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 (NeurIPS, 2021)

On connected graphs and trees with maximal inverse sum indeg index. - Xiaodan Chen; Xiuyu Li; Wenshui Lin (Appl. Math. Comput., 2021)

EDLm6APred: ensemble deep learning approach for mRNA m6A site prediction. - Lin Zhang 015; Gangshen Li; Xiuyu Li; Honglei Wang; Shutao Chen; Hui Liu 024 (BMC Bioinform., 2021)

New Benchmarks for Learning on Non-Homophilous Graphs. - Derek Lim; Xiuyu Li; Felix Hohne; Ser-Nam Lim (CoRR, 2021)

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. - Chenhui Deng; Xiuyu Li; Zhuo Feng; Zhiru Zhang (LoG, 2022)

TorchSparse: Efficient Point Cloud Inference Engine. - Haotian Tang; Zhijian Liu; Xiuyu Li; Yujun Lin 001; Song Han 003 (MLSys, 2022)

The ArtBench Dataset: Benchmarking Generative Models with Artworks. - Peiyuan Liao; Xiuyu Li; Xihui Liu; Kurt Keutzer (CoRR, 2022)

TorchSparse++: Efficient Point Cloud Engine. - Haotian Tang; Shang Yang; Zhijian Liu; Ke Hong; Zhongming Yu; Xiuyu Li; Guohao Dai; Yu Wang 002; Song Han 003 (CVPR Workshops, 2023)

Q-Diffusion: Quantizing Diffusion Models. - Xiuyu Li; Yijiang Liu; Long Lian; Huanrui Yang; Zhen Dong 003; Daniel Kang; Shanghang Zhang; Kurt Keutzer (ICCV, 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 002; Song Han 003 (MICRO, 2023)

CVPR 2023 Text Guided Video Editing Competition. - Jay Zhangjie Wu; Xiuyu Li; Difei Gao; Zhen Dong 003; Jinbin Bai; Aishani Singh; Xiaoyu Xiang; Youzeng Li; Zuwei Huang; Yuanxi Sun; Rui He; Feng Hu; et al. (CoRR, 2023)

Magic-Me: Identity-Specific Video Customized Diffusion. - Ze Ma; Daquan Zhou; Xue-She Wang; Chun-Hsiao Yeh; Xiuyu Li; Huanrui Yang; Zhen Dong 003; Kurt Keutzer; Jiashi Feng (ECCV Workshops (5), 2024)

LLoCO: Learning Long Contexts Offline. - Sijun Tan; Xiuyu Li; Shishir G. Patil; Ziyang Wu; Tianjun Zhang; Kurt Keutzer; Joseph Gonzalez 001; Raluca A. Popa (EMNLP, 2024)

SqueezeLLM: Dense-and-Sparse Quantization. - Sehoon Kim 001; Coleman Hooper; Amir Gholami; Zhen Dong 003; Xiuyu Li; Sheng Shen 001; Michael W. Mahoney; Kurt Keutzer (ICML, 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)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Fuzhao Xue; Yukang Chen; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Ethan He; Hongxu Yin; et al. (CoRR, 2024)

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models. - Muyang Li; Yujun Lin 001; Zhekai Zhang; Tianle Cai; Xiuyu Li; Junxian Guo; Enze Xie; Chenlin Meng; Jun-Yan Zhu; Song Han 003 (CoRR, 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; et al. (CoRR, 2024)

Data Isotopes for Data Provenance in DNNs. - Emily Wenger; Xiuyu Li; Ben Y. Zhao; Vitaly Shmatikov (Proc. Priv. Enhancing Technol., 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; Haotian Tang; et al. (CVPR, 2025)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Yukang Chen; Fuzhao Xue; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Yihui He; Hongxu Yin; et al. (ICLR, 2025)

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models. - Muyang Li; Yujun Lin 001; Zhekai Zhang; Tianle Cai; Xiuyu Li; Junxian Guo; Enze Xie; Chenlin Meng; Jun-Yan Zhu; Song Han 001 (ICLR, 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 001; Han Cai; Jintao Zhang; Dacheng Li; Jianfei Chen; Ion Stoica; et al. (CoRR, 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, 2025)

Token-Efficient Long Video Understanding for Multimodal LLMs. - Jindong Jiang; Xiuyu Li; Zhijian Liu; Muyang Li; Guo Chen 006; Zhiqi Li; De-An Huang; Guilin Liu; Zhiding Yu; Kurt Keutzer; Sungjin Ahn; Jan Kautz; et al. (CoRR, 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, 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 001; Xiuyu Li; Chenfeng Xu; Kelly Peng; Jianfei Chen; Song Han 003; et al. (CoRR, 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 003; Zhijian Liu (CoRR, 2025)