Publications

2023

Meihui Zhang, Cong Yue, Changhao Zhu, and Ziyue Zhong. “LEDGERBENCH: A Framework for Benchmarking Ledger Databases”. IEEE Data Engineering Bulletin, 2023.
Yuncheng Wu, Naili Xing, Gang Chen, Tien Tuan Anh Dinh, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao, Meihui Zhang. “Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System”. In Proceedings of the VLDB Endowment (PVLDB), 2023.
Zhaojing Luo, Shaofeng Cai, Yatong Wang, Beng Chin Ooi. “Regularized Pairwise Relationship based Analytics for Structured Data”. In ACM Special Interest Group in Management of Data (SIGMOD), 2023.
Yatong Wang, Yuncheng Wu, Xincheng Chen, Gang Feng, Beng Chin Ooi. “Incentive-Aware Decentralized Data Collaboration”. In ACM Special Interest Group in Management of Data (SIGMOD), 2023.
Rui Fu, Yuncheng Wu, Quanqing Xu, Meihui Zhang. “FEAST: A Communication-Efficient Federated Feature Selection Framework for Relational Data”. In ACM Special Interest Group in Management of Data (SIGMOD), 2023.

Xinjian Luo, Yangfan Jiang, Xiaokui Xiao. “Feature Inference Attack on Shapley Values”. In ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022: 2233-2247.
Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi. “A Fusion-Denoising Attack on InstaHide with Data Augmentation”. In AAAI Conference on Artificial Intelligence (AAAI), 2022: 1899-1907.

Xinjian Luo, Yuncheng Wu, Xiaokui Xiao, Beng Chin Ooi. “Feature Inference Attack on Model Predictions in Vertical Federated Learning”. Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2021.
Can Cui, Wei Wang, Meihui Zhang, Gang Chen, Zhaojing Luo, Beng Chin Ooi. “AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment”. In ACM Special Interest Group in Management of Data (SIGMOD), 2021.
Pan Zhou, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Yuncheng Wu, Hongfang Yu. “Communication-efficient Decentralized Machine Learning over Heterogeneous Networks”. Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2021.

M. Zhang, Z. Xie, C. Yue, Z Zhong. “Spitz: A Verifiable Database System”. Proceedings of the VLDB Endowment, 2020.
Y. Wu, S. Cai, X. Xiao, G. Chen, B.C. Ooi. “Privacy Preserving Vertical Federated Learning for Tree-based Models”. Proceedings of the VLDB Endowment, 2020.
C. Yue. Z. Xue, M. Zhang, G. Chen, B. C. Ooi, S. Wang, X. Xiao. “Analysis of Indexing Structures for Immutable Data”. ACM International Conference on Management of Data (SIGMOD), 2020.
Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh, Qingchao Cai, Gang Chen, Beng Chin Ooi, Pingcheng Ruan, Sheng Wang, Zhongle Xie, Meihui Zhang, Olafs Vandans. “ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications”. Proceedings of the IEEE International Conference onData Engineering (ICDE), 2020.
Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen. “LoCEC: Local Community-based Edge Classification in Large Online Social Networks”. Proceedings of the IEEE International Conference onData Engineering (ICDE), 2020.

Hung Dang, Tien Tuan Anh Dinh, Dumitrel Loghin, Ee-Chien Chang, Qian Lin, Beng Chin Ooi. “Towards Scaling Blockchain Systems via Sharding”. Proceedings of the 2019 International Conference on Management of Data (SIGMOD), 2019.
Pingcheng Ruan, Gang Chen, Tien Tuan Anh Dinh, Qian Lin, Beng Chin Ooi, Meihui Zhang. “Fine-Grained, Secure and Efficient Data Provenance onBlockchain Systems”. Proceedings of the VLDB Endowment, 2019 [Best Paper Award of VLDB 2019].
Nguyen Minh Quang, Dumitrel Loghin, Tien Tuan Anh Dinh. “Understanding the Scalability of Hyperledger Fabric”. The VLDB workshop on Blockchain and Distributed Ledger (BCDL), 2019.
Zhaojing Luo, Shaofeng Cai, Gang Chen, Jinyang Gao, Wang-Chien Lee, Kee Yuan Ngiam, Meihui Zhang. “Improving Data Analytics with Fast and Adaptive Regularization”. IEEE Transactions on Knowledge and Data Engineering, 2019.