Yongchang Hao
Yongchang Hao is a Ph.D. student at the University of Alberta working with Professor Lili Mou. His research interests widely lie in machine learning, including language models, reinforcement learning, and optimization. His long-term research goal is to build intelligent systems that are compute-efficient and scalable.
Education
- Ph.D. in Computing ScienceUniversity of Alberta
- M.Sc. in Computing ScienceUniversity of Alberta
- B.Eng. in Computer Science and TechnologySoochow University
Internships
- Applied Scientist Intern, AmazonVancouver, Canada
- Machine Learning Research Intern, NetflixLos Gatos, United States
- Machine Learning Research Intern, Borealis AIVancouver, Canada
- Research Intern, Tencent AI LabShenzhen, China
- Software Engineer Intern, GoogleShanghai, China
Teaching
- Graduate Teaching AssistantUniversity of Alberta
- CMPUT 267 · Basics of Machine Learning · 2024 W
- CMPUT 463/563 · Probabilistic Graphical Models · 2022 F
- CMPUT 466/566 · Machine Learning · 2022 W
- CMPUT 365 · Reinforcement Learning I · 2021 F
Research interests
- Efficiency in large models
- Reinforcement learning
- Machine learning
Selected awards
- Alberta Graduate Excellence Scholarship
- Jeffrey R Sampson Memorial Graduate Prize
- Mary Louise Imrie Graduate Student Award
- Gold Medal · CCF-CCSP East China
- Silver Medal · ACM-ICPC Asia East Continent Final
- Gold Medal · ACM-ICPC Asia Regional