| HRank: Filter Pruning using High-Rank Feature Map M Lin, R Ji, Y Wang, Y Zhang, B Zhang, Y Tian, L Shao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1529-1538, 2020 | 849 | 2020 |
| Channel Pruning via Automatic Structure Search M Lin, R Ji, Y Zhang, B Zhang, Y Wu, Y Tian International Joint Conference on Artificial Intelligence (IJCAI), 673-679, 2020 | 276 | 2020 |
| Rotated Binary Neural Network M Lin, R Ji, Z Xu, B Zhang, Y Wang, Y Wu, F Huang, CW Lin Advances in Neural Information Processing Systems (NeurIPS), 7474-7485, 2020 | 139 | 2020 |
| SeqTR: A Simple yet Universal Network for Visual Grounding C Zhu, Y Zhou, Y Shen, G Luo, X Pan, M Lin, C Chen, L Cao, X Sun, R Ji European Conference on Computer Vision (ECCV), 598-615, 2022 | 109 | 2022 |
| Filter Sketch for Network Pruning M Lin, L Cao, S Li, Q Ye, Y Tian, J Liu, Q Tian, R Ji IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 33 (12 …, 2021 | 93 | 2021 |
| ReCU: Reviving the Dead Weights in Binary Neural Networks Z Xu, M Lin, J Liu, J Chen, L Shao, Y Gao, Y Tian, R Ji International Conference on Computer Vision (ICCV), 5198-5208, 2021 | 88 | 2021 |
| Supervised Online Hashing via Hadamard Codebook Learning M Lin, R Ji, H Liu, Y Wu ACM International Conference on Multimedia (MM), 1635-1643, 2018 | 72 | 2018 |
| IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Y Zhong, M Lin, G Nan, J Liu, B Zhang, Y Tian, R Ji IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12339 …, 2022 | 67 | 2022 |
| Network Pruning Using Adaptive Exemplar Filters M Lin, R Ji, S Li, Y Wang, Y Wu, F Huang, Q Ye IEEE Transactions on Neural Networks and Learning System (TNNLS) 33 (12 …, 2021 | 60 | 2021 |
| Carrying Out CNN Channel Pruning in a White Box Y Zhang, M Lin, CW Lin, J Chen, Y Wu, Y Tian, R Ji IEEE Transactions on Neural Networks and Learning System (TNNLS) 34 (10 …, 2022 | 57 | 2022 |
| Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters M Lin, L Cao, Y Zhang, L Shao, CW Lin, R Ji IEEE Transactions on Neural Networks and Learning System (TNNLS) 34 (11 …, 2022 | 56 | 2022 |
| Towards Optimal Discrete Online Hashing with Balanced Similarity M Lin, R Ji, H Liu, X Sun, Y Wu, Y Wu Association for the Advancement of Artificial Intelligence (AAAI), 8722-8729, 2019 | 56 | 2019 |
| 1xN Pattern for Pruning Convolutional Neural Networks M Lin, Y Zhang, Y Li, B Chen, F Chao, M Wang, S Li, Y Tian, R Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 45 (4 …, 2022 | 48 | 2022 |
| Similarity-Preserving Linkage Hashing for Online Image Retrieval M Lin, R Ji, S Chen, X Sun, CW Lin IEEE Transactions on Image Processing (TIP) 29, 5289-5300, 2020 | 48 | 2020 |
| CF-ViT: A General Coarse-to-Fine Method for Vision Transformer M Chen, M Lin, K Li, Y Shen, Y Wu, F Chao, R Ji Association for the Advancement of Artificial Intelligence (AAAI), 7042-7052, 2023 | 45 | 2023 |
| Learning Best Combination for Efficient N: M Sparsity Y Zhang, M Lin, Z Lin, Y Luo, K Li, F Chao, Y Wu, R Ji Advances in Neural Information Processing Systems (NeurIPS), 941-953, 2022 | 43 | 2022 |
| Hadamard Matrix Guided Online Hashing M Lin, R Ji, H Liu, X Sun, S Chen, Q Tian International Journal of Computer Vision (IJCV) 128 (08), 2279-2306, 2020 | 41 | 2020 |
| Dense Auto-Encoder Hashing for Robust Cross-Modality Retrieval H Liu, M Lin, S Zhang, Y Wu, F Huang, R Ji ACM International Conference on Multimedia (MM), 1589-1597, 2018 | 40 | 2018 |
| Distilling a Powerful Student Model via Online Knowledge Distillation S Li, M Lin, Y Wang, Y Wu, Y Tian, L Shao, R Ji IEEE Transactions on Neural Networks and Learning System (TNNLS) 34 (11 …, 2022 | 38 | 2022 |
| Dynamic Support Network for Few-shot Class Incremental Learning B Yang, M Lin, Y Zhang, B Liu, X Liang, R Ji, Q Ye IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 45 (3 …, 2022 | 37 | 2022 |
Rongrong Ji 纪荣嵘Professor, Xiamen University在 xmu.edu.cn 的电子邮件经过验证
