Xingbo Du
Xingbo Du
Shanghai, China

Short Bio

I’m currently enrolled in a joint Ph.D degree program in School of Computer Science and Engineering, Shanghai Jiao Tong University (SJTU), and School of Computer Science and Engineering, the University of New South Wales (UNSW). Before that, I received my B.S. degree (2017) and M.E. degree (2020) in East China Normal University, respectively. From 2020 to 2022, I was employed in the Institute of Financial Technology, China UnionPay. My current research interest is AI for CO (Combinotorial Optimization), which includes Network Alignment, AI for EDA (Electronics Design Automation), and Interpretability. Welcome to contact with me: duxingbo@sjtu.edu.cn; xingbo.du@unsw.edu.au.

Education

  • Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Ph.D (2022.04 ~ Now)
    • Class of Wuwenjun Artificial Intelligence Honorary Doctor
    • Major: Computer Science and Engineering
    • Superviser: Prof. Junchi Yan
  • the University of New South Wales, School of Computer Science and Engineering, Ph.D (2024.02 ~ Now)
    • Major: Computer Science and Engineering
    • Superviser: Prof. Wenjie Zhang
  • East China Normal University, School of Computer Science and Software Engineering, Master (2017.09 ~ 2020.07)
    • Major: Data Science and Engineering
    • Superviser: Prof. Hongyuan Zha (National ‘thousand talents’ program)
  • East China Normal University, Institute of Technology, Bachelor (2013.09 ~ 2017.07)
    • Major: Mathematics and Applied Mathematics

Teaching

  • Tutor, COMP9517 Computer Vision at UNSW (2024T2, 2024T3).

Career

  • China UnionPay Co., Ltd, Institute of Financial Technology, Researcher (2020/07 ~ 2022/03)
    • Member of key special project ‘research and application demonstration of financial fraud and payment acceptance market violation detection and disposal technology’, which is part of the national key research and development program ‘social governance and smart society technology support’.
    • Through large-scale graph computing and graph neural network algorithms, I acted as a project leader and completed the identification and prevention algorithm research of various risk control scenarios such as scalpers, gambling, fraud and counterfeiting. Besides, I participated in the construction of risk control knowledge graph, effectively improving the risk control efficiency, and assisting the Ministry of Public Security to discover some important fraud groups.
    • During the tenure, I applied for 13 invention patents, including 6 as the first inventor.

Internship

  • Shanghai Artificial Intelligence Innovation Center, Intern Researcher (2022/06 ~ Now)
    • Research on the interpretability of neural networks for trusted security. We study the concept bottleneck model in image classification and propose a human-computer interaction system based on semantic information, which can implement model intervention and correction.

Publication & Patents

Award

  • Scholarship of China Scholarship Council (CSC).
  • National Scholarship in 2019.
  • Outstanding Graduate in Shanghai (Twice in 2017/2020).

Other Academic Activities

  • Serve as Reviewer: TPAMI, ICML, NeurIPS, ICLR, CVPR, AAAI, CIKM, PR, etc.
  • Oral in IJCAI19.

Interests

Apart from the research, I’m also interested in investment and music.