yihan Wu, Heng Huang, Hongyang Zhang
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets. CoRR (2023)
Fangcheng Liu, Chao Zhang, Hongyang Zhang
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes. SaTML (2023)
Zhuangfei Hu, Xinda Li, David P. Woodruff, Hongyang Zhang, Shufan Zhang
Recovery From Non-Decomposable Distance Oracles. IEEE Trans. Inf. Theory 69 (10) (2023)
Yimu Wang, Peng Shi, Hongyang Zhang
Investigating the Existence of "Secret Language" in Language Models. CoRR (2023)
Maria-Florina Balcan, Rattana Pukdee, Pradeep Ravikumar, Hongyang Zhang
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games. AISTATS (2023)
Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang
An Analysis of Robustness of Non-Lipschitz Networks. J. Mach. Learn. Res. 24 (2023)
Zhuangfei Hu, Xinda Li, David P. Woodruff, Hongyang Zhang, Shufan Zhang
Recovery from Non-Decomposable Distance Oracles. ITCS (2023)
Minghan Li, Xinyu Zhang, Ji Xin, Hongyang Zhang, Jimmy Lin
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking. CoRR (2022)
Yihan Wu, Xinda Li, Florian Kerschbaum, Heng Huang, Hongyang Zhang
Towards Robust Dataset Learning. CoRR (2022)
Minghan Li, Xinyu Zhang, Ji Xin, Hongyang Zhang, Jimmy Lin
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking. EMNLP (2022)
Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala
Building Robust Ensembles via Margin Boosting. CoRR (2022)
Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
Causal Balancing for Domain Generalization. CoRR (2022)
Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness. CoRR (2022)
Dinghuai Zhang, Hongyang Zhang, Aaron C. Courville, Yoshua Bengio, Pradeep Ravikumar, Arun Sai Suggala
Building Robust Ensembles via Margin Boosting. ICML (2022)
Zhuangfei Hu, Xinda Li, David P. Woodruff, Hongyang Zhang, Shufan Zhang
Recovery from Non-Decomposable Distance Oracles. CoRR (2022)
Yihan Wu, Hongyang Zhang, Heng Huang
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. CoRR (2022)
Yihan Wu, Hongyang Zhang, Heng Huang
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. ICML (2022)
Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness. NeurIPS (2022)
Maria-Florina Balcan, Rattana Pukdee, Pradeep Ravikumar, Hongyang Zhang
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games. CoRR (2022)
Lang Huang, Chao Zhang, Hongyang Zhang
Self-Adaptive Training: Bridging the Supervised and Self-Supervised Learning. CoRR (2021)
Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao
Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients. MSML (2021)
Avrim Blum, Travis Dick, Naren Manoj, Hongyang Zhang
Robustness for High-Dimensional Images. CoRR (2020)
Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang
On the Power of Abstention and Data-Driven Decision Making for Adversarial Robustness. CoRR (2020)
Avrim Blum, Travis Dick, Naren Manoj, Hongyang Zhang
Random Smoothing Might be Unable to Certify L∞ Robustness for High-Dimensional Images. J. Mach. Learn. Res. 21 (2020)
Lang Huang, Chao Zhang, Hongyang Zhang
Self-Adaptive Training: beyond Empirical Risk Minimization. NeurIPS (2020)
Lang Huang, Chao Zhang, Hongyang Zhang
Self-Adaptive Training: beyond Empirical Risk Minimization. CoRR (2020)
Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu
Design and Interpretation of Universal Adversarial Patches in Face Detection. ECCV (17) (2020)
Xiao Yang, Fangyun Wei, Hongyang Zhang, Xiang Ming, Jun Zhu
Design and Interpretation of Universal Adversarial Patches in Face Detection. CoRR (2019)
Maria-Florina Balcan, Yi Li, David P. Woodruff, Hongyang Zhang
Testing Matrix Rank, Optimally. SODA (2019)
Maria-Florina Balcan, Yingyu Liang, Zhao Song, David P. Woodruff, Hongyang Zhang
Non-Convex Matrix Completion and Related Problems via Strong Duality. J. Mach. Learn. Res. 20 (2019)
Zhao Song, Ruosong Wang, Lin F. Yang, Hongyang Zhang, Peilin Zhong
Efficient Symmetric Norm Regression via Linear Sketching. CoRR (2019)
Zhao Song, Ruosong Wang, Lin F. Yang, Hongyang Zhang, Peilin Zhong
Efficient Symmetric Norm Regression via Linear Sketching. NeurIPS (2019)
Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang
Recovery Guarantees For Quadratic Tensors With Sparse Observations. AISTATS (2019)
Vasileios Nakos, Xiaofei Shi, David P. Woodruff, Hongyang Zhang
Improved Algorithms for Adaptive Compressed Sensing. CoRR (2018)
Maria-Florina Balcan, Yi Li, David P. Woodruff, Hongyang Zhang
Testing Matrix Rank, Optimally. CoRR (2018)
Vasileios Nakos, Xiaofei Shi, David P. Woodruff, Hongyang Zhang
Improved Algorithms for Adaptive Compressed Sensing. ICALP (2018)
Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang
Matrix Completion and Related Problems via Strong Duality. ITCS (2018)
Thierry Bouwmans, Sajid Javed, Hongyang Zhang, Zhouchen Lin, Ricardo Otazo
On the Applications of Robust PCA in Image and Video Processing. Proc. IEEE 106 (8) (2018)
Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang
Recovery Guarantees for Quadratic Tensors with Limited Observations. CoRR (2018)
Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller
Noise-Tolerant Interactive Learning Using Pairwise Comparisons. NIPS (2017)
Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu
Fast Compressive Phase Retrieval under Bounded Noise. AAAI (2017)
Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang
-Regularization. CoRR (2017)
Maria-Florina Balcan, Hongyang Zhang
S-Concave Distributions: Towards Broader Distributions for Noise-Tolerant and Sample-Efficient Learning Algorithms. CoRR (2017)
Maria-Florina Balcan, Hongyang Zhang
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions. NIPS (2017)
Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang
Differentially Private Clustering in High-Dimensional Euclidean Spaces. ICML (2017)
Hongyang Zhang, Zhouchen Lin, Chao Zhang
Completing Low-Rank Matrices With Corrupted Samples From Few Coefficients in General Basis. IEEE Trans. Inf. Theory 62 (8) (2016)
Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab, Hongyang Zhang
Learning and 1-bit Compressed Sensing under Asymmetric Noise. COLT (2016)
Maria-Florina Balcan, Hongyang Zhang
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling. CoRR (2016)
Maria-Florina Balcan, Hongyang Zhang
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling. NIPS (2016)
Xin Shi, Chao Zhang, Fangyun Wei, Hongyang Zhang, Yiyuan She
Manifold-Regularized Selectable Factor Extraction for Semi-supervised Image Classification. BMVC (2015)
Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao
Relations Among Some Low-Rank Subspace Recovery Models. Neural Comput. 27 (9) (2015)
Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang
Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds. AAAI (2015)
Hongyang Zhang, Zhouchen Lin, Chao Zhang
Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis. CoRR (2015)
Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao
Relations among Some Low Rank Subspace Recovery Models. CoRR (2014)
Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao
Robust latent low rank representation for subspace clustering. Neurocomputing 145 (2014)
Hongyang Zhang, Zhouchen Lin, Chao Zhang
A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank. ECML/PKDD (2) (2013)