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,...
by xintaowu | Oct 28, 2023 | News
The following three papers have been accepted by workshops of NeurIPS’23 which will be held at New Orleans during Dec 10-16, 2023. Big congratulations to all SAIL members for publishing their research work! Local Differential Privacy in Graph Neural Networks: a...
by xintaowu | Oct 28, 2023 | News
The following three papers have been accepted (two as regular paper and one as short paper) by the 2023 IEEE International Conference on Big Data which will be held in Sorrento Italy Osaka during Dec 15-18. This year the research track of the conference received 526...
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