research
∙
08/18/2023
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
The key to the success of few-shot segmentation (FSS) lies in how to eff...
share
research
∙
05/23/2023
Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach
Mining cohesive subgraphs from a graph is a fundamental problem in graph...
research
∙
04/13/2023
Road Network Representation Learning: A Dual Graph based Approach
Road network is a critical infrastructure powering many applications inc...
research
∙
03/22/2023
Road Extraction with Satellite Images and Partial Road Maps
Road extraction is a process of automatically generating road maps mainl...
research
∙
03/17/2023
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations
Approximate K nearest neighbor (AKNN) search is a fundamental and challe...
research
∙
12/17/2022
Most Probable Densest Subgraphs
Computing the densest subgraph is a primitive graph operation with criti...
research
∙
11/15/2022
On Inferring User Socioeconomic Status with Mobility Records
When users move in a physical space (e.g., an urban space), they would h...
research
∙
11/15/2022
Region Embedding with Intra and Inter-View Contrastive Learning
Unsupervised region representation learning aims to extract dense and ef...
research
∙
11/13/2022
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams
As the popularity of graph data increases, there is a growing need to co...
research
∙
11/12/2022
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
Detecting anomalous trajectories has become an important task in many lo...
research
∙
08/28/2022
Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach
Enumerating maximal k-biplexes (MBPs) of a bipartite graph has been used...
research
∙
05/24/2022
A Survey on Neural Open Information Extraction: Current Status and Future Directions
Open Information Extraction (OpenIE) facilitates domain-independent disc...
research
∙
02/28/2022
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks
As a fundamental component in location-based services, inferring the rel...
research
∙
12/29/2021
Efficient Algorithms for Maximal k-Biplex Enumeration
Mining maximal subgraphs with cohesive structures from a bipartite graph...
research
∙
03/08/2021
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data
Learned indices have been proposed to replace classic index structures l...
research
∙
03/05/2020
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning
Similar trajectory search is a fundamental problem and has been well stu...
research
∙
02/28/2019
Interaction-aware Kalman Neural Networks for Trajectory Prediction
Forecasting the motion of surrounding dynamic obstacles (vehicles, bicyc...
research
∙
12/17/2018
