FAN, Hanwei 樊瀚伟

FAN, Hanwei
樊瀚伟
I'm currently a PhD candidate in Reconfigurable computing system laboratory (RCSL) at the Department of Electronic & Computer Engineering in HKUST. I am honored to be supervised by Professor Wei ZHANG. Previously, I obtained my BEng Degree in Automation from Beijing Institute of Technology and my MSc Degree in Electronic Engineering from HKUST.

Research Interests

My current research focuses on DSE for Computer Architecture, EDA, Neural Network Compression, NAS, etc. I am interested in application of optimization/ML algorithms in DSE problems, especially experienced in solving DSE problems with BO and RL.
Key Words: DSE, Computer Architecture, EDA, Neural Network Compression, NAS, Optimization, ML, BO, RL.

Education

PhD in ECE, The Hong Kong University of Science and Technology, 2023-Present
MPhil in Microelectronics, The Hong Kong University of Science and Technology, 2021-2023
MSc in EE, The Hong Kong University of Science and Technology, 2019-2020
B.E. in Automation, Beijing Institute of Technology, 2015-2019

Work

Research Intern, Computing Technology Lab, DAMO Academy, Alibaba, 2022
Research Assistant, ECE Department, HKUST, 2020-2021

Publications

[C4] Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration [code]

Hanwei Fan, Ya Wang, Sicheng Li, Tingyuan Liang, Wei Zhang
ACM/IEEE The Chips To Systems Conference (DAC), 2024 (acceptance rate=22.7%)

[C3] Modular Branch Predictor Performance Analysis Framework for Fast Design Space Exploration

Ya Wang, Hanwei Fan, Sicheng Li, Tingyuan Liang, Wei Zhang
IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), 2024 (acceptance rate=25%)

[C2] ASAP: Accurate Synthesis Analysis and Prediction with Multi-Task Learning (Best Paper)

Yikang Ouyang, Sicheng Li, Dongsheng Zuo, Hanwei Fan, Yuzhe Ma
ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD), 2023

[C1] Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning [code]

Hanwei Fan, Jiandong Mu, Wei Zhang
European Conference on Computer Vision (ECCV), 2022 (acceptance rate=28%)

Teaching

Teaching Assistant, ELEC 4320 - FPGA Based Design: From Theory to Practice, 24-25 Fall, HKUST
Teaching Assistant, ELEC 5140 - Advanced Computer Architecture, 23-24 Spring, 24-25 Spring, HKUST
Teaching Assistant, MICS 6000I - Physical Design Automation of Digital Systems, 22-23 Fall, HKUST-GZ

Review

ACM transactions on embedded computing systems (TECS), 2022