| Re-id driven localization refinement for person search C Han, J Ye, Y Zhong, X Tan, C Zhang, C Gao, N Sang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 155 | 2019 |
| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 87 | 2022 |
| Re-identification supervised texture generation J Wang, Y Zhong, Y Li, C Zhang, Y Wei Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 34 | 2019 |
| Dynamic dual trainable bounds for ultra-low precision super-resolution networks Y Zhong, M Lin, X Li, K Li, Y Shen, F Chao, Y Wu, R Ji European Conference on Computer Vision, 1-18, 2022 | 28 | 2022 |
| Fine-grained data distribution alignment for post-training quantization Y Zhong, M Lin, M Chen, K Li, Y Shen, F Chao, Y Wu, R Ji European Conference on Computer Vision, 70-86, 2022 | 20 | 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 45 (12 …, 2023 | 19 | 2023 |
| 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, 41488-41497, 2023 | 16 | 2023 |
| I&s-vit: An inclusive & stable method for pushing the limit of post-training vits quantization Y Zhong, J Hu, M Lin, M Chen, R Ji arXiv preprint arXiv:2311.10126, 2023 | 8 | 2023 |
| Cam: Cache merging for memory-efficient llms inference Y Zhang, Y Du, G Luo, Y Zhong, Z Zhang, S Liu, R Ji Forty-first International Conference on Machine Learning, 2024 | 5 | 2024 |
| Erq: Error reduction for post-training quantization of vision transformers Y Zhong, J Hu, Y Huang, Y Zhang, R Ji arXiv preprint arXiv:2407.06794, 2024 | 4 | 2024 |
| Learning image demoiréing from unpaired real data Y Zhong, Y Zhou, Y Zhang, F Chao, R Ji Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7623-7631, 2024 | 4 | 2024 |
| Exploiting the partly scratch-off lottery ticket for quantization-aware training Y Zhong, G Nan, Y Zhang, F Chao, R Ji arXiv preprint arXiv:2211.08544, 2022 | 3 | 2022 |
| MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization Y Zhong, Y Zhou, F Chao, R Ji arXiv preprint arXiv:2305.08117, 2023 | 2 | 2023 |
| Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution Networks Y Zhong, M Lin, J Xie, Y Zhang, F Chao, R Ji arXiv preprint arXiv:2305.05888, 2023 | 2 | 2023 |
| Shadow removal by high-quality shadow synthesis Y Zhong, L You, Y Zhang, F Chao, Y Tian, R Ji arXiv preprint arXiv:2212.04108, 2022 | 2 | 2022 |
| MBQuant: A novel multi-branch topology method for arbitrary bit-width network quantization Y Zhong, Y Zhou, F Chao, R Ji Pattern Recognition 158, 111061, 2025 | 1 | 2025 |
| 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 | 1 | 2023 |
| Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction Y Zhong, Y Huang, J Hu, Y Zhang, R Ji IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | | 2025 |
| Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers Y Zhong, Y Zhou, Y Zhang, S Li, Y Li, F Chao, Z Zeng, R Ji arXiv preprint arXiv:2412.16553, 2024 | | 2024 |
| UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs W Li, M Lin, Y Zhong, S Yan, R Ji arXiv preprint arXiv:2406.18173, 2024 | | 2024 |
Rongrong Ji 纪荣嵘Professor, Xiamen UniversityVerifierad e-postadress på xmu.edu.cn