Push-Based Network-efficient Hadoop YARN Scheduling Mechanism for In-Memory Computing. - Rong Gu; Kaixuan Huang; Zhixiang Zhang; Chunfeng Yuan; Yihua Huang 001 (ICPADS, 2019)

On the Convergence of FedAvg on Non-IID Data. - Xiang Li 050; Kaixuan Huang; Wenhao Yang; Shusen Wang; Zhihua Zhang 004 (ICLR, 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 (NeurIPS, 2020)

High Precision Indoor Localization with Dummy Antennas - An Experimental Study. - Kaixuan Huang; Chenlu Xiang; Shunqing Zhang; Shugong Xu; Xianfeng Ma; Qinglong Xian; Hua Yang (GLOBECOM, 2021)

Fast Federated Learning in the Presence of Arbitrary Device Unavailability. - Xinran Gu; Kaixuan Huang; Jingzhao Zhang; Longbo Huang (NeurIPS, 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 001 (NeurIPS, 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 001 (NeurIPS, 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)

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)

A Variational Auto-Encoder Enabled Multi-Band Channel Prediction Scheme for Indoor Localization. - Ruihao Yuan; Kaixuan Huang; Pan Yang 026; Shunqing Zhang (ICC, 2023)

Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. - Zheng Yu; Yikuan Li; Joseph C. Kim; Kaixuan Huang; Yuan Luo 001; Mengdi Wang (ICLR, 2023)

Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data. - Minshuo Chen; Kaixuan Huang; Tuo Zhao; Mengdi Wang (ICML, 2023)

Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. - Hui Yuan 002; Kaixuan Huang; Chengzhuo Ni; Minshuo Chen; Mengdi Wang (NeurIPS, 2023)

Hybrid Cascaded and Feature-Level Fusion Scheme for Multi-Modal Indoor Localization. - Siyu Tang; Kaixuan Huang; Shunqing Zhang (VTC2023-Spring, 2023)

Visual Adversarial Examples Jailbreak Large Language Models. - Xiangyu Qi; Kaixuan Huang; Ashwinee Panda; Mengdi Wang; Prateek Mittal (CoRR, 2023)

Scaling In-Context Demonstrations with Structured Attention. - Tianle Cai; Kaixuan Huang; Jason D. Lee; Mengdi Wang (CoRR, 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 001 (CoRR, 2023)

Observation of entanglement transition of pseudo-random mixed states. - Tong Liu; Shang Liu; Hekang Li; Hao Li; Kaixuan Huang; Zhongcheng Xiang; Xiaohui Song; Kai Xu; Dongning Zheng; Heng Fan (Zenodo, 2023)

Visual Adversarial Examples Jailbreak Aligned Large Language Models. - Xiangyu Qi; Kaixuan Huang; Ashwinee Panda; Peter Henderson 002; Mengdi Wang; Prateek Mittal (AAAI, 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 002 (ICML, 2024)

A Theoretical Perspective for Speculative Decoding Algorithm. - Ming Yin 003; Minshuo Chen; Kaixuan Huang; Mengdi Wang (NeurIPS, 2024)

A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization. - Ruihao Yuan; Kaixuan Huang; Yuru Duan; Shunqing Zhang (WCNC, 2024)

Heterogeneous Feature Fusion Approach for Multi-Modal Indoor Localization. - Junyi Zhou; Kaixuan Huang; Siyu Tang; Shunqing Zhang (WCNC, 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 001; Mengdi Wang (CoRR, 2024)

Diffusion Model for Data-Driven Black-Box Optimization. - Zihao Li; Hui Yuan 002; Kaixuan Huang; Chengzhuo Ni; Yinyu Ye 001; Minshuo Chen; Mengdi Wang (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)

A Novel Cross-band CSI Prediction Scheme for Multi-band Fingerprint based Localization. - Ruihao Yuan; Kaixuan Huang; Shunqing Zhang (CoRR, 2024)

AI Risk Management Should Incorporate Both Safety and Security. - Xiangyu Qi; Yangsibo Huang; Yi Zeng 005; Edoardo Debenedetti; Jonas Geiping; Luxi He; Kaixuan Huang; Udari Madhushani; Vikash Sehwag; Weijia Shi; Boyi Wei; Tinghao Xie; et al. (CoRR, 2024)

SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths. - Kaixuan Huang; Xudong Guo; Mengdi Wang (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; et al. (CoRR, 2024)

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors. - Tinghao Xie; Xiangyu Qi; Yi Zeng 005; Yangsibo Huang; Udari Madhushani Sehwag; Kaixuan Huang; Luxi He; Boyi Wei; Dacheng Li; Ying Sheng 007; Ruoxi Jia 001; Bo Li 026; et al. (CoRR, 2024)

Latent Diffusion Models for Controllable RNA Sequence Generation. - Kaixuan Huang; Yukang Yang; Kaidi Fu; Yanyi Chu; Le Cong; Mengdi Wang (CoRR, 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)

A robust quantum nonlinear solver based on the asymptotic numerical method. - Yongchun Xu; Zengtao Kuang; Qun Huang 008; Jie Yang 069; Hamid Zahrouni; Michel Potier-Ferry; Kaixuan Huang; Jia-Chi Zhang; Heng Fan; Heng Hu (CoRR, 2024)

Optimize data association of point cloud to improve the quality of mapping and positioning. - Guangbing Zhou; Letian Quan; Kaixuan Huang; Shunqing Zhang; Shugong Xu (Ind. Robot, 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)

Author Correction: 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)

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal. - Tinghao Xie; Xiangyu Qi; Yi Zeng 005; Yangsibo Huang; Udari Madhushani Sehwag; Kaixuan Huang; Luxi He; Boyi Wei; Dacheng Li; Ying Sheng 007; Ruoxi Jia 001; Bo Li 026; et al. (ICLR, 2025)

FedMWAD: Module-wise weighted aggregation federated learning combined with Ditto for patient-independent seizure prediction. - Yulan Ding; Wenshan Zhao; Kaixuan Huang (Inf. Process. Manag., 2025)

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations. - Kaixuan Huang; Jiacheng Guo; Zihao Li; Xiang Ji; Jiawei Ge 003; Wenzhe Li; Yingqing Guo; Tianle Cai; Hui Yuan 002; Runzhe Wang; Yue Wu; Ming Yin; et al. (CoRR, 2025)

Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models. - Yukang Yang; Declan Campbell; Kaixuan Huang; Mengdi Wang; Jonathan D. Cohen 003; Taylor W. Webb (CoRR, 2025)

Temporal Consistency for LLM Reasoning Process Error Identification. - Jiacheng Guo; Yue Wu; Jiahao Qiu; Kaixuan Huang; Xinzhe Juan; Ling Yang; Mengdi Wang (CoRR, 2025)

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks. - Guangjin Pan; Kaixuan Huang; Hui Chen 014; Shunqing Zhang; Christian Häger; Henk Wymeersch (CoRR, 2025)

On Path to Multimodal Historical Reasoning: HistBench and HistAgent. - Jiahao Qiu; Fulian Xiao; Yimin Wang; Yuchen Mao; Yijia Chen; Xinzhe Juan; Siran Wang; Xuan Qi; Tongcheng Zhang; Zixin Yao; Jiacheng Guo; Yifu Lu; et al. (CoRR, 2025)

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution. - Jiahao Qiu; Xuan Qi; Tongcheng Zhang; Xinzhe Juan; Jiacheng Guo; Yifu Lu; Yimin Wang; Zixin Yao; Qihan Ren; Xun Jiang; Xing Zhou; Dongrui Liu; et al. (CoRR, 2025)

A Unified QoS-Aware Multiplexing Framework for Next-Generation Immersive Communication With Legacy Wireless Applications. - Jihong Li; Shunqing Zhang; Tao Yu 008; Guangjin Pan; Kaixuan Huang; Xiaojing Chen 001; Yanzan Sun; Junyu Liu; Jiandong Li 001; Derrick Wing Kwan Ng (IEEE Internet Things J., 2025)

A Three-Stage Physics-Driven Transmission Scheme for Integrated Sensing and Communication Systems With Noisy Angular Information. - Huangyun Su; Lixiang Lian; Kaixuan Huang; Shunqing Zhang (IEEE Wirel. Commun. Lett., 2025)