Suivre
Jiangtao Wang
Jiangtao Wang
Associate Professor, Coventry University, United Kingdom
Adresse e-mail validée de coventry.ac.uk - Page d'accueil
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Année
Multi-Task Allocation in Mobile Crowd Sensing with Individual Task Quality Assurance
Jiangtao Wang, Yasha Wang, Daqing Zhang, Feng Wang, Haoyi Xiong,Chao Chen ...
IEEE Transactions on Mobile Computing 17 (9), 2101-2113, 2018
1552018
Task Allocation in Mobile Crowd Sensing: State of the Art and Future Opportunities
Jiangtao Wang, Leye Wang, Yasha Wang, Daqing Zhang, Linghe Kong
IEEE Internet of Things Journal 5 (5), 3747-3757, 2018
1342018
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
Jiangtao Wang, Feng Wang, Yasha Wang, Leye Wang, zhaopeng Qiu, Daqing Zhang ...
IEEE Transactions on Mobile Computing, 2020
117*2020
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
L Ma, C Zhang, Y Wang, W Ruan, J Wang, W Tang, X Ma, X Gao, J Gao
AAAI 2020, 2020
1092020
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing
Jiangtao Wang, Feng Wang, Yasha Wang, Daqing Zhang, Leye Wang, Zhaopeng Qiu
IEEE Transactions on Mobile Computing 18 (7), 1661 - 1673, 2019
101*2019
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
L Ma, J Gao, Y Wang, C Zhang, J Wang, W Ruan, W Tang, X Gao, X Ma
AAAI 2020, 2020
922020
PSAllocator: Multi-task Allocation for Participatory Sensing with Sensing Capability Constraints
Jiangtao Wang, Yasha Wang, Daqing Zhang, Feng Wang, Yuanduo He, Liantao Ma
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative …, 2017
882017
Fine-grained Multitask Allocation for Participatory Sensing with a Shared Budget
J Wang, Y Wang, D Zhang, L Wang, H Xiong, A Helal, Y He, F Wang
IEEE Internet of Things Journal 3 (6), 1395-1405, 2016
692016
Camp: Co-attention memory networks for diagnosis prediction in healthcare
J Gao, X Wang, Y Wang, Z Yang, J Gao, J Wang, W Tang, X Xie
IEEE International Conference on Data Mining (ICDM 2019) 10361041, 2019
622019
Energy Saving Techniques in Mobile Crowd Sensing: Current State and Future Opportunities
Jiangtao Wang, Yasha Wang, Daqing Zhang, Sumi Helal
IEEE Communications Magazine 56 (5), 164-169, 2018
602018
Learning-Assisted Optimization in Mobile Crowd Sensing: A Survey
Jiangtao Wang, Yasha Wang, Daqing Zhang, Jorge Goncalves, Denzil Ferreira ...
IEEE Transactions on Industrial Informatics 15 (1), 15-22, 2019
43*2019
Real-time and generic queue time estimation based on mobile crowdsensing
Jiangtao Wang, Yasha Wang, Daqing Zhang,Leye Wang,Chao Chen, Jae Woong Lee ...
Frontiers of computer Science 11 (1), 49-60, 2017
422017
Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors
J Wang, F Wang, Y Wang, D Zhang, BY Lim, L Wang
IEEE Transactions on Mobile Computing 18 (9), 1979 - 1991, 2019
402019
MLRDA: A multi-task semi-supervised learning framework for drug-drug interaction prediction
X Chu, Y Lin, Y Wang, L Wang, J Wang, J Gao
Proceedings of the 28th international joint conference on artificial …, 2019
372019
A survey of task allocation: contrastive perspectives from wireless sensor networks and mobile crowdsensing
W Guo, W Zhu, Z Yu, J Wang, B Guo
IEEE Access 7, 78406-78420, 2019
372019
Crowd-Powered Sensing and Actuation in Smart Cities: Current Issues and Future Directions
J Wang, Y Wang, D Zhang, Q Lv, C Chen
IEEE Wireless Communications 26 (2), 86-92, 2019
352019
GRASP: generic framework for health status representation learning based on incorporating knowledge from similar patients
C Zhang, X Gao, L Ma, Y Wang, J Wang, W Tang
Proceedings of the AAAI conference on artificial intelligence 35 (1), 715-723, 2021
322021
Interpretable machine learning for covid-19: An empirical study on severity prediction task
H Wu, W Ruan, J Wang, D Zheng, B Liu, Y Geng, X Chai, J Chen, K Li, ...
IEEE Transactions on Artificial Intelligence 4 (4), 764-777, 2021
302021
M3care: Learning with missing modalities in multimodal healthcare data
C Zhang, X Chu, L Ma, Y Zhu, Y Wang, J Wang, J Zhao
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
282022
Distilling knowledge from publicly available online EMR data to emerging epidemic for prognosis
L Ma, X Ma, J Gao, X Jiao, Z Yu, C Zhang, W Ruan, Y Wang, W Tang, ...
Proceedings of the Web Conference 2021, 3558-3568, 2021
262021
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