This is Zihao Ye, a first year Ph.D. student in SAMPL Group at Paul G. Allen School of Computer Science and Engineering, advised by Luis Ceze. My research interests focus on building domain specific languages/compilers for Deep Learning.

Prior to joining UW, I spent two years in AWS Shanghai AI Lab, working with Minjie Wang and Zheng Zhang on Deep Graph Library: a framework for Graph Neural Networks. I obtained my bechalor's degree from ACM Honors Class at Shanghai Jiao Tong University.

Selected Publications

BP-Transformer: Modelling Long-Range Context via Binary Partitioning
Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang
[ Paper ] [ Code ]

FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems (SC 2020)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
[ Paper ] [ Code ]

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang, Da Zheng, Zihao Ye, Quan Gan, Mufei Li, Xiang Song, Jinjing Zhou, Chao Ma, Lingfan Yu, Yu Gai, Tianjun Xiao, Tong He, George Karypis, Jinyang Li, Zheng Zhang
[ Project Page ] [ Paper ] [ Code ]