Chao Chen

Contact

• Office: Computer Science Building, 2313C
• Tel: +1-631-632-2593
• Email: chao.chen.1 (@) stonybrook.edu

Research Interests

I develop robust and trustworthy learning methods for modern biomedical data and beyond. My research draws from the following different domains.

• Robust and Trustworthy Machine Learning: backdoor attacks, adversarial attacks, label noise, uncertainty.

• Biomedical informatics: digital pathology, multi-omics data analytics, spatial and topological analysis of tissue micorenvionment.

• Topological data analysis: learning with topological features, topology-informed image segmentation and analysis.

Past Experience

• Assistant Professor of Computer Science, City University of New York (CUNY), United States

• Postdoc at Rutgers University, United States (advised by Prof. Dimitris Metaxas)

• Postdoc at Institute of Science and Technology, Austria (advised by Prof. Herbert Edelsbrunner)

• Ph.D. at Rensselaer Polytechnic Institute, United States (advised by Prof. Daniel Freedman)

• B.S. at Peking University, China

Awards

• 2022, NSF CAREER Award Topology-Driven Learning for Biomedical Imaging Informatics

  More details can be found at the department news!

• 2023, Stony Brook Trustees Faculty Awards (Story)

Recent Services

• Associate Editor, Pattern Recognition

• Action Editor, TMLR

• Area Chair, ICML 2023-2025

• Area Chair, CVPR 2025,2026

• Area Chair, NeurIPS 2021-2025

News and Annoucement

• New!! One paper accepted by TPAMI.

  Congratulations to Fan Wang for getting his paper accepted by the top journal: IEEE Transactions on Pattern Recognition and Machine Intelligence!

• New!! One paper accepted by NeurIPS.

  Congratulations to Zhilin Zou for getting his paper accepted by NeurIPS'26!

• New!! One paper accepted by ECCV.

  Congratulations to Chen Li for getting his paper accepted by ECCV'26!

• New!! One paper accepted by TMI.

  Congratulations to Wentao for getting his paper accepted by the top medical imaging journal: IEEE Transactions on Medical Imaging!

• New!! One paper accepted by ICML.

  Congratulations to Lingjie (Chris) Yi for getting his paper accepted by ICML'26!

• New!! One paper accepted by CVPR.

  Congratulations to Wentao for getting his paper accepted by CVPR'26!

• New!! One paper accepted by NeurIPS.

  Congratulations to Meilong for getting his paper accepted by NeurIPS'25!

  The paper tackles topology-preserving segmentation in a semi-supervised setting for digital pathology, introducing fine-grained modeling of coherency measuare of topological structures to help model learn topological invariance effectively.

• New!! One paper accepted by IEEE JBHI.

  Congratulations to Jiaqi for getting her paper accepted by IEEE Journal of Biomedical and Health Informatics (JBHI).

  The paper tackles leason segmentation of OCT images incorporating textual description in a domain-agnostic manner.

• New!! One paper accepted by TMI.

  Congratulations to Shahira for getting her paper accepted by the top medical imaging journal: IEEE Transactions on Medical Imaging!

  The paper tackles the task of effective cell detection and segmentation in multiplex IHC images, enabling spatial analysis of tumor microenvionment.