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2020 – today
- 2024
[c7]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: 5405-5418- [i9]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 abs/2402.14293 (2024) - [i8]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 abs/2407.10794 (2024) - [i7]Akrit Mudvari, Yuang Jiang, Leandros Tassiulas:
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization. CoRR abs/2410.10759 (2024) - [i6]Rui Yang, Boming Yang, Aosong Feng, Sixun Ouyang, Moritz Blum, Tianwei She, Yuang Jiang, Freddy Lécué, Jinghui Lu, Irene Li:
Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective. CoRR abs/2410.17600 (2024) - 2023
- [j3]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): 10374-10386 (2023) - [c6]Aosong Feng, Irene Li, Yuang Jiang, Rex Ying:
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences. AAAI 2023: 12772-12780 - [i5]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 abs/2308.10410 (2023) - 2022
- [c5]Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas:
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. IEEE Big Data 2022: 1002-1013 - [i4]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 abs/2210.03534 (2022) - [i3]Aosong Feng, Irene Li, Yuang Jiang, Rex Ying:
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences. CoRR abs/2210.11794 (2022) - [i2]Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas:
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. CoRR abs/2212.09945 (2022) - 2021
- [j2]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): 4576-4588 (2021) - [c4]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: 319-348 - 2020
- [c3]Yuang Jiang, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Leandros Tassiulas:
Fast Reinforcement Learning Algorithms for Resource Allocation in Data Centers. Networking 2020: 271-279 - [c2]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: 67-68
2010 – 2019
- 2019
- [j1]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): 59:1-59:31 (2019) - [c1]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: 48-60 - [i1]Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas:
Model Pruning Enables Efficient Federated Learning on Edge Devices. CoRR abs/1909.12326 (2019)
Coauthor Index
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