research
∙
09/06/2023
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge ...
share
research
∙
08/13/2023
TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image Super-Resolution
The goal of scene text image super-resolution is to reconstruct high-res...
research
∙
08/02/2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
The Class Incremental Semantic Segmentation (CISS) extends the tradition...
research
∙
08/02/2023
MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching
Entity Matching (EM), which aims to identify all entity pairs referring ...
research
∙
07/15/2023
HyperGo: Probability-based Directed Hybrid Fuzzing
Directed grey-box fuzzing (DGF) is a target-guided fuzzing intended for ...
research
∙
04/25/2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Temporal knowledge graph (TKG) reasoning aims to predict the future miss...
research
∙
03/23/2023
Modeling Entities as Semantic Points for Visual Information Extraction in the Wild
Recently, Visual Information Extraction (VIE) has been becoming increasi...
research
∙
01/27/2023
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation
Non-autoregressive translation (NAT) model achieves a much faster infere...
research
∙
12/27/2022
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents
Feature transformation for AI is an essential task to boost the effectiv...
research
∙
12/27/2022
Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference F-type test
The problem of testing the equality of mean vectors for high-dimensional...
research
∙
12/25/2022
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations
Urban traffic speed prediction aims to estimate the future traffic speed...
research
∙
12/20/2022
Multiple Testing in Genome-Wide Association Studies via Hierarchical Hidden Markov Models
The problems of large-scale multiple testing are often encountered in mo...
research
∙
12/18/2022
SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers
In this paper, we propose to compute Voronoi diagrams over mesh surfaces...
research
∙
09/28/2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph contrastive learning (GCL) has been an emerging solution for graph...
research
∙
09/19/2022
Convergence of the number of period sets in strings
Consider words of length n. The set of all periods of a word of length n...
research
∙
07/11/2022
PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching
Entity Matching (EM), which aims to identify whether two entity records ...
research
∙
07/07/2022
Style Interleaved Learning for Generalizable Person Re-identification
Domain generalization (DG) for person re-identification (ReID) is a chal...
research
∙
05/20/2022
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
Entity alignment (EA) aims at finding equivalent entities in different k...
research
∙
01/01/2022
Quality-aware Part Models for Occluded Person Re-identification
Occlusion poses a major challenge for person re-identification (ReID). E...
research
∙
09/29/2021
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy
In this paper, we propose a single-agent Monte Carlo based reinforced fe...
research
∙
09/09/2021
Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point Clouds
Surface reconstruction from noisy, non-uniform, and unoriented point clo...
research
∙
08/22/2021
Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification
Unsupervised Domain Adaptive (UDA) object re-identification (Re-ID) aims...
research
∙
08/18/2021
CollaborER: A Self-supervised Entity Resolution Framework Using Multi-features Collaboration
Entity Resolution (ER) aims to identify whether two tuples refer to the ...
research
∙
04/12/2021
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
The reading of arbitrarily-shaped text has received increasing research ...
research
∙
11/03/2020
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
In recent years, there are a large number of recommendation algorithms p...
research
∙
10/09/2020
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
Top-N item recommendation has been a widely studied task from implicit f...
research
∙
09/21/2020
Batch Coherence-Driven Network for Part-aware Person Re-Identification
Existing part-aware person re-identification methods typically employ tw...
research
∙
09/14/2020
UniFuzz: Optimizing Distributed Fuzzing via Dynamic Centralized Task Scheduling
Fuzzing is one of the most efficient technology for vulnerability detect...
research
∙
08/23/2020
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
While Graph Neural Network (GNN) has shown superiority in learning node ...
research
∙
07/30/2020
Stable Learning via Causality-based Feature Rectification
How to learn a stable model under agnostic distribution shift between tr...
research
∙
05/25/2020
SoK: The Progress, Challenges, and Perspectives of Directed Greybox Fuzzing
Greybox fuzzing has been the most scalable and practical approach to sof...
research
∙
03/18/2020
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification
Part-level representations are important for robust person re-identifica...
research
∙
10/04/2019
An Accurate Edge-based FEM for Electromagnetic Analysis with Its Applications to Multiscale Structures
This paper introduces an accurate edge-based smoothed finite element met...
research
∙
08/15/2019
A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning
Detecting scene text of arbitrary shapes has been a challenging task ove...
research
∙
01/27/2019
HetMEC: Latency-optimal Task Assignment and Resource Allocation for Heterogeneous Mobile Edge Computing
Driven by great demands on low-latency services of the edge devices (EDs...
research
∙
12/13/2018
Dynamic Feature Generation Network for Answer Selection
Extracting appropriate features to represent a corpus is an important ta...
research
∙
09/11/2018
A Two-Stage Method for Skin Lesion Analysis
This report summarises our method and validation results for the ISIC Ch...
research
∙
04/03/2018
Left-Right Comparative Recurrent Model for Stereo Matching
Leveraging the disparity information from both left and right views is c...
research
∙
03/17/2018
