Publications

Recent highlights

Journal papers

  1. Secure Mobile Edge Computing in IoT via Collaborative Online Learning

    • B. Li, T. Chen and G. B. Giannakis

    • IEEE Transactions on Signal Processing, to appear, 2019.

  2. Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability

    • T. Chen, S. Barbarossa, X. Wang, G. B. Giannakis and Z.-L. Zhang

    • Proceedings of the IEEE, vol. 107, no. 4, pp. 778-796, April 2019.

  3. Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics

    • Y. Shen, T. Chen and G. B. Giannakis

    • Journal of Machine Learning Research, vol. 20, no. 22, pp. 1-36, February 2019.

  4. Real-time Optimal Energy Management with Reduced Battery Capacity Requirements

    • B. Li, T. Chen, X. Wang and G. B. Giannakis

    • IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 1928-1938, March 2019.

  5. Bandit Convex Optimization for Scalable and Dynamic IoT Management

    • T. Chen and G. B. Giannakis

    • IEEE Internet of Things Journal, vol. 6, no. 1, pp. 1276-1286, February 2019.

  6. Multi-Timescale Online Optimization of Network Function Virtualization for Service Chaining

    • X. Chen, W. Ni, T. Chen, I. Collins, X. Wang and G. B. Giannakis

    • IEEE Transactions on Mobile Computing, to appear 2019.

  7. Heterogeneous Online Learning for "Thing-Adaptive'' Fog Computing in IoT

    • T. Chen, Q. Ling, Y. Shen and G. B. Giannakis

    • IEEE Internet of Things Journal, vol. 5 , no. 6 , pp. 4328 - 4341, December 2018.

  8. Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation

    • T. Chen, Q. Ling and G. B. Giannakis

    • IEEE Transactions on Control of Network Systems, vol. 5, no. 4, pp. 1941-1951, December 2018.

  9. Two-Scale Stochastic Control for Multipoint Communication Systems with Renewables

    • X. Wang, X. Chen, T. Chen, L. Huang and G. B. Giannakis

    • IEEE Transactions on Smart Grid, vol. 9, no. 3, pp. 1822 - 1834, May. 2018.

  10. An Online Convex Optimization Approach to Proactive Network Resource Allocation

    • T. Chen, Q. Ling and G. B. Giannakis

    • IEEE Transactions on Signal Processing, vol. 65, no. 24, pp. 6350-6364, Dec. 2017.

  11. Real-time Energy Trading and Future Planning for Fifth-Generation Wireless Communications

    • X. Chen, W. Ni, T. Chen, I. Collins, X. Wang and G. B. Giannakis

    • IEEE Wireless Communications Magazine, vol.24, no. 4, pp. 24-30, Aug. 2017.

  12. Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation

    • T. Chen, A. Mokhtari, X. Wang, A. Ribeiro and G. B. Giannakis

    • IEEE Transactions on Signal Processing, vol. 65, no. 12, pp. 3078-3093, Jun. 2017.

  13. DGLB: Distributed Stochastic Geographical Load Balancing over cloud networks

    • T. Chen, A. Marques and G. B. Giannakis

    • IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 7, pp. 1866-1880, July 2017.

  14. Dynamic Resource Allocation for Smart-Grid Powered MIMO Downlink Transmissions

    • X. Wang, T. Chen, X. Chen, X. Zhou and G. B. Giannakis

    • IEEE Journal on Selected Areas in Communications, Vol. 34, No. 12, pp. 3354 - 3365, Dec. 2016.

  15. Dynamic Energy Management for Smart-Grid Dynamic Energy Management for Smart-Grid-Powered Coordinated Multipoint Systems

    • X. Wang, Y. Zhang, T. Chen and G. B. Giannakis

    • IEEE Journal on Selected Areas in Communications, vol. 65, no. 12, pp. 3078-3093, Jun. 2016.

  16. Robust Workload and Energy Management for Sustainable Data Centers

    • T. Chen, Y. Zhang X. Wang, and G. B. Giannakis

    • IEEE Journal on Selected Areas in Communications, Vol. 34, No. 3, pp. 651-664, Mar. 2016.

