Large scale app recommendation in Ant Financial. - Chaochao Chen 001; Xinxing Yang; Li Wang 056; Jun Zhou 011; Xiaolong Li 005 (IEEE BigData, 2017)

Time-sensitive Customer Churn Prediction based on PU Learning. - Li Wang 056; Chaochao Chen 001; Jun Zhou 011; Xiaolong Li 005 (CoRR, 2018)

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. - Cen Chen 001; Chen Liang; Jianbin Lin; Li Wang 056; Ziqi Liu; Xinxing Yang; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (IEEE BigData, 2019)

Adapted Tree Boosting for Transfer Learning. - Wenjing Fang; Chaochao Chen 001; Bowen Song; Li Wang 056; Jun Zhou 011; Kenny Q. Zhu (IEEE BigData, 2019)

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. - Bingzhe Wu; Shiwan Zhao; Chaochao Chen 001; Haoyang Xu; Li Wang 056; Xiaolu Zhang; Guangyu Sun 003; Jun Zhou 011 (NeurIPS, 2019)

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. - Bingzhe Wu; Chaochao Chen 001; Shiwan Zhao; Cen Chen 001; Yuan Yao; Guangyu Sun 003; Li Wang 056; Xiaolu Zhang; Jun Zhou 011 (AAAI, 2020)

Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. - Cen Chen 001; Bingzhe Wu; Li Wang 056; Chaochao Chen 001; Jin Tan; Lei Wang 152; Jun Zhou 011; Benyu Zhang (CIKM, 2020)

Secure Social Recommendation Based on Secret Sharing. - Chaochao Chen 001; Liang Li; Bingzhe Wu; Cheng Hong 001; Li Wang 056; Jun Zhou 011 (ECAI, 2020)

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. - Cen Chen 001; Ya-Lin Zhang 001; Minghui Qiu; Bingzhe Wu; Li Wang 056; Longfei Li; Jun Zhou 011 (WWW (Companion Volume), 2020)

Privacy Preserving PCA for Multiparty Modeling. - Yingting Liu; Chaochao Chen 001; Longfei Zheng; Li Wang 056; Jun Zhou 011; Guiquan Liu (CoRR, 2020)

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. - Cen Chen 001; Chen Liang; Jianbin Lin; Li Wang 056; Ziqi Liu; Xinxing Yang; Xiukun Wang; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (CoRR, 2020)

Practical Privacy Preserving POI Recommendation. - Chaochao Chen 001; Bingzhe Wu; Wenjin Fang; Jun Zhou 011; Li Wang 056; Yuan Qi 001; Xiaolin Zheng (CoRR, 2020)

Industrial Scale Privacy Preserving Deep Neural Network. - Longfei Zheng; Chaochao Chen 001; Yingting Liu; Bingzhe Wu; Xibin Wu; Li Wang 056; Lei Wang 152; Jun Zhou 011; Shuang Yang (CoRR, 2020)

Secret Sharing based Secure Regressions with Applications. - Chaochao Chen 001; Liang Li; Wenjing Fang; Jun Zhou 011; Li Wang 056; Lei Wang 152; Shuang Yang; Alex Liu; Hao Wang 007 (CoRR, 2020)

A Hybrid-Domain Framework for Secure Gradient Tree Boosting. - Wenjing Fang; Chaochao Chen 001; Jin Tan; Chaofan Yu; Yufei Lu; Li Wang 056; Lei Wang 152; Jun Zhou 011; Alex X (CoRR, 2020)

Privacy-Preserving Graph Neural Network for Node Classification. - Jun Zhou 011; Chaochao Chen 001; Longfei Zheng; Xiaolin Zheng; Bingzhe Wu; Ziqi Liu; Li Wang 056 (CoRR, 2020)

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. - Chaochao Chen 001; Jun Zhou 011; Li Wang 056; Xibin Wu; Wenjing Fang; Jin Tan; Lei Wang 152; Xiaoxi Ji; Alex Liu; Hao Wang 007; Cheng Hong 001 (CoRR, 2020)

Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. - Chaochao Chen 001; Jamie Cui; Guanfeng Liu 001; Jia Wu 001; Li Wang 056 (CoRR, 2020)

Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. - Yilun Lin; Chaochao Chen 001; Cen Chen 001; Li Wang 056 (CoRR, 2020)

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. - Chaochao Chen 001; Jun Zhou 011; Longfei Zheng; Yan Wang 002; Xiaolin Zheng; Bingzhe Wu; Cen Chen 001; Li Wang 056; Jianwei Yin (CoRR, 2020)

