| On the Convergence of FedAvg on Non-IID Data X Li, K Huang, W Yang, S Wang, Z Zhang arXiv preprint arXiv:1907.02189, 2019 | 2399 | 2019 |
| Visual adversarial examples jailbreak aligned large language models X Qi, K Huang, A Panda, P Henderson, M Wang, P Mittal Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21527 …, 2024 | 121* | 2024 |
| Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks?---A Neural Tangent Kernel Perspective K Huang, Y Wang, M Tao, T Zhao Advances in neural information processing systems 33, 2698-2709, 2020 | 104 | 2020 |
| Score approximation, estimation and distribution recovery of diffusion models on low-dimensional data M Chen, K Huang, T Zhao, M Wang International Conference on Machine Learning, 4672-4712, 2023 | 86 | 2023 |
| Fast federated learning in the presence of arbitrary device unavailability X Gu, K Huang, J Zhang, L Huang Advances in Neural Information Processing Systems 34, 12052-12064, 2021 | 82 | 2021 |
| Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications B Wei, K Huang, Y Huang, T Xie, X Qi, M Xia, P Mittal, M Wang, ... arXiv preprint arXiv:2402.05162, 2024 | 30 | 2024 |
| Reward-directed conditional diffusion: Provable distribution estimation and reward improvement H Yuan, K Huang, C Ni, M Chen, M Wang Advances in Neural Information Processing Systems 36, 2024 | 26* | 2024 |
| Optimal gradient-based algorithms for non-concave bandit optimization B Huang, K Huang, S Kakade, JD Lee, Q Lei, R Wang, J Yang Advances in Neural Information Processing Systems 34, 29101-29115, 2021 | 17 | 2021 |
| A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions Y Chu, D Yu, Y Li, K Huang, Y Shen, L Cong, J Zhang, M Wang Nature Machine Intelligence, 1-12, 2024 | 15 | 2024 |
| Embodied LLM Agents Learn to Cooperate in Organized Teams X Guo, K Huang, J Liu, W Fan, N Vélez, Q Wu, H Wang, TL Griffiths, ... arXiv preprint arXiv:2403.12482, 2024 | 12 | 2024 |
| Going beyond linear rl: Sample efficient neural function approximation B Huang, K Huang, S Kakade, JD Lee, Q Lei, R Wang, J Yang Advances in Neural Information Processing Systems 34, 8968-8983, 2021 | 9 | 2021 |
| Deep Reinforcement Learning for Cost-Effective Medical Diagnosis Z Yu, Y Li, J Kim, K Huang, Y Luo, M Wang arXiv preprint arXiv:2302.10261, 2023 | 8 | 2023 |
| A Short Note on the Relationship of Information Gain and Eluder Dimension K Huang, SM Kakade, JD Lee, Q Lei arXiv preprint arXiv:2107.02377, 2021 | 8 | 2021 |
| CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments K Huang, Y Qu, H Cousins, WA Johnson, D Yin, M Shah, D Zhou, ... arXiv preprint arXiv:2404.18021, 2024 | 7* | 2024 |
| SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors T Xie, X Qi, Y Zeng, Y Huang, UM Sehwag, K Huang, L He, B Wei, D Li, ... arXiv preprint arXiv:2406.14598, 2024 | 5 | 2024 |
| AI Risk Management Should Incorporate Both Safety and Security X Qi, Y Huang, Y Zeng, E Debenedetti, J Geiping, L He, K Huang, ... arXiv preprint arXiv:2405.19524, 2024 | 2 | 2024 |
| Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources Y Li, C Mao, K Huang, H Wang, Z Yu, M Wang, Y Luo arXiv preprint arXiv:2309.08560, 2023 | 1 | 2023 |
| Scaling In-Context Demonstrations with Structured Attention T Cai, K Huang, JD Lee, M Wang arXiv preprint arXiv:2307.02690, 2023 | 1 | 2023 |
| Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization K Huang, Y Wu, X Zhang, S Tu, Q Wu, M Wang, H Wang arXiv preprint arXiv:2206.14846, 2022 | 1 | 2022 |
| SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths K Huang, X Guo, M Wang arXiv preprint arXiv:2405.19715, 2024 | | 2024 |
Mengdi WangCenter for Statistics & Machine Learning, ECE, Princeton UniversityVerified email at princeton.edu
