Scholar
Zhiwen Mo
Google Scholar ID: rzG0eHwAAAAJ
Imperial College London
Citations & Impact
Citations
18
H-index
2
i10-index
1
Publications
7
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- - Published paper 'LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference' at ISCA'25
- - Contributed to 'PipeThreader: Software-Defined Pipelining for Efficient DNN Execution' at OSDI'25
- - Awards: UKRI PhD Scholarship, Chinese National Scholarship, SenseTime Scholarship, Excellent Graduate of Shanghai, First Prize, Arm Cup (East China Division)
Research Experience
- - 2023-2025, Research Intern at Microsoft Research Asia - System Research Group, working on GPU performance modeling and kernel optimization
- - 2022-2023, Early-stage investigation for wafer-scale chips at Shanghai AI Laboratory - SoC Design
Education
- - PhD in Computing, Imperial College London (2025-2028, expected), funded by ARIA Scaling Compute (UKRI)
- - B.Eng. in Microelectronics, Shanghai Jiao Tong University (2018-2022), GPA: 3.96/4.3 (Ranked 1st)
Background
- - Research Interests: ML hardware and systems, particularly in GPU microarchitecture, performance modeling, kernel optimization, and hardware-software co-design
- - Professional Field: Computing Science
- - Brief Introduction: First-year PhD student in the Department of Computing at Imperial College London, co-advised by Dr. Hongxiang Fan and Prof. Wayne Luk. PhD funded by the ARIA Scaling Compute project via UKRI.
Miscellany
- - Personal Interests: Classical music lover (with perfect pitch), footballer (center back), cycling enthusiast (hands-free rider), coffee lover, hardcore fan of HoYoverse/miHoYo
