Xuxi Chen

According to our database, Xuxi Chen authored at least 29 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization.

Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang

CoRR, 2024

Sparse MoE with Language Guided Routing for Multilingual Machine Translation.

Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality.

Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

L2B: Learning to Bootstrap Robust Models for Combating Label Noise.

Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models.

Gabriel Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Rethinking PGD Attack: Is Sign Function Necessary?

Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang

CoRR, 2023

Orca 2: Teaching Small Language Models How to Reason.

Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andrés Codas, Clarisse Simões, Sahaj Agrawal, Xuxi Chen, Anastasia Razdaibiedina, Erik Jones, Kriti Aggarwal, Hamid Palangi, Guoqing Zheng, Corby Rosset, Hamed Khanpour, Ahmed Awadallah

CoRR, 2023

Learning to Optimize Differentiable Games.

Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2023

M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation.

Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is Attention All That NeRF Needs?

Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!

Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.

Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans

Proceedings of the Eleventh International Conference on Learning Representations, 2023

AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts.

Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models.

Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Is Attention All NeRF Needs?

Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang

CoRR, 2022

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.

Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

CoRR, 2022

Learning to Bootstrap for Combating Label Noise.

Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing

CoRR, 2022

Sparse Winning Tickets are Data-Efficient Image Recognizers.

Mukund Varma T., Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation.

Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets.

Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment.

Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models.

Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?

Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership.

Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Lottery Ticket Finding: Less Data is More.

Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

A Unified Lottery Ticket Hypothesis for Graph Neural Networks.

Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

GANs Can Play Lottery Tickets Too.

Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.

Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang

Proceedings of the 37th International Conference on Machine Learning, 2020