(* indicates equal contribution)
TorchSparse: Efficient Point Cloud Inference Engine
Haotian Tang*, Zhijian Liu*, Xiuyu Li*, Yujun Lin, Song Han
Conference on Machine Learning and Systems (MLSys), 2022
[abs]  [arXiv]  [pdf]  [code]  [website]

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang
Learning on Graphs Conference (LoG), 2022, Spotlight
[abs]  [arXiv]  [pdf]  [code]

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
Advances in Neural Information Processing Systems (NeurIPS), 2021
Previous version: New Benchmarks for Learning on Non-Homophilous Graphs
The Web Conference (WWW) Workshop on Graph Learning Benchmarks, 2021
[workshop arXiv]  [workshop pdf]  [workshop code & datasets]

[abs]  [arXiv]  [pdf]  [code & datasets]

Data Isotopes for Data Provenance in DNNs
Emily Wenger, Xiuyu Li, Ben Y. Zhao, Vitaly Shmatikov
Preprint, 2022
[abs]  [arXiv]  [pdf

The ArtBench Dataset: Benchmarking Generative Models with Artworks
Peiyuan Liao*, Xiuyu Li*, Xihui Liu, Kurt Keutzer
Preprint, 2022
[abs]  [arXiv]  [pdf]  [code]