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09/20/2023
Long-tail Augmented Graph Contrastive Learning for Recommendation
Graph Convolutional Networks (GCNs) has demonstrated promising results f...
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08/11/2023
BATINet: Background-Aware Text to Image Synthesis and Manipulation Network
Background-Induced Text2Image (BIT2I) aims to generate foreground conten...
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07/08/2023
A Physics-Informed Low-Shot Learning For sEMG-Based Estimation of Muscle Force and Joint Kinematics
Muscle force and joint kinematics estimation from surface electromyograp...
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06/30/2023
Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving
Differential privacy (DP), as a promising privacy-preserving model, has ...
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06/29/2023
A Fast Fourier Convolutional Deep Neural Network For Accurate and Explainable Discrimination Of Wheat Yellow Rust And Nitrogen Deficiency From Sentinel-2 Time-Series Data
Accurate and timely detection of plant stress is essential for yield pro...
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05/30/2023
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting
With the growing popularity of various mobile devices, user targeting ha...
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04/25/2023
COUPA: An Industrial Recommender System for Online to Offline Service Platforms
Aiming at helping users locally discovery retail services (e.g., enterta...
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04/25/2023
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning
Recently, the growth of service platforms brings great convenience to bo...
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04/09/2023
Adversarially Robust Neural Architecture Search for Graph Neural Networks
Graph Neural Networks (GNNs) obtain tremendous success in modeling relat...
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03/24/2023
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning
Learning-based approaches have achieved impressive performance for auton...
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11/25/2022
Interactive Image Manipulation with Complex Text Instructions
Recently, text-guided image manipulation has received increasing attenti...
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08/13/2022
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification
Graph neural networks (GNNs) have achieved tremendous success in the tas...
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07/27/2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
E-commerce has gone a long way in empowering merchants through the inter...
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05/17/2022
KGNN: Distributed Framework for Graph Neural Knowledge Representation
Knowledge representation learning has been commonly adopted to incorpora...
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04/23/2022
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Session-based Recommendation (SBR) refers to the task of predicting the ...
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03/03/2022
Neural Graph Matching for Pre-training Graph Neural Networks
Recently, graph neural networks (GNNs) have been shown powerful capacity...
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03/01/2022
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022
Temporal link prediction, as one of the most crucial work in temporal gr...
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01/27/2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Graph Convolutional Networks (GCNs) have recently attracted vast interes...
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12/28/2021
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
In federated learning (FL) problems, client sampling plays a key role in...
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11/03/2021
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation
Knowledge graph is generally incorporated into recommender systems to im...
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10/27/2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Time series forecasting is widely used in business intelligence, e.g., f...
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10/10/2021
Real-time FPGA Design for OMP Targeting 8K Image Reconstruction
During the past decade, implementing reconstruction algorithms on hardwa...
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08/18/2021
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation
Recent studies in recommender systems have managed to achieve significan...
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03/02/2021
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
Ad creatives are one of the prominent mediums for online e-commerce adve...
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02/28/2021
Automated Creative Optimization for E-Commerce Advertising
Advertising creatives are ubiquitous in E-commerce advertisements and ae...
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02/08/2021
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
Creative plays a great important role in e-commerce for exhibiting produ...
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02/03/2021
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign
A lot of online marketing campaigns aim to promote user interaction. The...
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09/02/2020
Heterogeneous Graph Neural Network for Recommendation
The prosperous development of e-commerce has spawned diverse recommendat...
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06/10/2020
Bandit Samplers for Training Graph Neural Networks
Several sampling algorithms with variance reduction have been proposed f...
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05/25/2020
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Recommender system (RS) devotes to predicting user preference to a given...
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04/01/2020
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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02/27/2020
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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02/27/2020
DSSLP: A Distributed Framework for Semi-supervised Link Prediction
Link prediction is widely used in a variety of industrial applications, ...
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11/17/2019
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Real-time semantic segmentation plays a significant role in industry app...
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11/14/2019
Progressive Feature Polishing Network for Salient Object Detection
Feature matters for salient object detection. Existing methods mainly fo...
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03/26/2019
Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder
Diversity plays a vital role in many text generating applications. In re...
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09/05/2018
Semantic Human Matting
Human matting, high quality extraction of humans from natural images, is...
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05/11/2018
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...
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11/20/2017
Cascaded Pyramid Network for Multi-Person Pose Estimation
The topic of multi-person pose estimation has been largely improved rece...
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11/17/2017