Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluations
Dong Li, Chen Zhao, Guihong Wan, Xintao Wu.
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Sydney, Australia, June 10th, 2025.
Supervised Algorithmic Fairness in Distribution Shifts.
Dong Li, Chen Zhao, Xintao Wu.
SIAM International Conference on Data Mining (SDM), Alexandria, Virginia, USA, May 1st, 2025.
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.
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)
Smart Society and Big Data Intelligence Lab, Tianjin University (May 2022, Tianjin, China, Host: Minglai Shao)
AI TIME (November 2021, Online, Host: Qing Qi)
Applications of Machine Learning in Social Science.
Institute of National Politics, Yunnan University (May 2023, Kunming, Yunnan, China, Host: Taihui Guo)
Fairness-aware Machine Learning for Multi-task Learning and Domain Generalization.
School of Information Science and Engineering, Yunnan University (May 2023, Kunming, Yunnan, China, Host: Kun Yue)
School of Business Administration, Southwestern University of Finance and Economics (May 2023, Chengdu, Sichuan, China, Host: Jingjing Tang and Shan Xu)
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)