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.
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.
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)
Yiyang Zhao*, Linnan Wang*, Yuandong Tian, Rodrigo Fonseca, Tian Guo
Few-shot Neural Architecture Search
38th International Conference on Machine Learning (ICML 2021)
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)
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)
More Publications >>>
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)