Publications

Book Chapter

  1. M. Tang and V. W.S.Wong, “Deep Reinforcement Learning for Mobile Edge Computing Systems,” Broadband Communications, Computing, and Control for Ubiquitous Intelligence, Edited by L. Cai, B.L. Mark, J. Pan, Springer International Publishing, 2022.

Journal Publications

  1. H. Pan, Y. Zhou, T. -T. Chan, M. Tang, J. Li, and Z. Du, ”Improving Information Freshness via Backbone-Assisted Cooperative Access Points,” IEEE Internet of Things Journal, 2022 (Early Access)

  2. M. Tang and J. Huang, "How to Earn Money in Live Streaming Platforms? A Study of Donation-Based Markets," IEEE/ACM Transactions on Networking, 2021 (Early Access). [Dataset] [Paper]

  3. M. Tang and Vincent W.S. Wong, "Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems," IEEE Transactions on Mobile Computing, 2020 (Early Access). [Code] [Paper]

  4. M. Tang and Vincent W.S. Wong, "Online Bitrate Selection for Viewport Adaptive 360-Degree Video Streaming," IEEE Transactions on Mobile Computing, 2020 (Early Access). [Paper]

  5. M. Tang, L. Gao, and J. Huang, "Communication, Computation, and Caching Resource Sharing for Internet-of-Things," IEEE Communications Magazine, vol. 58, no. 4, pp. 75-80, Apr. 2020. [Paper]

  6. M. Tang, L. Gao, and J. Huang, "Enabling Edge Cooperation in Tactile Internet via 3C Resource Sharing," IEEE Journal on Selected Areas in Communications (JSAC), vol. 36, no. 11, pp. 2444-2454, Nov. 2018. [Paper]

  7. M. Tang, H. Pang, S. Wang, L. Gao, J. Huang, and L. Sun, "Multi-Dimensional Auction Mechanisms for Crowdsourced Mobile Video Streaming," IEEE/ACM Transactions on Networking (ToN), vol. 26, no. 5, pp. 2062-2075, Oct. 2018. [Paper]

  8. L. Gao, M. Tang, H. Pang, J. Huang, and L. Sun, "Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design," IEEE Transactions on Mobile Computing (TMC), vol. 18, no. 2, pp. 376-389, Feb. 2019. [Paper]

  9. M. Tang, L. Gao, H. Pang, J. Huang and L. Sun, "Optimizations and Economics of Crowdsourced Mobile Streaming," IEEE Communications Magazine, vol. 55, no. 4, pp. 21 - 27, Apr. 2017. [Paper]

Conference Publications

  1. L. Jin, M. Tang, M. Zhang, and H. Wang, “Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing,” Proc. AAAI Conference on Artificial Intelligence, 2024 (Accepted).

  2. Y. Lu, M. Zhang, and M. Tang, “Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach,” Proc. IEEE Global Communications Conference (GLOBECOM), 2023.

  3. Y. Yan, X. Tang, C. Huang, and M. Tang, “Price of Stability in Quality-Aware Federated Learning,” Proc. IEEE Global Communications Conference (GLOBECOM), 2023.

  4. C. Meng, M. Tang, M. Setayesh, and V. W.S. Wong, “GNN-based Neighbor Selection and Resource Allocation for Decentralized Federated Learning,” Proc. IEEE Global Communications Conference (GLOBECOM), 2023.

  5. N. Yang, J., M. Zhang, and M. Tang, “Multi-objective Deep Reinforcement Learning for Mobile Edge Computing,” Proc. The International Symposium on Modeling and Optimization in Mobile, Ad Hoc, andWireless (WiOpt), 2023.

  6. M. Tang and V. W.S. Wong, “Tackling System Induced Bias in Federated Learning: Stratification and Convergence Analysis,” Proc. IEEE International Conference on Computer Communications (INFOCOM), May 2023.

  7. M. Tang and V. W.S. Wong, “An Incentive Mechanism for Cross-Silo Federated Learning: A Public Goods Perspective,” Proc. IEEE International Conference on Computer Communications (INFOCOM), 2021 (Accepted). (Acceptance rate: 19.9%) [Paper]

  8. M. Tang and J. Huang, "How to Earn Money in Live Streaming Platforms?—A Study of Donation-Based Markets," Proc. IEEE International Conference on Computer Communications (INFOCOM), Paris, France, Apr. 2019. (Acceptance Rate: 19.7%) [Paper]

  9. M. Tang, S. Wang, L. Gao, J. Huang and L. Sun, "MOMD: A Multi-Object Multi-Dimensional Auction for Crowdsourced Mobile Video Streaming," Proc. IEEE International Conference on Computer Communications (INFOCOM), Atlanta, GA, May 2017. (Acceptance Rate: 20.9%) [Paper]

  10. M. Tang, L. Gao, and J. Huang, "A General Framework for Crowdsourcing Mobile Communication, Computation, and Caching," Proc. IEEE Global Communications Conference (GLOBECOM), Singapore, Singapore, Dec. 2017. [Paper]

  11. M. Tang, L. Gao, H. Pang, J. Huang and L. Sun, "A Multi-Dimensional Auction Mechanism for Mobile Crowdsourced Video Streaming," Proc. The International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless (WiOpt), Tempe, AZ, May, 2016. [Paper]

  12. L. Gao, M. Tang, H. Pang, J. Huang, and L. Sun, "Performance Bound Analysis for Crowdsourced Mobile Video Streaming," Proc. Conference on Information Systems and Sciences (CISS), Princeton, NJ, Mar. 2016. [Paper]

  13. H. Pang, P. Wang, L. Gao, M. Tang, J. Huang and L. Sun, "Crowdsourced Mobility Prediction Based on Spatio-Temporal Contexts," Proc. IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016. [Paper]