| Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods D Lim*, F Hohne*, X Li*, SL Huang, V Gupta, O Bhalerao, SN Lim Advances in Neural Information Processing Systems (NeurIPS), 2021 | 222 | 2021 |
| New benchmarks for learning on non-homophilous graphs D Lim*, X Li*, F Hohne*, SN Lim arXiv preprint arXiv:2104.01404, 2021 | 81 | 2021 |
| TorchSparse: Efficient Point Cloud Inference Engine H Tang*, Z Liu*, X Li*, Y Lin, S Han Proceedings of Machine Learning and Systems (MLSys), 2022 | 73 | 2022 |
| SqueezeLLM: Dense-and-Sparse Quantization S Kim, C Hooper, A Gholami, Z Dong, X Li, S Shen, MW Mahoney, ... arXiv preprint arXiv:2306.07629, 2023 | 56 | 2023 |
| Q-diffusion: Quantizing diffusion models X Li, Y Liu, L Lian, H Yang, Z Dong, D Kang, S Zhang, K Keutzer International Conference on Computer Vision (ICCV), 2023 | 42 | 2023 |
| The artbench dataset: Benchmarking generative models with artworks P Liao*, X Li*, X Liu, K Keutzer arXiv preprint arXiv:2206.11404, 2022 | 18 | 2022 |
| GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks C Deng, X Li, Z Feng, Z Zhang Learning on Graphs Conference (LoG), 2022 | 14 | 2022 |
| Torchsparse++: Efficient training and inference framework for sparse convolution on gpus H Tang, S Yang, Z Liu, K Hong, Z Yu, X Li, G Dai, Y Wang, S Han Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 9* | 2023 |
| Cvpr 2023 text guided video editing competition JZ Wu, X Li, D Gao, Z Dong, J Bai, A Singh, X Xiang, Y Li, Z Huang, Y Sun, ... arXiv preprint arXiv:2310.16003, 2023 | 9 | 2023 |
| Data Isotopes for Data Provenance in DNNs E Wenger, X Li, BY Zhao, V Shmatikov Proceedings of Privacy Enhancing Technologies Symposium (PETS), 2022 | 5 | 2022 |
| Magic-Me: Identity-Specific Video Customized Diffusion Z Ma, D Zhou, CH Yeh, XS Wang, X Li, H Yang, Z Dong, K Keutzer, ... arXiv preprint arXiv:2402.09368, 2024 | 2 | 2024 |
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyEmail verificata su berkeley.edu
