About Me
I'm a second-year MS student at the Computer Science and Engineer Department, the University of Michigan (GO BLUE!). I worked in the Galban Lab supervised by Dr. Sundaresh Ram and Prof. Craig J. Galban. I collaborate closely with Toyota Research Institute of North America this academic year as a Research Scientist.
Prior to that, I completed my bachelor's degree at the University of Toronto where I majored in computer science with a focus on computer vision. To better understand the underlying principles behind computer vision, I also took mathematics as a minor.
I'm interested in computer vision, interpretable machine learning and few-shot learning. I hope one day computers can observe, interact with, and learn from the physical world in real-time, just like human beings.
News
- 2021/09: I will collaborate with Toyota Research Institute of North America as a Research Scientist starting September.
- 2020/08: I started a new journey as an M.S. student at the University of Michigan.
- 2020/06: I graduated from the University of Toronto!
- 2020/05: One paper accepted by ICISDM 2020.
Projects (selected)
Server-side dynamic Movie Recommendation Website
Road Segmentation and Traffic Object Detection
Client-side dynamic web
A fake instagram developed using React, Flask and restful API. The backend is connected to a SQLite databse. Functionalities such as user registration, login, posting, etc, are included.
Computer Graphics – Ray Tracing
Ray tracing algorithm inplemented in C++. Features include Phone Shading, hard/soft shadow, glossy reflection, refraction, texture/environment mapping and anti-aliasing.
Face Detector
Experience
Research Scientist
Toyota Research Institute of North America (Ann Arbor, MI)
Current Semester
Topic: Machine learning for vehicle design
- My major responsibilities include: design machine learning and computer vision models for the next generation fuel cell design, developing research analysis tools, and optimizing existing algorithms for better end-to-end performance.
STEM Co-op
Toyota Research Institute of North America (Ann Arbor, MI)
May 2021 - Aug 2021
Topic: Machine Learning for fuel cell design.
- Conduct research experiments to further improve the robustness of machine learning models.
- Evaluate different models, summarize and present results to mentor, senior manager and GM.
Engineer Associate / Research Associate
Aggregate Intellect (AISC, Toronto, Canada)
May 2019 - June 2020
Topic: Screen detection and content matching in presentation videos.
- Explored approaches based on SIFT, SURF, and ORB.
- Developed a video annotation tool and the pipeline evaluation tool.
- Published a paper on ICISDM as the first author.
Computer Vision Research Intern
Epson Canada Ltd. (Markham, Canada)
Aug 2018 - Aug 2019
Team: interactive projector team (IPR).
- Epson Spotlight Award.
- Presented to 50+ colleagues on Epson Monthly Meeting.
- Worked on human-fingertip segmentation.
- Trained new-networks using YOLO for fingertip detections.
- Responsibility: Other than fingertip segmentation, I also worked on several parts of the project including calibration, research analysis, tool development, and evaluation.
Teaching
Teaching Assistant
- [University of Toronto, Winter 2020] CSC321H5S: Introduction to Neural Networks and Machine Learning.
- [University of Toronto, Winter 2020] CSC148H1S: Introduction to Computer Science.
Course Grader
- [University of Michigan, Fall 2020] EECS492: Introduction to Artificial Intelligence.
Miscs
- I like to travel to very different places, just as I like to meet very different kinds of people :).
- I love ping-pong and have been playing it for years.