research
∙
10/14/2021
Relation-aware Heterogeneous Graph for User Profiling
User profiling has long been an important problem that investigates user...
share
research
∙
10/12/2021
Deviance Matrix Factorization
We investigate a general matrix factorization for deviance-based losses,...
research
∙
09/23/2021
Learning-Based Path Planning for Long-Range Autonomous Valet Parking
In this paper, to reduce the congestion rate at the city center and incr...
research
∙
09/21/2021
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks
Predicting metrics associated with entities' transnational behavior with...
research
∙
09/01/2021
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast
In this paper, we propose to align sentence representations from differe...
research
∙
08/16/2021
Deep Contrastive Learning for Multi-View Network Embedding
Multi-view network embedding aims at projecting nodes in the network to ...
research
∙
08/14/2021
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
As a challenging task of high-level video understanding, weakly supervis...
research
∙
08/10/2021
Fully Hyperbolic Graph Convolution Network for Recommendation
Recently, Graph Convolution Network (GCN) based methods have achieved ou...
research
∙
08/10/2021
Label-informed Graph Structure Learning for Node Classification
Graph Neural Networks (GNNs) have achieved great success among various d...
research
∙
07/22/2021
Adaptive Dilated Convolution For Human Pose Estimation
Most existing human pose estimation (HPE) methods exploit multi-scale in...
research
∙
07/15/2021
Neighbor-view Enhanced Model for Vision and Language Navigation
Vision and Language Navigation (VLN) requires an agent to navigate to a ...
research
∙
06/29/2021
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
One essential problem in skeleton-based action recognition is how to ext...
research
∙
06/18/2021
Anomaly Detection in Dynamic Graphs via Transformer
Detecting anomalies for dynamic graphs has drawn increasing attention du...
research
∙
06/16/2021
CMF: Cascaded Multi-model Fusion for Referring Image Segmentation
In this work, we address the task of referring image segmentation (RIS),...
research
∙
06/13/2021
Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition
Attention-based encoder-decoder framework is widely used in the scene te...
research
∙
05/25/2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Few-shot learning is a challenging task since only few instances are giv...
research
∙
05/14/2021
End-to-end Alternating Optimization for Blind Super Resolution
Previous methods decompose the blind super-resolution (SR) problem into ...
research
∙
05/12/2021
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution
Most Video Super-Resolution (VSR) methods enhance a video reference fram...
research
∙
04/21/2021
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Space-time video super-resolution (STVSR) aims to increase the spatial a...
research
∙
04/19/2021
Mining Latent Structures for Multimedia Recommendation
Multimedia content is of predominance in the modern Web era. Investigati...
research
∙
04/15/2021
Dynamic Graph Neural Networks for Sequential Recommendation
Modeling users' preference from his historical sequences is one of the c...
research
∙
04/07/2021
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
Graph embedding, aiming to learn low-dimensional representations (aka. e...
research
∙
03/30/2021
Locate then Segment: A Strong Pipeline for Referring Image Segmentation
Referring image segmentation aims to segment the objects referred by a n...
research
∙
03/29/2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification
Generalizable person Re-Identification (ReID) has attracted growing atte...
research
∙
03/29/2021
Graph Classification by Mixture of Diverse Experts
Graph classification is a challenging research problem in many applicati...
research
∙
03/04/2021
Deep Graph Structure Learning for Robust Representations: A Survey
Graph Neural Networks (GNNs) are widely used for analyzing graph-structu...
research
∙
02/22/2021
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
The ad-hoc retrieval task is to rank related documents given a query and...
research
∙
01/28/2021
A Graph-based Relevance Matching Model for Ad-hoc Retrieval
To retrieve more relevant, appropriate and useful documents given a quer...
research
∙
01/20/2021
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
In object detection, bounding box regression (BBR) is a crucial step tha...
research
∙
01/11/2021
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
Click-through rate (CTR) prediction, which aims to predict the probabili...
research
∙
01/08/2021
Dynamic Graph Collaborative Filtering
Dynamic recommendation is essential for modern recommender systems to pr...
research
∙
01/04/2021
Global2Local: Efficient Structure Search for Video Action Segmentation
Temporal receptive fields of models play an important role in action seg...
research
∙
12/13/2020
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations
In this paper, we propose an efficient human pose estimation network (DA...
research
∙
11/25/2020
Towards Playing Full MOBA Games with Deep Reinforcement Learning
MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose gr...
research
∙
11/25/2020
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
We present JueWu-SL, the first supervised-learning-based artificial inte...
research
∙
11/15/2020
Transfer learning of chaotic systems
Can a neural network trained by the time series of system A be used to p...
research
∙
11/13/2020
Heterogeneous Graph Collaborative Filtering
Graph-based collaborative filtering (CF) algorithms have gained increasi...
research
∙
11/10/2020
Guarding Serverless Applications with SecLambda
As an emerging application paradigm, serverless computing attracts atten...
research
∙
11/05/2020
Merchant Category Identification Using Credit Card Transactions
Digital payment volume has proliferated in recent years with the rapid g...
research
∙
11/02/2020
Actor and Action Modular Network for Text-based Video Segmentation
The actor and action semantic segmentation is a challenging problem that...
research
∙
10/30/2020
Deep Active Graph Representation Learning
Graph neural networks (GNNs) aim to learn graph representations that pre...
research
∙
10/27/2020
Graph Contrastive Learning with Adaptive Augmentation
Recently, contrastive learning (CL) has emerged as a successful method f...
research
∙
10/20/2020
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition
One essential problem in skeleton-based action recognition is how to ext...
research
∙
10/06/2020
Unfolding the Alternating Optimization for Blind Super Resolution
Previous methods decompose blind super resolution (SR) problem into two ...
research
∙
09/24/2020
Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems
Automatic math word problem solving has attracted growing attention in r...
research
∙
09/23/2020
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) frame...
research
∙
09/23/2020
Streaming Graph Neural Networks via Continual Learning
Graph neural networks (GNNs) have achieved strong performance in various...
research
∙
09/03/2020
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning
Unsupervised graph representation learning aims to learn low-dimensional...
research
∙
09/03/2020
Tasks Integrated Networks: Joint Detection and Retrieval for Image Search
The traditional object retrieval task aims to learn a discriminative fea...
research
∙
08/17/2020