Jun Zhou

Bandit Samplers for Training Graph Neural Networks

Several sampling algorithms with variance reduction have been proposed f...
06/10/2020 ∙ by Ziqi Liu, et al. ∙ 0 ∙ share

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Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting

Crowd counting is an important vision task, which faces challenges on co...
05/25/2020 ∙ by Mingjie Wang, et al. ∙ 0 ∙ share

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Privacy-Preserving Graph Neural Network for Node Classification

Recently, Graph Neural Network (GNN) has achieved remarkable progresses ...
05/25/2020 ∙ by Jun Zhou, et al. ∙ 0 ∙ share

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Unpack Local Model Interpretation for GBDT

A gradient boosting decision tree (GBDT), which aggregates a collection ...
04/03/2020 ∙ by Wenjing Fang, et al. ∙ 0 ∙ share

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

Ant Credit Pay is a consumer credit service in Ant Financial Service Gro...
04/01/2020 ∙ by Jianbin Lin, et al. ∙ 0 ∙ share

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

Points of interest (POI) recommendation has been drawn much attention re...
03/12/2020 ∙ by Chaochao Chen, et al. ∙ 0 ∙ share

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RNE: A Scalable Network Embedding for Billion-scale Recommendation

Nowadays designing a real recommendation system has been a critical prob...
03/10/2020 ∙ by Jianbin Lin, et al. ∙ 0 ∙ share

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Generating Natural Language Adversarial Examples on a Large Scale with Generative Models

Today text classification models have been widely used. However, these c...
03/10/2020 ∙ by Yankun Ren, et al. ∙ 0 ∙ share

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Practical Privacy Preserving POI Recommendation

Point-of-Interest (POI) recommendation has been extensively studied and ...
03/05/2020 ∙ by Chaochao Chen, et al. ∙ 0 ∙ share

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

The insurance industry has been creating innovative products around the ...
03/05/2020 ∙ by Cen Chen, et al. ∙ 17 ∙ share

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Data-Free Adversarial Perturbations for Practical Black-Box Attack

Neural networks are vulnerable to adversarial examples, which are malici...
03/03/2020 ∙ by ZhaoXin Huan, et al. ∙ 0 ∙ share

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A Semi-supervised Graph Attentive Network for Financial Fraud Detection

With the rapid growth of financial services, fraud detection has been a ...
02/28/2020 ∙ by Daixin Wang, et al. ∙ 0 ∙ share

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Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing

Mobile payment such as Alipay has been widely used in our daily lives. T...
02/27/2020 ∙ by Ziqi Liu, et al. ∙ 0 ∙ share

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Heterogeneous Graph Neural Networks for Malicious Account Detection

We present, GEM, the first heterogeneous graph neural network approach f...
02/27/2020 ∙ by Ziqi Liu, et al. ∙ 0 ∙ share

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Uncovering Insurance Fraud Conspiracy with Network Learning

Fraudulent claim detection is one of the greatest challenges the insuran...
02/27/2020 ∙ by Chen Liang, et al. ∙ 9 ∙ share

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DSSLP: A Distributed Framework for Semi-supervised Link Prediction

Link prediction is widely used in a variety of industrial applications, ...
02/27/2020 ∙ by Dalong Zhang, et al. ∙ 0 ∙ share

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Adapted tree boosting for Transfer Learning

Secure online transaction is an essential task for e-commerce platforms....
02/27/2020 ∙ by Wenjing Fang, et al. ∙ 0 ∙ share

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How Much Can A Retailer Sell? Sales Forecasting on Tmall

Time-series forecasting is an important task in both academic and indust...
02/27/2020 ∙ by Chaochao Chen, et al. ∙ 0 ∙ share

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Deep Residual-Dense Lattice Network for Speech Enhancement

Convolutional neural networks (CNNs) with residual links (ResNets) and c...
02/27/2020 ∙ by Mohammad Nikzad, et al. ∙ 0 ∙ share

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Privacy Preserving PCA for Multiparty Modeling

In this paper, we present a general multiparty model-ing paradigm with P...
02/06/2020 ∙ by Yingting Liu, et al. ∙ 0 ∙ share

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Secure Social Recommendation based on Secret Sharing

Nowadays, privacy preserving machine learning has been drawing much atte...
02/06/2020 ∙ by Chaochao Chen, et al. ∙ 0 ∙ share

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A Time Attention based Fraud Transaction Detection Framework

With online payment platforms being ubiquitous and important, fraud tran...
12/26/2019 ∙ by Longfei Li, et al. ∙ 0 ∙ share

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Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip

The next wave of on-device AI will likely require energy-efficient deep ...
11/25/2019 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection

In this paper, we propose a normal estimation method for unstructured 3D...
10/18/2019 ∙ by Jun Zhou, et al. ∙ 20 ∙ share

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Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

