by xintaowu | Feb 16, 2024 | News
The following papers have been recently accepted by PAKDD’24 and CHASE’24 conferences. Congratulations to Hao, Alycia, and Prateek! Minh-Hao Van, Prateek Verma, and Xintao Wu. “On Large Visual Language Models for Medical Imaging Analysis: An Empirical...
by xintaowu | Feb 12, 2024 | Activity, News, Seminar
On Feb 12, 2024, Wu visited University of Kansas and gave an invited talk at I2S Speaker Series. Speech title: Achieving causal fairness in bandit based recommendation Abstract: In online recommendation, customers arrive in a sequential and stochastic manner from an...
by xintaowu | Dec 14, 2023 | News
The paper entitled “Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach” by Karuna Bhaila, Wen Huang, Yongkai Wu, and Xintao Wu has been accepted to the 24th SIAM International Conference on Data Mining (SDM) which will be held at Houston,...
by xintaowu | Dec 8, 2023 | News
The paper entitled “Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach” by Wen Huang, and Xintao Wu has been accepted to the 38th AAAI Conference on Artificial Intelligence (AAAI) which will be held at Vancouver,...
by xintaowu | Dec 1, 2023 | News
The paper entitled “Contrastive Learning for Fraud Detection from Noisy Labels” by Vinay M.S, Shuhan Yuan, and Xintao Wu has been accepted to the 40th IEEE International Conference on Data Engineering (ICDE) which will be held at Utrecht, Netherlands, May 13-16, 2024....
by xintaowu | Nov 16, 2023 | News, Uncategorized
The following three posters were presented at the AIMRC annual symposium on Nov 16, 2023. On Large Visual Language Models for Brain Tumor Classification by Hao Van, Prateek Verma, and Xintao Wu Robust Influence-based Training Methods for Noisy Brain MRI by Hao Van,...
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