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← Authors

Hongyang Zhang

38 papers · 2016–2025 · 10 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (8) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion πŸ’Ž Century Club (38) ⚑ Prolific Year (8) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (149) πŸ”₯ Unstoppable (10)

Conferences

NIPS (11) ICML (10) AISTATS (3) ICLR (3) JMLR (3) COLT (2) CVPR (2) EMNLP (2) AAAI (1) ECCV (1)

Top co-authors

Yihan Wu (6) Fangyun Wei (6) Maria-Florina Balcan (5) Heng Huang (5) Chao Zhang (4) Yuhui Li (3) Avrim Blum (3) Yingyu Liang (3) Ruslan Salakhutdinov (2) Yimu Wang (2)

Keywords

adversarial robustness (9) neural network (5) adversarial attack (4) adversarial training (3) non-convex optimization (3) matrix factorization (3) transfer learning (2) empirical risk minimization (2) large language model (2) label noise (2) active learning (2) matrix completion (2) game theory (1) ensemble learning (1) contrastive learning (1) domain generalization (1) image classification (1) differential privacy (1) visual question answering (1) online learning (1)

Papers

BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs CVPR 2025 Unbiased Watermark for Large Language Models ICLR 2024 EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty ICML 2024 AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls ICML 2024 EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees EMNLP 2024 A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models ICML 2024 A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era NIPS 2024 Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains AAAI 2024 RAIN: Your Language Models Can Align Themselves without Finetuning ICLR 2024 A Law of Robustness beyond Isoperimetry ICML 2023 An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets CVPR 2023 Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis NIPS 2023 Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023 Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023 Causal Balancing for Domain Generalization ICLR 2023 Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness NIPS 2022 Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking EMNLP 2022 Building Robust Ensembles via Margin Boosting ICML 2022 RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval ICML 2022 Improved Regularization and Robustness for Fine-tuning in Neural Networks NIPS 2021 Design and Interpretation of Universal Adversarial Patches in Face Detection ECCV 2020 A Closer Look at Accuracy vs. Robustness NIPS 2020 Self-Adaptive Training: beyond Empirical Risk Minimization NIPS 2020 On the Generalization Effects of Linear Transformations in Data Augmentation ICML 2020 Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images JMLR 2020 Theoretically Principled Trade-off between Robustness and Accuracy ICML 2019 Recovery Guarantees For Quadratic Tensors With Sparse Observations AISTATS 2019 Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex AISTATS 2019 Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation NIPS 2019 Efficient Symmetric Norm Regression via Linear Sketching NIPS 2019 Non-Convex Matrix Completion and Related Problems via Strong Duality JMLR 2019 Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations COLT 2018 Differentially Private Clustering in High-Dimensional Euclidean Spaces ICML 2017 Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions NIPS 2017 Noise-Tolerant Interactive Learning Using Pairwise Comparisons NIPS 2017 Learning and 1-bit Compressed Sensing under Asymmetric Noise COLT 2016 Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling NIPS 2016