Research Scientist
2024.7 - present
Menlo Park, California, United States
My name is Yiyang Zhao (赵一阳 in chinese), I am a Research Scientist at Meta. I completed my Ph.D in Worcester Polytechnic Institute (WPI), advised by Prof. Tian Guo. My Ph.D dissertation is available here. I was born in Tsingtao (China). Before joining to WPI, I earned my bachelor degree in Electronic and Information Engineering from Xidian University(Xi'an, China), and my master degree in Computer Engineering from Northeastern University (Boston, U.S.A.).
I am a big fan of computer game and enjoy designing and programming them. Additionally, I am a good amateur pianist, and I love playing basketball and traveling. I like technology, I like artificial intelligence, I like cute puppy and I love my life. Here is my CV.
Designing deep learning (DL) models is typically reserved for experts. My primary research interest is to bridge the gap between everyday life and the field of artificial intelligence (AI), making AI and DL accessible to everybody through the use of Neural Architecture Search (NAS). I am also interested in application in machine learning and large language models.
Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
38th Neural Information Processing Systems (NeurIPS 2024)
Yiyang Zhao, Linnan Wang, Tian Guo
Multi-Objective Neural Architecture Search by Learning Search Space Partitions
Journal of Machine Learning Research (JMLR 2024)
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)
Long Oral
More Publications >>>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)
