Research Projects at Stony Brook

At computer vision lab, I worked on computer vision projects involving video analysis, object detection, and self-supervised learning. I also collaborated with companies on problems such as health care.

• Efficiency-Preserving Scene-Adaptive Object Detection
• Object Detection with Self-Supervised Scene Adaptation
• Exemplar-Based Early Event Prediction in Video
• Learning Diagnosis Code Embedding from Insurance Claims

Research Projects at USTC

I was a member of the Multi-Agent Systems Lab in USTC directed by Prof. Xiaoping Chen. Most of my work is associated with the KeJia Robot, a platform first designed and implemented by our group in 2008. The primary goal of the KeJia project is to develop a robot that serves as an assistant that could respond to human's general requests in typical home environments. This involves task planning, autonomous navigation, motion planning, audio interaction, and robot vision. When following this modularization routine of development, we benefit a lot from the distributed framework, useful libraries, and handy tools provided by Robot Operating System (ROS). KeJia has been competing with other home service robots from all over the world in RoboCup@Home league since 2010.

• Multi-Camera Vision System
• CNN Object Classifier
• RoboCup@Home League

I worked as an undergraduate student in Dr. Aidi Zhao's group, Hefei National Laboratory for Physical Sciences at Microscale (HFNL), for about two years starting from September 2012. Most of my work was about graphene and Scanning Tunneling Microscope (STM).

• Self-Assembly of Bromide Aromatic Compound
• Laser Reduced Graphene Oxide Supercapacitor
• Graphene Transistor (GFET)