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 | 385 | 2020 |
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 | 128 | 2021 |
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 | 47 | 2018 |
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 | 35 | 2020 |
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 | 30 | 2017 |
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 | 30 | 2017 |
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 | 26 | 2018 |
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 | 18 | 2018 |
Online bitrate selection for viewport adaptive 360-degree video streaming M Tang, VWS Wong IEEE Transactions on Mobile Computing 21 (7), 2506-2517, 2020 | 17 | 2020 |
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 | 17 | 2016 |
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 | 16 | 2016 |
Promoting collaborations in cross-silo federated learning: Challenges and opportunities C Huang, M Tang, Q Ma, J Huang, X Liu IEEE Communications Magazine, 2023 | 14 | 2023 |
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 | 13 | 2017 |
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 | 13 | 2016 |
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 | 8 | 2023 |
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 | 8 | 2021 |
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 | 5 | 2024 |
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 | 5 | 2023 |
PraFFL: A preference-aware scheme in fair federated learning R Ye, WB Kou, M Tang arXiv preprint arXiv:2404.08973, 2024 | 4 | 2024 |
How to earn money in live streaming platforms?—A study of donation-based markets M Tang, J Huang IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 1558-1566, 2019 | 4 | 2019 |