Yuang Jiang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Reinforcement Learning Algorithms

Top Venues

IEEE Trans. Netw. Serv. Manag.

Publications

Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Tianwei She, Yuang Jiang, Irene Li
Evaluating Large Language Models on Wikipedia-Style Survey Generation. ACL (Findings) (2024)
Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education. CoRR (2024)
Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. CoRR (2024)
Fan Gao, Hang Jiang, Moritz Blum, Jinghui Lu, Yuang Jiang, Irene Li
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts. CoRR (2023)
Aosong Feng, Irene Li, Yuang Jiang, Rex Ying
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. AAAI (2023)
Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas
Model Pruning Enables Efficient Federated Learning on Edge Devices. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. Big Data (2022)
Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. CoRR (2022)
Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas
A Quantitative Theory of Bottleneck Structures for Data Networks. CoRR (2022)
Aosong Feng, Irene Li, Yuang Jiang, Rex Ying
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences. CoRR (2022)
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
Designing data center networks using bottleneck structures. SIGCOMM (2021)
Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas
Resource Allocation in Data Centers Using Fast Reinforcement Learning Algorithms. IEEE Trans. Netw. Serv. Manag. 18 (4) (2021)
Jordi Ros-Giralt, Atul Bohara, Sruthi Yellamraju, Harper Langston, Richard Lethin, Yuang Jiang, Leandros Tassiulas, Josie Li, Yuanlong Tan, Malathi Veeraraghavan
On the Bottleneck Structure of Congestion-Controlled Networks. SIGMETRICS (Abstracts) (2020)
Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas
Fast Reinforcement Learning Algorithms for Resource Allocation in Data Centers. Networking (2020)
Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas
Model Pruning Enables Efficient Federated Learning on Edge Devices. CoRR (2019)
Jordi Ros-Giralt, Leandros Tassiulas, Sruthi Yellamraju, Atul Bohara, Richard Lethin, Josie Li, Ying Lin, Yuanlong Tan, Malathi Veeraraghavan, Yuang Jiang
G2: A Network Optimization Framework for High-Precision Analysis of Bottleneck and Flow Performance. INDIS@SC (2019)
Jordi Ros-Giralt, Atul Bohara, Sruthi Yellamraju, Matthew Harper Langston, Richard Lethin, Yuang Jiang, Leandros Tassiulas, Josie Li, Yuanlong Tan, Malathi Veeraraghavan
On the Bottleneck Structure of Congestion-Controlled Networks. Proc. ACM Meas. Anal. Comput. Syst. 3 (3) (2019)