A survey on few-shot class-incremental learning S Tian, L Li, W Li, H Ran, X Ning, P Tiwari Neural Networks 169, 307-324, 2024 | 104 | 2024 |
Continuous transfer of neural network representational similarity for incremental learning S Tian, W Li, X Ning, H Ran, H Qin, P Tiwari Neurocomputing 545, 126300, 2023 | 51 | 2023 |
3D human pose and shape estimation via de-occlusion multi-task learning H Ran, X Ning, W Li, M Hao, P Tiwari Neurocomputing 548, 126284, 2023 | 20 | 2023 |
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning H Ran, W Li, L Li, S Tian, X Ning, P Tiwari Information Processing & Management 61 (3), 103664, 2024 | 19 | 2024 |
Brain-Inspired Fast-and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning H Ran, X Gao, L Li, W Li, S Tian, G Wang, H Shi, X Ning IEEE transactions on neural networks and learning systems, 2024 | 7 | 2024 |
Maize hybrid seed purity identification based on near infrared reflectance (NIR) and transmittance (NIT) spectra TX Li, SQ Jia, X Liu, SY Zhao, H Ran, YL Yan, D An Guang pu xue yu Guang pu fen xi= Guang pu 35 (12), 3388-3392, 2015 | 7 | 2015 |
Pl-fscil: Harnessing the power of prompts for few-shot class-incremental learning S Tian, L Li, W Li, H Ran, L Li, X Ning arXiv preprint arXiv:2401.14807, 2024 | 6 | 2024 |
Identification of maize seed purity based on spectral images of a small amount of near infrared bands R Hang, C Yong-jin, J Zhao-xi, Y Yan-lu, A Dong SPECTROSCOPY AND SPECTRAL ANALYSIS 37 (9), 2743-2750, 2017 | 5 | 2017 |
Study of modeling samples selection method based on near infrared spectrum ZX Jin, XJ Zhang, FY Luo, D An, SY Zhao, H Ran, YL Yan Guang pu xue yu Guang pu fen xi= Guang pu 36 (12), 3920-3925, 2016 | 4 | 2016 |
Study on the Influence on Maize Hybrid Identification Based on Different Intensity of High Strength and High Efficiency Near-Infrared Light Z Sheng-yi, R Hang, J Zhao-xi, C Yong-jin, Y Yan-lu, A Dong. SPECTROSCOPY AND SPECTRAL ANALYSIS 37 (5), 1386-1390, 2017 | | 2017 |