Jiangtao Wang

Orcid: 0000-0002-8704-502X

Affiliations:
  • Coventry University, Center for Intelligent Healthcare, Coventry, UK


According to our database1, Jiangtao Wang authored at least 94 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting.
Neural Networks, 2025

2024
Recruitment From Social Networks for the Cold Start Problem in Mobile Crowdsourcing.
IEEE Internet Things J., October, 2024

Toward Population Health Intelligence: When Artificial Intelligence Meets Population Health Research.
Computer, June, 2024

Deep Compressed Sensing based Data Imputation for Urban Environmental Monitoring.
ACM Trans. Sens. Networks, January, 2024

Incentivizing Proportional Fairness for Multi-Task Allocation in Crowdsensing.
IEEE Trans. Serv. Comput., 2024

Cross-Edge Orchestration of Serverless Functions With Probabilistic Caching.
IEEE Trans. Serv. Comput., 2024

Efficient Group Collaboration for Sensing Time Redundancy Optimization in Mobile Crowdsensing.
IEEE Internet Things J., 2024

Predict and Interpret Health Risk Using Ehr Through Typical Patients.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
CrowdManager: An Ontology-Based Interaction and Management Middleware for Heterogeneous Mobile Crowd Sensing.
IEEE Trans. Mob. Comput., November, 2023

Quality-Guaranteed and Cost-Effective Population Health Profiling: A Deep Active Learning Approach.
ACM Trans. Comput. Heal., October, 2023

Toward Personalized Federated Learning Via Group Collaboration in IIoT.
IEEE Trans. Ind. Informatics, August, 2023

Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction.
IEEE Trans. Big Data, August, 2023

Human-in-the-loop machine learning with applications for population health.
CCF Trans. Pervasive Comput. Interact., March, 2023

Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method.
ACM Trans. Comput. Heal., January, 2023

Dual-Stream Contrastive Learning for Channel State Information Based Human Activity Recognition.
IEEE J. Biomed. Health Informatics, 2023

Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task.
IEEE Trans. Artif. Intell., 2023

Active crowd sensing.
Pers. Ubiquitous Comput., 2023

PresSafe: Barometer-Based On-Screen Pressure-Assisted Implicit Authentication for Smartphones.
IEEE Internet Things J., 2023

Participant-Quantity-Aware Online Task Allocation in Mobile Crowdsensing.
IEEE Internet Things J., 2023

Exploit the antenna response consistency to define the alignment criteria for CSI data.
CoRR, 2023

Self-Supervised Learning for WiFi CSI-Based Human Activity Recognition: A Systematic Study.
CoRR, 2023

2022
A Green Stackelberg-game Incentive Mechanism for Multi-service Exchange in Mobile Crowdsensing.
ACM Trans. Internet Techn., 2022

RL-Recruiter+: Mobility-Predictability-Aware Participant Selection Learning for From-Scratch Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2022

Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform.
ACM Trans. Intell. Syst. Technol., 2022

MARVAir: Meteorology Augmented Residual-Based Visual Approach for Crowdsourcing Air Quality Inference.
IEEE Trans. Instrum. Meas., 2022

Toward Fairness-Aware Time-Sensitive Asynchronous Federated Learning for Critical Energy Infrastructure.
IEEE Trans. Ind. Informatics, 2022

ISIATasker: Task Allocation for Instant-SensingߝInstant-Actuation Mobile Crowdsensing.
IEEE Internet Things J., 2022

M<sup>3</sup>Care: Learning with Missing Modalities in Multimodal Healthcare Data.
CoRR, 2022

Human-in-the-loop Machine Learning: A Macro-Micro Perspective.
CoRR, 2022

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FedAux: An Efficient Framework for Hybrid Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Competition-Congestion-Aware Stable Worker-Task Matching in Mobile Crowd Sensing.
IEEE Trans. Netw. Serv. Manag., 2021

Memory Augmented Hierarchical Attention Network for Next Point-of-Interest Recommendation.
IEEE Trans. Comput. Soc. Syst., 2021

Profile-Free and Real-Time Task Recommendation in Mobile Crowdsensing.
IEEE Trans. Comput. Soc. Syst., 2021

Task allocation through fuzzy logic based participant density analysis in mobile crowd sensing.
Peer-to-Peer Netw. Appl., 2021

Fine-Grained and Context-Aware Behavioral Biometrics for Pattern Lock on Smartphones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Enabling Cost-Effective Population Health Monitoring By Exploiting Spatiotemporal Correlation: An Empirical Study.
ACM Trans. Comput. Heal., 2021

Crowd-Machine Hybrid Urban Sensing and Computing.
Computer, 2021

Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Does Our Collective Stringency Control the Virus? Investigating Lockdown Effectiveness on Community Mobility Data.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing.
IEEE Trans. Mob. Comput., 2020

Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach.
Sensors, 2020

Understanding and Predicting the Burst of Burnout via Social Media.
Proc. ACM Hum. Comput. Interact., 2020

Generic and Efficient Connectivity Determination for IoT Applications.
IEEE Internet Things J., 2020

Swarm-Intelligence-Based Rendezvous Selection via Edge Computing for Mobile Sensor Networks.
IEEE Internet Things J., 2020

Will Online Digital Footprints Reveal Your Relationship Status?: An Empirical Study of Social Applications for Sexual-Minority Men.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Task allocation based on node pair intimacy in wireless sensor networks.
IET Commun., 2020

Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task.
CoRR, 2020

CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis.
CoRR, 2020

Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications, 2020

VLD: Smartphone-assisted Vertical Location Detection for Vehicles in Urban Environments.
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020

What Happens in Peer-Support, Stays in Peer-Support: Software Architecture for Peer-Sourcing in Mental Health.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions.
IEEE Wirel. Commun., 2019

Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing.
IEEE Trans. Mob. Comput., 2019

Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors.
IEEE Trans. Mob. Comput., 2019

Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey.
IEEE Trans. Ind. Informatics, 2019

基于领域偏好的可变时间窗口时序数据主题模式识别算法 (Time Series Motif Discovery Algorithm of Variable Length Based on Domain Preference).
计算机科学, 2019

Crowd-Assisted Machine Learning: Current Issues and Future Directions.
Computer, 2019

A Survey of Task Allocation: Contrastive Perspectives From Wireless Sensor Networks and Mobile Crowdsensing.
IEEE Access, 2019

Assessing Mental Stress Based on Smartphone Sensing Data: An Empirical Study.
Proceedings of the 2019 IEEE SmartWorld, 2019

Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation.
Proceedings of the 2019 IEEE SmartWorld, 2019

Correlating MSM's Mental Health with Usage Behaviors on MSM-Specific Social Applications.
Proceedings of the 2019 IEEE SmartWorld, 2019

MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities.
Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
GP-selector: a generic participant selection framework for mobile crowdsourcing systems.
World Wide Web, 2018

Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance.
IEEE Trans. Mob. Comput., 2018

Task Allocation in Mobile Crowd Sensing: State-of-the-Art and Future Opportunities.
IEEE Internet Things J., 2018

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions.
CoRR, 2018

Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China.
Computer, 2018

Energy Saving Techniques in Mobile Crowd Sensing: Current State and Future Opportunities.
IEEE Commun. Mag., 2018

2017
CAPFF: A Context-Aware Assistant for Paper Form Filling.
IEEE Trans. Hum. Mach. Syst., 2017

Real-time and generic queue time estimation based on mobile crowdsensing.
Frontiers Comput. Sci., 2017

PSAllocator: Multi-Task Allocation for Participatory Sensing with Sensing Capability Constraints.
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016
Fine-Grained Multitask Allocation for Participatory Sensing With a Shared Budget.
IEEE Internet Things J., 2016

A Context-Driven Worker Selection Framework for Crowd-Sensing.
Int. J. Distributed Sens. Networks, 2016

Towards Future Situation-Awareness: A Conceptual Middleware Framework for Opportunistic Situation Identification.
Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2016

2015
Lowering the Technical Threshold for Organizers to Create and Deliver Mobile Crowd Sensing Applications.
Int. J. Distributed Sens. Networks, 2015

WSelector: A Multi-scenario and Multi-view Worker Selection Framework for Crowd-Sensing.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Helping Campaign Initiators Create Mobile Crowd Sensing Apps: A Supporting Framework.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

A Situation-Aware and Interactive System for Assisting People Fill out Paper Forms.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

2014
Situation Inference by Fusion of Opportunistically Available Contexts.
Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014

PSAFactory: An End-User Programming Tool for Building Participatory Sensing Applications.
Proceedings of the IEEE International Conference on Global Software Engineeering Workshops, 2014

A Participant Recruitment Framework for Crowdsourcing Based Software Requirement Acquisition.
Proceedings of the IEEE 9th International Conference on Global Software Engineering, 2014

Citizen Fusion Service Platform for Smart Cities: Architecture, Technologies and Practice.
Proceedings of the IEEE International Conference on Global Software Engineeering Workshops, 2014

2013
STERS: A System for Service Trustworthiness Evaluation and Recommendation based on the Trust Network (S).
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

How Does Acquirer's Participation Influence Performance of Software Projects: A Quantitative Analysis (S).
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013

QTime: A Queuing-Time Notification System Based on Participatory Sensing Data.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013


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