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STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting
Crowd counting remains a challenging task because the presence of drasti...
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Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Deep Neural Networks (DNNs) have achieved remarkable progress in various...
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Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
In the Click-Through Rate (CTR) prediction scenario, user's sequential b...
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SMDS-Net: Model Guided Spectral-Spatial 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 Arbitrary-Turn Transmission
SMART NoC, which transmits unconflicted flits to distant processing elem...
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ASFGNN: Automated Separated-Federated Graph Neural Network
Graph Neural Networks (GNNs) have achieved remarkable performance by tak...
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Multi-layer 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 Re-identification with Fine-grained Difference-aware Pairwise Loss
Person Re-IDentification (ReID) aims at re-identifying persons from diff...
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PP-OCR: 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 Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize novel classes by transferring...
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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...
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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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Self-supervised 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 e-commerce 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 Scale-invariant Crowd Counting
Crowd counting is an important vision task, which faces challenges on co...
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Privacy-Preserving 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 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...
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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...
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RNE: A Scalable Network Embedding for Billion-scale 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
Point-of-Interest (POI) recommendation has been extensively studied and ...
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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 ...
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Data-Free Adversarial Perturbations for Practical Black-Box Attack
Neural networks are vulnerable to adversarial examples, which are malici...
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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 ...
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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 Semi-supervised 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 e-commerce platforms....
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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...
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Deep Residual-Dense 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 model-ing 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 partial-sum and spike networks-on-chip
The next wave of on-device AI will likely require energy-efficient deep ...
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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...
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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
State-of-the-art 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 One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks
Acceleration of convolutional neural network has received increasing att...
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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...
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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...
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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...
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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...
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Wearable Affective Robot
With the development of the artificial intelligence (AI), the AI applica...
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