
A BiLevel Framework for Learning to Solve Combinatorial Optimization on Graphs
Combinatorial Optimization (CO) has been a longstanding challenging res...
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Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
With the burst development of neural networks in recent years, the task ...
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Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching
This paper presents an effective normal estimation method adopting multi...
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CrossDomain Recommendation: Challenges, Progress, and Prospects
To address the longstanding data sparsity problem in recommender system...
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STNet: Scale Tree Network with Multilevel Auxiliator for Crowd Counting
Crowd counting remains a challenging task because the presence of drasti...
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Towards Scalable and PrivacyPreserving Deep Neural Network via AlgorithmicCryptographic Codesign
Deep Neural Networks (DNNs) have achieved remarkable progress in various...
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MultiInteractive Attention Network for Finegrained Feature Learning in CTR Prediction
In the ClickThrough Rate (CTR) prediction scenario, user's sequential b...
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SMDSNet: Model Guided SpectralSpatial Network for Hyperspectral Image Denoising
Deep learning (DL) based hyperspectral images (HSIs) denoising approache...
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ArSMART: An Improved SMART NoC Design Supporting ArbitraryTurn Transmission
SMART NoC, which transmits unconflicted flits to distant processing elem...
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ASFGNN: Automated SeparatedFederated Graph Neural Network
Graph Neural Networks (GNNs) have achieved remarkable performance by tak...
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Multilayer Feature Aggregation for Deep Scene Parsing Models
Scene parsing from images is a fundamental yet challenging problem in vi...
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Parameter Efficient Deep Neural Networks with Bilinear Projections
Recent research on deep neural networks (DNNs) has primarily focused on ...
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Beyond Triplet Loss: Person Reidentification with Finegrained Differenceaware Pairwise Loss
Person ReIDentification (ReID) aims at reidentifying persons from diff...
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PPOCR: A Practical Ultra Lightweight OCR System
The Optical Character Recognition (OCR) systems have been widely used in...
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Information Bottleneck Constrained Latent Bidirectional Embedding for ZeroShot Learning
Zeroshot learning (ZSL) aims to recognize novel classes by transferring...
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3DPVNet: Patchlevel 3D Hough Voting Network for 6D Pose Estimation
In this paper, we focus on estimating the 6D pose of objects in point cl...
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A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
Transfer learning is widely used for transferring knowledge from a sourc...
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Selfsupervised Smoothing Graph Neural Networks
This paper studies learning node representations with GNNs for unsupervi...
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Heterogeneous Graph Neural Network for Recommendation
The prosperous development of ecommerce has spawned diverse recommendat...
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Bandit Samplers for Training Graph Neural Networks
Several sampling algorithms with variance reduction have been proposed f...
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Interlayer and Intralayer Scale Aggregation for Scaleinvariant Crowd Counting
Crowd counting is an important vision task, which faces challenges on co...
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PrivacyPreserving Graph Neural Network for Node Classification
Recently, Graph Neural Network (GNN) has achieved remarkable progresses ...
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Unpack Local Model Interpretation for GBDT
A gradient boosting decision tree (GBDT), which aggregates a collection ...
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NetDP: An IndustrialScale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay
Ant Credit Pay is a consumer credit service in Ant Financial Service Gro...
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Privacy Preserving Pointofinterest Recommendation Using Decentralized Matrix Factorization
Points of interest (POI) recommendation has been drawn much attention re...
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RNE: A Scalable Network Embedding for Billionscale Recommendation
Nowadays designing a real recommendation system has been a critical prob...
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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...
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Practical Privacy Preserving POI Recommendation
PointofInterest (POI) recommendation has been extensively studied and ...
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InfDetect: a Large Scale Graphbased Fraud Detection System for ECommerce Insurance
The insurance industry has been creating innovative products around the ...
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DataFree Adversarial Perturbations for Practical BlackBox Attack
Neural networks are vulnerable to adversarial examples, which are malici...
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A Semisupervised Graph Attentive Network for Financial Fraud Detection
With the rapid growth of financial services, fraud detection has been a ...
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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...
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Heterogeneous Graph Neural Networks for Malicious Account Detection
We present, GEM, the first heterogeneous graph neural network approach f...
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Uncovering Insurance Fraud Conspiracy with Network Learning
Fraudulent claim detection is one of the greatest challenges the insuran...
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DSSLP: A Distributed Framework for Semisupervised Link Prediction
Link prediction is widely used in a variety of industrial applications, ...
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Adapted tree boosting for Transfer Learning
Secure online transaction is an essential task for ecommerce platforms....
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How Much Can A Retailer Sell? Sales Forecasting on Tmall
Timeseries forecasting is an important task in both academic and indust...
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Deep ResidualDense Lattice Network for Speech Enhancement
Convolutional neural networks (CNNs) with residual links (ResNets) and c...
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Privacy Preserving PCA for Multiparty Modeling
In this paper, we present a general multiparty modeling paradigm with P...
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Secure Social Recommendation based on Secret Sharing
Nowadays, privacy preserving machine learning has been drawing much atte...
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A Time Attention based Fraud Transaction Detection Framework
With online payment platforms being ubiquitous and important, fraud tran...
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Shenjing: A low power reconfigurable neuromorphic accelerator with partialsum and spike networksonchip
The next wave of ondevice AI will likely require energyefficient deep ...
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Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multiscale Selection
In this paper, we propose a normal estimation method for unstructured 3D...
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Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Bayesian deep learning is recently regarded as an intrinsic way to chara...
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Pruning from Scratch
Network pruning is an important research field aiming at reducing comput...
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Information collection for fraud detection in P2P financial market
Fintech companies have been facing challenges from fraudulent behavior f...
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Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Stateoftheart deep learning based stereo matching approaches treat di...
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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...
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A Onestep Pruningrecovery Framework for Acceleration of Convolutional Neural Networks
Acceleration of convolutional neural network has received increasing att...
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TitAnt: Online Realtime Transaction Fraud Detection in Ant Financial
With the explosive growth of ecommerce and the booming of epayment, de...
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