Li Wang

According to our database, Li Wang authored at least 37 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy.

Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Video-Audio Domain Generalization via Confounder Disentanglement.

Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.

Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin

ACM Trans. Intell. Syst. Technol., 2022

Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices.

Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Li Wang, Ximeng Liu

IEEE Internet Things J., 2022

Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection.

Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang

CoRR, 2022

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation.

Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang

CoRR, 2022

Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation.

Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Backdoor Defense with Machine Unlearning.

Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma

Proceedings of the IEEE INFOCOM 2022, 2022

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.

Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning to Generalize in Heterogeneous Federated Networks.

Cen Chen, Tiandi Ye, Li Wang, Ming Gao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

ASFGNN: Automated separated-federated graph neural network.

Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang

Peer-to-Peer Netw. Appl., 2021

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation.

Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.

Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Privacy-Preserving Optimal Insulin Dosing Decision.

Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Large-scale Secure XGB for Vertical Federated Learning.

Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Practical Privacy Preserving POI Recommendation.

Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng

ACM Trans. Intell. Syst. Technol., 2020

Highly-Scalable Protected Graph Database Search with Oblivious Filter.

Jamie Cui, Chaochao Chen, Li Wang

IACR Cryptol. ePrint Arch., 2020

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.

Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin

CoRR, 2020

Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty.

Yilun Lin, Chaochao Chen, Cen Chen, Li Wang

CoRR, 2020

Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications.

Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang

CoRR, 2020

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.

Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong

CoRR, 2020

Privacy-Preserving Graph Neural Network for Node Classification.

Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang

CoRR, 2020

A Hybrid-Domain Framework for Secure Gradient Tree Boosting.

Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X

CoRR, 2020

Secret Sharing based Secure Regressions with Applications.

Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang

CoRR, 2020

Industrial Scale Privacy Preserving Deep Neural Network.

Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang

CoRR, 2020

Practical Privacy Preserving POI Recommendation.

Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng

CoRR, 2020

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.

Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi

CoRR, 2020

Privacy Preserving PCA for Multiparty Modeling.

Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu

CoRR, 2020

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.

Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Secure Social Recommendation Based on Secret Sharing.

Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial.

Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics.

Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection.

Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adapted Tree Boosting for Transfer Learning.

Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.

Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Time-sensitive Customer Churn Prediction based on PU Learning.

Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li

CoRR, 2018

2017

Large scale app recommendation in Ant Financial.

Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017