Xiangchi Yuan

Hi, I am Xiangchi Yuan (pronounced as Shyang-Chee Yoo-an/袁象驰), a PhD student at the School of Computer Science at Georgia Institute of Technology🐝.

I earned my MSCS degree at Brandeis University and earned my bachelor degrees from UESTC and University of Glasgow.

I sincerely thank all the co-authors, especially my mentor 🌲Mr. Chunhui Zhang who generously helped me start my research.

Email / CV / Google Scholar / Github / LinkedIn

Papers

My research interests include learning robust and generalized models from noisy and complex data. In the past, I contributed to achieve this goal by learning real-world data, and now in the generation era, my focus is learning from synthetic/hybrid data and generating better synthetic data for training better next-generation foundation models.

I appreciate the brilliance and dedication of my co-authors in these works!!

LongMamba: Enhancing Mamba’s Long-Context Capabilities via Training-Free Receptive Field Enlargement
Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin
International Conference on Learning Representations (ICLR), 2025.
project page / preprint

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Dachuan Shi, Xiangchi Yuan, Roman Yakunin, Yingyan Celine Lin.
Neural Information Processing Systems (NeurIPS 2024).
project page / preprint

Graph Cross Supervised Learning via Generalized Knowledge
Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V Chawla, Chuxu Zhang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024).
project page / preprint

	Mitigating Severe Robustness Degradation on Graphs Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang International Conference on Learning Representations (ICLR 2024). project page / preprint
	An End-to-End 12-Leading Electrocardiogram Diagnosis System Based on Deformable Convolutional Neural Network With Good Antinoise Ability. Lang Qin, Yuntao Xie, Xinwen Liu, Xiangchi Yuan, and Huan Wang. IEEE Transactions on Instrumentation and Measurement (IEEE TIM 2021). . project page / preprint

To all students/friends

My role model 🌲Mr. Chunhui Zhang gave me tons of precious support and guidance from research to life. I hope to follow his steps to spread kindness like him :)

Feel free to drop me an email if you're up for a laid-back chat about life, career, or research. I'm dedicating (at least) 30 minutes each week for these discussions, and I'm particularly eager to connect with students from underrepresented backgrounds or those dealing with challenges or inequity. Just reach out – I'm here to listen

Fun Stuff

I'm a professional photographer and really enjoy street snaps.

Some Photos!

Design and source code from this cool guy.