Chenkai Wang (王晨凯)

Research Assistant
Department of Computer Science and Engineering
Southern University of Science and Technology
Email: wangck2022 [at] mail [dot] sustech [dot] edu [dot] cn
Office: 619-B, School of Engineering (South), SUSTech
Last updated: September 10, 2025
[Curriculum Vitae]
Research Interests
  • Financial Simulation Intelligence
  • Fintech
  • Machine Learning
  • Network Science
About Me

I am Chenkai Wang, currently a research assistant in the Financial Intelligence and Big Data (fiBID) Lab within the Department of Computer Science and Engineering at the Southern University of Science and Technology (SUSTech). I have the good fortune of being advised by Prof. Peng Yang. I earned my M.Sc. in Mathematics (with distinction) in 2024 from the Department of Statistics and Data Science at SUSTech, also under Prof. Peng Yang's supervision. I received my B.S. in Statistics from the same department, where I studied core statistical concepts and explored network science under the valuable mentorship of Prof. Yifang Ma.

I am passionate about cross-disciplinary research in financial market simulation and network science, and I am beginning to explore generative models. Within agent-based modeling, my past work focused on improving simulation fidelity, which refers to enhancing the similarity between simulated data and real A-share market data, ensuring more accurate and reliable modeling outcomes.

Currently, I am seeking a Ph.D. position. I'm always open to new opportunities, collaborations, or suggestions—you're more than welcome to write me an email to connect (or make friends)! Let's explore the exciting world together!

Research
[IEEE Transactions]
In Preparation
Peng Yang, Zhenhua Yang, Boquan Jiang, Chenkai Wang, Ke Tang, Xin Yao
[IEEE Transactions]
Submitted to IEEE Transactions on Signal Processing, Under Review
Junjie Zhao, Chengxi Zhang, Chenkai Wang, Peng Yang
[HTML] [PDF]
[IROS]
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
Xinyi Yuan, Zhiwei Shang, Zifan Wang, Chenkai Wang, Zhao Shan, Meixin Zhu, Chenjia Bai, Weiwei Wan, Kensuke Harada, Xuelong Li
[HTML] [PDF]
[IEEE Transactions]
IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2025.3574236
Chenkai Wang, Junji Ren, Peng Yang
[HTML] [PDF] [POSTER @ ECOLE 2025]
Honors and Awards
  • 2024: Outstanding Graduates Honor, SUSTech
  • 2023: Outstanding Graduate Student, SUSTech
  • 2023: Excellent Student Cadre, SUSTech
  • 2021: National Encouragement Scholarship, SUSTech
  • 2021: Provincial Second Prize in The Chinese Mathematics Competitions, Chinese Mathematical Society
  • 2020: National Encouragement Scholarship, SUSTech
  • 2020: Provincial Third Prize in The Chinese Mathematics Competitions, Chinese Mathematical Society
Education
[Southern University of Science and Technology]
Supervisor: Prof. Peng Yang (SUSTech)
M.S., major in Mathematics (with distinction), Department of Statistics and Data Science
Thesis: High-fidelity Calibration of Financial Market Simulation with Multivariate Time Series Data
Nanshan, Shenzhen, China
[Southern University of Science and Technology]
Supervisor: Prof. Yifang Ma (SUSTech)
Nanshan, Shenzhen, China
Work Experience
[Southern University of Science and Technology]
Supervisor: Prof. Peng Yang (SUSTech)
Nanshan, Shenzhen, China
Projects
[Advanced Network Science]
Advisor: Prof. Yanqing Hu (SUSTech)
  • Designed, analyzed, and proved the manipulation of PageRank by spam farms [HW 1 & 2].
  • Simulated greedy routing on Kleinberg Model to evaluate clustering exponent impact [HW 3].
  • Analyzed component sizes, giant component dynamics, and phase transitions [HW 4].
  • Proposed a three-community detection method using recursive spectral bisection [HW 5].
  • Proved and verified delivery time bounds in constrained Kleinberg Model [Final Project].
Invited Talks
  • High-Fidelity Calibration of Financial Market Simulation with Multivariate Time Series Data
    UltraQuant Investment (Private Equity Fund, RMB ¥3B+ AUM), Shenzhen, June 25, 2025
Teaching Assistants
Southern University of Science and Technology:

  • MA204: Mathematical Statistics, 2023 Spring, rated excellent by the lecturer: Prof. Guoliang Tian
  • MA212: Probability and Statistics, 2023 Spring, rated excellent by the lecturer: Prof. GABRIELLE JING
  • STA217: Introduction to Data Science, 2023 Fall, rated excellent by the lecturer: Prof. Yifang Ma