Kaixuan Huang - RankMe

71 papers A* 15A 1B 4Journal 47Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Low-Complexity Joint Antenna Selection and Beamforming Scheme for Single-Anchor Multi-Antenna SPEB-Based Indoor Localization. IEEE Wirel. Commun. Lett. Bo Zhang, Kaixuan Huang, Shunqing Zhang, Saibin Yao, Zhenwei Jiang, Yi Zeng
2026	J	`jnl`	Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity. CoRR Zixuan Zhang, Kaixuan Huang, Tuo Zhao, Mengdi Wang, Minshuo Chen
2026	J	`jnl`	Embodied LLM Agents Learn to Cooperate in Organized Teams. IEEE Trans. Comput. Soc. Syst. Xudong Guo, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, Mengdi Wang
2026	J	`jnl`	TFSCL: A Novel Time-Frequency Similarity Contrastive Learning Method With Hybrid Augmentation for Robust and Accurate Specific Emitter Identification. IEEE Trans. Inf. Forensics Secur. Kaixuan Huang, Yongtao Ma, Jialu Zhu, Yuxiang Han
2025	J	`jnl`	A Three-Stage Physics-Driven Transmission Scheme for Integrated Sensing and Communication Systems With Noisy Angular Information. IEEE Wirel. Commun. Lett. Huangyun Su, Lixiang Lian, Kaixuan Huang, Shunqing Zhang
2025	J	`jnl`	A Unified QoS-Aware Multiplexing Framework for Next Generation Immersive Communication with Legacy Wireless Applications. CoRR Jihong Li, Shunqing Zhang, Tao Yu, Guangjin Pan, Kaixuan Huang, Xiaojing Chen, Yanzan Sun, Junyu Liu, Jiandong Li, Derrick Wing Kwan Ng
2025	J	`jnl`	A Unified QoS-Aware Multiplexing Framework for Next-Generation Immersive Communication With Legacy Wireless Applications. IEEE Internet Things J. Jihong Li, Shunqing Zhang, Tao Yu, Guangjin Pan, Kaixuan Huang, Xiaojing Chen, Yanzan Sun, Junyu Liu, Jiandong Li, Derrick Wing Kwan Ng
2025	J	`jnl`	Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution. CoRR Jiahao Qiu, Xuan Qi, Tongcheng Zhang, Xinzhe Juan, Jiacheng Guo, Yifu Lu, Yimin Wang, Zixin Yao, Qihan Ren, Xun Jiang, Xing Zhou, Dongrui Liu, Ling Yang, Yue Wu, Kaixuan Huang, Shilong Liu, Hongru Wang, Mengdi Wang
2025	J	`jnl`	CryptoBench: A Dynamic Benchmark for Expert-Level Evaluation of LLM Agents in Cryptocurrency. CoRR Jiacheng Guo, Suozhi Huang, Zixin Yao, Yifan Zhang, Yifu Lu, Jiashuo Liu, Zihao Li, Nicholas Deng, Qixin Xiao, Jia Tian, Kanghong Zhan, Tianyi Li, Xiaochen Liu, Jason Ge, Chaoyang He, Kaixuan Huang, Lin Yang, Wenhao Huang, Mengdi Wang
2025	A*	`conf`	Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources. IJCAI Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
2025	A*	`conf`	Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models. ICML Yukang Yang, Declan Campbell, Kaixuan Huang, Mengdi Wang, Jonathan D. Cohen, Taylor Whittington Webb
2025	J	`jnl`	Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models. CoRR Yukang Yang, Declan Campbell, Kaixuan Huang, Mengdi Wang, Jonathan D. Cohen, Taylor W. Webb
2025	J	`jnl`	FedMWAD: Module-wise weighted aggregation federated learning combined with Ditto for patient-independent seizure prediction. Inf. Process. Manag. Yulan Ding, Wenshan Zhao, Kaixuan Huang
2025	J	`jnl`	Green Wireless Network Scaling for Joint Deployment: Multi-BSs or Multi-RISs? CoRR Tao Yu, Simin Wang, Shunqing Zhang, Mingyao Cui, Kaibin Huang, Wen Chen, Qingqing Wu, Jihong Li, Kaixuan Huang
2025	J	`jnl`	Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks. CoRR Guangjin Pan, Kaixuan Huang, Hui Chen, Shunqing Zhang, Christian Häger, Henk Wymeersch
2025	A*	`conf`	MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. ICML Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang
2025	J	`jnl`	MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. CoRR Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang
