| Transrefer3D: Entity-and-relation aware transformer for fine-grained 3d visual grounding D He*, Y Zhao*, J Luo*, T Hui, S Huang, A Zhang, S Liu (MM'21) ACM International Conference on Multimedia, 2021 | 53 | 2021 |
| 3D-SPS: Single-stage 3D visual grounding via referred point progressive selection J Luo*, J Fu*, X Kong, C Gao, H Ren, H Shen, H Xia, S Liu (CVPR'22 Oral) IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 37* | 2022 |
| Accelerating CNN training by pruning activation gradients X Ye, P Dai, J Luo, X Guo, Y Qi, J Yang, Y Chen ECCV'20, 2020 | 37 | 2020 |
| SparseTrain: Exploiting dataflow sparsity for efficient convolutional neural networks training P Dai, J Yang, X Ye, X Cheng, J Luo, L Song, Y Chen, W Zhao (DAC'20) ACM/IEEE Design Automation Conference, 2020 | 28 | 2020 |
| FedSkel: efficient federated learning on heterogeneous systems with skeleton gradients update J Luo, J Yang, X Ye, X Guo, W Zhao (CIKM'21) ACM International Conference on Information & Knowledge Management, 2021 | 10 | 2021 |
| A survey of data-efficient graph learning W Ju, S Yi, Y Wang, Q Long, J Luo, Z Xiao, M Zhang arXiv preprint arXiv:2402.00447, 2024 | 2 | 2024 |
Jianlei YangBeihang UniversityVerified email at buaa.edu.cn
