Yuang Jiang

Orcid: 0000-0001-8263-6085

According to our database1, Yuang Jiang authored at least 12 papers between 2019 and 2024.

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Bibliography

2024
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education.
CoRR, 2024

2023
Model Pruning Enables Efficient Federated Learning on Edge Devices.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts.
CoRR, 2023

Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Quantitative Theory of Bottleneck Structures for Data Networks.
CoRR, 2022

Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Resource Allocation in Data Centers Using Fast Reinforcement Learning Algorithms.
IEEE Trans. Netw. Serv. Manag., 2021

Designing data center networks using bottleneck structures.
Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

2020
Fast Reinforcement Learning Algorithms for Resource Allocation in Data Centers.
Proceedings of the 2020 IFIP Networking Conference, 2020

2019
On the Bottleneck Structure of Congestion-Controlled Networks.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Model Pruning Enables Efficient Federated Learning on Edge Devices.
CoRR, 2019

G2: A Network Optimization Framework for High-Precision Analysis of Bottleneck and Flow Performance.
Proceedings of the 2019 IEEE/ACM Innovating the Network for Data-Intensive Science, 2019


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