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ORCIDKaixuan Huang
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2020 – today
- 2024
[j1]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): 449-460 (2024)- [c16]Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal:
Visual Adversarial Examples Jailbreak Aligned Large Language Models. AAAI 2024: 21527-21536 - [c15]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. ICML 2024 - [c14]Ruihao Yuan, Kaixuan Huang, Yuru Duan, Shunqing Zhang:
A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization. WCNC 2024: 1-6 - [c13]Junyi Zhou, Kaixuan Huang, Siyu Tang, Shunqing Zhang:
Heterogeneous Feature Fusion Approach for Multi-Modal Indoor Localization. WCNC 2024: 1-6 - [i24]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 abs/2402.05162 (2024) - [i23]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 abs/2403.12482 (2024) - [i22]Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang:
Diffusion Model for Data-Driven Black-Box Optimization. CoRR abs/2403.13219 (2024) - [i21]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 abs/2404.18021 (2024) - [i20]Ruihao Yuan, Kaixuan Huang, Shunqing Zhang:
A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization. CoRR abs/2405.03842 (2024) - [i19]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 abs/2405.19524 (2024) - [i18]Kaixuan Huang, Xudong Guo, Mengdi Wang:
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths. CoRR abs/2405.19715 (2024) - [i17]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 abs/2406.12195 (2024) - [i16]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 abs/2406.14598 (2024) - [i15]Kaixuan Huang, Yukang Yang, Kaidi Fu, Yanyi Chu, Le Cong, Mengdi Wang:
Latent Diffusion Models for Controllable RNA Sequence Generation. CoRR abs/2409.09828 (2024) - 2023
- [c12]Ruihao Yuan, Kaixuan Huang, Pan Yang, Shunqing Zhang:
A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization. ICC 2023: 571-576 - [c11]Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang:
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. ICLR 2023 - [c10]Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang:
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. ICML 2023: 4672-4712 - [c9]Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang:
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. NeurIPS 2023 - [c8]Siyu Tang, Kaixuan Huang, Shunqing Zhang:
Hybrid Cascaded and Feature-Level Fusion Scheme for Multi-Modal Indoor Localization. VTC2023-Spring 2023: 1-6 - [i14]Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang:
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. CoRR abs/2302.07194 (2023) - [i13]Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang:
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. CoRR abs/2302.10261 (2023) - [i12]Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal:
Visual Adversarial Examples Jailbreak Large Language Models. CoRR abs/2306.13213 (2023) - [i11]Tianle Cai, Kaixuan Huang, Jason D. Lee, Mengdi Wang:
Scaling In-Context Demonstrations with Structured Attention. CoRR abs/2307.02690 (2023) - [i10]Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang:
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. CoRR abs/2307.07055 (2023) - [i9]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 abs/2309.08560 (2023) - [i8]Ruihao Yuan, Kaixuan Huang, Pan Yang, Shunqing Zhang:
A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization. CoRR abs/2309.12200 (2023) - 2022
- [i7]Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang:
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. CoRR abs/2206.14846 (2022) - 2021
- [c7]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: 1-6 - [c6]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: 8968-8983 - [c5]Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang:
Fast Federated Learning in the Presence of Arbitrary Device Unavailability. NeurIPS 2021: 12052-12064 - [c4]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: 29101-29115 - [i6]Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang:
Fast Federated Learning in the Presence of Arbitrary Device Unavailability. CoRR abs/2106.04159 (2021) - [i5]Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei:
A Short Note on the Relationship of Information Gain and Eluder Dimension. CoRR abs/2107.02377 (2021) - [i4]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 abs/2107.04518 (2021) - [i3]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 abs/2107.06466 (2021) - 2020
- [c3]Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang:
On the Convergence of FedAvg on Non-IID Data. ICLR 2020 - [c2]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 - [i2]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 abs/2002.06262 (2020)
2010 – 2019
- 2019
- [c1]Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan, Yihua Huang:
Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing. ICPADS 2019: 133-140 - [i1]Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang:
On the Convergence of FedAvg on Non-IID Data. CoRR abs/1907.02189 (2019)
Coauthor Index
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