Deep Tensor CCA for Multi-view Learning

May 25, 2020
Hok Shing Wong, Li Wang, Raymond Chan, Tieyong Zeng


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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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Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds

May 06, 2020
Li Wang, Dawei Zhao, Tao Wu, Hao Fu, Zhiyu Wang, Liang Xiao, Xin Xu, Bin Dai


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

Mar 12, 2020
Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Yang Shuang, Yuan Qi


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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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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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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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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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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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Show, Recall, and Tell: Image Captioning with Recall Mechanism

Jan 15, 2020
Li Wang, Zechen Bai, Yonghua Zhang, Hongtao Lu


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Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points

Dec 04, 2019
Zitong Wang, Li Wang, Raymond Chan, Tieyong Zeng

* 25 Pages, 2 figures 

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There is Limited Correlation between Coverage and Robustness for Deep Neural Networks

Nov 14, 2019
Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting


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Hetero-Center Loss for Cross-Modality Person Re-Identification

Oct 22, 2019
Yuanxin Zhu, Zhao Yang, Li Wang, Sai Zhao, Xiao Hu, Dapeng Tao

* 16 pages, 10 figures 

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Unsupervised Multi-stream Highlight detection for the Game "Honor of Kings"

Oct 22, 2019
Li Wang, Zixun Sun, Wentao Yao, Hui Zhan, Chengwei Zhu


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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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A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis

Sep 25, 2019
Leihong Zhang, Li Wang, Zhaojun Bai, Ren-cang Li


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

Sep 25, 2019
Bingzhe Wu, Shiwan Zhao, ChaoChao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou

* Accepted by NeurIPS 2019 

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Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior

Jun 05, 2019
Feng Liu, Li Wang, Yifei Lou, Rencang Li, Patrick Purdon


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Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction

May 27, 2019
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang

* 10 pages for paper and 6 pages for the supplementary material 

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Glioma Grade Predictions using Scattering Wavelet Transform-Based Radiomics

May 23, 2019
Qijian Chen, Lihui Wang, Li Wang, Zeyu Deng, Jian Zhang, Yuemin Zhu


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Convolutional Restricted Boltzmann Machine Based-Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

May 23, 2019
Li Wang, Lihui Wang, Qijian Chen, Caixia Sun, Xinyu Cheng, Yuemin Zhu

* 8 pages, 6 figures, 3 tables 

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