Publications

A selection of my published papers.

2023

  1. AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts
    Chen, Tianlong,  Chen, Xuxi, Du, Xianzhi, Rashwan, Abdullah, Yang, Fan, Chen, Huizhong, Wang, Zhangyang, and Li, Yeqing
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
  2. Learning to Optimize Differentiable Games
    Chen, Xuxi, Vadori, Nelson, Chen, Tianlong, and Wang, Zhangyang
    In International Conference on Machine Learning 2023
  3. 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
  4. 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

2022

  1. More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
    Liu, Shiwei, Chen, Tianlong, Chen, Xiaohan,  Chen, Xuxi, Xiao, Qiao, Wu, Boqian, Kärkkäinen, Tommi, Pechenizkiy, Mykola, Mocanu, Decebal Constantin, and Wang, Zhangyang
    In International Conference on Learning Representations 2022
  2. 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
  3. 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
  4. 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
  5. Is Attention All That NeRF Needs?
    Varma, Mukund, Wang, Peihao,  Chen, Xuxi, Chen, Tianlong, Venugopalan, Subhashini, and Wang, Zhangyang
    In The Eleventh International Conference on Learning Representations 2022
  6. Sparse Winning Tickets are Data-Efficient Image Recognizers
    Varma T, Mukund,  Chen, Xuxi, Zhang, Zhenyu, Chen, Tianlong, Venugopalan, Subhashini, and Wang, Zhangyang
    Advances in Neural Information Processing Systems 2022
  7. 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
  8. 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
  9. 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
  10. 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

2021

  1. 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
  2. Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
    Ma, Xiaolong, Yuan, Geng, Shen, Xuan, Chen, Tianlong,  Chen, Xuxi, Chen, Xiaohan, Liu, Ning, Qin, Minghai, Liu, Sijia, Wang, Zhangyang, and others,
    Advances in Neural Information Processing Systems 2021
  3. Efficient lottery ticket finding: Less data is more
    Zhang, Zhenyu,  Chen, Xuxi, Chen, Tianlong, and Wang, Zhangyang
    In International Conference on Machine Learning 2021
  4. 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

2020

  1. GANs Can Play Lottery Tickets Too
    Chen, Xuxi, Zhang, Zhenyu, Sui, Yongduo, and Chen, Tianlong
    In International Conference on Learning Representations 2020
  2. Self-pu: Self boosted and calibrated positive-unlabeled training
    Chen, Xuxi, Chen, Wuyang, Chen, Tianlong, Yuan, Ye, Gong, Chen, Chen, Kewei, and Wang, Zhangyang
    In International Conference on Machine Learning 2020