2025	J	`jnl`	On Path to Multimodal Historical Reasoning: HistBench and HistAgent. CoRR Jiahao Qiu, Fulian Xiao, Yimin Wang, Yuchen Mao, Yijia Chen, Xinzhe Juan, Siran Wang, Xuan Qi, Tongcheng Zhang, Zixin Yao, Jiacheng Guo, Yifu Lu, Charles Argon, Jundi Cui, Daixin Chen, Junran Zhou, Shuyao Zhou, Zhanpeng Zhou, Ling Yang, Shilong Liu, Hongru Wang, Kaixuan Huang, Xun Jiang, Yuming Cao, Yue Chen, Yunfei Chen, Zhengyi Chen, Ruowei Dai, Mengqiu Deng, Jiye Fu, Yunting Gu, Zijie Guan, Zirui Huang, Xiaoyan Ji, Yumeng Jiang, Delong Kong, Haolong Li, Jiaqi Li, Ruipeng Li, Tianze Li, Zhuoran Li, Haixia Lian, Mengyue Lin, Xudong Liu, Jiayi Lu, Jinghan Lu, Wanyu Luo, Ziyue Luo, Zihao Pu, Zhi Qiao, Ruihuan Ren, Liang Wan, Ruixiang Wang, Tianhui Wang, Yang Wang, Zeyu Wang, Zihua Wang, Yujia Wu, Zhaoyi Wu, Hao Xin, Weiao Xing, Ruojun Xiong, Weijie Xu, Yao Shu, Xiao Yao, Xiaorui Yang, Yuchen Yang, Nan Yi, Jiadong Yu, Yangyuxuan Yu, Huiting Zeng, Danni Zhang, Yunjie Zhang, Zhaoyu Zhang, Zhiheng Zhang, Xiaofeng Zheng, Peirong Zhou, Linyan Zhong, Xiaoyin Zong, Ying Zhao, Zhenxin Chen, Lin Ding, Xiaoyu Gao, Bingbing Gong, Yichao Li, Yang Liao, Guang Ma, Tianyuan Ma, Xinrui Sun, Tianyi Wang, Han Xia, Ruobing Xian, Gen Ye, Tengfei Yu, Wentao Zhang, Yuxi Wang, Xi Gao, Mengdi Wang
2025	A*	`conf`	SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. ICLR 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
2025	J	`jnl`	TREE:Token-Responsive Energy Efficiency Framework For Green AI-Integrated 6G Networks. CoRR Tao Yu, Kaixuan Huang, Tengsheng Wang, Jihong Li, Shunqing Zhang, Shuangfeng Han, Xiaoyun Wang, Qunsong Zeng, Kaibin Huang, Vincent K. N. Lau
2025	—	`conf`	Temporal Consistency for LLM Reasoning Process Error Identification. EMNLP (Findings) Jiacheng Guo, Yue Wu, Jiahao Qiu, Kaixuan Huang, Xinzhe Juan, Ling Yang, Mengdi Wang
2025	J	`jnl`	Temporal Consistency for LLM Reasoning Process Error Identification. CoRR Jiacheng Guo, Yue Wu, Jiahao Qiu, Kaixuan Huang, Xinzhe Juan, Ling Yang, Mengdi Wang
2025	A	`conf`	Transformer-Based Multi-Agent Reinforcement Learning Method With Credit-Oriented Strategy Differentiation. IROS Kaixuan Huang, Bo Jin, Kun Zhang, Haiyin Piao, Ziqi Wei
2025	—	`conf`	TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. EMNLP (Findings) Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Chenhao Zhu, Xinzhe Juan, Ling Yang, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang
2024	J	`jnl`	A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions. Nat. Mac. Intell. Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang
2024	B	`conf`	A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization. WCNC Ruihao Yuan, Kaixuan Huang, Yuru Duan, Shunqing Zhang
2024	J	`jnl`	A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization. CoRR Ruihao Yuan, Kaixuan Huang, Shunqing Zhang
2024	A*	`conf`	A Theoretical Perspective for Speculative Decoding Algorithm. NeurIPS Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi Wang
2024	J	`jnl`	A Theoretical Perspective for Speculative Decoding Algorithm. CoRR Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi Wang
2024	J	`jnl`	A robust quantum nonlinear solver based on the asymptotic numerical method. CoRR Yongchun Xu, Zengtao Kuang, Qun Huang, Jie Yang, Hamid Zahrouni, Michel Potier-Ferry, Kaixuan Huang, Jia-Chi Zhang, Heng Fan, Heng Hu
2024	J	`jnl`	AI Risk Management Should Incorporate Both Safety and Security. CoRR 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
2024	A*	`conf`	Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. ICML Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson
2024	J	`jnl`	Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. CoRR Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson
2024	J	`jnl`	Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions. Nat. Mac. Intell. Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang
2024	J	`jnl`	CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments. CoRR Kaixuan Huang, Yuanhao Qu, Henry Cousins, William A. Johnson, Di Yin, Mihir Shah, Denny Zhou, Russ B. Altman, Mengdi Wang, Le Cong
2024	J	`jnl`	Diffusion Model for Data-Driven Black-Box Optimization. CoRR Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang
2024	J	`jnl`	Embodied LLM Agents Learn to Cooperate in Organized Teams. CoRR Xudong Guo, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, Mengdi Wang
2024	B	`conf`	Heterogeneous Feature Fusion Approach for Multi-Modal Indoor Localization. WCNC Junyi Zhou, Kaixuan Huang, Siyu Tang, Shunqing Zhang
2024	J	`jnl`	Latent Diffusion Models for Controllable RNA Sequence Generation. CoRR Kaixuan Huang, Yukang Yang, Kaidi Fu, Yanyi Chu, Le Cong, Mengdi Wang
2024	J	`jnl`	Optimize data association of point cloud to improve the quality of mapping and positioning. Ind. Robot Guangbing Zhou, Letian Quan, Kaixuan Huang, Shunqing Zhang, Shugong Xu
