| YOLOv6: A single-stage object detection framework for industrial applications C Li, L Li, H Jiang, K Weng, Y Geng, L Li, Z Ke, Q Li, M Cheng, W Nie, Y Li, ... arXiv preprint arXiv:2209.02976, 2022 | 1223 | 2022 |
| Make repvgg greater again: A quantization-aware approach X Chu, L Li, B Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11624 …, 2024 | 29 | 2024 |
| Norm tweaking: High-performance low-bit quantization of large language models L Li, Q Li, B Zhang, X Chu Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18536 …, 2024 | 14 | 2024 |
| Fake news detectors are biased against texts generated by large language models J Su, TY Zhuo, J Mansurov, D Wang, P Nakov arXiv preprint arXiv:2309.08674, 2023 | 13 | 2023 |
| Fptq: Fine-grained post-training quantization for large language models Q Li, Y Zhang, L Li, P Yao, B Zhang, X Chu, Y Sun, L Du, Y Xie arXiv preprint arXiv:2308.15987, 2023 | 5 | 2023 |
| LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection S Zhou, L Li, X Zhang, B Zhang, S Bai, M Sun, Z Zhao, X Lu, X Chu arXiv preprint arXiv:2401.15865, 2024 | 4 | 2024 |
| A Speed Odyssey for Deployable Quantization of LLMs Q Li, R Meng, Y Li, B Zhang, L Li, Y Lu, X Chu, Y Sun, Y Xie arXiv preprint arXiv:2311.09550, 2023 | 2 | 2023 |
| Ct scanning method and system, electronic device, and computer-readable storage medium Z Wang, L Zhang, YIN Hongxia, Y Xing, Z Chen, K Kang, L Li, P Zhao, ... US Patent App. 18/085,522, 2023 | | 2023 |
| Apparatus and method with neural network optimization DU Fangfang, F Liu, L Li, P Zhao, F Xie US Patent App. 17/946,218, 2023 | | 2023 |
| Protective Self-Adaptive Pruning to Better Compress DNNs L Li, P Zhao arXiv preprint arXiv:2303.11881, 2023 | | 2023 |
| Method and apparatus for determining neural network architecture of processor F Xie, DU Fangfang, F Liu, L Li, P Zhao, K Lu US Patent App. 17/376,302, 2022 | | 2022 |
