Xiuyu Li

According to our database, Xiuyu Li authored at least 28 papers between 2021 and 2025.

Collaborative distances:

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

2025

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity.

Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Chenfeng Xu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu

CoRR, June, 2025

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation.

Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Chenfeng Xu, Kelly Peng, Jianfei Chen, Song Han, Kurt Keutzer, Ion Stoica

CoRR, May, 2025

Learning Adaptive Parallel Reasoning with Language Models.

Jiayi Pan, Xiuyu Li, Long Lian, Charlie Snell, Yifei Zhou, Adam Yala, Trevor Darrell, Kurt Keutzer, Alane Suhr

CoRR, April, 2025

Token-Efficient Long Video Understanding for Multimodal LLMs.

Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon

CoRR, March, 2025

S*: Test Time Scaling for Code Generation.

Dacheng Li, Shiyi Cao, Chengkun Cao, Xiuyu Li, Shangyin Tan, Kurt Keutzer, Jiarong Xing, Joseph E. Gonzalez, Ion Stoica

CoRR, February, 2025

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han

CoRR, February, 2025

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models.

Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NVILA: Efficient Frontier Visual Language Models.

Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Data Isotopes for Data Provenance in DNNs.

Emily Wenger, Xiuyu Li, Ben Y. Zhao, Vitaly Shmatikov

Proc. Priv. Enhancing Technol., January, 2024

NVILA: Efficient Frontier Visual Language Models.

Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

CoRR, 2024

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models.

Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han

CoRR, 2024

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

CoRR, 2024

RouterBench: A Benchmark for Multi-LLM Routing System.

Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay

CoRR, 2024

SqueezeLLM: Dense-and-Sparse Quantization.

Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLoCO: Learning Long Contexts Offline.

Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Magic-Me: Identity-Specific Video Customized Diffusion.

Ze Ma, Daquan Zhou, Xue-She Wang, Chun-Hsiao Yeh, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

CVPR 2023 Text Guided Video Editing Competition.

Jay Zhangjie Wu, Xiuyu Li, Difei Gao, Zhen Dong, Jinbin Bai, Aishani Singh, Xiaoyu Xiang, Youzeng Li, Zuwei Huang, Yuanxi Sun, Rui He, Feng Hu, Junhua Hu, Hai Huang, Hanyu Zhu, Xu Cheng, Jie Tang, Mike Zheng Shou, Kurt Keutzer, Forrest N. Iandola

CoRR, 2023

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Q-Diffusion: Quantizing Diffusion Models.

Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

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

TorchSparse++: Efficient Point Cloud Engine.

Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

The ArtBench Dataset: Benchmarking Generative Models with Artworks.

Peiyuan Liao, Xiuyu Li, Xihui Liu, Kurt Keutzer

CoRR, 2022

TorchSparse: Efficient Point Cloud Inference Engine.

Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks.

Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang

Proceedings of the Learning on Graphs Conference, 2022

2021

New Benchmarks for Learning on Non-Homophilous Graphs.

Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim

CoRR, 2021

EDLm⁶APred: ensemble deep learning approach for mRNA m⁶A site prediction.

Lin Zhang, Gangshen Li, Xiuyu Li, Honglei Wang, Shutao Chen, Hui Liu

BMC Bioinform., 2021

On connected graphs and trees with maximal inverse sum indeg index.

Xiaodan Chen, Xiuyu Li, Wenshui Lin

Appl. Math. Comput., 2021

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods.

Derek Lim, Felix Hohne, Xiuyu Li, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser-Nam Lim

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