| Convolutional neural networks for automated fracture detection and localization on wrist radiographs YL Thian, Y Li, P Jagmohan, D Sia, VEY Chan, RT Tan Radiology: Artificial Intelligence 1 (1), e180001, 2019 | 188 | 2019 |
| Few-shot object detection via classification refinement and distractor retreatment Y Li, H Zhu, Y Cheng, W Wang, CS Teo, C Xiang, P Vadakkepat, TH Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 87 | 2021 |
| Semi‐supervised learning based on convolutional neural network and uncertainty filter for façade defects classification J Guo, Q Wang, Y Li Computer‐Aided Civil and Infrastructure Engineering 36 (3), 302-317, 2021 | 83 | 2021 |
| Façade defects classification from imbalanced dataset using meta learning‐based convolutional neural network J Guo, Q Wang, Y Li, P Liu Computer‐Aided Civil and Infrastructure Engineering 35 (12), 1403-1418, 2020 | 83 | 2020 |
| Evaluation-oriented façade defects detection using rule-based deep learning method J Guo, Q Wang, Y Li Automation in Construction 131, 103910, 2021 | 32 | 2021 |
| Grasping detection network with uncertainty estimation for confidence-driven semi-supervised domain adaptation H Zhu, Y Li, F Bai, W Chen, X Li, J Ma, CS Teo, PY Tao, W Lin 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 29 | 2020 |
| Certainty-driven consistency loss for semi-supervised learning Y Li, L Liu, RT Tan | 17 | 2019 |
| Informativeness‐guided active learning for deep learning–based façade defects detection J Guo, Q Wang, S Su, Y Li Computer‐Aided Civil and Infrastructure Engineering 38 (17), 2408-2425, 2023 | 15 | 2023 |
| Incremental Few-Shot Object Detection for Robotics Y Li, H Zhu, S Tian, F Feng, J Ma, CS Teo, C Xiang, P Vadakkepat, ... 2022 International Conference on Robotics and Automation (ICRA), 8447-8453, 2022 | 12 | 2022 |
| Towards generalized and incremental few-shot object detection Y Li, H Zhu, J Ma, CS Teo, C Xiang, P Vadakkepat, TH Lee arXiv preprint arXiv:2109.11336, 2021 | 12 | 2021 |
| Promptad: Zero-shot anomaly detection using text prompts Y Li, A Goodge, F Liu, CS Foo Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 8 | 2024 |
| Low-shot Object Detection via Classification Refinement. Y Li, Y Cheng, L Liu, S Tian, H Zhu, C Xiang, P Vadakkepat, CS Teo, ... | 5 | 2020 |
| Bilateral-Head Region-Based Convolutional Neural Networks: a Unified Approach for Incremental Few-Shot Object Detection Y Li, H Zhu, S Tian, J Ma, C Xiang, P Vadakkepat IEEE Transactions on Artificial Intelligence, 2024 | 1 | 2024 |
| Incremental few-shot learning via implanting and consolidating Y Li, H Zhu, J Ma, C Xiang, P Vadakkepat Neurocomputing 559, 126800, 2023 | 1 | 2023 |
Jingjing GuoHunan UniversityVerified email at hnu.edu.cn
