Yaohui Han

Logo Incoming Ph.D. Student @ Chinese University of Hong Kong

Hi! I am Yaohui Han (韩耀辉), an incoming Ph.D. student at Departmanet of Computer Science and Engineering, Chinese University of Hong Kong, under the supervision of Prof. Tsung-Yi Ho. Before this, I obtained my bachelor's degree at Central South University, where I was very fortunate to be 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 Artificial Intelligence for Electronic Design Automation. 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🏀, astronomy🔭 and photography📷, and always willing to try new things.

Photo taken by Anchen

Ho Sin-Hang Engineering Building, Hong Kong SAR [Map]

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Education
  • Chinese University of Hong Kong
    Chinese University of Hong Kong
    Sep. 2025 - Present
    Ph.D. in Computer Science and Engineering
    Supervisor: Prof. Tsung-Yi Ho
  • Central South University
    Central South University
    Sep. 2021 - Jun. 2025
    B.Sc. in Applied Physics (Major)
    B.Eng. in Electronic Engineering (Minor)
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 2024 Competition
    2024
  • Silver Medal, Kaggle Competition
    2023
  • National 1st Prize, National Electronic Design Contest
    2023
  • National 1st Prize, National Physics Experiment Contest
    2023
Services
  • President, Astronomy Association of CSU
    2023
  • Technical Director, Electronic Design Association of CSU
    2023
  • Senior Judge, Xunxingke Astronomy Community
    2021-Present
News
2024
Award National Scholarship.
Nov
Win the Bronze Medal in NeurIPS 2024 Competition, and become a Kaggle Expert.
Nov
Join the Microelectronics Thrust of HKUST(GZ), as a Research Assistant.
Jul
One paper accepted by ESWA, thanks all!
Jun
Join the School of Science and Engineering of CUHK(SZ), as a Research Assistant.
Feb
2023
Win the National 1st Prize in the National Physics Experiment Contest, thanks all!
Dec
Win the Silver Medal in Kaggle Competiton.
Nov
Win the National 1st Prize in the National Electronic Design Contest, thanks all!
Sep
Selected Publications (view all )
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

We propose an Integration of Individual and Collaborative Abilities based Dynamic Worker Selection (IICA-DWS) algorithm to recruit excellent workers as a team in a high-quality and low-cost style. In the IICA-DWS algorithm, each worker’s individual ability and collaborative contribution to the team are evaluated more accurately using the Approximate Shapley Value (ASV). In addition, a high-quality team formation method is established to complete complex tasks at low cost. This involves the selection of both team leaders and team members. In this process, the Multi-Armed Bandit (MAB) model is adopted to dynamically select excellent workers using exploration and exploitation phases. Lastly, the IICA-DWS algorithm is evaluated through theoretical analysis and experimental results.

[Code] [Paper]

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

We propose an Integration of Individual and Collaborative Abilities based Dynamic Worker Selection (IICA-DWS) algorithm to recruit excellent workers as a team in a high-quality and low-cost style. In the IICA-DWS algorithm, each worker’s individual ability and collaborative contribution to the team are evaluated more accurately using the Approximate Shapley Value (ASV). In addition, a high-quality team formation method is established to complete complex tasks at low cost. This involves the selection of both team leaders and team members. In this process, the Multi-Armed Bandit (MAB) model is adopted to dynamically select excellent workers using exploration and exploitation phases. Lastly, the IICA-DWS algorithm is evaluated through theoretical analysis and experimental results.

[Code] [Paper]

All publications