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Yuang Jiang
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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 34 (12), 10374-10386, 2022
4122022
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
162021
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
152019
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
92021
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
82023
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
52020
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
32022
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
32022
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
22020
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
22019
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
12022
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education
R Yang, B Yang, S Ouyang, T She, A Feng, Y Jiang, F Lecue, J Lu, I Li
arXiv preprint arXiv:2407.10794, 2024
2024
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, ...
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