- master 2022.09-now, UESTC (University of Electronic Science and Technology of China), Mechanical engineering
- bachelor 2018.09-2022.07, UESTC (University of Electronic Science and Technology of China), Electronic engineering
- medical image analysis
- computer vision
- annotation efficient learning
- Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions and Seg-CAM Consistency, L Zhong, Pattern Recognition 2024.
- Semi-ConTrans: Semi-Supervised Medical Image Segmentation via Multi-scale Feature Fusion and Cross Teaching of CNN and Transformer, W Zhao*, L Zhong*, ISBI Oral 2024.
- HAMIL: High-resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images, L Zhong, TMI 2023.
- Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions, L Zhong, MICCAI 2023, early accept (14%).
- Efficient Multi-Organ Segmentation from 3D Abdominal CT Images with Lightweight Network and Knowledge Distillation, Q Zhao*, L Zhong*, TMI 2023.
- A Novel Unsupervised Autoencoder-Based HFOs Detector in Intracranial EEG Signals, W Li*, L Zhong*, W Xiang, ICASSP 2022.
Note: * means co-first author.
- 2023.09-now, Shanghai AI lab. foundation model for pathology images in downstream tasks.
- National scholarship, graduate student, 2023
- First-class scholarship, graduate student, 2023
- First-class scholarship, graduate student, 2022
- First-class scholarship, undergraduate, 2020
- Second-class scholarship, undergraduate, 2019