About me
I am a final-year MEng student at Imperial College London. I spent a wonderful summer in 2022 doing a research project at Imperial College London, advised by Prof. Wayne Luk and Dr. Hongxiang Fan.
My current research interests include:
- AI Infrastructure
- Hardware Design Method
- Trustworthy ML
Education
- Ph.D in Computing Research, Imperial College London, 2024 - 2028 (expected)
- MEng in Computing, Imperial College London, 2020 - 2024
Work experience
Huawei Technologies Research & Development Permalink
Graphics Modelling Intern, Mar 2022 - Sep 2022, Shanghai, London, UK
Publications
Algorithm and Hardware Co-Design for Multi-Exit Dropout-based Bayesian Neural Networks
Manuscript . Hao (Mark) Chen, Liam Castelli, Martin Ferianc, Shuanglong Liu, Wayne Luk, Hongxiang Fan
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
Manuscript . Hao (Mark) Chen, Wayne Luk, Ka Fai Cedric Yiu, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA
Design Automation Conference (DAC). 2024 . Zehuan Zhang, Hongxiang Fan, Hao (Mark) Chen, Lukasz Dudziak and Wayne Luk
Web-based AI System for Medical Image Segmentation
Conference on Medical Image Understanding and Analysis (MIUA). 2023 . Hao (Mark) Chen, Taowen Liu, Songyun Hu, Leyang Yu, Yiqi Li, Sihan Tao, Jacqueline Lee, Ahmed E. Fetit
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA
Design Automation Conference (DAC). 2023 . Hongxiang Fan, Hao (Mark) Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk