About me

• I am a PhD student at University of Electronic Science and Technology of China 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
• UESTC Second-Class Outstanding Student Scholarship, 30%. 2025.10

Experiences

• 2025.09-now, Shanghai AI Lab, Intern. Pathology multimodal large language model, vision foundation model, MLLM post-training.
• 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

• SUDA: Simultaneous Unsupervised Knowledge Distillation and Adaptation of Foundation Models for Efficient Pathological Image Analysis
  Lanfeng Zhong, Kun Qian, Weiren Zhao, Tian Shen, Shan Xu, Jianming Li, and Guotai Wang
  Medical Image Analysis (2026).

• 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).

• DGHFA: Dynamic Gradient and Hierarchical Feature Alignment for Robust Distillation of Medical VLMs
  Boyi Xiao, Jianghao Wu, Lanfeng Zhong, Xiaoguang Zou, Yuanquan Wu, Guotai Wang, Shaoting Zhang
  MICCAI 2025.

• SUGFW: A SAM-Based Uncertainty-Guided Feature Weighting Framework for Cold Start Active Learning
  Xiaochuan Ma, Jia Fu, Lanfeng Zhong, Ning Zhu, Guotai Wang
  MICCAI 2025.

• CSAL-3D: Cold-Start Active Learning for 3D Medical Image Segmentation via SSL-Driven Uncertainty-Reinforced Diversity Sampling
  Ning Zhu, Ping Ye, Lanfeng Zhong, Qiang Yue, Shaoting Zhang, Guotai Wang
  MICCAI 2025. Best paper shortlist