research
∙
02/13/2023
LDPTrace: Locally Differentially Private Trajectory Synthesis
Trajectory data has the potential to greatly benefit a wide-range of rea...
share
research
∙
11/23/2022
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
GPS trajectories are the essential foundations for many trajectory-based...
research
∙
07/09/2022
Adaptive Structural Similarity Preserving for Unsupervised Cross Modal Hashing
Cross-modal hashing is an important approach for multimodal data managem...
research
∙
04/26/2022
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method
How to coordinate the communication among intersections effectively in r...
research
∙
04/14/2022
Self-Guided Learning to Denoise for Robust Recommendation
The ubiquity of implicit feedback makes them the default choice to build...
research
∙
04/11/2022
HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
Knowledge graph (KG) plays an increasingly important role to improve the...
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
∙
08/11/2021
LargeEA: Aligning Entities for Large-scale Knowledge Graphs
Entity alignment (EA) aims to find equivalent entities in different know...
research
∙
09/07/2020
Crowding Prediction of In-Situ Metro Passengers Using Smart Card Data
The metro system is playing an increasingly important role in the urban ...
research
∙
07/09/2020
Probabilistic Value Selection for Space Efficient Model
An alternative to current mainstream preprocessing methods is proposed: ...
research
∙
05/01/2020
TRIPDECODER: Study Travel Time Attributes and Route Preferences of Metro Systems from Smart Card Data
In this paper, we target at recovering the exact routes taken by commute...
research
∙
04/26/2020
CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification
Sentiment classification is a fundamental task in content analysis. Alth...
research
∙
04/26/2020
KGClean: An Embedding Powered Knowledge Graph Cleaning Framework
The quality assurance of the knowledge graph is a prerequisite for vario...
research
∙
03/23/2020
Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction
Reorganizing bus frequency to cater for the actual travel demand can sav...
research
∙
02/17/2020
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
Automatic map extraction is of great importance to urban computing and l...
research
∙
02/06/2018