2024	J	`jnl`	Quantum Compiling with Reinforcement Learning on a Superconducting Processor. CoRR 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
2024	J	`jnl`	SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors. CoRR 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
2024	J	`jnl`	SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths. CoRR Kaixuan Huang, Xudong Guo, Mengdi Wang
2024	J	`jnl`	TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. CoRR Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang
2024	A*	`conf`	Visual Adversarial Examples Jailbreak Aligned Large Language Models. AAAI Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal
2023	—	`conf`	A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization. ICC Ruihao Yuan, Kaixuan Huang, Pan Yang, Shunqing Zhang
2023	J	`jnl`	A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization. CoRR Ruihao Yuan, Kaixuan Huang, Pan Yang, Shunqing Zhang
2023	A*	`conf`	Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. ICLR Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
2023	J	`jnl`	Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. CoRR Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang
2023	J	`jnl`	Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. CoRR Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo
2023	—	`conf`	Hybrid Cascaded and Feature-Level Fusion Scheme for Multi-Modal Indoor Localization. VTC2023-Spring Siyu Tang, Kaixuan Huang, Shunqing Zhang
2023	A*	`conf`	Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. NeurIPS Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
2023	J	`jnl`	Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. CoRR Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
2023	J	`jnl`	Scaling In-Context Demonstrations with Structured Attention. CoRR Tianle Cai, Kaixuan Huang, Jason D. Lee, Mengdi Wang
2023	A*	`conf`	Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. ICML Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang
2023	J	`jnl`	Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. CoRR Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang
2023	J	`jnl`	Visual Adversarial Examples Jailbreak Large Language Models. CoRR Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Mengdi Wang, Prateek Mittal
2022	J	`jnl`	Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. CoRR Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang
2021	J	`jnl`	A Short Note on the Relationship of Information Gain and Eluder Dimension. CoRR Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei
2021	A*	`conf`	Fast Federated Learning in the Presence of Arbitrary Device Unavailability. NeurIPS Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang
2021	J	`jnl`	Fast Federated Learning in the Presence of Arbitrary Device Unavailability. CoRR Xinran Gu, Kaixuan Huang, Jingzhao Zhang, Longbo Huang
2021	A*	`conf`	Going Beyond Linear RL: Sample Efficient Neural Function Approximation. NeurIPS Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
2021	J	`jnl`	Going Beyond Linear RL: Sample Efficient Neural Function Approximation. CoRR Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
2021	B	`conf`	High Precision Indoor Localization with Dummy Antennas - An Experimental Study. GLOBECOM Kaixuan Huang, Chenlu Xiang, Shunqing Zhang, Shugong Xu, Xianfeng Ma, Qinglong Xian, Hua Yang
2021	A*	`conf`	Optimal Gradient-based Algorithms for Non-concave Bandit Optimization. NeurIPS Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
2021	J	`jnl`	Optimal Gradient-based Algorithms for Non-concave Bandit Optimization. CoRR Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
2020	A*	`conf`	On the Convergence of FedAvg on Non-IID Data. ICLR Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang
2020	A*	`conf`	Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective. NeurIPS Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao
2020	J	`jnl`	Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective. CoRR Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao
2019	J	`jnl`	On the Convergence of FedAvg on Non-IID Data. CoRR Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang
2019	B	`conf`	Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing. ICPADS Rong Gu, Kaixuan Huang, Zhixiang Zhang, Chunfeng Yuan, Yihua Huang