Kaixiang Lin
Kaixiang Lin
Applied scientist, Amazon Web Services
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Citado por
Citado por
Differentially private generative adversarial network
L Xie, K Lin, S Wang, F Wang, J Zhou
arXiv preprint arXiv:1802.06739, 2018
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
K Lin, R Zhao, Z Xu, J Zhou
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge, 2018
Transfer Learning in Deep Reinforcement Learning: A Survey
Z Zhu, K Lin, J Zhou
arXiv preprint arXiv:2009.07888, 2020
Privacy-preserving distributed multi-task learning with asynchronous updates
L Xie, IM Baytas, K Lin, J Zhou
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
Off-policy imitation learning from observations
Z Zhu, K Lin, B Dai, J Zhou
Advances in Neural Information Processing Systems 33, 12402-12413, 2020
Powernet: Multi-agent deep reinforcement learning for scalable powergrid control
D Chen, K Chen, Z Li, T Chu, R Yao, F Qiu, K Lin
IEEE Transactions on Power Systems 37 (2), 1007-1017, 2021
A Unified Linear Speedup Analysis of Stochastic FedAvg and Nesterov Accelerated FedAvg
Z Qu, K Lin, Z Li, J Zhou, Z Zhou
arXiv preprint arXiv:2007.05690, 2020
Multi-Task Feature Interaction Learning
K Lin, J Xu, IM Baytas, S Ji, J Zhou
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following
X Gao, Q Gao, R Gong, K Lin, G Thattai, GS Sukhatme
IEEE Robotics Autom. Lett., 2022
Collaborative deep reinforcement learning
K Lin, S Wang, J Zhou
arXiv preprint arXiv:1702.05796, 2017
Phenotree: Interactive visual analytics for hierarchical phenotyping from large-scale electronic health records
IM Baytas, K Lin, F Wang, AK Jain, J Zhou
IEEE Transactions on Multimedia 18 (11), 2257-2270, 2016
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine
J Xu, K Lin, PN Tan, J Zhou
2016 SIAM International Conference on Data Mining (SDM16), 108-116, 2016
Ranking Policy Gradient
K Lin, J Zhou
ICLR 2020, 2019
Interactive Multi-Task Relationship Learning
K Lin, J Zhou
2016 IEEE 16th International Conference on Data Mining (ICDM), 2016
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection.
B Liu, D Wang, K Lin, PN Tan, J Zhou
IJCAI, 1505-1511, 2021
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations
Z Zhu, K Lin, B Dai, J Zhou
arXiv preprint arXiv:2004.00530, 2020
Learning to Act with Affordance-Aware Multimodal Neural SLAM
Z Jia, K Lin, Y Zhao, Q Gao, G Thattai, G Sukhatme
IROS 2022, 2022
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
Y Zhao, K Lin, Z Jia, Q Gao, G Thattai, J Thomason, GS Sukhatme
NeurIPS 2021 (CtrlGen Workshop), 2021
Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management
K Lin, R Zhao, Z Xu, J Zhou
arXiv preprint arXiv:1802.06444, 2018
Category-based dynamic recommendations adaptive to user interest drifts
K Lin, D Liu
2014 Sixth International Conference on Wireless Communications and Signal …, 2014
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Artículos 1–20