Talks

Conference Tutorials

• Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluations
  • Dong Li, Chen Zhao, Guihong Wan, Xintao Wu, Yevgeniy Semenov.
    The International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 16th, 2025.
  • Dong Li, Chen Zhao, Guihong Wan, Xintao Wu, Yevgenly Semenov.
    The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Sydney, Australia, June 10th, 2025. [Website]
• Supervised Algorithmic Fairness in Distribution Shifts.
  • Dong Li, Chen Zhao, Xintao Wu.
    The International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 16th, 2025.
  • Dong Li, Chen Zhao, Xintao Wu.
    SIAM International Conference on Data Mining (SDM), Alexandria, Virginia, USA, May 1st, 2025. [Website] [Slides]
  • Dong Li, Chen Zhao, Xintao Wu.
    The Annual AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, PA, USA, February 25th, 2025. [Website] [Slides]
  • Chen Zhao, Xintao Wu.
    IEEE International Conference on Big Data (BigData), Washington D.C., USA, December 15th, 2024. [Website] [Slides]

Invited Talks

• Advancements in Foundation Models for Computational Pathology.
  • [Keynote Talk] The workshop on Foundational AI for Pervasive Computing (June 2025, Sydney, Australia, Host: Beiyu Lin)
  • AAAI Bridge between AI and Scientific Knowledge Organization (February 2025, Philadelphia, PA, USA, Host: Azanzi Jiomekong and Sören Auer)
• Advances in Fairness and Robustness in Machine Learning Under Distribution Shifts.
  • Department of Computer Science, Brigham Young University (March 2025, Provo, UT, USA, Host: Porter Jenkins)
  • AI TIME (October 2024, Online, Host: Qing Qi)
  • Graduate Seminar, Baylor University (September 2024, Waco, TX, USA, Host: Eunjee Song)
  • Equifax Inc. (July 2024, Online, Host: Joseph White)
  • Data Science Seminar, Baylor University (October 2023, Waco, TX, USA, Host: Henry Han)
  • Data Science and System Security team, NEC Laboratories America (October 2022, Princeton, NJ, USA, Host: Haifeng Chen)
• Towards Fair Online Learning for Changing Environments.
  • AI TIME (July 2023, Online, Host: Qing Qi)
  • AI TIME (July 2022, Online, Host: Qing Qi)
  • AI TIME (November 2021, Online, Host: Qing Qi)
• Fairness-aware Machine Learning for Multi-task Learning and Domain Generalization.
  • AI TIME (May 2023, Online, Host: Qing Qi)
  • Department of Electronics and Computer Engineering Technology, Indiana State University (April 2023, Terre Haute, IN, USA, Host: Xiaolong Li)
  • Department of Computer Science, SUNY at Albany (April 2023, Albany, NY, USA, Host: Aveek Dutta)
  • Department of Computer Science, Tennessee State University (March 2023, Nashville, TN, USA, Host: Tamara Rogers)
  • Department of Computer Science, Millersville University (March 2023, Millersville, PA, USA, Host: Jingnan Xie)
  • Department of Computer Science, Baylor University (March 2023, Waco, TX, USA, Host: Henry Han)
  • Department of Computer Science and Information Science, University of Mississippi (February 2023, Oxford, MS, USA, Host: ByungHyun Jang)
  • Department of Computer Science, University of Alabama at Birmingham (January 2023, Birmingham, AL, USA, Host: Chengcui Zhang)
  • Department of Computer Science, University of Central Missouri (December 2022, Warrensburg, CO, USA, Host: Belinda Copus)
  • Department of Computer Science, East Carolina University (November 2022, Greenville, NC, USA, Host: Nic Herndon)
• Fairness-aware Machine Learning for Multi-task Learning.
  • Department of Computer Science, The University of Texas at Dallas (November 2022, Richardson, TX, USA, Host: Feng Chen)
• Success to Become a Medical Doctor and Biologist.
  • Shaker High School (April 2015, Latham, NY, USA, Host: Alan Dai)