| 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 NeurIPS 2021, 2021 | 378 | 2021 |
| SqueezeLLM: Dense-and-Sparse Quantization S Kim, C Hooper, A Gholami, Z Dong, X Li, S Shen, MW Mahoney, ... ICML 2024, 2023 | 171 | 2023 |
| Q-diffusion: Quantizing diffusion models X Li, Y Liu, L Lian, H Yang, Z Dong, D Kang, S Zhang, K Keutzer ICCV 2023, 2023 | 159 | 2023 |
| New benchmarks for learning on non-homophilous graphs D Lim*, X Li*, F Hohne*, SN Lim arXiv preprint arXiv:2104.01404, 2021 | 111 | 2021 |
| TorchSparse: Efficient Point Cloud Inference Engine H Tang*, Z Liu*, X Li*, Y Lin, S Han MLSys 2022, 2022 | 110 | 2022 |
| The artbench dataset: Benchmarking generative models with artworks P Liao*, X Li*, X Liu, K Keutzer arXiv preprint arXiv:2206.11404, 2022 | 42 | 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 | 34* | 2023 |
| Longvila: Scaling long-context visual language models for long videos F Xue, Y Chen, D Li, Q Hu, L Zhu, X Li, Y Fang, H Tang, S Yang, Z Liu, ... arXiv preprint arXiv:2408.10188, 2024 | 32 | 2024 |
| GARNET: Reduced-Rank Topology Learning for Robust and Scalable GNNs C Deng, X Li, Z Feng, Z Zhang LoG 2022, 2022 | 31* | 2022 |
| 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 | 30 | 2023 |
| ROUTERBENCH: A Benchmark for Multi-LLM Routing System QJ Hu, J Bieker, X Li, N Jiang, B Keigwin, G Ranganath, K Keutzer, ... arXiv preprint arXiv:2403.12031, 2024 | 29* | 2024 |
| 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 | 22 | 2024 |
| LLoCO: Learning Long Contexts Offline S Tan*, X Li*, S Patil, Z Wu, T Zhang, K Keutzer, JE Gonzalez, RA Popa EMNLP 2024, 2024 | 11 | 2024 |
| Data Isotopes for Data Provenance in DNNs E Wenger, X Li, BY Zhao, V Shmatikov PETS 2024, 2022 | 11 | 2022 |
| Svdqunat: Absorbing outliers by low-rank components for 4-bit diffusion models M Li, Y Lin, Z Zhang, T Cai, X Li, J Guo, E Xie, C Meng, JY Zhu, S Han arXiv preprint arXiv:2411.05007, 2024 | 10 | 2024 |
| NVILA: Efficient frontier visual language models Z Liu, L Zhu, B Shi, Z Zhang, Y Lou, S Yang, H Xi, S Cao, Y Gu, D Li, X Li, ... arXiv preprint arXiv:2412.04468, 2024 | 6 | 2024 |
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyGeverifieerd e-mailadres voor berkeley.edu