Kaixuan Huang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 39

Top Topics

Medical Diagnosis

Prediction Scheme

Diffusion Models

Top Venues

Publications

Kaixuan Huang, Yuanhao Qu, Henry Cousins, William A. Johnson, Di Yin, Mihir Shah, Denny Zhou, Russ B. Altman, Mengdi Wang, Le Cong
CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments. CoRR (2024)
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
AI Risk Management Should Incorporate Both Safety and Security. CoRR (2024)
Ruihao Yuan, Kaixuan Huang, Yuru Duan, Shunqing Zhang
A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization. WCNC (2024)
Xudong Guo, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, Mengdi Wang
Embodied LLM Agents Learn to Cooperate in Organized Teams. CoRR (2024)
Kaixuan Huang, Xudong Guo, Mengdi Wang
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths. CoRR (2024)
Ruihao Yuan, Kaixuan Huang, Shunqing Zhang
A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization. CoRR (2024)
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
Quantum Compiling with Reinforcement Learning on a Superconducting Processor. CoRR (2024)
Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang
A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions. Nat. Mac. Intell. 6 (4) (2024)
Junyi Zhou, Kaixuan Huang, Siyu Tang, Shunqing Zhang
Heterogeneous Feature Fusion Approach for Multi-Modal Indoor Localization. WCNC (2024)
Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang
Diffusion Model for Data-Driven Black-Box Optimization. CoRR (2024)
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
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors. CoRR (2024)
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal
Visual Adversarial Examples Jailbreak Aligned Large Language Models. AAAI (2024)
Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. CoRR (2024)
Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. ICML (2023)
Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. NeurIPS (2023)
Siyu Tang, Kaixuan Huang, Shunqing Zhang
Hybrid Cascaded and Feature-Level Fusion Scheme for Multi-Modal Indoor Localization. VTC2023-Spring (2023)
Tianle Cai, Kaixuan Huang, Jason D. Lee, Mengdi Wang
Scaling In-Context Demonstrations with Structured Attention. CoRR (2023)
Ruihao Yuan, Kaixuan Huang, Pan Yang, Shunqing Zhang
A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization. ICC (2023)
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal
Visual Adversarial Examples Jailbreak Large Language Models. CoRR (2023)
Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. ICLR (2023)
Zheng Yu, Yikuan Li, Joseph Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. CoRR (2023)
Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. CoRR (2023)
Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. CoRR (2023)
Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. CoRR (2023)
Ruihao Yuan, Kaixuan Huang, Pan Yang, Shunqing Zhang
A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization. CoRR (2023)
Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. CoRR (2022)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Going Beyond Linear RL: Sample Efficient Neural Function Approximation. NeurIPS (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization. CoRR (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization. NeurIPS (2021)
Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang
Fast Federated Learning in the Presence of Arbitrary Device Unavailability. CoRR (2021)
Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang
Fast Federated Learning in the Presence of Arbitrary Device Unavailability. NeurIPS (2021)
Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei
A Short Note on the Relationship of Information Gain and Eluder Dimension. CoRR (2021)
Kaixuan Huang, Chenlu Xiang, Shunqing Zhang, Shugong Xu, Xianfeng Ma, Qinglong Xian, Hua Yang
High Precision Indoor Localization with Dummy Antennas - An Experimental Study. GLOBECOM (2021)
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Going Beyond Linear RL: Sample Efficient Neural Function Approximation. CoRR (2021)
Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang
On the Convergence of FedAvg on Non-IID Data. ICLR (2020)
Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective. CoRR (2020)
Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective. NeurIPS (2020)
Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan, Yihua Huang
Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing. ICPADS (2019)
Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang
On the Convergence of FedAvg on Non-IID Data. CoRR (2019)