research
∙
02/12/2023
Neural Node Matching for Multi-Target Cross Domain Recommendation
Multi-Target Cross Domain Recommendation(CDR) has attracted a surge of i...
share
research
∙
12/07/2022
Node-oriented Spectral Filtering for Graph Neural Networks
Graph neural networks (GNNs) have shown remarkable performance on homoph...
research
∙
11/30/2022
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation
In recent years, semi-supervised graph learning with data augmentation (...
research
∙
11/15/2022
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction
Risk prediction, as a typical time series modeling problem, is usually a...
research
∙
09/19/2022
In progress
The concept of causality plays an important role in human cognition . In...
research
∙
07/19/2021
CETransformer: Casual Effect Estimation via Transformer Based Representation Learning
Treatment effect estimation, which refers to the estimation of causal ef...
research
∙
03/12/2021
Adversarial Graph Disentanglement
A real-world graph has a complex topology structure, which is often form...
research
∙
10/02/2020
Taking Modality-free Human Identification as Zero-shot Learning
Human identification is an important topic in event detection, person tr...
research
∙
02/10/2020
From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition
In zero-shot learning (ZSL), the samples to be classified are usually pr...
research
∙
12/12/2019
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene
Due to the deteriorated conditions of lack and uneven lighting, nightti...
research
∙
12/04/2019
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Graph representation learning aims to encode all nodes of a graph into l...
research
∙
10/24/2019
ProLFA: Representative Prototype Selection for Local Feature Aggregation
Given a set of hand-crafted local features, acquiring a global represent...
research
∙
10/24/2019
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries
Zero-shot learning (ZSL) has received extensive attention recently espec...
research
∙
10/24/2019
Hierarchical Prototype Learning for Zero-Shot Recognition
Zero-Shot Learning (ZSL) has received extensive attention and successes ...
research
∙
10/22/2019
Convolutional Prototype Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) has received increasing attention in recent yea...
research
∙
07/11/2019
Edge Heuristic GAN for Non-uniform Blind Deblurring
Non-uniform blur, mainly caused by camera shake and motions of multiple ...
research
∙
11/09/2018
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
Time series prediction with deep learning methods, especially long short...
research
∙
08/02/2015
Indexing of CNN Features for Large Scale Image Search
Convolutional neural network (CNN) features which represent images with ...
research
∙
06/22/2015
Modality-dependent Cross-media Retrieval
In this paper, we investigate the cross-media retrieval between images a...
research
∙
04/09/2013
