Guangxuan Xiao

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 and Prof. Jidong Zhai. 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.

Email / Google Scholar / Github / Linkedin

Research

My research interests are efficient algorithms and systems for real-world machine learning applications, especially foundation models.

	Efficient Streaming Language Models with Attention Sinks Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis arXiv [paper] [code]
	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]
	Offsite-Tuning: Transfer Learning without Full Model Guangxuan Xiao, Ji Lin, Song Han arXiv [paper] [code]
	ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang arXiv [paper]
	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]
	Sparse and Local Hypergraph Reasoning Networks Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao LOG 2022 [paper]
	Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-Level Backdoor Attacks Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun ICML 2021 AdvML Workshop [paper]

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, Prof. Jidong Zhai
	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.