Guangxuan Xiao   肖光烜

I am a second-year Ph.D. student at MIT EECS, advised by Prof. Song Han. I graduated from the Department of Computer Science and Technology at Tsinghua University in 2022, advised by Prof. Zhiyuan Liu. I have been very fortunate to work with Prof. Jure Leskovec as a summer intern in 2020, with Prof. Jiajun Wu and Prof. Leslie Pack Kaelbling through the Stanford UGVR Program.

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Selected Research

My research interests focus on efficient algorithms and systems for deep learning, specifically large foundation models.

Efficient Streaming Language Models with Attention Sinks
Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis
ICLR 2024
[paper] [code] [MIT News] [NVIDIA TensorRT-LLM] [on iPhone]

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Guangxuan Xiao*, Ji Lin*, Mickael Seznec, Hao Wu, Julien Demouth, Song Han
ICML 2023
[paper] [code] [NVIDIA TensorRT-LLM]

FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
Guangxuan Xiao*, Tianwei Yin*, William T. Freeman, Frédo Durand, Song Han
arXiv
[website] [paper] [code] [demo]

Experience
Massachusetts Institute of Technology
2022.08 - Present

Ph.D student in Computer Science
Advisor: Prof. Song Han
Tsinghua University
2018.08 - 2022.07

B.Eng. in Computer Science
B.Econ. in Economics (Second Major)
Advisor: Prof. Zhiyuan Liu.
Stanford University
2020.07 - 2021.06

Visiting Research Student
Advisor: Prof. Jure Leskovec
Mentor: Jiaxuan You
Stanford University
2021.06 - 2021.11

Visiting Research Student through the UGVR program
Advisor: Prof. Jiajun Wu, Prof. Leslie Pack Kaelbling
Mentor: Jiayuan Mao
Honors & Awards
  • Hewlett Packard Fellowship, 2022
  • Boeing Scholarship, 2021
  • Tsinghua "Future Scholar" Scientific Research Grant (30000$), 2021
  • National Scholarship, 2020
  • Contemporary Undergraduate Mathematical Contest in Modeling, 1st Prize, 2020
  • Beijing "Challenge Cup" Academic Science and Technology Competition, 1st Prize, 2020
  • Tsinghua Comprehensive Excellence Scholarship, 2019
Miscellaneous

I love to play soccer. I was the captain and striker of my department soccer team.
I also love to play table tennis, Go (Weiqi), and piano. Beethoven's works are my favorite.


Template adapted from Jon Barron.