| An In-field Automatic Wheat Disease Diagnosis System J Lu, J Hu, C Zhao, Guannan, Mei, Fenghua, Zhang Computers and Electronics in Agriculture 2017 (142PA), 369-379, 2017 | 410 | 2017 |
| Learning from very few samples: A survey J Lu, P Gong, J Ye, C Zhang arXiv preprint arXiv:2009.02653 1, 2020 | 174 | 2020 |
| Zero-shot handwritten Chinese character recognition with hierarchical decomposition embedding Z Cao, J Lu, S Cui, C Zhang Pattern Recognition 107, 107488, 2020 | 91 | 2020 |
| Robust few-shot learning for user-provided data J Lu, S Jin, J Liang, C Zhang IEEE transactions on neural networks and learning systems 32 (4), 1433-1447, 2020 | 62 | 2020 |
| A survey on machine learning from few samples J Lu, P Gong, J Ye, J Zhang, C Zhang Pattern Recognition 139, 109480, 2023 | 38 | 2023 |
| Zero-shot learning by generating pseudo feature representations J Lu, J Li, Z Yan, C Zhang arXiv preprint arXiv:1703.06389, 2017 | 25 | 2017 |
| Attribute-Based Synthetic Network (ABS-Net): Learning More From Pseudo Feature Representations J Lu, J Li, Z Yan, F Mei, C Zhang Pattern Recognition 80, Pages 129–142, 2018 | 23 | 2018 |
| Boosting few-shot image recognition via domain alignment prototypical networks J Lu, Z Cao, K Wu, G Zhang, C Zhang 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 15 | 2018 |
| Leaf vein segmentation with self-supervision L Li, W Hu, J Lu, C Zhang Computers and Electronics in Agriculture 203, 107352, 2022 | 13 | 2022 |
| Self-reinforcing unsupervised matching J Lu, L Li, C Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4404-4418, 2021 | 5 | 2021 |
| 浅析深度学习在未来水面无人艇平台的应用 钱正芳， 陆江， 孙小帅 中国造船 61 (S01), 6-13, 2020 | 1 | 2020 |
| Reusability report: exploring the utility of variational graph encoders for predicting molecular toxicity in drug design R Li, J Lu, Z Liu, D Yi, M Wan, Y Zhang, P Zan, S He, X Bo Nature Machine Intelligence, 1-10, 2024 | | 2024 |
| Meta-Modulation: A General Learning Framework for Cross-Task Adaptation J Lu, C Xiao, C Zhang IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| A survey on machine learning from few samples J Lu, P Gong, J Ye, J Zhang, C Zhang Pattern Recognition 139 (109480), 2023 | | 2023 |
| A Theory of Self-Supervised Framework for Few-Shot Learning Z Cao, J Lu, J Liang, C Zhang | | |
Changshui ZhangDept. Automation, Tsinghua University, Beijing, ChinaE-mail confirmado em mail.tsinghua.edu.cn