Baojian Zhou (周宝健)

I am an assistant professor of the School of Data Science at Fudan University. My research interests are data mining and machine learning, especially mining and learning from large-scale graph data. I am also interested in mathematical optimization such as stochastic online optimization and online decision making. My research goal is to find algorithms for solving different kinds of graph problems. I am also affiliated with the Shanghai Key Laboratory of Data Science and Knowledge Works Research Laboratory. I was previously a postdoc at Stony Brook University where I worked with Steven Skiena from 2020 to 2021. I obtained my PhD degree in Computer Science and master's degree in Mathematics at University at Albany, SUNY. During my PhD study, I fortunately advised by Feng Chen and Yiming Ying.

Recent Publications

• Binbin Huang, Baojian Zhou, et. al., Accelerated Evolving Set Processes for Local PageRank Computation, NeurIPS, 2025

• Ziyang Ma, Baojian Zhou, et. al., From Text to Trajectories: GPT-2 as an ODE Solver via In-Context, 2025

Current Teaching

• Numerical Computation, Graduate, Fall 2025

• Natural Language Processing, Undergraduate, Fall 2025

Contact Information

• Email: bjzhou AT fudan DOT edu DOT cn

• Address:
  South 401 Computing Center,
  School of Data Science, Fudan University,
  220 Handan Rd, Shanghai, China.

• Phone: (+86) 191-0218-0506

I am currently unable to mentor Ph.D. students. As a junior faculty member at Fudan, I need to apply for an associate professor position in order to take on Ph.D. students. However, if you are a master’s or undergraduate student interested in doing research with me, please feel free to reach out to me via email.