  17. Cooling-Aware Energy and Workload Management in Data Centers via Stochastic Optimization

    • T. Chen, X. Wang and G. B. Giannakis

    • IEEE Journal on Special Topics in Signal Processing, Vol. 10, No. 2, pp. 402-415, Mar. 2016.

  18. Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals under Non-Ideal Circuit Power Consumption

    • Z. Nan, T. Chen, X. Wang and W. Ni

    • IEEE Transaction on Vehicular Technology, Vol. 65, No. 8, pp. 6588 - 6600, Aug. 2016.

  19. Optimal Scheduling for Wireless On-Demand Data Packet Delivery to High-Speed Trains

    • T. Chen, H. Shan and X. Wang

    • IEEE Transaction on Vehicular Technology, Vol. 64, No. 9, pp. 4101 - 4112, Sept. 2015.

  20. Optimal MIMO Broadcasting for Energy Harvesting Transmitter with Non-ideal Circuit Power Consumption

    • X. Wang, Z. Nan and T. Chen

    • IEEE Transaction on Wireless Communication, Vol. 14, No. 5, pp. 2500 - 2512, May 2015.

Conference papers

  1. Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients

    • J. Sun*, T. Chen*, G. B. Giannakis, and Z. Yang (*equal contribution)

    • Proc. of Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 8-14, 2019.

  2. Bandit Online Learning with Unknown Delays

    • B. Li, T. Chen, and G. B. Giannakis

    • Proc. of Intl. Conf. on Artificial Intelligence and Statistics (AISTATS), Naha, Japan, April 16-18, 2019.

  3. RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

    • L. Li, W. Xu, T. Chen, G. B. Giannakis, and Q. Ling

    • Proc. of the Assoc. for the Advanc. of Artificial Intelligence (AAAI), Honolulu, Hawai, January 27-February 1, 2019.

  4. LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning

    • T. Chen, G. B. Giannakis, T. Sun and W. Yin

    • Proc. of Neural Information Processing Systems (NeurIPS), Montreal, Canada, December 3-8, 2018. (Spotlight)

  5. Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments

    • Y. Shen*, T. Chen* and G. B. Giannakis

    • Proc. of Intl. Conf. on Artificial Intelligence and Statistics (AISTATS), Lanzarote, Canary Islands, April 9-11, 2018.

  6. Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks

    • T. Chen, N. Li and G. B. Giannakis

    • Proc. of American Control Conference (ACC), Milwaukee, WI, June 27-29, 2018.

  7. Harnessing Bandit Online Learning for Low-Latency Fog Computing in IoT

    • T. Chen and G. B. Giannakis

    • Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, April 15-20, 2018.

  8. Online Learning for `Thing-Adaptive' Fog Computing in IoT

    • T. Chen, Y. Shen, Q. Ling and G. B. Giannakis

    • Proc. of Asilomar Conference, Pacific Grove, CA, Oct. 29 - Nov. 1, 2017. (Best Student Paper Finalist)

  9. A Data-driven Approach to Stochastic Network Optimization

    • T. Chen, A. Mokhtari, X. Wang, A. Ribeiro and G. B. Giannakis

    • Proc. of Globalsip Conference, Washington, DC, Dec. 7-9, 2016. (NSF Student Travel Grant)

  10. Packet Scheduling for On-Demand Data Services to High-Speed Trains over Wireless Links

    • T. Chen, H. Shan, and X. Wang

    • Proc. of IEEE Global Communications Conference (Globecom), Atlanta, GA, Dec. 9-13, 2013. (ComSoc Student Travel Grant)

  11. An Intelligent Medicine Box System in Pervasive Healthcare Applications

    • S. Shen, D. Luo, T. Chen, and X. Zhou

    • Proc. of International Conference on the Internet of Thing (IoT), Wuxi, China, Oct. 24-26, 2012. (Best Demo Award)

Dissertation