Xiaoliang Fan

Orcid: 0000-0002-6958-6658

Affiliations:
  • Xiamen University, Fujian, China
  • Lanzhou University, Gansu, China (former)


According to our database1, Xiaoliang Fan authored at least 64 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
FedAVE: Adaptive data value evaluation framework for collaborative fairness in federated learning.
Neurocomputing, March, 2024

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting.
IEEE Trans. Knowl. Data Eng., January, 2024

Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling.
IEEE Trans. Mob. Comput., March, 2023

Urban Region Representation Learning with Attentive Fusion.
CoRR, 2023

FLGo: A Fully Customizable Federated Learning Platform.
CoRR, 2023

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging.
Proceedings of the ACM Web Conference 2023, 2023

A Robust Detection and Correction Framework for GNN-Based Vertical Federated Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Fed4ReID: Federated Learning with Data Augmentation for Person Re-identification Service in Edge Computing.
Proceedings of the IEEE International Conference on Web Services, 2023

FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
STPC-Net: Learn Massive Geo-Sensory Data as Spatio-Temporal Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2022

Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation.
IEEE Trans. Intell. Transp. Syst., 2022

FedGS: Federated Graph-based Sampling with Arbitrary Client Availability.
CoRR, 2022

PANDA: predicting road risks after natural disasters leveraging heterogeneous urban data.
CCF Trans. Pervasive Comput. Interact., 2022

2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds.
Appl. Intell., 2022

Defect Identification of Adhesive Structure Based on DCGAN and YOLOv5.
IEEE Access, 2022

iTA: Inferring Traffic Accident Hotspots with Vehicle Trajectories and Road Environment Data.
Proceedings of the IEEE Smartworld, 2022

Multi-Graph Fusion Networks for Urban Region Embedding.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FedRME: Federated Road Markings Extraction from Mobile LiDAR Point Clouds.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021
CASR-TSE: Context-Aware Web Services Recommendation for Modeling Weighted Temporal-Spatial Effectiveness.
IEEE Trans. Serv. Comput., 2021

iTV: Inferring Traffic Violation-Prone Locations With Vehicle Trajectories and Road Environment Data.
IEEE Syst. J., 2021

UVLens: Urban Village Boundary Identification and Population Estimation Leveraging Open Government Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting.
CoRR, 2021

ConTIG: Continuous Representation Learning on Temporal Interaction Graphs.
CoRR, 2021

Tracklet Proposal Network for Multi-Object Tracking on Point Clouds.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Federated Learning with Fair Averaging.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Predicting the spread of COVID-19 in China with human mobility data.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Two-Stage Clustering for Federated Learning with Pseudo Mini-batch SGD Training on Non-IID Data.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020
DeepSTD: Mining Spatio-Temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2020

Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data.
Frontiers Comput. Sci., 2020

iTV: Inferring Traffic Violation-Prone Locations with Vehicle Trajectory and Road Environment Data.
CoRR, 2020

GMAN: A Graph Multi-Attention Network for Traffic Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor.
J. Intell. Transp. Syst., 2019

Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

2018
A Novel Grid SINS/DVL Integrated Navigation Algorithm for Marine Application.
Sensors, 2018

Predicting ICU mortality by supervised bidirectional LSTM networks.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-Domain Urban Big Data.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Sensing Urban Structures and Crowd Dynamics with Mobility Big Data.
Proceedings of the Green, Pervasive, and Cloud Computing - 13th International Conference, 2018

A Deep Learning Approach for Next Location Prediction.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2017
RADAR: Road Obstacle Identification for Disaster Response Leveraging Cross-Domain Urban Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Complementary base station clustering for cost-effective and energy-efficient cloud-RAN.
Proceedings of the 2017 IEEE SmartWorld, 2017

Unlicensed Taxis Detection Service Based on Large-Scale Vehicles Mobility Data.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Prediction of lymphocytosis using machine learning algorithm based on checkup data.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Context-Aware Big Data Analytics and Visualization for City-Wide Traffic Accidents.
Proceedings of the Modeling and Using Context, 2017

2016
Exploring the Effectiveness of True Abnormal Data Elimination in Context-Aware Web Services Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2016

2015
MUS: a novel deadline-constrained scheduling algorithm for Hadoop.
Int. J. Comput. Sci. Eng., 2015

Modeling Temporal Effectiveness for Context-Aware Web Services Recommendation.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Big Data Analytics and Visualization with Spatio-Temporal Correlations for Traffic Accidents.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Accelerating Link Community Detection in Social Networks.
Proceedings of the International Conference on Cloud Computing and Big Data, 2015

Context-Aware Ubiquitous Web Services Recommendation Based on User Location Update.
Proceedings of the International Conference on Cloud Computing and Big Data, 2015

Context-Aware Web Services Recommendation Based on User Preference Expansion.
Proceedings of the Advances in Services Computing, 2015

2014
Temporal Verification for Business Cloud Workflows: Open Research Issues.
Proceedings of the 2014 10th International Conference on Semantics, 2014

Context-Aware Web Services Recommendation Based on User Preference.
Proceedings of the 2014 Asia-Pacific Services Computing Conference, 2014

Contextualized Scientific Workflows in the Cloud.
Proceedings of the Context in Computing, 2014

2013
Investigating the Feasibility of Making Contexts Explicit in Designing Cloud Workflow.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

Designing Contextualized Workflows in the Cloud.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2013

The Design of a Workflow Recommendation System for Workflow as a Service in the Cloud.
Proceedings of the Business Process Management Workshops, 2013

2011
Contextualizing scientific workflows in cooperative design.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2010
Context-oriented scientific workflow system and its application in virtual screening.
Proceedings of the Bridging the Socio-technical Gap in Decision Support Systems, 2010

2008
Workflow Technology for Drug Discovery.
Proceedings of the Workshops at the Grid and Pervasive Computing Conference, 2008

Applying BPEL to Chemical Research on Grid.
Proceedings of the Third ChinaGrid Annual Conference, ChinaGrid 2008, Dunhuang, Gansu, 2008

A Visual Scientific Workflow Designer for Chemists in Grid Environment.
Proceedings of the Third ChinaGrid Annual Conference, ChinaGrid 2008, Dunhuang, Gansu, 2008

Extending BPEL2.0 for Grid-Based Scientific Workflow Systems.
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008

2007
Extracting Information of Anti-AIDS Inhibitor from the Biological Literature Based on Ontology.
Proceedings of the Frontiers in Algorithmics, First Annual International Workshop, 2007


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