Kaixuan Huang
Kaixuan Huang
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Citado por
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Scaling In-Context Demonstrations with Structured Attention
T Cai, K Huang, JD Lee, M Wang
arXiv preprint arXiv:2307.02690, 2023
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
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
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
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths
K Huang, X Guo, M Wang
arXiv preprint arXiv:2405.19715, 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
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