Kaixiang Lin - RankMe

51 papers A* 11A 2Journal 34Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A 95.3% 12-Class, 108-nJ/Inference Keyword Spotting Chip With Hybrid FFT-BFNet Architecture and Exponent-Aware Nonuniform Quantization in 65-nm CMOS. IEEE Trans. Very Large Scale Integr. Syst. Zongpei Fu, Kaixiang Lin, Xiaojin Zhao, Lei Ge, Wen Bin Ye
2025	J	`jnl`	Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach. CoRR Xinnan Zhang, Chenliang Li, Siliang Zeng, Jiaxiang Li, Zhongruo Wang, Kaixiang Lin, Songtao Lu, Alfredo García, Mingyi Hong
2025	A*	`conf`	Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. ICLR Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
2025	J	`jnl`	Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. CoRR Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin
2025	J	`jnl`	Evaluating Long-Context Reasoning in LLM-Based WebAgents. CoRR Andy Chung, Yichi Zhang, Kaixiang Lin, Aditya Rawal, Qiaozi Gao, Joyce Chai
2025	A*	`conf`	Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents. ICML Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li
2025	A*	`conf`	Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs. EMNLP Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika, Kaixiang Lin, Mingyi Hong, Mahdi Namazifar
2024	J	`jnl`	An Energy-Efficient Edge Processor for Radar-Based Continuous Fall Detection Utilizing Mixed-Radix FFT and Updated Blockwise Computation. IEEE Internet Things J. Juhua Chen, Kaixiang Lin, Linxin Yang, Wen Bin Ye
2024	—	`conf`	Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. ACL (Findings) Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Lijia Sun, Xibin Gao, Yi Zhang
2024	J	`jnl`	Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. CoRR Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Justin Sun, Xibin Gao, Yi Zhang
2024	J	`jnl`	KeyLight: Intelligent Traffic Signal Control Method Based on Improved Graph Neural Network. IEEE Trans. Consumer Electron. Yi Sun, Kaixiang Lin, Ali Kashif Bashir
2024	J	`jnl`	Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents. CoRR Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li
2024	—	`conf`	Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation. EMNLP (Findings) Subramanian Chidambaram, Li Erran Li, Min Bai, Xiaopeng Li, Kaixiang Lin, Xiong Zhou, Alex C. Williams
2023	J	`jnl`	A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg. J. Artif. Intell. Res. Zhaonan Qu, Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou
2023	—	`conf`	Automated Few-Shot Classification with Instruction-Finetuned Language Models. EMNLP (Findings) Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
2023	J	`jnl`	Automated Few-shot Classification with Instruction-Finetuned Language Models. CoRR Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
2023	J	`jnl`	Transfer Learning in Deep Reinforcement Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, Jiayu Zhou
2022	J	`jnl`	An Effective Reconstruction Method of the APT Attack Based on Hidden Markov Model. J. Circuits Syst. Comput. Yonghui Huang, Yi Sun, Kaixiang Lin, Bowen Xie, Jiayang Fan, Yan Ma
2022	J	`jnl`	CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. CoRR Vasu Sharma, Prasoon Goyal, Kaixiang Lin, Govind Thattai, Qiaozi Gao, Gaurav S. Sukhatme
2022	J	`jnl`	DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. CoRR Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme
2022	J	`jnl`	DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. IEEE Robotics Autom. Lett. Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme
2022	J	`jnl`	Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. CoRR Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai
2022	J	`jnl`	Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. Trans. Mach. Learn. Res. Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai
2022	A	`conf`	Learning to Act with Affordance-Aware Multimodal Neural SLAM. IROS Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme
2022	J	`jnl`	Learning to Act with Affordance-Aware Multimodal Neural SLAM. CoRR Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme
2022	J	`jnl`	PMRSS: Privacy-Preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare. IEEE Trans. Ind. Informatics Yi Sun, Jie Liu, Keping Yu, Mamoun Alazab, Kaixiang Lin
2022	J	`jnl`	Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic. CoRR Soumajyoti Sarkar, Kaixiang Lin, Sailik Sengupta, Leonard Lausen, Sheng Zha, Saab Mansour
2022	A*	`conf`	Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations. AAAI Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
2021	J	`jnl`	High-Performance Isolation Computing Technology for Smart IoT Healthcare in Cloud Environments. IEEE Internet Things J. Yin Zhang, Yi Sun, Renchao Jin, Kaixiang Lin, Wei Liu
2021	J	`jnl`	LUMINOUS: Indoor Scene Generation for Embodied AI Challenges. CoRR Yizhou Zhao, Kaixiang Lin, Zhiwei Jia, Qiaozi Gao, Govind Thattai, Jesse Thomason, Gaurav S. Sukhatme
2021	J	`jnl`	Off-Policy Imitation Learning from Observations. CoRR Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
2021	A*	`conf`	RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. IJCAI Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
2020	J	`jnl`	Federated Learning's Blessing: FedAvg has Linear Speedup. CoRR Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou
2020	J	`jnl`	Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations. CoRR Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
2020	A*	`conf`	Off-Policy Imitation Learning from Observations. NeurIPS Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
2020	J	`jnl`	PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. CoRR Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin
2020	A*	`conf`	Ranking Policy Gradient. ICLR Kaixiang Lin, Jiayu Zhou
2020	J	`jnl`	Transfer Learning in Deep Reinforcement Learning: A Survey. CoRR Zhuangdi Zhu, Kaixiang Lin, Jiayu Zhou
2019	J	`jnl`	Ranking Policy Gradient. CoRR Kaixiang Lin, Jiayu Zhou
2018	J	`jnl`	Differentially Private Generative Adversarial Network. CoRR Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou
2018	A*	`conf`	Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. KDD Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou
2018	J	`jnl`	Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. CoRR Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou
2018	J	`jnl`	Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation. CoRR Fengyi Tang, Kaixiang Lin, Ikechukwu Uchendu, Hiroko H. Dodge, Jiayu Zhou
2017	J	`jnl`	Collaborative Deep Reinforcement Learning. CoRR Kaixiang Lin, Shu Wang, Jiayu Zhou
2017	A*	`conf`	Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates. KDD Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou
2016	A*	`conf`	Interactive Multi-task Relationship Learning. ICDM Kaixiang Lin, Jiayu Zhou
2016	A*	`conf`	Multi-Task Feature Interaction Learning. KDD Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou
2016	J	`jnl`	PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records. IEEE Trans. Multim. Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
2016	J	`jnl`	Stochastic convex sparse principal component analysis. EURASIP J. Bioinform. Syst. Biol. Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
2016	A	`conf`	Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. SDM Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
2014	—	`conf`	Category-based dynamic recommendations adaptive to user interest drifts. WCSP Kaixiang Lin, Dong Liu