Tang Li (李唐)

Tang Li (李唐)

University of Delaware

I am a Ph.D. student in the Computer & Information Science Department at the University of Delaware. I work under the advice of Prof. Xi Peng in the Deep-REAL Lab. You may find my Curriculum Vitae here.

My research interest includes Explainable Machine Learning , Scientific Machine Learning, Out-of-distribution Generalization, and Computer Vision. I have published papers at the top international AI conferences and workshops such as NeurIPS and CVPR.

📝 Publications

CVPR 2023
sym

Are Data-driven Explanations Robust against Out-of-distribution Data?

Tang Li, Fengchun Qiao, Mengmeng Ma, Xi Peng

Paper | Code | Video

  • In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (acceptance rate 25.8%)
NeurIPS 2021
sym

Deep Learning for Spatiotemporal Modeling of Urbanization

Tang Li, Jing Gao, Xi Peng

Paper | Video | Award

  • In Proceedings of the Conference on Neural Information Processing Systems (NeurIPS) Workshops on Machine Learning in Public Health (MLPH), 2021. (Best Paper Award)

🎖 Honors and Awards

  • 2023.03 Department Travel Award for Outstanding Conference Publications, University of Delaware.
  • 2022.05 Distinguished Graduate Student Award, Computer & Information Sciences, University of Delaware.
  • 2021.12 Best Paper Award, MLPH Workshop, Conference on Neural Information Processing Systems (NeurIPS)

📖 Educations

  • 2020.08 - present, Ph.D. in Computer Science, University of Delaware, Newark, DE, USA.
  • 2018.08 - 2020.05, Master in Computer Science, George Washington University, Washington D.C., USA.
  • 2013.09 - 2017.06, B.Eng. in Software Engineering, East China Normal University, Shanghai, China.

💬 Invited Talks

  • 2023.05, the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. | [video]
  • 2021.12, MLPH Workshop, Conference on Neural Information Processing Systems (NeurIPS). | [video]

💻 Professional Services

  • 2022.03 - present, DSI Fellow, University of Delaware Data Science Institute (DSI), USA.

👨‍🏫 Teaching

  • CISC 484 (Introduction to Machine Learning), Teaching Assistant, Fall2022.
  • CISC 220 (Data Structure), Teaching Assistant, Fall2023.
  • CISC 108 (Introduction to Computer Science), Teaching Assistant, Fall2020, Spring2021, Fall2021.
  • CISC 181 (Introduction to Computer Science II), Teaching Assistant, Spring2022, Spring2023.