Xuxi Chen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 39

Top Topics

Convex Loss Functions

Top Venues

Publications

Gabriel Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. ACL (Findings) (2024)
Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. ICLR (2024)
Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR (2024)
Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen
Sparse MoE with Language Guided Routing for Multilingual Machine Translation. ICLR (2024)
Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR (2023)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR (2023)
Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang
Learning to Optimize Differentiable Games. ICML (2023)
Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. ACL (1) (2023)
Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Is Attention All That NeRF Needs? ICLR (2023)
Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. CoRR (2023)
Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Jaiswal, Zhangyang Wang
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! CoRR (2023)
Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. ICLR (2023)
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 Hassan Awadallah
Orca 2: Teaching Small Language Models How to Reason. CoRR (2023)
Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang
Rethinking PGD Attack: Is Sign Function Necessary? CoRR (2023)
Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. CoRR (2023)
Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts. ICCV (2023)
Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans
HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. ICLR (2023)
Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. ICML (2022)
Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. CoRR (2022)
Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Is Attention All NeRF Needs? CoRR (2022)
Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Hassan Awadallah, Zhangyang Wang
DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. ECCV (20) (2022)
Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation. NeurIPS (2022)
Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
Learning to Bootstrap for Combating Label Noise. CoRR (2022)
Mukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Sparse Winning Tickets are Data-Efficient Image Recognizers. NeurIPS (2022)
Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models. ECCV (23) (2022)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. CoRR (2022)
Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
GANs Can Play Lottery Tickets Too. CoRR (2021)
Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. NeurIPS (2021)
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS (2021)
Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang
Efficient Lottery Ticket Finding: Less Data is More. CoRR (2021)
Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR (2021)
Xuxi Chen, Tianlong Chen, Zhenyu Zhang, Zhangyang Wang
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. CoRR (2021)
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR (2021)
Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang
Efficient Lottery Ticket Finding: Less Data is More. ICML (2021)
Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Zhangyang Wang, Ahmed Hassan Awadallah
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. CoRR (2021)
Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML (2021)
Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
GANs Can Play Lottery Tickets Too. ICLR (2021)
Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. CoRR (2020)
Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. ICML (2020)