Category-based dynamic recommendations adaptive to user interest drifts. - Kaixiang Lin; Dong Liu 002 (WCSP, 2014)

Interactive Multi-task Relationship Learning. - Kaixiang Lin; Jiayu Zhou (ICDM, 2016)

Multi-Task Feature Interaction Learning. - Kaixiang Lin; Jianpeng Xu; Inci M. Baytas; Shuiwang Ji; Jiayu Zhou (KDD, 2016)

Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. - Jianpeng Xu; Kaixiang Lin; Pang-Ning Tan; Jiayu Zhou (SDM, 2016)

Stochastic convex sparse principal component analysis. - Inci M. Baytas; Kaixiang Lin; Fei Wang 001; Anil K. Jain 001; Jiayu Zhou (EURASIP J. Bioinform. Syst. Biol., 2016)

PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records. - Inci M. Baytas; Kaixiang Lin; Fei Wang 001; Anil K. Jain 001; Jiayu Zhou (IEEE Trans. Multim., 2016)

Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates. - Liyang Xie; Inci M. Baytas; Kaixiang Lin; Jiayu Zhou (KDD, 2017)

Collaborative Deep Reinforcement Learning. - Kaixiang Lin; Shu Wang; Jiayu Zhou (CoRR, 2017)

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. - Kaixiang Lin; Renyu Zhao; Zhe Xu; Jiayu Zhou (KDD, 2018)

Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation. - Fengyi Tang; Kaixiang Lin; Ikechukwu Uchendu; Hiroko H. Dodge; Jiayu Zhou (CoRR, 2018)

Differentially Private Generative Adversarial Network. - Liyang Xie; Kaixiang Lin; Shu Wang; Fei Wang 001; Jiayu Zhou (CoRR, 2018)

Ranking Policy Gradient. - Kaixiang Lin; Jiayu Zhou (ICLR, 2020)

Off-Policy Imitation Learning from Observations. - Zhuangdi Zhu; Kaixiang Lin; Bo Dai 001; Jiayu Zhou (NeurIPS, 2020)

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations. - Zhuangdi Zhu; Kaixiang Lin; Bo Dai 001; Jiayu Zhou (CoRR, 2020)

Federated Learning's Blessing: FedAvg has Linear Speedup. - Zhaonan Qu; Kaixiang Lin; Jayant Kalagnanam; Zhaojian Li; Jiayu Zhou; Zhengyuan Zhou (CoRR, 2020)

Transfer Learning in Deep Reinforcement Learning: A Survey. - Zhuangdi Zhu; Kaixiang Lin; Jiayu Zhou (CoRR, 2020)

PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. - Dong Chen 016; Zhaojian Li; Tianshu Chu; Rui Yao; Feng Qiu; Kaixiang Lin (CoRR, 2020)

RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. - Boyang Liu; Ding Wang; Kaixiang Lin; Pang-Ning Tan; Jiayu Zhou (IJCAI, 2021)

LUMINOUS: Indoor Scene Generation for Embodied AI Challenges. - Yizhou Zhao; Kaixiang Lin; Zhiwei Jia; Qiaozi Gao; Govind Thattai; Jesse Thomason; Gaurav S. Sukhatme (CoRR, 2021)

High-Performance Isolation Computing Technology for Smart IoT Healthcare in Cloud Environments. - Yin Zhang 002; Yi Sun 006; Renchao Jin; Kaixiang Lin; Wei Liu (IEEE Internet Things J., 2021)

Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations. - Zhuangdi Zhu; Kaixiang Lin; Bo Dai 001; Jiayu Zhou (AAAI, 2022)

Learning to Act with Affordance-Aware Multimodal Neural SLAM. - Zhiwei Jia; Kaixiang Lin; Yizhou Zhao; Qiaozi Gao; Govind Thattai; Gaurav S. Sukhatme (IROS, 2022)

CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. - Vasu Sharma; Prasoon Goyal; Kaixiang Lin; Govind Thattai; Qiaozi Gao; Gaurav S. Sukhatme (CoRR, 2022)

Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic. - Soumajyoti Sarkar; Kaixiang Lin; Sailik Sengupta; Leonard Lausen; Sheng Zha; Saab Mansour (CoRR, 2022)

An Effective Reconstruction Method of the APT Attack Based on Hidden Markov Model. - Yonghui Huang; Yi Sun 006; Kaixiang Lin; Bowen Xie; Jiayang Fan; Yan Ma 003 (J. Circuits Syst. Comput., 2022)

DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. - Xiaofeng Gao 002; Qiaozi Gao; Ran Gong; Kaixiang Lin; Govind Thattai; Gaurav S. Sukhatme (IEEE Robotics Autom. Lett., 2022)

PMRSS: Privacy-Preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare. - Yi Sun 006; Jie Liu; Keping Yu; Mamoun Alazab; Kaixiang Lin (IEEE Trans. Ind. Informatics, 2022)

Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. - Tongzhou Mu; Kaixiang Lin; Feiyang Niu; Govind Thattai (Trans. Mach. Learn. Res., 2022)

Automated Few-Shot Classification with Instruction-Finetuned Language Models. - Rami Aly; Xingjian Shi; Kaixiang Lin; Aston Zhang; Andrew Gordon Wilson (EMNLP (Findings), 2023)

A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg. - Zhaonan Qu; Kaixiang Lin; Zhaojian Li; Jiayu Zhou; Zhengyuan Zhou (J. Artif. Intell. Res., 2023)

Transfer Learning in Deep Reinforcement Learning: A Survey. - Zhuangdi Zhu; Kaixiang Lin; Anil K. Jain 001; Jiayu Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. - Dennis Ulmer; Elman Mansimov; Kaixiang Lin; Lijia Sun; Xibin Gao; Yi Zhang (ACL (Findings), 2024)

Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation. - Subramanian Chidambaram; Li Erran Li; Min Bai; Xiaopeng Li; Kaixiang Lin; Xiong Zhou; Alex C. Williams (EMNLP (Findings), 2024)

Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. - Dennis Ulmer; Elman Mansimov; Kaixiang Lin; Justin Sun; Xibin Gao; Yi Zhang (CoRR, 2024)

Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents. - Yifei Zhou; Qianlan Yang; Kaixiang Lin; Min Bai; Xiong Zhou; Yu-Xiong Wang; Sergey Levine; Li Erran Li (CoRR, 2024)

KeyLight: Intelligent Traffic Signal Control Method Based on Improved Graph Neural Network. - Yi Sun 006; Kaixiang Lin; Ali Kashif Bashir (IEEE Trans. Consumer Electron., 2024)

An Energy-Efficient Edge Processor for Radar-Based Continuous Fall Detection Utilizing Mixed-Radix FFT and Updated Blockwise Computation. - Juhua Chen; Kaixiang Lin; Linxin Yang; Wen Bin Ye 001 (IEEE Internet Things J., 2024)

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. - Siyan Zhao; Mingyi Hong 001; Yang Liu 165; Devamanyu Hazarika; Kaixiang Lin (ICLR, 2025)

Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach. - Xinnan Zhang; Chenliang Li; Siliang Zeng; Jiaxiang Li; Zhongruo Wang; Kaixiang Lin; Songtao Lu; Alfredo García 001; Mingyi Hong 001 (CoRR, 2025)