Bayesian deep learning is recently regarded as an intrinsic way to chara...
10/05/2019 ∙ by Bingzhe Wu, et al. ∙ 0 ∙ share

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Pruning from Scratch

Network pruning is an important research field aiming at reducing comput...
09/27/2019 ∙ by Yulong Wang, et al. ∙ 24 ∙ share

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Information collection for fraud detection in P2P financial market

Fintech companies have been facing challenges from fraudulent behavior f...
09/24/2019 ∙ by Hao Wang, et al. ∙ 0 ∙ share

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Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching

State-of-the-art deep learning based stereo matching approaches treat di...
09/09/2019 ∙ by Youmin Zhang, et al. ∙ 3 ∙ share

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

In this paper, we aim to understand the generalization properties of gen...
08/21/2019 ∙ by Bingzhe Wu, et al. ∙ 0 ∙ share

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A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks

Acceleration of convolutional neural network has received increasing att...
06/18/2019 ∙ by Dong Wang, et al. ∙ 0 ∙ share

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TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial

With the explosive growth of e-commerce and the booming of e-payment, de...
06/18/2019 ∙ by Shaosheng Cao, et al. ∙ 0 ∙ share

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Spectral-spatial features for material based object tracking in hyperspectral video

Traditional color images only depict color intensities in red, green and...
12/11/2018 ∙ by Fengchao Xiong, et al. ∙ 12 ∙ share

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Spectral-spatial features for material based object tracking in hyperspectral videos

Traditional color images only depict color intensities in red, green and...
12/11/2018 ∙ by Fengchao Xiong, et al. ∙ 0 ∙ share

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Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter

Target tracking in hyperspectral videos is a new research topic. In this...
10/28/2018 ∙ by Kun Qian, et al. ∙ 0 ∙ share

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Wearable Affective Robot

With the development of the artificial intelligence (AI), the AI applica...
10/25/2018 ∙ by Min Chen, et al. ∙ 0 ∙ share

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Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets

Recently, Convolution Neural Networks (CNNs) obtained huge success in nu...
10/02/2018 ∙ by Mingjie Wang, et al. ∙ 0 ∙ share

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Semi-dense Stereo Matching using Dual CNNs

A robust solution for semi-dense stereo matching is presented. It utiliz...
10/02/2018 ∙ by Wendong Mao, et al. ∙ 6 ∙ share

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Dropout with Tabu Strategy for Regularizing Deep Neural Networks

Dropout has proven to be an effective technique for regularization and p...
08/29/2018 ∙ by Zongjie Ma, et al. ∙ 4 ∙ share

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Review Helpfulness Prediction with Embedding-Gated CNN

Product reviews, in the form of texts dominantly, significantly help con...
08/29/2018 ∙ by Cen Chen, et al. ∙ 0 ∙ share

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Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking

The surfaces of many cultural heritage objects were embellished with var...
05/17/2018 ∙ by Jun Zhou, et al. ∙ 2 ∙ share

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

Internet companies are facing the need of handling large scale machine l...
05/11/2018 ∙ by Ya-Lin Zhang, et al. ∙ 0 ∙ share

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Feature Propagation on Graph: A New Perspective to Graph Representation Learning

We study feature propagation on graph, an inference process involved in ...
04/17/2018 ∙ by Biao Xiang, et al. ∙ 0 ∙ share

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A Boosting Framework of Factorization Machine

Recently, Factorization Machines (FM) has become more and more popular f...
04/17/2018 ∙ by Longfei Li, et al. ∙ 0 ∙ share

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Distributed Collaborative Hashing and Its Applications in Ant Financial

Collaborative filtering, especially latent factor model, has been popula...
04/13/2018 ∙ by Chaochao Chen, et al. ∙ 0 ∙ share

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Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression

While the research on convolutional neural networks (CNNs) is progressin...
03/15/2018 ∙ by Dong Wang, et al. ∙ 0 ∙ share

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Fast Subspace Clustering Based on the Kronecker Product

Subspace clustering is a useful technique for many computer vision appli...
03/15/2018 ∙ by Lei Zhou, et al. ∙ 0 ∙ share

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Time-sensitive Customer Churn Prediction based on PU Learning

With the fast development of Internet companies throughout the world, cu...
02/27/2018 ∙ by Li Wang, et al. ∙ 0 ∙ share

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GeniePath: Graph Neural Networks with Adaptive Receptive Paths

We present, GeniePath, a scalable approach for learning adaptive recepti...
02/03/2018 ∙ by Ziqi Liu, et al. ∙ 0 ∙ share

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Optimal Energy Management Strategies in Wireless Data and Energy Cooperative Communications

This paper presents a new cooperative wireless communication network str...
01/28/2018 ∙ by Jun Zhou, et al. ∙ 0 ∙ share

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Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation

Image segmentation is considered to be one of the critical tasks in hype...
11/13/2017 ∙ by Fahim Irfan Alam, et al. ∙ 0 ∙ share

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Jun Zhou

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