Sinno Jialin Pan (Ph.D.)

[Google Scholar Profile]
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Global STEM Scholar
Hong Kong



  • alt textMy former PhD student, Wenya Wang, has returned to the School of Computer Science and Engineering at NTU as an Assistant Professor to establish her independent research group focusing on Natural Language Processing (NLP) and multimodal reasoning. She is actively looking for motivated PhD students. Please visit her homepage ( for details.
  • alt textI am looking for self-motivated PhD students who are interested in machine learning and artificial intelligence for Fall 2023/2024 Intake.


  • Sinno Jialin Pan is a Professor and a Global STEM Scholar with the Department of Computer Science and Engineering at the Chinese University of Hong Kong (CUHK) in Hong Kong. He is the Director of the JC STEM Lab of Machine Learning and Symbolic Reasoning. Before joining CUHK, he was a Provost's Chair Professor in Computer Science and Engineering with Nanyang Technological University (NTU) in Singapore. He received his Ph.D. degree in computer science from the Hong Kong University of Science and Technology (HKUST) in 2011. He was a scientist and Lab Head of text analytics with the Data Analytics Department at Institute for Infocomm Research in Singapore from 2010 to 2014. After that he joined NTU as a Nanyang Assistant Professor (university named assistant professor) in 2014 and was promoted to Associate Professor and Professor in 2019 and 2022, respectively. He was appointed as a Provost's Chair in Computer Science and Engineering in 2019. He was named to the list of "AI 10 to Watch" by the IEEE Intelligent Systems magazine in 2018. He serves as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Artificial Intelligence (AIJ), and ACM Transactions on Intelligent Systems and Technolog (TIST).
  • My current research interests include: 1) General methods of integrating logical reasoning into deep learning models and their applications to NLP and other potential application domains, 2) Transfer learning for model compression, 3) Distributed (multi-task) learning. Click here for more details.


  • Ph.D. in Computer Science (2011), Hong Kong University of Science and Technology (HKUST), Hong Kong.
  • M.S. in Applied Mathematics (2005), Sun Yat-Sen University, Guangzhou, China.
  • B.S. in Applied Mathematics (2003), Sun Yat-Sen University, Guangzhou, China.

Visiting Scholar and Intern Experience

  • 2009.07 - 2010.02: Research Intern, Machine Learning Group, Microsoft Research Asia (MSRA), Beijing, China.
  • 2009.01 - 2009.02: Visiting Scholar, Department of Computer Science, California Institute of Technology (Caltech), CA, USA.
  • 2008.09 - 2009.01: Visiting Scholar, Machine Learning Department, Carnegie Mellon University (CMU), PA, USA.

Contact Information

  • Office: 927, Ho Sin Hang Engineering Building (SHB)
  • Phone: +852 3943 9634
  • Email: sinnopan (AT) / sinnopan (AT)
  • Postal Address: Room 927, Ho Sin-Hang Engineering Building, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR