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A Deep Framework for Cross-Domain and Cross-System Recommendations

Sep 14, 2020
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet Orgun, Jia Wu


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

Aug 20, 2020
Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong


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Privacy-Preserving Graph Neural Network for Node Classification

May 25, 2020
Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang


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A Hybrid-Domain Framework for Secure Gradient Tree Boosting

May 18, 2020
Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X


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Secret Sharing based Secure Regressions with Applications

Apr 10, 2020
Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang


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Industrial Scale Privacy Preserving Deep Neural Network

Mar 12, 2020
Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang


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Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization

Mar 12, 2020
Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li

* Accepted by AAAI'18 

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Secure Social Recommendation based on Secret Sharing

Mar 05, 2020
Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou

* Accepted by ECAI'20 

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Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model

Mar 05, 2020
Chaochao Chen, Kevin C. Chang, Qibing Li, Xiaolin Zheng

* Accepted by TKDD 

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Practical Privacy Preserving POI Recommendation

Mar 05, 2020
Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng


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Heterogeneous Graph Neural Networks for Malicious Account Detection

Feb 27, 2020
Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song


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Adapted tree boosting for Transfer Learning

Feb 27, 2020
Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu


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How Much Can A Retailer Sell? Sales Forecasting on Tmall

Feb 27, 2020
Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong

* Accepted by PAKDD'19 

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Privacy Preserving PCA for Multiparty Modeling

Feb 09, 2020
Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu


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A Time Attention based Fraud Transaction Detection Framework

Dec 26, 2019
Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li


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Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

Oct 05, 2019
Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou

* Under review of AAAI 2020 

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GeniePath: Graph Neural Networks with Adaptive Receptive Paths

Nov 05, 2018
Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi


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FinBrain: When Finance Meets AI 2.0

Aug 26, 2018
Xiaolin Zheng, Mengying Zhu, Qibing Li, Chaochao Chen, Yanchao Tan

* Frontiers of Information Technology & Electronic Engineering 2018 
* 11 pages 

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Distributed Collaborative Hashing and Its Applications in Ant Financial

May 31, 2018
Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li

* 10 pages 

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Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud

May 27, 2018
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou


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Time-sensitive Customer Churn Prediction based on PU Learning

Feb 27, 2018
Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li


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