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TING LI
TING LI
Assistant Professor in Computer Science, Oxford College of Emory University
Verified email at emory.edu
Title
Cited by
Cited by
Year
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
1022020
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
642018
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 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
492019
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
442018
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
412017
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
312020
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
222018
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
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
Participant Grouping for Privacy Preservation in Mobile Crowdsensing over Hierarchical Edge Clouds
T Li, Z Qiu, L Cao, F Li, Z Guo, X Shi, Y Wang
Proceedings of 37th IEEE International Performance Computing and …, 2018
112018
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