Runtian Zhai

翟润天 (What's this)

Undergraduate

Class of 2020
Computer Science and Applied Mathematics
School of Electronics Engineering and Computer Science (EECS)
School of Mathematical Sciences (Double major)
Peking University (PKU)

Email: zhairuntian at pku dot edu dot cn
Contact: 5 Yiheyuan Road, Beijing, China, 100871

Photo

Class of 2020
Computer Science and Applied Mathematics
School of Electronics Engineering and Computer Science (EECS)
School of Mathematical Sciences (Double major)
Peking University (PKU)

Email: zhairuntian at pku dot edu dot cn
Contact: 5 Yiheyuan Road, Beijing, China, 100871

Bio [CV]
I am a senior student in school of EECS at Peking University, majoring in computer science. I also double major in applied mathematics in school of mathematical sciences. My advisor is Liwei Wang. My research is funded by MOE Top-notch Undergraduate Program of my school. I mainly study machine learning, including theory, algorithms and systems. I am deeply interested in designing algorithms that make machine learning faster and better, developing theories that guide the design of such algorithms, and creating systems that are easy to use and able to protect users’ security and privacy with these algorithms. Recently I am studying adversarial robustness, semi-supervised learning and generative models. Last summer I did summer research at UCLA and was advised by Cho-Jui Hsieh. Now I am working as a full-time intern in Microsoft Research Asia (MSRA) machine learning group.
I am applying for a PhD position. Listed below are my major fields of study:
  • ML Theory: Generalization, optimization and adversarial robustness
  • ML Algorithms: Representation learning, semi/self-supervised learning and generative models
  • ML Systems: Scalability, security and privacy
To potential collaborators:
I am actively looking for research collaboration. Please send me an email if you are interested in working with me, and I will respond to your email as soon as possible. Please put potential collaboration in the subject title, and include in the email your affiliation, fields of study, and the specific topic in which you want to work with me. It would be great if you also include your ideas and intermediate results, so that we can discuss concrete issues. I am looking forward to hearing from you!
Research Experiences
Deep Learning Theory and Algorithms
Advisor: Liwei Wang (PKU). Jul 2018 - Present
Undergraduate research.
Machine Learning Security
Advisor: Cho-Jui Hsieh (UCLA). Feb 2019 - Sep 2019
Summer research at UCLA.
Deep Learning Application
Sep 2019 - Present
Full-time intern at MSRA ML group.
News:
Links:
My Github Profile
My Google Scholar
My LinkedIn Page