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ORCIDKaixiang Lin
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2020 – today
- 2024
[j11]Juhua Chen
, Kaixiang Lin, Linxin Yang, Wen Bin Ye:
An Energy-Efficient Edge Processor for Radar-Based Continuous Fall Detection Utilizing Mixed-Radix FFT and Updated Blockwise Computation. IEEE Internet Things J. 11(19): 32117-32128 (2024)- [j10]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): 2861-2871 (2024) - [c13]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: 9500-9522 - [i18]Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Justin Sun, Xibin Gao, Yi Zhang:
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. CoRR abs/2401.05033 (2024) - 2023
- [j9]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: 1143-1200 (2023) - [j8]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): 13344-13362 (2023) - [c12]Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson:
Automated Few-Shot Classification with Instruction-Finetuned Language Models. EMNLP (Findings) 2023: 2414-2432 - [i17]Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson:
Automated Few-shot Classification with Instruction-Finetuned Language Models. CoRR abs/2305.12576 (2023) - 2022
- [j7]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): 2250108:1-2250108:16 (2022) - [j6]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): 10049-10056 (2022) - [j5]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): 1981-1990 (2022) - [j4]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) - [c11]Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations. AAAI 2022: 9269-9277 - [c10]Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme:
Learning to Act with Affordance-Aware Multimodal Neural SLAM. IROS 2022: 5877-5884 - [i16]Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai:
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning. CoRR abs/2201.08520 (2022) - [i15]Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme:
Learning to Act with Affordance-Aware Multimodal Neural SLAM. CoRR abs/2201.09862 (2022) - [i14]Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme:
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following. CoRR abs/2202.13330 (2022) - [i13]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 abs/2208.13626 (2022) - [i12]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 abs/2211.03966 (2022) - 2021
- [j3]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): 16872-16879 (2021) - [c9]Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou:
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. IJCAI 2021: 1505-1511 - [i11]Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Off-Policy Imitation Learning from Observations. CoRR abs/2102.13185 (2021) - [i10]Yizhou Zhao, Kaixiang Lin, Zhiwei Jia, Qiaozi Gao, Govind Thattai, Jesse Thomason, Gaurav S. Sukhatme:
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges. CoRR abs/2111.05527 (2021) - 2020
- [c8]Kaixiang Lin, Jiayu Zhou:
Ranking Policy Gradient. ICLR 2020 - [c7]Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Off-Policy Imitation Learning from Observations. NeurIPS 2020 - [i9]Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations. CoRR abs/2004.00530 (2020) - [i8]Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou:
Federated Learning's Blessing: FedAvg has Linear Speedup. CoRR abs/2007.05690 (2020) - [i7]Zhuangdi Zhu, Kaixiang Lin, Jiayu Zhou:
Transfer Learning in Deep Reinforcement Learning: A Survey. CoRR abs/2009.07888 (2020) - [i6]Dong Chen, Zhaojian Li, Tianshu Chu, Rui Yao, Feng Qiu, Kaixiang Lin:
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. CoRR abs/2011.12354 (2020)
2010 – 2019
- 2019
- [i5]Kaixiang Lin, Jiayu Zhou:
Ranking Policy Gradient. CoRR abs/1906.09674 (2019) - 2018
- [c6]Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou:
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. KDD 2018: 1774-1783 - [i4]Fengyi Tang, Kaixiang Lin, Ikechukwu Uchendu, Hiroko H. Dodge, Jiayu Zhou:
Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation. CoRR abs/1802.06428 (2018) - [i3]Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou:
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. CoRR abs/1802.06444 (2018) - [i2]Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou:
Differentially Private Generative Adversarial Network. CoRR abs/1802.06739 (2018) - 2017
- [c5]Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou:
Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates. KDD 2017: 1195-1204 - [i1]Kaixiang Lin, Shu Wang, Jiayu Zhou:
Collaborative Deep Reinforcement Learning. CoRR abs/1702.05796 (2017) - 2016
- [j2]Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou:
Stochastic convex sparse principal component analysis. EURASIP J. Bioinform. Syst. Biol. 2016: 15 (2016) - [j1]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): 2257-2270 (2016) - [c4]Kaixiang Lin, Jiayu Zhou:
Interactive Multi-task Relationship Learning. ICDM 2016: 241-250 - [c3]Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou:
Multi-Task Feature Interaction Learning. KDD 2016: 1735-1744 - [c2]Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou:
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. SDM 2016: 108-116 - 2014
- [c1]Kaixiang Lin, Dong Liu:
Category-based dynamic recommendations adaptive to user interest drifts. WCSP 2014: 1-6
Coauthor Index
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last updated on 2024-10-04 21:04 CEST by the dblp team
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