Yiyang Zhao(赵一阳)

Ph.D Candidate, Computer Science
Worcester Polytechnic Institute

Email: zyyaoiang@gmail.com

🎓 About Me

My name is Yiyang Zhao(赵一阳 in chinese), a P.hD student in Worcester Polytechnic Institute(WPI), advised by Prof. Tian Guo. I was born in Tsingtao(China). Before coming to WPI, I obtained my bachelor degree in Electronic and Information Engineering from Xidian University(Xi'an, China), and recieved my master degree in Computer Engineering from Northeastern University(Boston, U.S.A.).

I am a big fan of computer game, besides, I like designing and programming computer game. I am a good piano amateur and I like playing basketball and traveling when I am out of room. I like technology, I like computer science, I like cute puppy and I love my life. Here is my resume.

💫 Interests

Designing deep Learning(DL) models are now reserved for experts. My primary research interest is to bridge the gap between the everyday life and artificial intelligence(AI) area, making AI(deep learning) accessible to everybody by using Auto Machine Learning(Auto-ML). I am also interested in application in machine learning and high performance computing.

📖 Recent Publications

Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian

Multi-objective Optimization by Learning Space Partitions

10th International Conference on Learning Representations(ICLR 2022)

Paper · Code · Poster · 知乎专栏

Yiyang Zhao*, Linnan Wang*, Yuandong Tian, Rodrigo Fonseca, Tian Guo

Few-shot Neural Architecture Search

38th International Conference on Machine Learning (ICML 2021)

Long Oral

Paper · Code · FAIR Blog · Poster · 机器之心

Linnan Wang*, Yiyang Zhao*(equally contributed), Yuu Jinnai, Yuandong Tian, and Rodrigo Fonseca

Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search

34th AAAI Conference on Artificial Intelligence(AAAI 2020)

Paper · Code · Poster

Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska

Dynamic GPU Memory Management for Training Nonlinear Deep Neural Networks

Principles and Practice of Parallel Programming(PPOPP 2018)

Paper · Code

Yiyang Zhao, Linnan Wang, Jinmian Ye, Wei Wu, George Bosilca, Richard Vuduc, Wenqi Tang, Zenglin Xu

Efficient Communications in Training Large Scale Neural Networks

Thematic Workshops of 25th ACM international conference on Multimedia (ACM-MM 2017)


More Publications >>>
🎞 Work Experiences

  • 2022.05 ~ 2022.08: Deep Learning Algorithm Engineering Intern, NVIDIA, Santa Clara, supervised by Dr. Linnan Wang
  • 2021.05 ~ 2021.08: Research Intern at Infrastructure System Lab - ByteBrain Team, ByteDance, Mountain View, supervised by Dr. Tieying Zhang
  • 2012.07 ~ 2012.08 & 2013.07 ~ 2013.08: Research Intern at CRIRP, Qingdao, supervised by Prof. Leke Lin