Kaixiang Lin

According to our database, Kaixiang Lin authored at least 36 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

IEEE Internet Things J., October, 2024

KeyLight: Intelligent Traffic Signal Control Method Based on Improved Graph Neural Network.

Yi Sun, Kaixiang Lin, Ali Kashif Bashir

IEEE Trans. Consumer Electron., February, 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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk.

Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Lijia Sun, Xibin Gao, Yi Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Transfer Learning in Deep Reinforcement Learning: A Survey.

Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, Jiayu Zhou

IEEE Trans. Pattern Anal. Mach. Intell., November, 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

Automated Few-Shot Classification with Instruction-Finetuned Language Models.

Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

PMRSS: Privacy-Preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare.

Yi Sun, Jie Liu, Keping Yu, Mamoun Alazab, Kaixiang Lin

IEEE Trans. Ind. Informatics, 2022

DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following.

Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme

IEEE Robotics Autom. Lett., 2022

An Effective Reconstruction Method of the APT Attack Based on Hidden Markov Model.

Yonghui Huang, Yi Sun, Kaixiang Lin, Bowen Xie, Jiayang Fan, Yan Ma

J. Circuits Syst. Comput., 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

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

Learning to Act with Affordance-Aware Multimodal Neural SLAM.

Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations.

Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

High-Performance Isolation Computing Technology for Smart IoT Healthcare in Cloud Environments.

Yin Zhang, Yi Sun, Renchao Jin, Kaixiang Lin, Wei Liu

IEEE Internet Things J., 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

RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection.

Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control.

Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin

CoRR, 2020

Transfer Learning in Deep Reinforcement Learning: A Survey.

Zhuangdi Zhu, Kaixiang Lin, 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

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations.

Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

CoRR, 2020

Off-Policy Imitation Learning from Observations.

Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Ranking Policy Gradient.

Kaixiang Lin, Jiayu Zhou

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Differentially Private Generative Adversarial Network.

Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou

CoRR, 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

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning.

Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Collaborative Deep Reinforcement Learning.

Kaixiang Lin, Shu Wang, Jiayu Zhou

CoRR, 2017

Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates.

Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records.

Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou

IEEE Trans. Multim., 2016

Stochastic convex sparse principal component analysis.

Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou

EURASIP J. Bioinform. Syst. Biol., 2016

Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine.

Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-Task Feature Interaction Learning.

Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Interactive Multi-task Relationship Learning.

Kaixiang Lin, Jiayu Zhou

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014

Category-based dynamic recommendations adaptive to user interest drifts.

Kaixiang Lin, Dong Liu

Proceedings of the Sixth International Conference on Wireless Communications and Signal Processing, 2014