Följ
TING LI
TING LI
Assistant Professor in Computer Science, Oxford College of Emory University
Verifierad e-postadress på emory.edu
Titel
Citeras av
Citeras av
År
Dynamic participant recruitment of mobile crowd sensing for heterogeneous sensing tasks
H Li, T Li, Y Wang
2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems …, 2015
1242015
Recent advances in indoor localization via visible lights: A survey
ABMM Rahman, T Li, Y Wang
Sensors 20 (5), 1382, 2020
1072020
Dynamic participant selection for large-scale mobile crowd sensing
H Li, T Li, W Wang, Y Wang
IEEE Transactions on Mobile Computing 18 (12), 2842-2855, 2018
662018
A context-aware multiarmed bandit incentive mechanism for mobile crowd sensing systems
Y Wu, F Li, L Ma, Y Xie, T Li, Y Wang
IEEE Internet of Things Journal 6 (5), 7648-7658, 2019
512019
A cooperative-based model for smart-sensing tasks in fog computing
T Li, Y Liu, L Gao, A Liu
IEEE access 5, 21296-21311, 2017
512017
A similarity scenario-based recommendation model with small disturbances for unknown items in social networks
T Li, A Liu, C Huang
IEEE Access 4, 9251-9272, 2016
472016
Scalable privacy-preserving participant selection for mobile crowdsensing systems: Participant grouping and secure group bidding
T Li, T Jung, Z Qiu, H Li, L Cao, Y Wang
IEEE Transactions on Network Science and Engineering 7 (2), 855-868, 2018
452018
DDSV: Optimizing delay and delivery ratio for multimedia big data collection in mobile sensing vehicles
T Li, S Tian, A Liu, H Liu, T Pei
IEEE Internet of Things Journal 5 (5), 3474-3486, 2018
422018
Scalable privacy-preserving participant selection in mobile crowd sensing
T Li, T Jung, H Li, L Cao, W Wang, XY Li, Y Wang
2017 IEEE International Conference on Pervasive Computing and Communications …, 2017
422017
Participant selection for data collection through device-to-device communications in mobile sensing
Y Wang, H Li, T Li
Personal and Ubiquitous Computing 21, 31-41, 2017
352017
An incentive mechanism design for mobile crowdsensing with demand uncertainties
Y Zhan, Y Xia, J Zhang, T Li, Y Wang
Information Sciences 528, 1-16, 2020
332020
Privacy-preserving protocol for sink node location in telemedicine networks
T Li, Y Liu, NN Xiong, A Liu, Z Cai, H Song
IEEE Access 6, 42886-42903, 2018
312018
Enhancing participant selection through caching in mobile crowd sensing
H Li, T Li, F Li, W Wang, Y Wang
2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS), 1-10, 2016
282016
On selecting vehicles as recommenders for vehicular social networks
T Li, M Zhao, A Liu, C Huang
IEEE Access 5, 5539-5555, 2017
262017
Reliable code disseminations through opportunistic communication in vehicular wireless networks
T Li, NN Xiong, J Gao, H Song, A Liu, C Zhiping
IEEE access 6, 55509-55527, 2018
232018
Privacy-preserving participant grouping for mobile social sensing over edge clouds
T Li, Z Qiu, L Cao, D Cheng, W Wang, X Shi, Y Wang
IEEE Transactions on Network Science and Engineering 8 (2), 865-880, 2020
142020
Energy efficient social routing framework for mobile social sensing networks
F Li, C Tian, T Li, Y Wang
Tsinghua Science and Technology 21 (4), 363-373, 2016
142016
Cumulative Participant Selection with Switch Costs in Large-Scale Mobile Crowd Sensing
H Li, T Li, F Li, Y Wu, Y Wang
27th IEEE International Conference on Computer Communications and Networks, 2018
122018
Fair incentive mechanism with imperfect quality in privacy-preserving crowdsensing
Y Li, F Li, L Zhu, H Chen, T Li, Y Wang
IEEE Internet of Things Journal 9 (19), 19188-19200, 2022
112022
Multi-Expertise Aware Participant Selection in Mobile Crowd Sensing via Online Learning
H Li, T Li, F Li, S Yang, Y Wang
Proceedings of 15th IEEE International Conference on Mobile Ad Hoc and …, 2018
112018
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Artiklar 1–20