Kaixiang Lin

I am an applied scientist at Amazon Alexa AI, where I work on Emboided AI.

Previously, I completed my Ph.D. in computer science at MSU and my B.S. in electronic engineering and information science at USTC.

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News
  • [Dec 2020] We are looking for research interns in Embodied AI at Alexa AI; Please feel free to email me.
  • [Oct 2020] I joined Amazon Alexa AI as an applied scientist.
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Publications

Preprints





2020

Off-Policy Imitation Learning from Observations
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
Neural Information Processing Systems (NeurIPS), 2020
PDF / code

Ranking Policy Gradient
Kaixiang Lin, Jiayu Zhou
International Conference on Learning Representations (ICLR), 2020
PDF / code / slides


2018

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
Kaixiang Lin, Renyu Zhao Zhe Xu Jiayu Zhou
24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018 (Oral)
PDF / code / talk


2017

Privacy-preserving distributed multi-task learning with asynchronous updates
Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou
23th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
PDF


2016

Interactive Multi-Task Relationship Learning
Kaixiang Lin, Jiayu Zhou
The IEEE International Conference on Data Mining series (ICDM), 2016
PDF/ code / slides

Multi-Task Feature Interaction Learning
Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou
22th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016
PDF / code

Stochastic convex sparse principal component analysis
Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K Jain, Jiayu Zhou
EURASIP Journal on Bioinformatics and Systems Biology , 2016
PDF




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