Yuang Jiang

According to our database, Yuang Jiang authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective.

Rui Yang, Boming Yang, Aosong Feng, Sixun Ouyang, Moritz Blum, Tianwei She, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li

CoRR, 2024

SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization.

Akrit Mudvari, Yuang Jiang, Leandros Tassiulas

CoRR, 2024

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education.

Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li

CoRR, 2024

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

Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li

CoRR, 2024

Evaluating Large Language Models on Wikipedia-Style Survey Generation.

Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Tianwei She, Yuang Jiang, Irene Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Model Pruning Enables Efficient Federated Learning on Edge Devices.

Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas

IEEE Trans. Neural Networks Learn. Syst., December, 2023

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

Fan Gao, Hang Jiang, Moritz Blum, Jinghui Lu, Yuang Jiang, Irene Li

CoRR, 2023

Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences.

Aosong Feng, Irene Li, Yuang Jiang, Rex Ying

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Quantitative Theory of Bottleneck Structures for Data Networks.

Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas

CoRR, 2022

Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality.

Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Resource Allocation in Data Centers Using Fast Reinforcement Learning Algorithms.

Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas

IEEE Trans. Netw. Serv. Manag., 2021

Designing data center networks using bottleneck structures.

Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas, Zhenguo Wu, Min Yee Teh, Keren Bergman

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.

Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas

Proceedings of the 2020 IFIP Networking Conference, 2020

2019

On the Bottleneck Structure of Congestion-Controlled Networks.

Jordi Ros-Giralt, Atul Bohara, Sruthi Yellamraju, Matthew Harper Langston, Richard Lethin, Yuang Jiang, Leandros Tassiulas, Josie Li, Yuanlong Tan, Malathi Veeraraghavan

Proc. ACM Meas. Anal. Comput. Syst., 2019

Model Pruning Enables Efficient Federated Learning on Edge Devices.

Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas

CoRR, 2019

G2: A Network Optimization Framework for High-Precision Analysis of Bottleneck and Flow Performance.

Jordi Ros-Giralt, Leandros Tassiulas, Sruthi Yellamraju, Atul Bohara, Richard Lethin, Josie Li, Ying Lin, Yuanlong Tan, Malathi Veeraraghavan, Yuang Jiang

Proceedings of the 2019 IEEE/ACM Innovating the Network for Data-Intensive Science, 2019