Segui
Ming Tang
Ming Tang
Southern University of Science and Technology
Email verificata su sustech.edu.cn - Home page
Titolo
Citata da
Citata da
Anno
Deep reinforcement learning for task offloading in mobile edge computing systems
M Tang, VWS Wong
IEEE Transactions on Mobile Computing 21 (6), 1985-1997, 2020
4152020
An incentive mechanism for cross-silo federated learning: A public goods perspective
M Tang, VWS Wong
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
1362021
Enabling edge cooperation in tactile internet via 3C resource sharing
M Tang, L Gao, J Huang
IEEE Journal on Selected Areas in Communications 36 (11), 2444-2454, 2018
482018
Communication, computation, and caching resource sharing for the internet of things
M Tang, L Gao, J Huang
IEEE Communications Magazine 58 (4), 75-80, 2020
372020
MOMD: A multi-object multi-dimensional auction for crowdsourced mobile video streaming
M Tang, S Wang, L Gao, J Huang, L Sun
IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017
302017
Optimizations and economics of crowdsourced mobile streaming
M Tang, L Gao, H Pang, J Huang, L Sun
IEEE Communications Magazine 55 (4), 21-27, 2017
302017
Multi-dimensional auction mechanisms for crowdsourced mobile video streaming
M Tang, H Pang, S Wang, L Gao, J Huang, L Sun
IEEE/ACM Transactions on Networking 26 (5), 2062-2075, 2018
262018
Online bitrate selection for viewport adaptive 360-degree video streaming
M Tang, VWS Wong
IEEE Transactions on Mobile Computing 21 (7), 2506-2517, 2020
182020
Multi-user cooperative mobile video streaming: Performance analysis and online mechanism design
L Gao, M Tang, H Pang, J Huang, L Sun
IEEE Transactions on Mobile Computing 18 (2), 376-389, 2018
182018
Crowdsourced mobility prediction based on spatio-temporal contexts
H Pang, P Wang, L Gao, M Tang, J Huang, L Sun
2016 IEEE International Conference on Communications (ICC), 1-6, 2016
172016
Promoting collaborations in cross-silo federated learning: Challenges and opportunities
C Huang, M Tang, Q Ma, J Huang, X Liu
IEEE Communications Magazine, 2023
162023
A multi-dimensional auction mechanism for mobile crowdsourced video streaming
M Tang, L Gao, H Pang, J Huang, L Sun
2016 14th International Symposium on Modeling and Optimization in Mobile, Ad …, 2016
162016
A general framework for crowdsourcing mobile communication, computation, and caching
M Tang, L Gao, J Huang
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
132017
Performance bound analysis for crowdsourced mobile video streaming
L Gao, M Tang, H Pang, J Huang, L Sun
2016 Annual Conference on Information Science and Systems (CISS), 366-371, 2016
132016
Tackling system induced bias in federated learning: Stratification and convergence analysis
M Tang, VWS Wong
IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023
82023
How do you earn money on live streaming platforms?—A study of donation-based markets
M Tang, J Huang
IEEE/ACM Transactions on Networking 29 (4), 1813-1826, 2021
82021
pfedlvm: A large vision model (lvm)-driven and latent feature-based personalized federated learning framework in autonomous driving
WB Kou, Q Lin, M Tang, S Xu, R Ye, Y Leng, S Wang, G Li, Z Chen, G Zhu, ...
arXiv preprint arXiv:2405.04146, 2024
62024
Multi-objective deep reinforcement learning for mobile edge computing
N Yang, J Wen, M Zhang, M Tang
2023 21st international symposium on modeling and optimization in mobile, ad …, 2023
52023
When minibatch sgd meets splitfed learning: Convergence analysis and performance evaluation
C Huang, G Tian, M Tang
arXiv preprint arXiv:2308.11953, 2023
52023
Fedrc: A rapid-converged hierarchical federated learning framework in street scene semantic understanding
WB Kou, Q Lin, M Tang, S Wang, G Zhu, YC Wu
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024
42024
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