Xuxi Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
8
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | Growing Your Data: A Data Synthesis Approach for Irregular Time Series Forecasting. | Tong Wang, Xuxi Chen, Zhangyang Wang, Ying Ding |
| 2025 | NAACL | Extracting and Understanding the Superficial Knowledge in Alignment. | Runjin Chen, Gabriel J. Perin, Xuxi Chen, Xilun Chen, Yan Han, Nina S. T. Hirata, Junyuan Hong, Bhavya Kailkhura |
| 2024 | ACL | RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. | Gabriel J. Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher |
| 2024 | CVPR | 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 |
| 2024 | ICLR | Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. | Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman |
| 2024 | ICLR | Sparse MoE with Language Guided Routing for Multilingual Machine Translation. | Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen |
| 2023 | ACL | DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models. | Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang, Yu Cheng |
| 2023 | ICCV | 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 |
| 2023 | ICLR | 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 |
| 2023 | ICLR | 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 Krkkinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Is Attention All That NeRF Needs? | Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang |
| 2023 | ICLR | M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. | Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang |
| 2023 | ICML | Learning to Optimize Differentiable Games. | Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang |
| 2022 | ECCV | Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models. | Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang |
| 2022 | ECCV | 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 |
| 2022 | ICML | Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. | Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang |
| 2021 | ICLR | GANs Can Play Lottery Tickets Too. | Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen |
| 2021 | ICML | A Unified Lottery Ticket Hypothesis for Graph Neural Networks. | Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang |
| 2021 | ICML | Efficient Lottery Ticket Finding: Less Data is More. | Zhenyu Zhang, Xuxi Chen, Tianlong Chen, Zhangyang Wang |
| 2020 | ICML | Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. | Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang |