Libin Lan （兰利彬）

Libin Lan received his B.S. degree in computer science and technology from Chongqing University of Posts and Telecommunications, in 2008, his M.S. (Advisor: Prof. Chengliang Wang) and Ph.D. (Advisor: Prof. Chunxiao Ye) degrees in computer science from Chongqing University, in 2011 and 2021 respectively. He is currently a Lecturer with the Chongqing University of Technology, and a postdoctoral researcher with the College of Computer Science, Chongqing University, working with Prof. Zhongshi He. His research falls in the areas of medical image analysis, multimodal machine learning, medical vision-language models, and medical foundation models. His current research interests focus on efficient medical vision transformer, medical multimodal alignment and fusion, parameter-efficient fine-tuning techniques, medical multi-task learning, as well as open-vocabulary and visual grounding.
Dr. Libin Lan serves as the reviewer of many top-tier journals, such as IEEE TCSS/TPAMI/TIP/JAS/TMI/TETCI/TNNLS/TMM/TBME/JBHI/TCI/TII/TITS/TCSVT/ TCDS/TGRS/TCE/SMCA/IoT/TAI/SENSL/TRPMS/SPL, Springer MMSJ/FCS, Wiley IMA/IET CV/IET IP/RCS/CIT/COIN, Taylor&Francis TIJR/TMET/GNTE, ACM TKDD/TOMM, and Elsevier BSPC.

Email: lanlbn@cqut.edu.cn
Office: Rm B208, Laboratory Building No.1, CQUT Huaxi Campus
Address: No. 69, Hongguang Avenue, Banan District, Chongqing 400054, China

Related Links: [ResearchGate] [DBLP] [Google Scholar] [GitHub] [ORCID] [ZhiHu] [中文]

Research Team

Professor: Xin Luo
Professor: Chengliang Wang
Professor: Yongmei Li
Professor: Yudong Zhang
Assistant Professor: Tianshu Yu
Lecturer: Xiaojuan Liu

^NEW 04/10/2025: 2025级研究生已招满，感谢各位同学的信任，勿需再邮件联系。
^NEW 课题组每年均招收学硕、专硕，招收要求：1) 较好的高考语文成绩以及较好的英语阅读和写作能力，最基本要求希望能过大学英语四级，非常欢迎过六级的同学联系我；2) 较好的数学基础（考研数学成绩学硕应该在70分以上，专硕应该在90分以上），熟悉微积分、线代、优化、概率论等数学知识； 3) 较好的代码实现能力，熟悉主要程序设计语言，特别是Python语言；4）本科专业为计算机、人工智能、软件、网络、自动化、电子、通信、数学等优先；5）课题组仅招收男生； 6）有正确的三观和正常的行为；躺、摆、混者，勿来，来了受罪；组上原则上不允许校外实习：毕业后至少可以工作30年，那时候请好好对待自己的工作；研究生的主要任务是学习、做好科研，这是做为学生履行学习责任的基本要求。欢迎感兴趣的同学，加入机器学习与计算机视觉（Smart）团队。

Service and Activities

Memberships

CCF Member, 2012-
IEEE Member, 2019-

Journal Reviewer

IEEE Transactions on Big Data
IEEE Transactions on Computational Social Systems
IEEE/CAA Journal of Automatica Sinica
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Medical Imaging
IEEE Transactions on Computational Imaging
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Journal of Biomedical and Health Informatics
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Biomedical Engineering
IEEE Transactions on Emerging Topics in Computational Intelligence
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Multimedia
IEEE Transactions on Systems, Man and Cybernetics: Systems
IEEE Internet of Things Journal
IEEE Transactions on Cognitive and Developmental Systems
IEEE Transactions on Industrial Informatics
IEEE Transactions on Consumer Electronics
IEEE Transactions on Radiation and Plasma Medical Sciences
IEEE Transactions on Artificial Intelligence
...

Selected Publications

2025

Lu Jiang and Libin Lan
MVS-SupCon: Multimodal Video Summarization with Supervised Contrastive Learning
International Conference on Image Processing and Intelligent Control (IPIC)
Zunhui Xia, Hongxing Li, and Libin Lan
TCSAFormer: Efficient Vision Transformer with Token Compression and Sparse Attention for Medical Image Segmentation
International Journal of Imaging Systems and Technology (IMA), 36(2): 1-15
[PDF] [Code] [arXiv Link]
Zunhui Xia, Hongxing Li, and Libin Lan
MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention
Physics in Medicine and Biology (PMB), 70(19): Article 195005
[PDF] [Code] [arXiv Link]
Libin Lan, Hongxing Li, Zunhui Xia, and Yudong Zhang
DMAF-Net: An Effective Modality Rebalancing Framework for Incomplete Multi-Modal Medical Image Segmentation
arXiv:2506.11691
[PDF] [Code]
Libin Lan, Hongxing Li, Zunhui Xia, Juan Zhou, Xiaofei Zhu, Yongmei Li, Yudong Zhang, and Xin Luo
Cross-Modal Clustering-Guided Negative Sampling for Self-Supervised Joint Learning from Medical Images and Reports
arXiv:2506.11674
[PDF] [Code]
Libin Lan, Yanxin Li, Xiaojuan Liu, Juan Zhou, Jianxun Zhang, Nannan Huang, and Yudong Zhang
MSLAU-Net: A Hybrid CNN-Transformer Network for Medical Image Segmentation
arXiv:2505.18823
[PDF] [Code]
Ruining Deng, ..., Pengzhou Cai, Libin Lan, Ze Zhao, ..., Yuankai Huo
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level (Submitted to MedIA for possible publication)
arXiv:2502.07288
[PDF]
Pengzhou Cai, Xueyuan Zhang, Xiaowen Wang, Baolin Du, Libin Lan, and Ze Zhao
A Robust Deep Learning Method for WSI-Level Diseased Glomeruli Segmentation
International Conference on Medical Image Computing and Computer Assisted Intervention Workshop on MOVI 2024 (MICCAI Workshop on MOVI 2024)
[Code]
Libin Lan, Lu Jiang, Tianshu Yu, Xiaojuan Liu, and Zhongshi He
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), Early Access
[PDF] [Code] [arXiv Link]
Jieyun Bai, Zihao Zhou, ..., Pengzhou Cai, Lu Jiang, Libin Lan, ..., Yaosheng Lu, and Karim Lekadir
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images
Medical Image Analysis (MedIA), 99: Article 103353
[PDF] [Code]
Pengzhou Cai, Lu Jiang, Yanxin Li, Xiaojuan Liu, and Libin Lan
Pubic Symphysis-Fetal Head Segmentation Network Using BiFormer Attention Mechanism and Multipath Dilated Convolution
International Conference on MultiMedia Modeling (MMM)
[PDF] [Code]

