| Damo-yolo: A report on real-time object detection design X Xu, Y Jiang, W Chen, Y Huang, Y Zhang, X Sun arXiv preprint arXiv:2211.15444, 2022 | 196 | 2022 |
| Zen-nas: A zero-shot nas for high-performance image recognition M Lin, P Wang, Z Sun, H Chen, X Sun, Q Qian, H Li, R Jin Proceedings of the IEEE/CVF International Conference on Computer Vision, 347-356, 2021 | 179 | 2021 |
| Text-to-sql empowered by large language models: A benchmark evaluation D Gao, H Wang, Y Li, X Sun, Y Qian, B Ding, J Zhou Proceedings of the VLDB Endowment 2024 17 (5), 1132-1145, 2024 | 158 | 2024 |
| GiraffeDet: A Heavy-Neck Paradigm for Object Detection Y Jiang, Z Tan, J Wang, X Sun, M Lin, H Li International Conference on Learning Representations 2022 (ICLR 2022), 2022 | 144* | 2022 |
| Entroformer: A Transformer-based Entropy Model for Learned Image Compression Y Qian, M Lin, X Sun, Z Tan, R Jin International Conference on Learning Representations 2022 (ICLR 2022), 2022 | 120 | 2022 |
| Beyond appearance: a semantic controllable self-supervised learning framework for human-centric visual tasks W Chen, X Xu, J Jia, H Luo, Y Wang, F Wang, R Jin, X Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 96 | 2023 |
| Learning accurate entropy model with global reference for image compression Y Qian, Z Tan, X Sun, M Lin, D Li, Z Sun, H Li, R Jin International Conference on Learning Representations 2021 (ICLR 2021), 2021 | 69 | 2021 |
| MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection Z Sun, M Lin, X Sun, Z Tan, H Li, R Jin Proceedings of the 39th International Conference on Machine Learning, 20810 …, 2022 | 41* | 2022 |
| Deepmad: Mathematical architecture design for deep convolutional neural network X Shen, Y Wang, M Lin, Y Huang, H Tang, X Sun, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 32 | 2023 |
| Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space Y Wang, Y Zhang, F Zhang, S Wang, M Lin, YQ Zhang, X Sun International Conference on Learning Representations 2022 (ICLR 2022), 2022 | 30 | 2022 |
| Channel-max, channel-drop and stochastic max-pooling Y Huang, X Sun, M Lu, M Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 24 | 2015 |
| Neural architecture design for gpu-efficient networks M Lin, H Chen, X Sun, Q Qian, H Li, R Jin arXiv preprint arXiv:2006.14090, 2020 | 23 | 2020 |
| Exploring the quality of gan generated images for person re-identification Y Jiang, W Chen, X Sun, X Shi, F Wang, H Li Proceedings of the 29th ACM International Conference on Multimedia, 4146-4155, 2021 | 19 | 2021 |
| PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search H Wang, C Ge, H Chen, X Sun Proceedings of the 40th International Conference on Machine Learning, 2023 | 18 | 2023 |
| Entropy-Driven Mixed-Precision Quantization for Deep Network Design Z Sun, C Ge, J Wang, M Lin, H Chen, H Li, X Sun Advances in Neural Information Processing Systems, 2022 | 18 | 2022 |
| Interpolation variable rate image compression Z Sun, Z Tan, X Sun, F Zhang, Y Qian, D Li, H Li Proceedings of the 29th ACM international conference on multimedia, 5574-5582, 2021 | 16 | 2021 |
| Spatiotemporal entropy model is all you need for learned video compression Z Sun, Z Tan, X Sun, F Zhang, D Li, Y Qian, H Li arXiv preprint arXiv:2104.06083, 2021 | 16 | 2021 |
| Nas-bench-zero: A large scale dataset for understanding zero-shot neural architecture search H Chen, M Lin, X Sun, H Li | 16* | 2021 |
| Parallel active contour with lattice Boltzmann scheme on modern GPU X Sun, Z Wang, G Chen 2012 19th IEEE International Conference on Image Processing, 1709-1712, 2012 | 13 | 2012 |
| Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition J Wang, Z Sun, Y Qian, D Gong, X Sun, M Lin, M Pagnucco, Y Song International Conference on Learning Representations, 2023 | 12 | 2023 |
Ming LinAlibaba Group在 alibaba-inc.com 的电子邮件经过验证
