About me

• I am a PhD student at University of Electronic Science and Technology of China and Shanghai AI Lab from 2024/09, under the supervision of Guotai Wang and Shaoting Zhang. Major in medical image analysis.
• I received Bachelor’s Degree at University of Electronic Science and Technology of China in 2022. Major in Electronic Engineering.

Reward

• UESTC Academic Seedling Award, 4/210. 2024.04
• National Scholarship, 9/426. 2023.10
• UESTC First-Class Outstanding Student Scholarship, 20%. 2020.10, 2022.10, 2023.10

Experiences

• 2025.09-now, Shanghai AI Lab, Intern.
• 2023.09-2024.08, Shanghai AI Lab, Smart Healthcare, Intern. Focus on pathology foundation model for downstream tasks.
• 2022.06-2022.09, West China Hospital Big Data Disease Center, Research Assistant.

Publications

• VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Annotation-Free Pathological Image Classification
  Lanfeng Zhong, Zongyao Huang, Yang Liu, Wenjun Liao, Shichuan Zhang, Guotai Wang, and Shaoting Zhang
  IEEE Transactions on Medical Imaging (2025, IF=9.8).

• UniSAL: Unified Semi-Supervised Active Learning for Histopathological Image Classification
  Lanfeng Zhong, Kun Qian, Xin Liao, Zongyao Huang, Yang Liu, Shaoting Zhang, and Guotai Wang
  Medical Image Analysis (2025, IF=11.8).

• Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency
  Lanfeng Zhong, Xiangde Luo, Xin Liao, Shaoting Zhang, and Guotai Wang
  Pattern Recognition (2024, IF=7.5).

• HAMIL: High-resolution activation maps and interleaved learning for weakly supervised segmentation of histopathological images
  Lanfeng Zhong, Guotai Wang, Xin Liao, and Shaoting Zhang
  IEEE Transactions on Medical Imaging (2023, IF=10.6).

• Efficient Multi-Organ Segmentation from 3D Abdominal CT Images with Lightweight Network and Knowledge Distillation
  Qianfei Zhao*, Lanfeng Zhong*, Jianghong Xiao, Jingbo Zhang, Yinan Chen, Wenjun Liao, Shaoting Zhang, and Guotai Wang
  IEEE Transactions on Medical Imaging (2023, IF=10.6). (The first two authors contributed equally.)

• OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
  Lanfeng Zhong, Xin Liao, Shichuan Zhang, Shaoting Zhang, and Guotai Wang
  MICCAI 2025, early accept, 9%

• Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions
  Lanfeng Zhong, Xin Liao, Shaoting Zhang, and Guotai Wang
  MICCAI 2023, early accept, 14%

• SEMI-CONTRANS: Semi-Supervised Medical Image Segmentation via Multi-Scale Feature Fusion and Cross Teaching of CNN and Transformer
  Weiren Zhao*, Lanfeng Zhong*, Guotai Wang
  ISBI 2024, Oral

• MetaSSL: A General Heterogeneous Loss for Semi-Supervised Medical Image Segmentation
  Weiren Zhao, Lanfeng Zhong, Xin Liao, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, and Guotai Wang
  IEEE Transactions on Medical Imaging (2025, IF=9.8).