Paper Publications

[16] 2. Y. Mu and N. Freris, “Energy-aware online task dispatching and scheduling for edge systems with energy harvesting.” Accepted at the 13th IEEE International Conference on Network of the Future (NoF), Oct. 2022.
[17] 3. X. Wang, B. Tan, Y. Guo, T. Yang, D. Huang, L. Xu, N. Freris, H. Zhou, and X. Li, “CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation.” Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 4070–4078, Aug. 2022.
[18] 4. Y. Gong, Y. Li, and N. Freris, “FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity.” Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE), pp. 2575-2587, May 2022.
[19] 5. T. Wen, Y. Zhang, and N. Freris, “PF-MOT: Probability Fusion Based 3D Multi-Object Tracking for Autonomous Vehicles.” Proceedings of the 39th International Conference on Robotics and Applications (ICRA), pp. 700-706, May 2022.
[20] 6. Y. Li, P. Voulgaris, and N. Freris, “A communication efficient quasi-Newton method for large-scale distributed multi-agent optimization.” Proceedings of the 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4268-4272, May 2022.
[21] 7. X. Yu, X. Li, J. Zhao, G. Shen, N. Freris, and L. Zhang, “ANTIGONE: Accurate Navigation Path Caching in Dynamic Road Networks leveraging Route APIs.” Proceedings of the 41st IEEE International Conference on Computer Communications (INFOCOM), pp. 1599-1608, May 2022.
[22] 8. Y. Li, N. Freris, P. Voulgaris, and D. Stipanovic, “DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization.” Proceedings of the 60th IEEE Conference on Decision and Control (CDC), pp. 3343-3348, Dec. 2021.
[23] 9. Y. Li, Y. Gong, N. Freris, P. Voulgaris, and D. Stipanovic, “BFGS-ADMM for Large-Scale Distributed Optimization.” Proceedings of the 60th IEEE Conference on Decision and Control (CDC), pp. 1689-1694, Dec. 2021.
[24] 10. J. Huang, R. Huang, W. Liu, N. Freris, and H. Ding, “A Novel Sequential Coreset Method for Gradient Descent Algorithms.” Proceedings of the 38th International Conference on Machine Learning (ICML), pp. 4412-4422, July 2021.
[25] 11. X. Wang, H. Zhou, N. Freris, W. Zhou, X. Guo, and X. Li, “CALM: Contactless Accurate Load Monitoring via Modality.” Proceedings of the 18th IEEE International Conference on Sensing, Communication and Networking (SECON), pp. 1-9, July 2021.
[26] 12. X. Wang, H. Zhou, N. Freris, W. Zhou, X. Guo, Z. Liu, Y. Ji, and X. Li, “LCL: Light Contactless Low-delay Load Monitoring via Compressive Attentional Multi-label Learning.” Proceedings of the 29th IEEE / ACM International Symposium on Quality of Service (IWQoS), pp. 1-6, June 2021.
[27] 13. A. Li, L. Zhang, J. Wang, J. Tan, F. Han, Y. Qin, N. Freris, and X. Li, “Efficient Federated-Learning Model Debugging.” Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE), pp. 372-383, April 2021.
[28] 14. K. Zhang, S. Cong, Y. Tang, and N. Freris, “An Efficient Online Estimation Algorithm for Evolving Quantum States.” Proceedings of the 28th European Signal Processing Conference (EUSIPCO), pp. 2249-2253, Jan. 2021.
[29] 15. N. Freris, M. Vlachos, and A. Ajalloeian, “An Interpretable Data Embedding under Uncertain Distance Information.” Proceedings of the 20th IEEE International Conference on Data Mining (ICDM), pp. 1022-1027, Nov. 2020.
[30] 16. C. Zhang, H. Tan, H. Huang, Z. Han, S. Jiang, N. Freris, and X. Li, “Online Dispatching and Scheduling of Jobs with Heterogeneous Utilities in Edge Computing.” Proceedings of the 21st International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), pp. 101-110, Oct. 2020.

total60 2/4

first previous next last Page

ZipCode:
PostalAddress:
OfficePhone:
Email: