by xintaowu | Aug 24, 2017 | News
The tutorial “Anti-discrimination Learning: From Association to Causation” by Lu Zhang, Yongkai Wu, and Xintao Wu has been selected to be included in the IEEE Big Data 2017 program. Out of a total of 16 tutorial proposal submissions, 8 proposals were...
by xintaowu | Aug 18, 2017 | News
“Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning” authored by NhatHai Phan, Xintao Wu, Hao Hu, and Dejing Dou has been accepted as a regular paper at ICDM 2017, which will be held in New Orleans, on Nov 18-21, 2017. ICDM is a highly...
by xintaowu | Aug 16, 2017 | News
Four SAIL members (Yongkai Wu, Panpan Zheng, Depeng Xu, and Xintao Wu) attended the at KDD 2017, held in Halifax, Nova Scotia, Canada on August 13-17. Yongkai received student travel award and presented the work “Achieving Non-Discrimination in Data...
by xintaowu | Aug 5, 2017 | News
“Spectrum-based deep neural networks for fraud detection” authored by Shuhan Yuan, Xintao Wu, Aidong Lu, and Jun Li has been accepted for presentation at CIKM 2017, which will be held in Singapore on November 6-10. CIKM is a highly selective conference, which accepted...
by xintaowu | Aug 3, 2017 | News
“Differential Privacy Preserving Causal Graph Discovery” authored by Depeng Xu, Shuhan Yuan, and Xintao Wu has been presented as a full paper at PAC 2017, held in Washington DC on August 1-3. Among 36 submissions to the Research track, 15 were accepted. “DPWeka:...
Recent Comments