| Deep learning for vibrational spectral analysis: Recent progress and a practical guide J Yang, J Xu, X Zhang, C Wu, T Lin, Y Ying Analytica chimica acta 1081, 6-17, 2019 | 265 | 2019 |
| Food and agro-product quality evaluation based on spectroscopy and deep learning: A review X Zhang, J Yang, T Lin, Y Ying Trends in Food Science & Technology 112, 431-441, 2021 | 149 | 2021 |
| Towards interpreting multi-temporal deep learning models in crop mapping J Xu, J Yang, X Xiong, H Li, J Huang, KC Ting, Y Ying, T Lin Remote Sensing of Environment 264, 112599, 2021 | 125 | 2021 |
| Understanding the learning mechanism of convolutional neural networks in spectral analysis X Zhang, J Xu, J Yang, L Chen, H Zhou, X Liu, H Li, T Lin, Y Ying Analytica Chimica Acta 1119, 41-51, 2020 | 111 | 2020 |
| An interpretable deep learning approach for calibration transfer among multiple near-infrared instruments J Yang, J Li, J Hu, W Yang, X Zhang, J Xu, Y Zhang, X Luo, KC Ting, T Lin, ... Computers and Electronics in Agriculture 192, 106584, 2022 | 33 | 2022 |
| Enhancing model robustness through different optimization methods and 1-D CNN to eliminate the variations in size and detection position for apple SSC determination Y Zheng, Y Cao, J Yang, L Xie Postharvest Biology and Technology 205, 112513, 2023 | 22 | 2023 |
| A deep learning approach to improving spectral analysis of fruit quality under interseason variation J Yang, X Luo, X Zhang, D Passos, L Xie, X Rao, H Xu, KC Ting, T Lin, ... Food Control 140, 109108, 2022 | 21 | 2022 |
| Advanced chemometrics toward robust spectral analysis for fruit quality evaluation X Zhang, J Yang Trends in Food Science & Technology, 104612, 2024 | 13 | 2024 |
| Using knowledge-guided temperature correction for online non-destructive detection of soluble solids content in pear via Vis/NIR spectroscopy Z Sun, J Yang, D Hu, H Tian, Y Ying, L Xie Postharvest Biology and Technology 218, 113178, 2024 | 6 | 2024 |
| Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks E He, Y Xie, A Sun, J Zwart, J Yang, Z Jin, Y Wang, H Karimi, X Jia Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22087 …, 2024 | 4 | 2024 |
| Enhancing spectroscopy-based fruit quality control: A knowledge-guided machine learning approach to reduce model uncertainty J Yang, Z Sun, S Tian, H Jiang, J Feng, KC Ting, T Lin, Y Ying Postharvest Biology and Technology 216, 113009, 2024 | 2 | 2024 |
| Integration of harvester trajectory and satellite imagery for large-scale winter wheat mapping using deep positive and unlabeled learning X Xiong, J Yang, R Zhong, J Dong, J Huang, KC Ting, Y Ying, T Lin Computers and Electronics in Agriculture 216, 108487, 2024 | 2 | 2024 |
| Integrating deep learning and data fusion for enhanced oranges soluble solids content prediction using machine vision and Vis/NIR spectroscopy Z Sun, H Tian, D Hu, J Yang, L Xie, H Xu, Y Ying Food Chemistry 464, 141488, 2025 | 1 | 2025 |
| Knowledge-guided temperature correction method for soluble solids content detection of watermelon based on Vis/NIR spectroscopy Z Sun, J Yang, Y Yao, D Hu, Y Ying, J Guo, L Xie Artificial Intelligence in Agriculture, 2025 | | 2025 |
| CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs S Wang, C Chen, X Le, Q Xu, L Xu, Y Zhang, J Yang arXiv preprint arXiv:2412.19663, 2024 | | 2024 |
Tao LinZhejiang UniversityVerified email at zju.edu.cn
