b'Jun Zhou'

A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs

Combinatorial Optimization (CO) has been a long-standing challenging res...
06/09/2021 ∙ by Runzhong Wang, et al. ∙ 0 ∙ share

read it
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting

With the burst development of neural networks in recent years, the task ...
04/21/2021 ∙ by Jun Zhou, et al. ∙ 5 ∙ share

read it
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching

This paper presents an effective normal estimation method adopting multi...
03/30/2021 ∙ by Jun Zhou, et al. ∙ 5 ∙ share

read it
Cross-Domain Recommendation: Challenges, Progress, and Prospects

To address the long-standing data sparsity problem in recommender system...
03/02/2021 ∙ by Feng Zhu, et al. ∙ 0 ∙ share

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

Crowd counting remains a challenging task because the presence of drasti...
12/18/2020 ∙ by Mingjie Wang, et al. ∙ 0 ∙ share

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

Deep Neural Networks (DNNs) have achieved remarkable progress in various...
12/17/2020 ∙ by Chaochao Chen, et al. ∙ 0 ∙ share

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

In the Click-Through Rate (CTR) prediction scenario, user's sequential b...
12/13/2020 ∙ by Kai Zhang, et al. ∙ 13 ∙ share

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

Deep learning (DL) based hyperspectral images (HSIs) denoising approache...
12/03/2020 ∙ by Fengchao Xiong, et al. ∙ 0 ∙ share

read it
ArSMART: An Improved SMART NoC Design Supporting Arbitrary-Turn Transmission

SMART NoC, which transmits unconflicted flits to distant processing elem...
11/18/2020 ∙ by Hui Chen, et al. ∙ 0 ∙ share

read it
ASFGNN: Automated Separated-Federated Graph Neural Network

Graph Neural Networks (GNNs) have achieved remarkable performance by tak...
11/06/2020 ∙ by Longfei Zheng, et al. ∙ 0 ∙ share

read it
Multi-layer Feature Aggregation for Deep Scene Parsing Models

Scene parsing from images is a fundamental yet challenging problem in vi...
11/04/2020 ∙ by Litao Yu, et al. ∙ 0 ∙ share

read it
Parameter Efficient Deep Neural Networks with Bilinear Projections

Recent research on deep neural networks (DNNs) has primarily focused on ...
11/03/2020 ∙ by Litao Yu, et al. ∙ 0 ∙ share

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

Person Re-IDentification (ReID) aims at re-identifying persons from diff...
09/22/2020 ∙ by Cheng Yan, et al. ∙ 6 ∙ share

read it
PP-OCR: A Practical Ultra Lightweight OCR System

The Optical Character Recognition (OCR) systems have been widely used in...
09/21/2020 ∙ by Yuning Du, et al. ∙ 12 ∙ share

read it
Information Bottleneck Constrained Latent Bidirectional Embedding for Zero-Shot Learning

Zero-shot learning (ZSL) aims to recognize novel classes by transferring...
09/16/2020 ∙ by Yang Liu, et al. ∙ 12 ∙ share

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

In this paper, we focus on estimating the 6D pose of objects in point cl...
09/15/2020 ∙ by Yuanpeng Liu, et al. ∙ 4 ∙ share

read it
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning

Transfer learning is widely used for transferring knowledge from a sourc...
09/04/2020 ∙ by Cen Chen, et al. ∙ 0 ∙ share

read it
Self-supervised Smoothing Graph Neural Networks

This paper studies learning node representations with GNNs for unsupervi...
09/02/2020 ∙ by Lu Yu, et al. ∙ 16 ∙ share

read it
Heterogeneous Graph Neural Network for Recommendation

The prosperous development of e-commerce has spawned diverse recommendat...
09/02/2020 ∙ by Jinghan Shi, et al. ∙ 0 ∙ share

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Pruning from Scratch

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

read it
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

read it
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

read it
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

read it
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

read it
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

read it

Jun Zhou

Featured Co-authors