Qunxi Zhu (朱群喜)

Associate Professor (tenure-track, Young PI) (青年研究员，博士生导师，硕士生导师)
Research Institute of Intelligent Complex Systems, Fudan University (复旦大学)
Address: 220 Handan Road, Shanghai 200433, China
Email: qxzhu@fudan.edu.cn
Homepage@IICS: https://iics.fudan.edu.cn/7d/52/c33358a687442/page.htm

About Me (ResearchGate - Google Scholar - Twitter)

    Hi! I am Qunxi Zhu, an Associate Professor (tenure-track, Young PI) at Research Institute of Intelligent Complex Systems (IICS) (智能复杂体系基础理论与关键技术实验室), Fudan University, China. Previously, I was a Postdoctoral Research Fellow at IICS. I received my Ph.D. in Applied Mathematics from Fudan University, advised by Professor Wei Lin (杰青、教务处处长).

    My goal is to develop advanced machine learning models, foundational theories, and efficient algorithms that can understand and reveal the underlying mechanisms of diverse complex systems from high-dimensional data (Machine Learning + Complex Systems).

    Recently, my research interests includ:
  • Machine learning for complex systems: promoting the developments of complex systems with machine learning;
  • Complex systems for machine learning: developing advanced machine learning models inspired by the theories and methods of complex systems;
  • General topics: nonlinear complex systems modeling, reconstruction, and prediction; neural (learning) control; complex dynamical networks reduction; lightweight reservoir computing; Boolean networks; continuous-depth neural networks; continuous-time generative modeling; computational optimal transport; scientific/mathematical discovery.
    • My work, as the first author or corresponding author, has been published in top international journals such as Nature Communications, Research, Physical Review Research/E, IEEE Transactions on Automatic Control, SIAM Journal on Control and Optimization, Systems & Control Letters, Chaos as well as top artificial intelligence conferences like ICML, NeurIPS, ICLR, and AAAI.

    欢迎勤奋好学且踏实，具有数学、物理、自动化、计算机等相关背景的同学报考博/硕士研究生，同时欢迎博士后。此外，欢迎具有自驱力的本科生和研究生（需导师同意）来复旦大学进行短期/长期交流访问。感兴趣的可以随时发邮件咨询。

Selected Publications (Full list)

Experience

Awards and Honors

Review Services

Physica D: Nonlinear Phenomena
Neural Networks
Chaos Solitons & Fractals
International Journal of Bifurcation and Chaos (IJBC)
Nonlinear Theory and Its Applications, IEICE
Neural Information Processing Systems (NeurIPS 2022, 2023, 2024)
International Conference on Machine Learning (ICML 2022, 2023, 2024)
Workshop on Structured Probabilistic Inference & Generative Modeling in IMCL 2024
Annual Meeting of the Association for Computational Linguistics (ACL 2024)