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STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting

Dec 18, 2020
Mingjie Wang, Hao Cai, Xianfeng Han, Jun Zhou, Minglun Gong

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

Dec 17, 2020
Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin

* 12 pages. arXiv admin note: text overlap with arXiv:2003.05198 

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Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

Dec 13, 2020
Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen

* 9 pages, 6 figures, WSDM2021, accepted 

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SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising

Dec 03, 2020
Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian

* 11 Pages 

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ASFGNN: Automated Separated-Federated Graph Neural Network

Nov 06, 2020
Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang

* 15 pages 

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Multi-layer Feature Aggregation for Deep Scene Parsing Models

Nov 04, 2020
Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang, Qiang Wu

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Parameter Efficient Deep Neural Networks with Bilinear Projections

Nov 03, 2020
Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang

* IEEE Transactions on Neural Networks and Learning Systems 2020 

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PP-OCR: A Practical Ultra Lightweight OCR System

Oct 15, 2020
Yuning Du, Chenxia Li, Ruoyu Guo, Xiaoting Yin, Weiwei Liu, Jun Zhou, Yifan Bai, Zilin Yu, Yehua Yang, Qingqing Dang, Haoshuang Wang

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Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss

Sep 22, 2020
Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu

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Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning

Sep 16, 2020
Yang Liu, Lei Zhou, Xiao Bai, Lin Gu, Tatsuya Harada, Jun Zhou

* 10 pages, 7 figures, 4 tables 

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3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation

Sep 15, 2020
Yuanpeng Liu, Jun Zhou, Yuqi Zhang, Chao Ding, Jun Wang

* 9 pages, 5 figures 

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A Comprehensive Analysis of Information Leakage in Deep Transfer Learning

Sep 04, 2020
Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou

* 10 pages 

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Self-supervised Smoothing Graph Neural Networks

Sep 02, 2020
Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang

* 11 pages, 2 figures 

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Heterogeneous Graph Neural Network for Recommendation

Sep 02, 2020
Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou

* 2020ICML Workshop 

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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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Bandit Samplers for Training Graph Neural Networks

Jun 11, 2020
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi

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Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting

May 25, 2020
Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong

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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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RNE: A Scalable Network Embedding for Billion-scale Recommendation

Apr 09, 2020
Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi

* PAKDD 2019 

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Unpack Local Model Interpretation for GBDT

Apr 03, 2020
Wenjing Fang, Jun Zhou, Xiaolong Li, Kenny Q. Zhu

* 12 pages, 5 figures 

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NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay

Apr 01, 2020
Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi

* 2018 IEEE International Conference on Big Data (Big Data) 

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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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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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DSSLP: A Distributed Framework for Semi-supervised Link Prediction

Mar 10, 2020
Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou

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