Li Wang - RankMe

47 papers A* 9A 4Misc 1Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. IEEE Trans. Big Data Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, Xiang-Yang Li
2023	A*	`conf`	Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy. SP Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han
2023	A*	`conf`	Video-Audio Domain Generalization via Confounder Disentanglement. AAAI 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
2022	A*	`conf`	Backdoor Defense with Machine Unlearning. INFOCOM Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma
2022	J	`jnl`	Backdoor Defense with Machine Unlearning. CoRR Yang Liu, Mingyuan Fan, Cen Chen, Ximeng Liu, Zhuo Ma, Li Wang, Jianfeng Ma
2022	A*	`conf`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	J	`jnl`	Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang
2022	J	`jnl`	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
2022	A	`conf`	Learning to Generalize in Heterogeneous Federated Networks. CIKM Cen Chen, Tiandi Ye, Li Wang, Ming Gao
2022	J	`jnl`	Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy. CoRR Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han
2022	J	`jnl`	Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection. CoRR Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang
2022	J	`jnl`	Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices. IEEE Internet Things J. Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Li Wang, Ximeng Liu
2022	J	`jnl`	Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2022	A*	`conf`	Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
2022	J	`jnl`	cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs. IACR Cryptol. ePrint Arch. Tao Lu, Chengkun Wei, Ruijing Yu, Yi Chen, Li Wang, Chaochao Chen, Zeke Wang, Wenzhi Chen
2021	J	`jnl`	ASFGNN: Automated separated-federated graph neural network. Peer-to-Peer Netw. Appl. Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
2021	A*	`conf`	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang
2021	A	`conf`	Large-scale Secure XGB for Vertical Federated Learning. CIKM Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang
2021	Misc	`conf`	Privacy-Preserving Optimal Insulin Dosing Decision. ICASSP Zuobin Ying, Shuanglong Cao, Shengmin Xu, Ximeng Liu, Lingjuan Lyu, Cen Chen, Li Wang
2021	A*	`conf`	When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. KDD Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong
2020	J	`jnl`	A Hybrid-Domain Framework for Secure Gradient Tree Boosting. CoRR Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X
2020	J	`jnl`	ASFGNN: Automated Separated-Federated Graph Neural Network. CoRR Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang
2020	J	`jnl`	Adapted tree boosting for Transfer Learning. CoRR Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
2020	—	`conf`	Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou
2020	A*	`conf`	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
2020	J	`jnl`	Highly-Scalable Protected Graph Database Search with Oblivious Filter. IACR Cryptol. ePrint Arch. Jamie Cui, Chaochao Chen, Li Wang
2020	J	`jnl`	Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty. CoRR Yilun Lin, Chaochao Chen, Cen Chen, Li Wang
2020	J	`jnl`	Industrial Scale Privacy Preserving Deep Neural Network. CoRR Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang
2020	J	`jnl`	InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi
2020	A	`conf`	Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. CIKM Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. CoRR Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng
2020	J	`jnl`	Privacy Preserving PCA for Multiparty Modeling. CoRR Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu
2020	J	`jnl`	Privacy-Preserving Graph Neural Network for Node Classification. CoRR Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang
2020	J	`jnl`	Secret Sharing based Secure Regressions with Applications. CoRR Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang
2020	A	`conf`	Secure Social Recommendation Based on Secret Sharing. ECAI Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
2020	J	`jnl`	Secure Social Recommendation based on Secret Sharing. CoRR Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou
2020	J	`jnl`	Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. CoRR Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang
2020	J	`jnl`	Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin
2020	J	`jnl`	When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. CoRR Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong
2019	—	`conf`	Adapted Tree Boosting for Transfer Learning. IEEE BigData Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu
2019	J	`jnl`	Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou
2019	A*	`conf`	Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. NeurIPS Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
2019	J	`jnl`	Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. CoRR Bingzhe Wu, Shiwan Zhao, Haoyang Xu, Chaochao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou
2019	—	`conf`	InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi
2018	J	`jnl`	Time-sensitive Customer Churn Prediction based on PU Learning. CoRR Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li
2017	—	`conf`	Large scale app recommendation in Ant Financial. IEEE BigData Chaochao Chen, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li