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Profile photoDr. Jiangtao Wang
Lecturer
School of Computing and Communications
Postal address:
InfoLab21, LA1 4WA, Lancaster
Email: jiangtao.wang@lancaster.ac.uk

SUMMARY of research interests (100 words)

I am currently a Lecturer (Assistant Professor) in the School of Computing & Communications, Lancaster University, UK.  My Research interests include Crowdsensing/Crowdsourcing, Pervasive Computing, Internet of Things (IoT), and Healthcare Data Analytics. Please see my Personal Research Homepage for more details.

Multiple Ph.D. studentships available [Deadline: the end of June each year]

Research outputs

What Happens in Peer-Support, Stays in Peer-Support: Software Architecture for Peer-Sourcing in Mental Health

Honary, M., Lee, J., Bull, C., Wang, J. & Helal, S., 22/09/2020, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, p. 644-653 10 p.

Generic and efficient connectivity determination for IoT applications

He, X., Peng, Z., Wang, J. & Yang, G., 12/06/2020, In : IEEE Internet of Things Journal. 7, 6, p. 5291-5301 11 p.

AdaCare: Explainable Clinical Health Status Representation Learning via Scale Adaptive Feature Extraction and Recalibration

Ma, L., Gao, J., Wang, Y., Wang, J., Ruan, W., Zhang, C., Tang, W., Gao, X. & Ma, X., 3/04/2020, The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020. AAAI, p. 825-832 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 1).

ConCarE: Personalized Clinical Feature Embedding via Capturing the Healthcare Context

Ma, L., Zhang, C., Wang, Y., Ruan, W., Wang, J., Tang, W., Ma, X., Gao, X. & Gao, J., 3/04/2020, The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020. AAAI, p. 833-840 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 1).

Estimating urban road gps environment friendliness with bus trajectories: A city-scale approach

Ma, L., Zhang, C., Wang, Y., Peng, G., Chen, C., Zhao, J. & Wang, J., 12/03/2020, In : Sensors. 20, 6, 20 p., 1580.

HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing

Wang, J., Wang, F., Wang, Y., Wang, L., Qiu, Z., Zhang, D., Guo, B. & Lv, Q., 1/03/2020, In : IEEE Transactions on Mobile Computing. 19, 3, p. 598-611 14 p.

Will online digital footprints reveal your relationship status? an empirical study of social applications for sexual-minority men

Wang, J., Ma, J., Wang, Y., Wang, N., Wang, L., Zhang, D., Wang, F. & Lv, Q., 1/03/2020, In : Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 4, 1, 23 p., 29.

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare

Gao, J., Wang, X., Wang, Y., Yang, Z., Gao, J., Wang, J., Tang, W. & Xie, X., 30/01/2020, 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 6 p.

STAR: Spatio-temporal taxonomy-aware tag recommendation for citizen complaints

Gao, J., He, Y., Wang, Y., Wang, X., Wang, J., Peng, G. & Chu, X., 3/11/2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. New York: ACM, p. 1903-1912 10 p.

Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors

Wang, J., Wang, F., Wang, Y., Zhang, D., Lim, B. Y. & Wang, L., 10/09/2019, In : IEEE Transactions on Mobile Computing. 18, 9, p. 1979-1991 13 p.

MLRDA: A multi-task semi-supervised learning framework for drug-drug interaction prediction

Chu, X., Lin, Y., Wang, Y., Wang, L., Wang, J. & Gao, J., 16/08/2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 4518-4524 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing

Wang, J., Wang, F., Wang, Y., Zhang, D., Wang, L. & Qiu, Z., 1/07/2019, In : IEEE Transactions on Mobile Computing. 18, 7, p. 1661-1673 13 p.

A Survey of Task Allocation: Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing

Guo, W., Zhu, W., Yu, Z., Wang, J. & Guo, B., 27/06/2019, In : IEEE Access. 7, p. 78406-78420 15 p., 8660441.

Crowd-Assisted Machine Learning: Current Issues and Future Directions

Wang, J., Wang, Y. & Lv, Q., 1/01/2019, In : Computer. 52, 1, p. 46-53 8 p.

Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey

Wang, J., Wang, Y., Zhang, D., Goncalves, J., Ferreira, D., Visuri, A. & Ma, S., 1/01/2019, In : IEEE Transactions on Industrial Informatics. 15, 1, p. 15-22 8 p.

Enabling Human-Centric Smart Cities: Crowdsourcing-Based Practice in China

Wang, J., Zhao, J., Zhang, Y., Peng, X., Li, Y. & Xie, Y., 1/12/2018, In : Computer. 51, 12, p. 42-49 8 p.

Task Allocation in Mobile Crowd Sensing: State-of-the-Art and Future Opportunities

Wang, J., Wang, L., Wang, Y., Zhang, D. & Kong, L., 1/10/2018, In : IEEE Internet of Things Journal. 5, 5, p. 3747-3757 11 p.

Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance

Wang, J., Wang, Y., Zhang, D., Wang, F., Xiong, H., Chen, C., Lv, Q. & Qiu, Z., 1/09/2018, In : IEEE Transactions on Mobile Computing. 17, 9, p. 2101-2113 13 p.

