Yao-Yuan is a Ph.D. student in the Computer Science and Engineering department of UCSD. He is currently working with Professor Kamalika Chaudhuri on adversarial machine learning. Prior to joining UCSD, he received his B.S. in Computer Science from National Taiwan University in 2016.
Here are some problems he previously worked on:
Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, and Kamalika Chaudhuri, in submission, 2020, [bib] [arxiv] [code]
Yao-Yuan Yang*, Cyrus Rashtchian*, Hongyang Zhang, Ruslan Salakhutdinov, and Kamalika Chaudhuri, in Proceedings of Neural Information Processing Systems (NeurIPS), 2020, [bib] [arxiv] [code]
Yao-Yuan Yang*, Cyrus Rashtchian*, Yizhen Wang, and Kamalika Chaudhuri, in Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2020, [bib] [arxiv] [code]
Benjamin Cosman, Madeline Endres, Georgios Sakkas, Leon Medvinsky, Yao-Yuan Yang, Ranjit Jhala, Kamalika Chaudhuri, and Westley Weimer, in Proceedings of the Special Interest Group on Computer Science Education (SIGCSE), 2020, [bib] [pdf]
Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, and Hsuan-Tien Lin, in Proceedings of the Asian Conference on Machine Learning (ACML), 2019, [bib] [arxiv] [code]
Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, and Hsuan-Tien Lin, in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018, [bib] [arxiv] [pdf] [code]
Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen, and Hsuan-Tien Lin, 2017, [bib] [arxiv] [code]