Xiuyu Li

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Connected Graphs

Diffusion Models

Top Venues

Publications

Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Ada Popa
LLoCO: Learning Long Contexts Offline. CoRR (2024)
Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay
RouterBench: A Benchmark for Multi-LLM Routing System. CoRR (2024)
Emily Wenger, Xiuyu Li, Ben Y. Zhao, Vitaly Shmatikov
Data Isotopes for Data Provenance in DNNs. Proc. Priv. Enhancing Technol. 2024 (1) (2024)
Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng
Magic-Me: Identity-Specific Video Customized Diffusion. CoRR (2024)
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops (2023)
Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
Q-Diffusion: Quantizing Diffusion Models. ICCV (2023)
Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer
SqueezeLLM: Dense-and-Sparse Quantization. CoRR (2023)
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR (2023)
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
CVPR 2023 Text Guided Video Editing Competition. CoRR (2023)
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO (2023)
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
Q-Diffusion: Quantizing Diffusion Models. CoRR (2023)
Emily Wenger, Xiuyu Li, Ben Y. Zhao, Vitaly Shmatikov
Data Isotopes for Data Provenance in DNNs. CoRR (2022)
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han
TorchSparse: Efficient Point Cloud Inference Engine. CoRR (2022)
Peiyuan Liao, Xiuyu Li, Xihui Liu, Kurt Keutzer
The ArtBench Dataset: Benchmarking Generative Models with Artworks. CoRR (2022)
Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. LoG (2022)
Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. CoRR (2022)
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han
TorchSparse: Efficient Point Cloud Inference Engine. MLSys (2022)
Xiaodan Chen, Xiuyu Li, Wenshui Lin
On connected graphs and trees with maximal inverse sum indeg index. Appl. Math. Comput. 392 (2021)
Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim
New Benchmarks for Learning on Non-Homophilous Graphs. CoRR (2021)
Lin Zhang, Gangshen Li, Xiuyu Li, Honglei Wang, Shutao Chen, Hui Liu
A site prediction. BMC Bioinform. 22 (1) (2021)
Derek Lim, Felix Hohne, Xiuyu Li, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser-Nam Lim
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods. NeurIPS (2021)
Derek Lim, Felix Hohne, Xiuyu Li, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser-Nam Lim
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods. CoRR (2021)