| Semanticposs: A point cloud dataset with large quantity of dynamic instances Y Pan, B Gao, J Mei, S Geng, C Li, H Zhao 2020 IEEE Intelligent Vehicles Symposium (IV), 687-693, 2020 | 130 | 2020 |
| Semantic segmentation of 3d lidar data in dynamic scene using semi-supervised learning J Mei, B Gao, D Xu, W Yao, X Zhao, H Zhao IEEE Transactions on Intelligent Transportation Systems 21 (6), 2496-2509, 2019 | 71 | 2019 |
| Scene-adaptive off-road detection using a monocular camera J Mei, Y Yu, H Zhao, H Zha IEEE Transactions on Intelligent Transportation Systems 19 (1), 242-253, 2017 | 33 | 2017 |
| Incorporating human domain knowledge in 3-D LiDAR-based semantic segmentation J Mei, H Zhao IEEE Transactions on Intelligent Vehicles 5 (2), 178-187, 2019 | 22 | 2019 |
| Agnas: Attention-guided micro and macro-architecture search Z Sun, Y Hu, S Lu, L Yang, J Mei, Y Han, X Li International conference on machine learning, 20777-20789, 2022 | 13 | 2022 |
| Searching for burgerformer with micro-meso-macro space design L Yang, Y Hu, S Lu, Z Sun, J Mei, Y Han, X Li International conference on machine learning, 25055-25069, 2022 | 9 | 2022 |
| STC-NAS: Fast neural architecture search with source-target consistency Z Sun, Y Hu, L Yang, S Lu, J Mei, Y Han, X Li Neurocomputing 497, 227-238, 2022 | 5 | 2022 |
| DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search. S Lu, Y Hu, L Yang, Z Sun, J Mei, Y Zeng, X Li, T ADlab BMVC, 133, 2021 | 5 | 2021 |
| Supervised learning for semantic segmentation of 3D LiDAR data J Mei, J Chen, W Yao, X Zhao, H Zhao 2019 IEEE Intelligent Vehicles Symposium (IV), 1491-1498, 2019 | 5 | 2019 |
| Pa&da: Jointly sampling path and data for consistent nas S Lu, Y Hu, L Yang, Z Sun, J Mei, J Tan, C Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| M2F2-Net: Multi-Modal Feature Fusion for Unstructured Off-Road Freespace Detection H Ye, J Mei, Y Hu 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | 2 | 2023 |
| PMR-CNN: Prototype Mixture R-CNN for Few-Shot Object Detection J Zhou, J Mei, H Li, Y Hu 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | 1 | 2023 |
| Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS Z Sun, Y Sun, L Yang, S Lu, J Mei, W Zhao, Y Hu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| DDSAS: Dynamic and Differentiable Space-Architecture Search L Yang, Y Hu, S Lu, Z Sun, J Mei, Y Zeng, Z Shi, Y Han, X Li Asian Conference on Machine Learning, 284-299, 2021 | 1 | 2021 |
| Scene context based semantic segmentation for 3D LiDAR data in dynamic scene J Mei, H Zhao arXiv preprint arXiv:2003.13926, 2020 | 1 | 2020 |
| PHD-NAS: Preserving helpful data to promote Neural Architecture Search S Lu, Y Hu, L Yang, J Mei, Z Sun, J Tan, C Song Neurocomputing 587, 127646, 2024 | | 2024 |
| Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search L Yang, Y Fu, S Lu, Z Sun, J Mei, W Zhao, Y Hu Neural Networks 168, 237-255, 2023 | | 2023 |
| IT-NAS: Integrating Lite-Transformer into NAS for Architecture Seletion Z Sun, Y Hu, L Yang, S Lu, J Mei, Y Han | | 2022 |
| Weighted Regularization for Efficient Neural Network Compression Y Fu, L Yang, J Mei, T Jiang, Y Xing, W Zhao, Y Hu | | 2022 |
| Sweet Gradient Matters: Designing Consistent and Efficient Estimator for Zero-Shot Neural Architecture Search L Yang, Y Fu, S Lu, Z Sun, J Mei, W Zhao, Y Hu | | 2022 |
