Yuang Jiang

22 papers A* 3B 2Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Graphusion: A RAG Framework for Scientific Knowledge Graph Construction with a Global Perspective.
WWW (Companion Volume)
Rui Yang, Boming Yang, Xinjie Zhao, Fan Gao, Aosong Feng, Sixun Ouyang, Moritz Blum, Tianwei She, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li
2025 J jnl
MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering.
CoRR
Feiyang Li, Yingjian Chen, Haoran Liu, Rui Yang, Han Yuan, Yuang Jiang, Tianxiao Li, Edison Marrese-Taylor, Hossein Rouhizadeh, Yusuke Iwasawa, Douglas Teodoro, Yutaka Matsuo, Irene Li
2025 A* conf
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation.
EMNLP
Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Aosong Feng, Dairui Liu, Yun Xing, Junjue Wang, Fan Gao, Jinghui Lu, Yuang Jiang, Huitao Li, Xin Li, Kunyu Yu, Ruihai Dong, Shangding Gu, Yuekang Li, Xiaofei Xie, Felix Juefei-Xu, Foutse Khomh, Osamu Yoshie, Qingyu Chen, Douglas Teodoro, Nan Liu, Randy Goebel, Lei Ma, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li
2024 — conf
Evaluating Large Language Models on Wikipedia-Style Survey Generation.
ACL (Findings)
Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Tianwei She, Yuang Jiang, Irene Li
2024 J jnl
Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective.
CoRR
Rui Yang, Boming Yang, Aosong Feng, Sixun Ouyang, Moritz Blum, Tianwei She, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li
2024 J jnl
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education.
CoRR
Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li
2024 J jnl
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education.
CoRR
Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li
2024 J jnl
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization.
CoRR
Akrit Mudvari, Yuang Jiang, Leandros Tassiulas
2023 A* conf
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences.
AAAI
Aosong Feng, Irene Li, Yuang Jiang, Rex Ying
2023 J jnl
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts.
CoRR
Fan Gao, Hang Jiang, Moritz Blum, Jinghui Lu, Yuang Jiang, Irene Li
2023 J jnl
Model Pruning Enables Efficient Federated Learning on Edge Devices.
IEEE Trans. Neural Networks Learn. Syst.
Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas
2022 J jnl
A Quantitative Theory of Bottleneck Structures for Data Networks.
CoRR
Jordi Ros-Giralt, Noah Amsel, Sruthi Yellamraju, James R. Ezick, Richard Lethin, Yuang Jiang, Aosong Feng, Leandros Tassiulas
2022 J jnl
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences.
CoRR
Aosong Feng, Irene Li, Yuang Jiang, Rex Ying
2022 B conf
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality.
IEEE Big Data
Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas
2022 J jnl
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality.
CoRR
Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas
2021 A* conf
Designing data center networks using bottleneck structures.
SIGCOMM
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
2021 J jnl
Resource Allocation in Data Centers Using Fast Reinforcement Learning Algorithms.
IEEE Trans. Netw. Serv. Manag.
Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas
2020 B conf
Fast Reinforcement Learning Algorithms for Resource Allocation in Data Centers.
Networking
Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas
2020 — conf
On the Bottleneck Structure of Congestion-Controlled Networks.
SIGMETRICS (Abstracts)
Jordi Ros-Giralt, Atul Bohara, Sruthi Yellamraju, Harper Langston, Richard Lethin, Yuang Jiang, Leandros Tassiulas, Josie Li, Yuanlong Tan, Malathi Veeraraghavan
2019 — conf
G2: A Network Optimization Framework for High-Precision Analysis of Bottleneck and Flow Performance.
INDIS@SC
Jordi Ros-Giralt, Leandros Tassiulas, Sruthi Yellamraju, Atul Bohara, Richard Lethin, Josie Li, Ying Lin, Yuanlong Tan, Malathi Veeraraghavan, Yuang Jiang
2019 J jnl
Model Pruning Enables Efficient Federated Learning on Edge Devices.
CoRR
Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas
2019 J jnl
On the Bottleneck Structure of Congestion-Controlled Networks.
Proc. ACM Meas. Anal. Comput. Syst.
Jordi Ros-Giralt, Atul Bohara, Sruthi Yellamraju, Matthew Harper Langston, Richard Lethin, Yuang Jiang, Leandros Tassiulas, Josie Li, Yuanlong Tan, Malathi Veeraraghavan