Homepage - Xuxi Chen

A Ph.D. student in VITA group at Universit of Texas at Austin.

I am currently a second year Ph.D. student of Electrical and Computer Engineering (DICE) at VITA and I am fortunate to be supervised by Prof. Zhangyang (Atlas) Wang. I am currently working on Model- & Data-efficiency Algorithms, AI4Science (Biology & Material Sciences) and Learning to Optimize (L2O). I obtained my Bachelor’s Degree from the University of Science and Technology of China in 2021. I also collaborate closely with Dr. Yu Cheng and Dr. Bhavya Kailkhura.

news

Jul 3, 2023 Homepage Updated!
Jan 30, 2022 Personal website is on!

selected publications

  1. Learning to Optimize Differentiable Games
    Chen, Xuxi, Vadori, Nelson, Chen, Tianlong, and Wang, Zhangyang
    In International Conference on Machine Learning 2023
  2. Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Material Science Benchmark and An Integrated Optimization Framework
    Chen, Xuxi, Chen, Tianlong, Olivares, Everardo Yeriel, Elder, Kate, McCall, Scott, Perron, Aurelien, McKeown, Joseph, Kailkhura, Bhavya, Wang, Zhangyang, and Gallagher, Brian
    In ICLR Workshop on Machine Learning for Materials 2023
  3. M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
    Yang, Junjie,  Chen, Xuxi, Chen, Tianlong, Wang, Zhangyang, and Liang, Yingbin
    In International Conference on Learning Representations 2022
  4. Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
    Liu, Shiwei, Chen, Tianlong, Zhang, Zhenyu,  Chen, Xuxi, Huang, Tianjin, JAISWAL, AJAY KUMAR, and Wang, Zhangyang
    In International Conference on Learning Representations 2022
  5. Hotprotein: A novel framework for protein thermostability prediction and editing
    Chen, Tianlong, Gong, Chengyue, Diaz, Daniel Jesus,  Chen, Xuxi, Wells, Jordan Tyler, Wang, Zhangyang, Ellington, Andrew, Dimakis, Alex, Klivans, Adam, and others,
    In International Conference on Learning Representations 2022
  6. Back razor: Memory-efficient transfer learning by self-sparsified backpropagation
    Jiang, Ziyu,  Chen, Xuxi, Huang, Xueqin, Du, Xianzhi, Zhou, Denny, and Wang, Zhangyang
    Advances in Neural Information Processing Systems 2022
  7. Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models
    Chen, Xuxi, Chen, Tianlong, Cheng, Yu, Chen, Weizhu, Awadallah, Ahmed, and Wang, Zhangyang
    European Conference on Computer Vision 2022
  8. DnA: Improving Few-shot Transfer Learning with Low-Rank Decomposition and Alignment
    Jiang, Ziyu, Chen, Tianlong,  Chen, Xuxi, Cheng, Yu, Zhuo, Luowei, Yuan, Lu, Awadallah, Ahmed, and Wang, Zhangyang
    European Conference on Computer Vision 2022
  9. Coarsening the granularity: Towards structurally sparse lottery tickets
    Chen, Tianlong,  Chen, Xuxi, Ma, Xiaolong, Wang, Yanzhi, and Wang, Zhangyang
    International Conference on Machine Learning 2022
  10. DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
    Chen, Xuxi, Chen, Tianlong, Chen, Weizhu, Awadallah, Ahmed Hassan, Wang, Zhangyang, and Cheng, Yu
    Annual Meeting of the Association for Computational Linguistics 2023
  11. You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
    Chen, Xuxi, Chen, Tianlong, Zhang, Zhenyu, and Wang, Zhangyang
    Advances in Neural Information Processing Systems 2021
  12. Efficient lottery ticket finding: Less data is more
    Zhang, Zhenyu,  Chen, Xuxi, Chen, Tianlong, and Wang, Zhangyang
    In International Conference on Machine Learning 2021
  13. A unified lottery ticket hypothesis for graph neural networks
    Chen, Tianlong, Sui, Yongduo,  Chen, Xuxi, Zhang, Aston, and Wang, Zhangyang
    In International Conference on Machine Learning 2021
  14. GANs Can Play Lottery Tickets Too
    Chen, Xuxi, Zhang, Zhenyu, Sui, Yongduo, and Chen, Tianlong
    In International Conference on Learning Representations 2020