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Yu Sun
Yu Sun
PhD Student, Computer Science
Contact
Email: ysun23 AT gmu.edu
Affiliation: George Mason University
About
I am currently pursuing a Ph.D. in the Department of Computer Science at George Mason University. I am under the supervision of Dr. Lishan Yang. Prior to my enrollment at George Mason University, I completed my Master of Science in Electronic Information at the University of Science and Technology of China (USTC) in 2023, under the supervision of Dr. Kaiqin Chu. Before that, I conpleted my Bachelor of Sciences in Horticulture at Zhejiang University in 2020.
Research
- GPU Reliability
- Fault Tolerance
- Large Language Models
News
[07/2025] - Paper accepted to SC '25!
[06/2025] - Attend Sigmetrics '25!
[04/2025] - Paper accepted to HPDC '25!
[11/2024] - Attend SC '24!
[11/2023] - Attend SC '23!
[08/2023] - Started PhD at George Mason University.
Publications
(SC'25)
Yu Sun, Zachary Coalson, Shiyang Chen, Hang Liu, Zhao Zhang, Sanghyun Hong, Bo Fang and Lishan Yang.
"Demystifying the Resilience of Large Language Models: An End-to-End Perspective."
In the International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC25), to appear. [PDF] [Code]
"Demystifying the Resilience of Large Language Models: An End-to-End Perspective."
In the International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC25), to appear. [PDF] [Code]
(HPDC'25)
Yu Sun, Zhu Zhu, Cherish Mulpuru, Roberto Gioiosa, Zhao Zhang, Bo Fang and Lishan Yang.
"FT2: First-Token-Inspired Online Fault Tolerance on Critical Layers for Generative Large Language Models."
In the 34th International Symposium on High-Performance Parallel and Distributed Computing (HPDC '25), to appear. [PDF] [Code]
"FT2: First-Token-Inspired Online Fault Tolerance on Critical Layers for Generative Large Language Models."
In the 34th International Symposium on High-Performance Parallel and Distributed Computing (HPDC '25), to appear. [PDF] [Code]
Yu Sun, Ruijie Shi, Xiangyang Chen, Jingde Fang, Zachary Smith and Kaiqin Chu.
"Quantification of Intra Embryonic Motions Through Label Free and Fast Imaging of Yolk Granules."
IEEE Journal of Selected Topics in Quantum Electronics, vol. 29, no. 4: Biophotonics, pp. 1-8, July-Aug. 2023.
"Quantification of Intra Embryonic Motions Through Label Free and Fast Imaging of Yolk Granules."
IEEE Journal of Selected Topics in Quantum Electronics, vol. 29, no. 4: Biophotonics, pp. 1-8, July-Aug. 2023.
Ruijie Shi*, Yu Sun*, Jingde Fang, Xiangyang Chen, Zachary Smith and Kaiqin Chu.
"Asymmetrical Illumination Enables Lipid Droplets Segmentation in Caenorhabditis elegans Using Epi-Illumination Dark Field Microscopy."
Front. Phys. 10:894797, 2022.
"Asymmetrical Illumination Enables Lipid Droplets Segmentation in Caenorhabditis elegans Using Epi-Illumination Dark Field Microscopy."
Front. Phys. 10:894797, 2022.
Awards
[2025] - [Student Travel Grant for Sigmetrics '25]
[2024] - [Student Volunteer Travel Grant for SC '24]
[2024] - [Student Travel Grant for MUG '24]
Services
[2025] - [Journal Reviewing ACM Performance Evaluation]