Highly-Scalable Protected Graph Database Search with Oblivious Filter. - Jamie Cui; Chaochao Chen 001; Li Wang 056 (IACR Cryptol. ePrint Arch., 2020)

Practical Privacy Preserving POI Recommendation. - Chaochao Chen 001; Jun Zhou 011; Bingzhe Wu; Wenjing Fang; Li Wang 056; Yuan Qi 001; Xiaolin Zheng (ACM Trans. Intell. Syst. Technol., 2020)

Large-scale Secure XGB for Vertical Federated Learning. - Wenjing Fang; Derun Zhao; Jin Tan; Chaochao Chen 001; Chaofan Yu; Li Wang 056; Lei Wang 152; Jun Zhou 011; Benyu Zhang (CIKM, 2021)

Privacy-Preserving Optimal Insulin Dosing Decision. - Zuobin Ying; Shuanglong Cao; Shengmin Xu; Ximeng Liu; Lingjuan Lyu; Cen Chen 001; Li Wang 056 (ICASSP, 2021)

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. - Chaochao Chen 001; Jun Zhou 011; Li Wang 056; Xibin Wu; Wenjing Fang; Jin Tan; Lei Wang 152; Alex X. Liu; Hao Wang 007; Cheng Hong 001 (KDD, 2021)

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. - Jinming Cui; Chaochao Chen 001; Lingjuan Lyu; Carl Yang 001; Li Wang 056 (NeurIPS, 2021)

ASFGNN: Automated separated-federated graph neural network. - Longfei Zheng; Jun Zhou 011; Chaochao Chen 001; Bingzhe Wu; Li Wang 056; Benyu Zhang (Peer-to-Peer Netw. Appl., 2021)

Learning to Generalize in Heterogeneous Federated Networks. - Cen Chen 001; Tiandi Ye; Li Wang 056; Ming Gao 001 (CIKM, 2022)

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. - Chaochao Chen 001; Jun Zhou 011; Longfei Zheng; Huiwen Wu; Lingjuan Lyu; Jia Wu 001; Bingzhe Wu; Ziqi Liu; Li Wang 056; Xiaolin Zheng (IJCAI, 2022)

Backdoor Defense with Machine Unlearning. - Yang Liu 118; Mingyuan Fan 003; Cen Chen 001; Ximeng Liu; Zhuo Ma 001; Li Wang 056; Jianfeng Ma 001 (INFOCOM, 2022)

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. - Chaochao Chen 001; Huiwen Wu; Jiajie Su; Lingjuan Lyu; Xiaolin Zheng; Li Wang 056 (WWW, 2022)

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. - Jamie Cui; Chaochao Chen 001; Lingjuan Lyu; Carl Yang 001; Li Wang 056 (CoRR, 2022)

Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection. - Yingting Liu; Chaochao Chen 001; Jamie Cui; Li Wang 056; Lei Wang 152 (CoRR, 2022)

cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. - Tao Lu; Chengkun Wei; Ruijing Yu; Yi Chen; Li Wang 056; Chaochao Chen 001; Zeke Wang; Wenzhi Chen (IACR Cryptol. ePrint Arch., 2022)

Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices. - Mingyuan Fan 003; Yang Liu 118; Cen Chen 001; Shengxing Yu; Wenzhong Guo; Li Wang 056; Ximeng Liu (IEEE Internet Things J., 2022)

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. - Jun Zhou 011; Longfei Zheng; Chaochao Chen 001; Yan Wang 002; Xiaolin Zheng; Bingzhe Wu; Cen Chen 001; Li Wang 056; Jianwei Yin (ACM Trans. Intell. Syst. Technol., 2022)

Video-Audio Domain Generalization via Confounder Disentanglement. - Shengyu Zhang 001; Xusheng Feng; Wenyan Fan; Wenjing Fang; Fuli Feng; Wei Ji 008; Shuo Li; Li Wang 056; Shanshan Zhao 001; Zhou Zhao 001; Tat-Seng Chua; Fei Wu 001 (AAAI, 2023)

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy. - Wenqiang Ruan; Mingxin Xu; Wenjing Fang; Li Wang 056; Lei Wang 152; Weili Han (SP, 2023)

FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. - Zhuan Shi; Lan Zhang 002; Zhenyu Yao; Lingjuan Lyu; Cen Chen 001; Li Wang 056; Junhao Wang; Xiang-Yang Li 001 (IEEE Trans. Big Data, 2024)