| 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 | 139 | 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 | 69 | 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 | 30 | 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 | 21 | 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 | 19 | 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, 2023 | 17 | 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 | 11 | 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 | 3 | 2023 |
| MultiQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization Y Zhong, M Lin, Y Zhou, M Chen, Y Zhang, F Chao, R Ji arXiv preprint arXiv:2305.08117, 2023 | 2 | 2023 |
| 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 | 1 | 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 | 1 | 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 | 1 | 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 | 1 | 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 | 1 | 2022 |
| 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 | 1 | 2022 |
| 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 |
| 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, 0 | | |
| Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks (Supplementary Material) Y Zhong, M Lin, X Li, K Li, Y Shen, F Chao, Y Wu, R Ji | | |
| SpQAT: A Sparse Quantization-Aware Training Method Y Zhong, M Lin, G Nan, F Chao, R Ji | | |
Rongrong Ji 纪荣嵘Professor, Xiamen University在 xmu.edu.cn 的电子邮件经过验证
Rongrong Ji 纪荣嵘Professor, Xiamen University在 xmu.edu.cn 的电子邮件经过验证
Mingbao LinKunlun 2050 Research & Skywork AI在 kunlun-inc.com 的电子邮件经过验证
Ke Li (李珂)Tencent在 tencent.com 的电子邮件经过验证