| 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 …, 2021 | 254 | 2021 |
| Carrying out CNN Channel Pruning in a White Box Y Zhang, M Lin, CW Lin, J Chen, F Huang, Y Wu, Y Tian, R Ji IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022 | 47 | 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 Systems (IEEE TNNLS), 2022 | 45 | 2022 |
| 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 (IEEE TPAMI), 2022 | 44 | 2022 |
| Learning Best Combination for Efficient N:M Sparsity Y Zhang, M Lin, Z Lin, Y Luo, K Li, F Chao, Y Wu, R Ji Neural Information Processing Systems (NeurIPS), 2022 | 34 | 2022 |
| Super Vision Transformer M Lin, M Chen, Y Zhang, C Shen, R Ji, L Cao International Journal of Computer Vision (IJCV), 2022 | 24 | 2022 |
| Lottery Jackpots Exist in Pre-trained Models Y Zhang, M Lin, Y Zhong, F Chao, R Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023 | 12 | 2023 |
| OptG: Optimizing Gradient-driven Criteria in Network Sparsity Y Zhang, M Lin, M Chen, F Chao, R Ji arXiv preprint arXiv:2201.12826, 2022 | 10* | 2022 |
| Real-Time Image Demoireing on Mobile Devices Y Zhang, M Lin, X Li, H Liu, G Wang, F Chao, S Ren, Y Wen, X Chen, R Ji International Conference on Learning Representations (ICLR), 2023 | 8 | 2023 |
| Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs Y Zhang, L Zhao, M Lin, Y Sun, Y Yao, X Han, J Tanner, S Liu, R Ji International Conference on Learning Representations (ICLR), 2024 | 7 | 2024 |
| Bi-directional Masks for Efficient N: M Sparse Training Y Zhang, Y Luo, M Lin, Y Zhong, J Xie, F Chao, R Ji International Conference on Machine Learning (ICML), 2023 | 7 | 2023 |
| SMMix: Self-Motivated Image Mixing for Vision Transformers M Chen, M Lin, ZH Lin, Y Zhang, F Chao, R Ji International Conference on Computer Vison (ICCV), 2023 | 5 | 2023 |
| Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks Y Zhong, M Lin, J Xie, Y Zhang, F Chao, R Ji Science China Information Sciences (SCIS), 2023 | 1 | 2023 |
| Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models G Luo, Y Zhou, Y Zhang, X Zheng, X Sun, R Ji arXiv preprint arXiv:2403.03003, 2024 | | 2024 |
| UniPTS: A Unified Framework for Proficient Post-Training Sparsity J Xie, Y Zhang, M Lin, Z Lin, L Cao, R Ji Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | | 2024 |
| DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model L Zhao, Y Yue, K Zhang, W Shao, Y Zhang, Y Qiao, P Luo, R Ji Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | | 2024 |
| Learning Image Demoireing from Unpaired Real Data Z Yunshan, Z Yuyao, Z Yuxin, C Fei, J Rongrong Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024 | | 2024 |
| Spatial Re-parameterization for N:M Sparsity Y Zhang, M Lin, Y Zhong, M Chen, F Chao, R Ji arxiv preprint arXiv:2306.05612, 2023 | | 2023 |
Rongrong Ji 纪荣嵘Professor, Xiamen UniversityVerified email at xmu.edu.cn
