| Model pruning enables efficient federated learning on edge devices Y Jiang, S Wang, V Valls, BJ Ko, WH Lee, KK Leung, L Tassiulas IEEE Transactions on Neural Networks and Learning Systems, 2022 | 353 | 2022 |
| Resource allocation in data centers using fast reinforcement learning algorithms Y Jiang, M Kodialam, TV Lakshman, S Mukherjee, L Tassiulas IEEE Transactions on Network and Service Management 18 (4), 4576-4588, 2021 | 16 | 2021 |
| On the bottleneck structure of congestion-controlled networks J Ros-Giralt, A Bohara, S Yellamraju, MH Langston, R Lethin, Y Jiang, ... Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (3 …, 2019 | 14 | 2019 |
| Designing data center networks using bottleneck structures J Ros-Giralt, N Amsel, S Yellamraju, J Ezick, R Lethin, Y Jiang, A Feng, ... Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 319-348, 2021 | 8 | 2021 |
| Diffuser: efficient transformers with multi-hop attention diffusion for long sequences A Feng, I Li, Y Jiang, R Ying Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12772 …, 2023 | 6 | 2023 |
| Fast reinforcement learning algorithms for resource allocation in data centers Y Jiang, M Kodialam, TV Lakshman, S Mukherjee, L Tassiulas 2020 IFIP Networking Conference (Networking), 271-279, 2020 | 5 | 2020 |
| Robust and resource-efficient machine learning aided viewport prediction in virtual reality Y Jiang, K Poularakis, D Kiedanski, S Kompella, L Tassiulas 2022 IEEE International Conference on Big Data (Big Data), 1002-1013, 2022 | 3 | 2022 |
| A quantitative theory of bottleneck structures for data networks J Ros-Giralt, N Amsel, S Yellamraju, J Ezick, R Lethin, Y Jiang, A Feng, ... arXiv preprint arXiv:2210.03534, 2022 | 3 | 2022 |
| On the Bottleneck Structure of Congestion-Controlled Networks J Ros-Giralt, A Bohara, S Yellamraju, H Langston, R Lethin, Y Jiang, ... Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference …, 2020 | 2 | 2020 |
| G2: A network optimization framework for high-precision analysis of bottleneck and flow performance J Ros-Giralt, S Yellamraju, A Bohara, R Lethin, J Li, Y Lin, Y Tan, ... 2019 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), 48-60, 2019 | 2 | 2019 |
| Accelerated Convex Optimization with Stochastic Gradients: Generalizing the Strong-Growth Condition V Valls, S Wang, Y Jiang, L Tassiulas arXiv preprint arXiv:2207.11833, 2022 | 1 | 2022 |
| Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education R Yang, B Yang, S Ouyang, T She, A Feng, Y Jiang, F Lecue, J Lu, I Li arXiv preprint arXiv:2402.14293, 2024 | | 2024 |
| Incremental and decentralized model pruning in federated machine learning WH Lee, C Liu, S Wang, BJ Ko, Y Jiang US Patent 11,842,260, 2023 | | 2023 |
| Algorithm Designs for the Optimization of Resource Allocation in Networked Systems Y Jiang Yale University, 2022 | | 2022 |
| Evaluating Large Language Models on Wikipedia-Style Survey Generation F Gao, H Jiang, R Yang, Q Zeng, J Lu, M Blum, D Liu, T She, Y Jiang, I Li | | |
| Optimized Traffic Engineering Through Bottleneck Structure Identification for High Speed Data Networks J Ros-Giralt, S Yellamraju, A Bohara, J Li, Y Lin, Y Tan, Y Jiang, ... | | |
Leandros TassiulasProfessor of Electrical Engineering, Yale UniversityVerified email at yale.edu
