Multiple papers got accepted at IEEE BigData Conference!

by | Oct 25, 2022 | News

The following six papers have been accepted as regular paper by the 2022 IEEE International Conference on Big Data which will be held in Osaka Japan during Dec 17-20. This year the research track of the conference received 633 submissions and accepted 122 regular papers (19.2%) and  118 short papers (18.6%). Big congratulations to all SAIL members for publishing their research work!

  • Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, and Xintao Wu. “SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge”. Proceedings of the 2022 IEEE International Conference on Big Data (BigData), Osaka, Japan, Dec 17-20, 2022.
  • Karuna Bhaila, Yongkai Wu, and Xintao Wu. “Fair Collective Classification in Networked Data”. Proceedings of the 2022 IEEE International Conference on Big Data (BigData), Osaka, Japan, Dec 17-20, 2022.
  • Vinay M.S., Shuhan Yuan, and Xintao Wu. “Fraud Detection via Contrastive Positive Unlabeled Learning”. Proceedings of the 2022 IEEE International Conference on Big Data (BigData), Osaka, Japan, Dec 17-20, 2022.
  • Alycia Carey, Wei Du, and Xintao Wu. “Robust Personalized Federated Learning under Demographic Fairness Heterogeneity”. Proceedings of the 2022 IEEE International Conference on Big Data (BigData), Osaka, Japan, Dec 17-20, 2022.
  • Wei Du, Xintao Wu, and Hanghang Tong. “Fair Regression under Sample Selection Bias”. Proceedings of the 2022 IEEE International Conference on Big Data (BigData), Osaka, Japan, Dec 17-20, 2022.
  • Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, and Aidong Lu. “Defending Evasion Attacks via Adversarially Adaptive Training”. Proceedings of the 2022 IEEE International Conference on Big Data (BigData), Osaka, Japan, Dec 17-20, 2022.

With collaborations, two other papers on trustworthy AI topics were also accepted.

  • Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, and Hanghang Tong. “InfoFair: Information-Theoretic Intersectional Fairness”. Proceedings of the 2022 IEEE International Conference on Big Data (BigData), Osaka, Japan, Dec 17-20, 2022. (regular paper, acceptance ratio 122/633).
  • Khang Tran, Phung Lai, Hai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My Thai, and Xintao Wu. “Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks”. Proceedings of the 2022 IEEE International Conference on Big Data (BigData), Osaka, Japan, Dec 17-20, 2022. (short paper, acceptance ratio 122+118/633).