Kaixuan Huang

According to our database, Kaixuan Huang authored at least 32 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions.

Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang

Nat. Mac. Intell., 2024

TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling.

Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang

CoRR, 2024

Latent Diffusion Models for Controllable RNA Sequence Generation.

Kaixuan Huang, Yukang Yang, Kaidi Fu, Yanyi Chu, Le Cong, Mengdi Wang

CoRR, 2024

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors.

Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

CoRR, 2024

Quantum Compiling with Reinforcement Learning on a Superconducting Processor.

Z. T. Wang, Qiuhao Chen, Yuxuan Du, Z. H. Yang, Xiaoxia Cai, Kaixuan Huang, Jingning Zhang, Kai Xu, Jun Du, Yinan Li, Yuling Jiao, Xingyao Wu, Wu Liu, Xiliang Lu, Huikai Xu, Yirong Jin, Ruixia Wang, Haifeng Yu, S. P. Zhao

CoRR, 2024

SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths.

Kaixuan Huang, Xudong Guo, Mengdi Wang

CoRR, 2024

AI Risk Management Should Incorporate Both Safety and Security.

Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal

CoRR, 2024

A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization.

Ruihao Yuan, Kaixuan Huang, Shunqing Zhang

CoRR, 2024

CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments.

Kaixuan Huang, Yuanhao Qu, Henry Cousins, William A. Johnson, Di Yin, Mihir Shah, Denny Zhou, Russ B. Altman, Mengdi Wang, Le Cong

CoRR, 2024

Diffusion Model for Data-Driven Black-Box Optimization.

Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang

CoRR, 2024

Embodied LLM Agents Learn to Cooperate in Organized Teams.

Xudong Guo, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, Mengdi Wang

CoRR, 2024

Heterogeneous Feature Fusion Approach for Multi-Modal Indoor Localization.

Junyi Zhou, Kaixuan Huang, Siyu Tang, Shunqing Zhang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization.

Ruihao Yuan, Kaixuan Huang, Yuru Duan, Shunqing Zhang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.

Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Visual Adversarial Examples Jailbreak Aligned Large Language Models.

Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources.

Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo

CoRR, 2023

Scaling In-Context Demonstrations with Structured Attention.

Tianle Cai, Kaixuan Huang, Jason D. Lee, Mengdi Wang

CoRR, 2023

Visual Adversarial Examples Jailbreak Large Language Models.

Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal

CoRR, 2023

Hybrid Cascaded and Feature-Level Fusion Scheme for Multi-Modal Indoor Localization.

Siyu Tang, Kaixuan Huang, Shunqing Zhang

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement.

Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data.

Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang

Proceedings of the International Conference on Machine Learning, 2023

Deep Reinforcement Learning for Cost-Effective Medical Diagnosis.

Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization.

Ruihao Yuan, Kaixuan Huang, Pan Yang, Shunqing Zhang

Proceedings of the IEEE International Conference on Communications, 2023

2022

Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization.

Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang

CoRR, 2022

2021

A Short Note on the Relationship of Information Gain and Eluder Dimension.

Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei

CoRR, 2021

Optimal Gradient-based Algorithms for Non-concave Bandit Optimization.

Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Going Beyond Linear RL: Sample Efficient Neural Function Approximation.

Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Federated Learning in the Presence of Arbitrary Device Unavailability.

Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

High Precision Indoor Localization with Dummy Antennas - An Experimental Study.

Kaixuan Huang, Chenlu Xiang, Shunqing Zhang, Shugong Xu, Xianfeng Ma, Qinglong Xian, Hua Yang

Proceedings of the IEEE Global Communications Conference, 2021

2020

Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective.

Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Convergence of FedAvg on Non-IID Data.

Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing.

Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan, Yihua Huang

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019