I'm broadly interested in the problem of creating machines that exhibit intelligence, the hallmarks of which I consider to be adaptability, flexibility, and generality. In my exploration of this interest, I have studied and done research in reinforcement learning, computer vision, and natural language processing. I've had the fortune of participating in a range of interesting research projects with talented and patient collaborators.
For the summer of 2019, I was a visiting student researcher at the Montreal Institute for Learning Algorithms (MILA), where I worked with Professor Yoshua Bengio on the Consciousness Prior based on Transformer architecture. [Photo]
Prior to that, I worked on the reinforcement learning algorithm based on the VizDoom platform with Professor Hang Su and Jun Zhu in TSAIL. As the team leader, we proposed an environment-aware hierarchical reinforcement learning architecture and achieved first place in VizDoom AI Competition 2018 Single Player Track(1).
Previously, I had experience in image denoising during my internship at Sensetime Inc., mentored by Hongwei Qin. My first research project was a rule-based escape routing problem working with Professor Hailong Yao.