I am a Senior Deep Learning Performance Engineer at Baidu, and I was a CS PhD student in the Department of Computer Science at University of Pittsburgh from 2023 to 2024.
From July 2022 to July 2023, I worked at Intel as a GCC compiler engineer.
Prior to that, I gained my M.Eng. degree with Professor Xianwei Zhang as my graduate advisor in arcSYSu at Sun Yat-sen University.
And I received my B.Eng. degree in Software Engineering at South China University of Technology in 2020.
#: equal contribution
FMCC: Flexible Measurement-based Quantum Computation over Cluster State
Yingheng Li, Aditya Pawar, Zewei Mo, Youtao Zhang, Jun Yang, Xulong Tang
ASPLOS 2024 (appeared in ASPLOS 2025)
QRCC: Evaluating Large Quantum Circuits on Small Quantum Computers through Integrated Qubit Reuse and Circuit Cutting
Aditya Pawar, Yingheng Li, Zewei Mo, Yanan Guo, Xulong Tang, Youtao Zhang, Jun Yang
ASPLOS 2024 (appeared in ASPLOS 2025)
FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing
Zewei Mo, Yingheng Li, Aditya Pawar, Xulong Tang, Jun Yang and Youtao Zhang
DAC 2024
KeSCo: Compiler-based Kernel Scheduling for Multi-task GPU Applications
Zejia Lin#, Zewei Mo#, Xuanteng Huang, Xianwei Zhang, Yutong Lu
ICCD 2023
RollBin: reducing code-size via loop rerolling at binary level
Tianao Ge, Zewei Mo, Kan Wu, Xianwei Zhang, Yutong Lu
LCTES 2022
moTuner: a compiler-based auto-tuning approach for mixed-precision operators
Zewei Mo, Zejia Lin, Xianwei Zhang, Yutong Lu
CF 2022