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I am currently a Ph.D. student at Purdue University, Department of Computer Science, working on Distributed Optimization (Theory) for Machine Learning with Prof. Brian Bullins. I've also worked on Statistical Learning Theory of Deep Learning with Prof. Jean Honorio.
Previously in 2020, I received my Bachelor Degree in Computer Science (with honor) from Xi'an Jiaotong University (XJTU), Qian Xuesen College. I spent 6 wonderful years at XJTU after direct admission from middle school to the XJTU Special Class for the Gifted Young / Honors
Youth Program in 2014.
From 2017 to 2020, I worked as a research assistant at the Institute of Artificial Intelligence and Robotics, XJTU with Prof. Xuguang Lan, Prof. Nanning Zheng and Dr. Hanbo Zhang on Deep Reinforcement Learning. I am also interested in and have research experience on Machine Learning, Robotics and Computer Vision.
In the summer of 2018, I visited National Unversity of Singapore (NUS) for the Summer Workshop in the School of Computing as a Research Intern. In the Fall semester of 2018, I visited University of California, Berkeley as an exchange student.
Passed Algorithm and System core courses (Equivalence of Qualification Exam in Purdue CS) 05/12/2022
The HTRPO paper got accepted in IJCAI 2021 04/30/2021
Admitted to fully funded CS Doctoral Program from Purdue University02/27/2020
A marvelous week with Prof. David Hsu from NUS during his visit to our group 11/30/2019
Wonderful time at Venetian Hotel, Macau, China to attend IROS 2019 11/07/2019
2 papers I participated in got accepted in IROS 2019 06/20/2019