2024

Zunhui Xia, Hongxing Li, and Libin Lan
DSSAU-Net: U-Shaped Hybrid Network for Pubic Symphysis and Fetal Head Segmentation
International Conference on Medical Image Computing and Computer Assisted Intervention Workshop on IUGC 2024 (MICCAI Workshop on IUGC 2024)
[PDF] [Code]
Xiaojuan Liu, Cong Xiang, Libin Lan, Chuan Li, Hanguang Xiao, and Zhi Liu
Lesion Region Inpainting: An Approach for Pseudo-Healthy Image Synthesis in Intracranial Infection Imaging
Frontiers in Microbiology (FMICB), 15: Article 1453870
Lin Ma, Junjie Wang, Shu Gong, Libin Lan, Li Geng, Siping Wang, and Xin Feng
Self-Supervised Context-Aware Correlation Filter for Robust Landmark Tracking in Liver Ultrasound Sequences
Biomedical Engineering/Biomedizinische Technik (BMT), 69(4): 383-394
[PDF]
Pengzhou Cai, Xueyuan Zhang, Libin Lan, and Ze Zhao
Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation using Rein to Fine-tune Vision Foundation Models
arXiv:2409.11752
[Link]
Libin Lan, Pengzhou Cai, Lu Jiang, Xiaojuan Liu, Yongmei Li, and Yudong Zhang
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation
arXiv:2401.00722
[PDF] [Code]

2023

Libin Lan, Chunxiao Ye, Chao Liao, Chengliang Wang, and Xin Feng
De-redundancy in Wireless Capsule Endoscopy Video Sequences Using Correspondence Matching and Motion Analysis
Multimedia Tools and Applications (MTAP), 83: 21171–21195
[PDF]
Pengzhou Cai, Lu Jiang, Yanxin Li, and Libin Lan
Pubic Symphysis-Fetal Head Segmentation Using Pure Transformer with Bi-level Routing Attention
arXiv:2310.00289
[Link]

2022

Xin Feng, Haoming Wu, Yihao Yin, and Libin Lan
CGTracker: Center Graph Network for One-Stage Multi-Pedestrian-Object Detection and Tracking
Journal of Computer Science and Technology (JCST), 37: 626–640

2021

Chao Liao, Chengliang Wang, Jianying Bai, Libin Lan, and Xing Wu
Deep Learning for Registration of Region of Interest in Consecutive Wireless Capsule Endoscopy Frames
Computer Methods and Programs in Biomedicine (CMPB), 208: Article 106189
Libin Lan and Chunxiao Ye
Recurrent Generative Adversarial Networks for Unsupervised WCE Video Summarization
Knowledge-Based Systems (KBS), 222: Article 106971
[PDF]

2019

Libin Lan, Chunxiao Ye, Chengliang Wang, and Shangbo Zhou
Deep Convolutional Neural Networks for WCE Abnormality Detection: CNN Architecture, Region Proposal and Transfer Learning
IEEE Access, 7: 30017-30032

Current and Former Students

Hui Wan
Master's student (2025-2028)
Email: huiwan@stu.cqut.edu.cn
Mei Wang
Master's student (2024-2027)
Email: wm.mumei@stu.cqut.edu.cn
Minghui Li
Master's student (2024-2027)
Email: minghui.li@stu.cqut.edu.cn
Yanxin Li
Master's student (2023-2026)
Email: yanxin.li@stu.cqut.edu.cn
Hongxing Li
Master's student (2023-2026)
Email: hongxing.li@stu.cqut.edu.cn
Zunhui Xia
Master's student (2023-2026)
Email: zunhui.xia@stu.cqut.edu.cn
Will leave for China Mobile
Pengzhou Cai
Master's student (2022-2025)
Email: pengzhou.cai@stu.cqut.edu.cn
Leave for Institute of Clinical Pathology, West China Hospital, Sichuan University
Lu Jiang
Master's student (2022-2025)
Email: bdml_jl@stu.cqut.edu.cn
Leave for SINOPEC

Libin Lan （兰利彬）

Research Team

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Selected Publications

Current and Former Students