SmoothE: Differentiable E-Graph Extration wins the Best Paper Award at the 2025 ACM International Conference on Architectural Support for Programming Languages and Operating Systems!
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Dr. Zhiru Zhang is a Professor in the School of Electrical and Computer Engineering at Cornell University and a member of the Computer Systems Laboratory. His current research investigates new algorithms, methodologies, and design automation tools for heterogeneous computing systems. Recent publications from his group focus on the topics of high-level synthesis (HLS), hardware specialization for machine learning, and programming models for software-defined FPGAs.
Prior to joining Cornell, he earned his Ph.D. in Computer Science from UCLA and co-founded AutoESL based on his dissertation research on HLS. AutoESL was acquired by Xilinx (now AMD), and its HLS tool evolved into Vivado HLS (now Vitis HLS), which is widely used for designing FPGA-based hardware accelerators. He also holds a B.S. in Computer Science from Peking University and an M.S. in Computer Science from UCLA.
Jordan Dotzel
MS/PhD , co-advised by Prof. Mohamed Abdelfattah
Chenhui Deng
PhD
Dingyi Dai
MS
Zhongyuan Zhao
PostDoc
Ecenur Ustun
PhD
Debjit Pal
PostDoc
Gai Liu
PhD
Qiang You
Visiting PhD, Tsinghua Univ.
Chang Xu
Visiting PhD, Peking Univ.
Mingxing Tan
PostDoc