by xintaowu | Oct 27, 2021 | Activity, News
Towards Robust Machine Learning under Distribution Shift and Adversarial Attack Presenter(s): Xintao Wu Date: October 27, 2021 As big data and AI technologies are deployed to make critical decisions that potentially affect individuals (e.g., employment, college...
by xintaowu | Jan 7, 2021 | Activity, News
Depeng gave a presentation at International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI’20) on Jan 7, 2021 for the paper “Achieving Differential Privacy in Vertically Partitioned...
by xintaowu | Dec 13, 2020 | Activity, News
The 2020 IEEE International Conference on Big Data was taking place virtually on Dec 10-13! SAIL members have significantly contributed to the success of this year’s conference with Xintao Wu as program co-chair, Lu Zhang, Shuhan Yuan, Yongkai Wu, Kevin Labille,...
by xintaowu | Dec 2, 2020 | Activity, News
The paper entitled “A Generative Adversarial Framework for Bounding Confounded Causal Effects” by Yaowei Hu, Yongkai Wu, Lu Zhang, and Xintao Wu has been accepted for presentation at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)....
by xintaowu | Nov 19, 2020 | Activity, News
Wu gave invited talks on “Generative Adversarial Networks for Fair Machine Learning and Fraud Detection” at Donaghey College of Science, Technology, Engineering, and Mathematics Colloquium Series of University of Arkansas at Little Rock on Nov 6, 2020 and...
by xintaowu | Jul 23, 2020 | Activity, News
Wu accepted an invitation as area chair for IJCAI 2021 (the 30th International Joint Conference on Artificial Intelligence), which is planned to be held in Aug.2021, Montreal Canada.
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