Research Papers

Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, and Bolin Ding.
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation.
Proceedings of the VLDB Endowment (PVLDB), 2024.

Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Yiqian Huang, and Bo Tang.
Information Diffusion Meets Invitation Mechanism.
Proceedings of the ACM Web Conference (TheWebConf), 2024.

Hewen Wang, Renchi Yang, Keke Huang, and Xiaokui Xiao.
Efficient and Effective Edge-wise Graph Representation Learning.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2023.

Ergute Bao, Dawei Gao, Xiaokui Xiao, and Yaliang Li.
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2023.

Shiqi Zhang, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, and Bo Tang.
Capacity Constrained Influence Maximization in Social Networks.
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2023.

Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, and Bo Tang.
Effective and Efficient PageRank-based Positioning for Graph Visualization.
Proceedings of the ACM on Management of Data (PACMMOD), 2023.

Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Bengjiamin Hong Meng Tan, and Khin Mi Mi Aung.
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy.
Proceedings of the VLDB Endowment (PVLDB), 2022.

Renchi Yang, Jieming Shi, Keke Huang, and Xiaokui Xiao.
Scalable and Effective Bipartite Network Embedding.
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2022.

Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, and Bo Tang.
Measuring Friendship Closeness: A Perspective of Social Identity Theory.
Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2022.

Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, and Xiaokui Xiao.
Effective and Scalable Clustering on Massive Attributed Graphs.
Proceedings of the ACM Web Conference (TheWebConf), 2021.

Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, and Sourav S. Bhowmick.
Scaling Attributed Network Embedding to Massive Graphs.
Proceedings of the VLDB Endowment (PVLDB), 2020.