Kaixiang Lin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 40

Top Topics

Sparse Principal Component Analysis

Reinforcement Learning

Differentially Private

Top Venues

IEEE Robotics Autom. Lett.

Publications

Yi Sun, Kaixiang Lin, Ali Kashif Bashir
KeyLight: Intelligent Traffic Signal Control Method Based on Improved Graph Neural Network. IEEE Trans. Consumer Electron. 70 (1) (2024)
Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Justin Sun, Xibin Gao, Yi Zhang
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. CoRR (2024)
Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Lijia Sun, Xibin Gao, Yi Zhang
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. ACL (Findings) (2024)
Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, Jiayu Zhou
Transfer Learning in Deep Reinforcement Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
Automated Few-Shot Classification with Instruction-Finetuned Language Models. EMNLP (Findings) (2023)
Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
Automated Few-shot Classification with Instruction-Finetuned Language Models. CoRR (2023)
Zhaonan Qu, Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou
A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg. J. Artif. Intell. Res. 78 (2023)
Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022)
Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme
Learning to Act with Affordance-Aware Multimodal Neural SLAM. IROS (2022)
Vasu Sharma, Prasoon Goyal, Kaixiang Lin, Govind Thattai, Qiaozi Gao, Gaurav S. Sukhatme
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. CoRR (2022)
Soumajyoti Sarkar, Kaixiang Lin, Sailik Sengupta, Leonard Lausen, Sheng Zha, Saab Mansour
Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic. CoRR (2022)
Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. CoRR (2022)
Yi Sun, Jie Liu, Keping Yu, Mamoun Alazab, Kaixiang Lin
PMRSS: Privacy-Preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare. IEEE Trans. Ind. Informatics 18 (3) (2022)
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations. AAAI (2022)
Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. IEEE Robotics Autom. Lett. 7 (4) (2022)
Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav Sukhatme
Learning to Act with Affordance-Aware Multimodal Neural SLAM. CoRR (2022)
Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. CoRR (2022)
Yonghui Huang, Yi Sun, Kaixiang Lin, Bowen Xie, Jiayang Fan, Yan Ma
An Effective Reconstruction Method of the APT Attack Based on Hidden Markov Model. J. Circuits Syst. Comput. 31 (6) (2022)
Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. IJCAI (2021)
Yin Zhang, Yi Sun, Renchao Jin, Kaixiang Lin, Wei Liu
High-Performance Isolation Computing Technology for Smart IoT Healthcare in Cloud Environments. IEEE Internet Things J. 8 (23) (2021)
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
Off-Policy Imitation Learning from Observations. CoRR (2021)
Yizhou Zhao, Kaixiang Lin, Zhiwei Jia, Qiaozi Gao, Govind Thattai, Jesse Thomason, Gaurav S. Sukhatme
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges. CoRR (2021)
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations. CoRR (2020)
Zhuangdi Zhu, Kaixiang Lin, Jiayu Zhou
Transfer Learning in Deep Reinforcement Learning: A Survey. CoRR (2020)
Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou
Federated Learning's Blessing: FedAvg has Linear Speedup. CoRR (2020)
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
Off-Policy Imitation Learning from Observations. NeurIPS (2020)
Kaixiang Lin, Jiayu Zhou
Ranking Policy Gradient. ICLR (2020)
Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. CoRR (2020)
Kaixiang Lin, Jiayu Zhou
Ranking Policy Gradient. CoRR (2019)
Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou
Differentially Private Generative Adversarial Network. CoRR (2018)
Fengyi Tang, Kaixiang Lin, Ikechukwu Uchendu, Hiroko H. Dodge, Jiayu Zhou
Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation. CoRR (2018)
Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. KDD (2018)
Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. CoRR (2018)
Kaixiang Lin, Shu Wang, Jiayu Zhou
Collaborative Deep Reinforcement Learning. CoRR (2017)
Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou
Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates. KDD (2017)
Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou
Multi-Task Feature Interaction Learning. KDD (2016)
Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. SDM (2016)
Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
Stochastic convex sparse principal component analysis. EURASIP J. Bioinform. Syst. Biol. 2016 (2016)
Kaixiang Lin, Jiayu Zhou
Interactive Multi-task Relationship Learning. ICDM (2016)
Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records. IEEE Trans. Multim. 18 (11) (2016)
Kaixiang Lin, Dong Liu
Category-based dynamic recommendations adaptive to user interest drifts. WCSP (2014)