Energy saving Techniques in Mobile Crowd Sensing: Current State and Future Opportunities

Wang, J., Wang, Y., Zhang, D. & Helal, S., 30/05/2018, In : IEEE Communications Magazine. 56, 5, p. 164-169 6 p.

GP-selector: a generic participant selection framework for mobile crowdsourcing systems

Wang, J., Wang, Y., Wang, L. & He, Y., 1/05/2018, In : World Wide Web . 21, 3, p. 759-782 24 p.

CAPFF: A Context-Aware Assistant for Paper Form Filling

Wang, J., Wang, Y. & Wang, Y., 12/2017, In : IEEE Transactions on Human-Machine Systems. 47, 6, p. 903-908 7 p.

PSAllocator: Multi-Task Allocation for Participatory Sensing with Sensing Capability Constraints

Wang, J., Wang, Y., Zhang, D., Wang, F., He, Y. & Ma, L., 25/02/2017, CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. New York: ACM, p. 1139-1151 13 p.

Real-time and generic queue time estimation based on mobile crowdsensing

Wang, J., Wang, Y., Zhang, D., Wang, L., Chen, C., Lee, J. W. & He, Y., 02/2017, In : FRONTIERS OF COMPUTER SCIENCE. 11, 1, p. 49-60 12 p.

Fine-Grained Multitask Allocation for Participatory Sensing With a Shared Budget

Wang, J., Wang, Y., Zhang, D., Wang, L., Xiong, H., Helal, A., He, Y. & Wang, F., 1/12/2016, In : IEEE Internet of Things Journal. 3, 6, p. 1395-1405 11 p.

Towards future situation-Awareness: A conceptual middleware framework for opportunistic situation identification

Yang, K., Wang, J., Bao, L., Ding, M., Wang, J. & Wang, Y., 13/11/2016, Q2SWinet 2016 - Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, co-located with MSWiM 2016. New York: Association for Computing Machinery, Inc, p. 95-101 7 p. (Q2SWinet 2016 - Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, co-located with MSWiM 2016).

A Context-Driven Worker Selection Framework for Crowd-Sensing

Wang, J., Wang, Y., Helal, S. & Zhang, D., 1/03/2016, In : International Journal of Distributed Sensor Networks. 12, 3

Lowering the Technical Threshold for Organizers to Create and Deliver Mobile Crowd Sensing Applications

Wang, J., Wang, Y. & He, Y., 1/11/2015, In : International Journal of Distributed Sensor Networks. 11, 11, 15 p.

A Situation-Aware and Interactive System for Assisting People Fill out Paper Forms

Wang, J., Wang, Y., Wang, Y. & Zhao, J., 1/07/2015, 2015 IEEE 39th Annual Computer Software and Applications Conference. IEEE, p. 595-600 6 p.

Helping Campaign Initiators Create Mobile Crowd Sensing Apps: A Supporting Framework

Wang, J., Wang, Y. & Zhao, J., 1/07/2015, 2015 IEEE 39th Annual Computer Software and Applications Conference. IEEE, p. 545-552 8 p.

Citizen Fusion Service Platform for Smart Cities: Architecture, Technologies and Practice

Li, F. & Wang, J., 26/09/2014, Proceedings 2014 IEEE 9th International Conference on Global Software Engineering Workshops, ICGSEW 2014. IEEE Computer Society Press, p. 51-56 6 p. 6912086. (Proceedings - International Computer Software and Applications Conference; vol. 18-21-August-2014).

PSAFactory: An End-User Programming Tool for Building Participatory Sensing Applications

Wang, J., Wang, Y. & Wang, H., 26/09/2014, Proceedings 2014 IEEE 9th International Conference on Global Software Engineering Workshops, ICGSEW 2014. IEEE Computer Society Press, p. 39-44 6 p. 6912084. (Proceedings - International Computer Software and Applications Conference; vol. 18-21-August-2014).

A Participant Recruitment Framework for Crowdsourcing based Software Requirement Acquisition

Wang, H., Wang, Y. & Wang, J., 08/2014, 2014 IEEE 9th International Conference on Global Software Engineering. IEEE, p. 65-73 9 p.

OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm

Wang, J., Wang, Y. & He, Y., 2014, International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services: MobiQuitous 2013: Mobile and Ubiquitous Systems: Computing, Networking, and Services. Springer, p. 3-16 14 p.

Situation Inference by Fusion of Opportunistically Available Contexts

Wang, J., Wang, Y., Ren, H. & Zhang, D., 2014, 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. IEEE, p. 10-17 8 p.

How does acquirer's participation influence performance of software projects: A quantitative analysis

Wang, Y., Wang, J., Ma, J. & Xie, B., 1/01/2013, In : Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE. 2013, p. 537-541 5 p.

STERS: A system for service trustworthiness evaluation and recommendation based on the trust network

Wang, Y., Wang, J., Teng, Y. & Zhao, J., 1/01/2013, Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE. January ed. Vol. 2013. p. 322-325 4 p. (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE).

QTime: A Queuing-Time Notification System Based on Participatory Sensing Data

Wang, Y., Wang, J. & Zhang, X., 2013, 2013 IEEE 37th Annual Computer Software and Applications Conference. IEEE, p. 770-777 8 p.