Yaohui Han

Logo Incoming Ph.D. Student @ CSE, CUHK

Hi! I am Yaohui Han (韩耀辉), an incoming Ph.D. student at Department of Computer Science and Engineering, Chinese University of Hong Kong, co-supervised by Prof. Tsung-Yi Ho and Prof. Bei Yu. Currently, I am very fortunate to be supervised by Prof. Tinghuan Chen. Before this, I obtained my bachelor's degree at Central South University, where I was advised by Prof. Anfeng Liu. In 2021, I obtained my high school diploma at Northeast Yucai School in Shenyang.

During the past years, I have actively participated in several projects and competitions. This gave me strong problem-solving skills. Currently, my research interest is AI for EDA and other AI Applications. I am always looking for potential collaboration opportunities. If you have any idea on research in related fields, please feel free to contact me!

During my leisure time, I am also an enthusiast of basketball🏀, badminton🏸, racing🏎 and astronomy🔭, and always willing to try new things.

Photo taken by Anchen


Education
  • Chinese University of Hong Kong
    Chinese University of Hong Kong
    Ph.D. in Computer Science and Engineering
    Supervisor: Prof. Tsung-Yi Ho & Prof. Bei Yu
    Aug. 2025 - Jun. 2029
  • Central South University
    Central South University
    B.Sc. in Applied Physics (Major)
    B.Eng. in Electronic Engineering (Minor)
    Sep. 2021 - Jun. 2025
Experience
  • Chinese University of Hong Kong, Shenzhen
    Chinese University of Hong Kong, Shenzhen
    Research Assistant
    Supervisor: Prof. Tinghuan Chen
    Feb. 2024 - Present
  • Hong Kong University of Science and Technology, Guangzhou
    Hong Kong University of Science and Technology, Guangzhou
    Research Assistant
    Supervisor: Prof. Yuzhe Ma
    Jun. 2024 - Dec. 2024
Honors & Awards
  • National Scholarship, Education Ministry of PRC
    2024
  • Bronze Medal, NeurIPS Competition
    2024
  • Silver Medal, Kaggle Competition
    2023
  • National 1st Prize, National Electronic Design Contest
    2023
  • National 1st Prize, National Physics Experiment Contest
    2023
  • Provincial 1st Prize, National Mathematical Contest in Modeling
    2023
  • Innovation Scholarship, GEM Co., Ltd.
    2023
Academic Services
Conference Review
  • International Conference on Learning Representations (ICLR)
    2025
  • International Joint Conference on Neural Networks (IJCNN)
    2025
Journal Review
  • Expert Systems With Applications (ESWA)
    2024
  • Information Sciences (INS)
    2024
  • Knowledge-Based Systems (KBS)
    2024
News
2025
One paper accepted by ISEDA 2025, thanks all!
Mar
Receive the Ph.D. offer from CSE, CUHK.
Mar
Invited to be a reviewer for ICLR 2025 Workshop.
Feb
Authorized one Chinese invention patent.
Feb
Invited to be a reviewer for IJCNN 2025.
Jan
Selected Publications (view all )
Point-Cap: An Efficient Model for Chip-scale Interconnect Capacitance Extraction
Point-Cap: An Efficient Model for Chip-scale Interconnect Capacitance Extraction

Weizhe Zhang, Yaohui Han, Lihao Liu, Qunsong Ye, Fan Yang, Tinghuan Chen

International Symposium of EDA (ISEDA) 2025 Conference

Hong Kong Disneyland, China

Point-Cap: An Efficient Model for Chip-scale Interconnect Capacitance Extraction
Point-Cap: An Efficient Model for Chip-scale Interconnect Capacitance Extraction

Weizhe Zhang, Yaohui Han, Lihao Liu, Qunsong Ye, Fan Yang, Tinghuan Chen

International Symposium of EDA (ISEDA) 2025 Conference

Hong Kong Disneyland, China

A combined navigation computing system based on RISC-V architecture
A combined navigation computing system based on RISC-V architecture

Ning Han, Zhengchun Zhu, Mingyang Zhao, Yaohui Han# (# corresponding author)

Chinese Patent 2025 Patent

A combined navigation computing system based on RISC-V architecture
A combined navigation computing system based on RISC-V architecture

Ning Han, Zhengchun Zhu, Mingyang Zhao, Yaohui Han# (# corresponding author)

Chinese Patent 2025 Patent

Selecting workers like expert for crowdsourcing by integration evaluation of individual and collaborative abilities
Selecting workers like expert for crowdsourcing by integration evaluation of individual and collaborative abilities

Yaohui Han, Mingyang Zhao, Nuanqiao Shan, Anfeng Liu, Tian Wang, Houbing Song, Shaobo Zhang

Expert Systems With Applications (ESWA) 2024 Journal

Selecting workers like expert for crowdsourcing by integration evaluation of individual and collaborative abilities
Selecting workers like expert for crowdsourcing by integration evaluation of individual and collaborative abilities

Yaohui Han, Mingyang Zhao, Nuanqiao Shan, Anfeng Liu, Tian Wang, Houbing Song, Shaobo Zhang

Expert Systems With Applications (ESWA) 2024 Journal

All publications