Hi, my name is Shuang Zeng, welcome to my homepage. I received my bachelor’s degree in Engineering from Peking University, Beijing, China in 2021. Currently, I am a Biomedical Engineering joint Ph.D. student of Peking University - Georgia Institute of Technology - Emory University. I am very fortunate to be advised by Prof. Qiushi Ren in MILab from College of Future Technology, PKU and Prof. May Dongmei Wang in Bio-MIBLab from Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University. My research interest mainly focuses on self-supervised contrastive learning, Large Language Models, explainable AI and medical image processing. Welcome to reach out to me for communication and cooperation!

🔥 News

• 2026.1.17: My paper titled “SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training” is accepted by top journal IEEE Transactions on Image Processing.

• 2025.12.9: My paper titled “Improve retinal artery/vein classification via channel coupling” is accepted by Expert Systems With Applications.

• 2025.9.24: I have been selected for the IEEE BHI 2025 NSF-EMBS-Google Sponsored Young Professional NextGen Scholar Recognition.

• 2025.9.18: 4 one-page Abstract papers are accepted by IEEE BHI 2025 conference as poster representation.

• 2025.9.2: My paper titled “Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation” is accepted by Image and Vision Computing.

• 2025.6.1
  

  I gave a presentation about my work (SuperCL) as a student participant at 22nd NSF International Summer Leadership Academy on Bio-X: AI in Healthcare, Medicine and Biology.

• 2025.5.29:
  the 33rd "Challenge Cup" May Fourth Youth Science Award Comeptition of Peking University

  

  I won the First Prize of the 33rd “Challenge Cup” May Fourth Youth Science Award Competition of Peking University.

• 2025.3.20:
  

  I am honored to be selected to receive a fellowship to attend the 22nd NSF International Summer Leadership Academy on Bio-X: AI in Healthcare, Medicine and Biology on the lovely Mediterranean Island of Rhodes, Greece from May 27th - June 2nd, 2025.

• 2025.2.27:
  AAAI (Assocaition for the Advancement of Artificial Intelligence) 2025, Pennsylvania Convention Center, Philadelphia

  

  I attended AAAI 2025 conference as a co-author from Feb. 25th to Mar. 4th.

• 2025.2.6:
  CRIDC (Career, Research, and Innovation Development Conference) 2025, Gatech, ATL

  

  I really appreciate to have the chance to attend CRIDC 2025 poster competition at Georgia Institute of Technology, Atlanta, USA.

📝 Publications

Journal Articles

• Shuang Zeng et al. SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training (IEEE Transactions on Image Processing, IF: 13.7)
• Shuang Zeng et al. Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training (IEEE Journal of Biomedical and Health Informatics， Major Revision, IF: 6.8)
• Shuang Zeng et al. Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation, (Image and Vision Computing, IF: 4.2)
• Shuang Zeng et al. Improve Retinal Artery/Vein Classification via Channel Coupling (Expert Systems With Applications, IF: 7.5)
• Kaiwen Li, Hangzhou He, Shuang Zeng et al. Points-supervised Fundus Vessel Segmentation via Shape Priors and Contrastive Learning (TMI, IF: 9.8)
• Xinliang Zhang, Lei Zhu, Shuang Zeng et al. Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation
• Bin Qiu, Shuang Zeng et al. Comparative study of deep neural networks with unsupervised Noise2Noise strategy for noise reduction of optical coherence tomography images, (Journal of Biophotonics, IF: 2.00)
• Wenbo Zhang, Junmeng Li, Lei Zhu, Shuang Zeng et al. Choroidal Vascularity Index and Choroidal Structural Changes in Children With Nephrotic Syndrome, (TVST, IF: 2.6)
• Lei Zhu, Xinliang Zhang, Hangzhou He, Qian Chen, Sha Li, Shuang Zeng et al. Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation (TNNLS, IF: 10.2)
• Lei Zhu, Junmeng Li, Yicheng Hu, Ruilin Zhu, Shuang Zeng et al. Choroidal Optical Coherence Tomography Angiography: Noninvasive Choroidal Vessel Analysis via Deep Learning (Health Data Science)
• Junmeng Li, Bei Rong, Lei Zhu, Ruilin Zhu, Xin Rong, Yuwei Wang, Yadi Zhang, Xiaopeng Gu, Shuang Zeng et al. One-Month Changes in Choroidal Vascularity Index of Medium Vessel Layer in Children with Myopia Wearing Orthokeratology Lenses: a Predictor for One-Year Changes in Axial Length (Opthalmology and Therapy)

Conference Proceedings

• Shuang Zeng et al. [RADA: Region-Aware Dual-encoder Auxiliary Learning for Barely-supervised Medical Image Segmentation]
• Yixin Chen, Xiangxi Meng, Yan Wang, Shuang Zeng et al. LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation MICCAI 2024
• Qian Chen, Lei Zhu, Hangzhou He, Xinliang Zhang, Shuang Zeng et al. Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation MICCAI 2024
• Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng et al. V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer AAAI 2025
• Shuang Zeng et al. Medical Imaging Informatics - Multi-level Asymmetric Contrastive Learning for Enhancing Segmentation IEEE BHI 2025 1-page Abstracts
• Shuang Zeng et al. Superpixel-Aware Contrastive Pre-training for Medical Image Segmentation IEEE BHI 2025 1-page Abstracts
• Yuxing Lu, Goi Sin Yee, Shuang Zeng et al. Assessing Large Language Models for Metabolomics IEEE BHI 2025 1-page Abstracts
• Yuxing Lu, Goi Sin Yee, Shuang Zeng et al. MultiMed-RAG: Leveraging Multi-Source Knowledge and Agent Collaboration for Medical Tasks IEEE BHI 2025 1-page Abstracts
• Ourui Fu, Hangzhou He, Xinliang Zhang, Lei Zhu, Shuang Zeng et al. I^2R: Inter and Intra-image Refinement in Few Shot Segmentation
• Yuxing Lu, Xukai Zhao, J. Ben Tao, Micky C. Nnamdi, Rui Peng, Shuang Zeng et al. MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics

Patents

• 一种基于多层级非对称对比学习的医学图像分割方法，曾爽；卢闫晔

🎖 Honors and Awards

• 2019.6, “Shuyu Xia - Topaz Cen” Undergraduate Internship Scholarship
• 2019.12, Award for Scientific Research of Peking University
• 2019.12, The Third Prize of Peking University Scholarship
• 2020.12, Merit Student of Peking University
• 2020.12, Leo Kaiyuan Scholarship
• 2021.6, Outstanding Undergraduate Scientific Research Program of School of Engineering, Peking University
• 2021.6, Excellent Graduate of Peking University
• 2022.12, Award for Science Research of Peking University
• 2023.12, Award for Contribution in Student Organizations of Peking University
• 2024.5, Outstanding Communist Youth League Member of Peking University
• 2024.6, The Third Prize of the 32nd “Challenge Cup” May Fourth Youth Science Award Competition of Peking University
• 2024.10 BMEJ fellowship award of Georgia Institute of Technology
• 2024.12, The Third Prize of Peking University Scholarship
• 2024.12, Award for Science Research of Peking University
• 2025.3，NSF fellowship to attend the 22nd International Summer Academy on AI in Healthcare, Medicine and Biology
• 2025.6, The First Prize of the 33rd “Challenge Cup” May Fourth Youth Science Award Competition of Peking University
• 2025.6, The Third Prize of the 33rd “Challenge Cup” May Fourth Youth Science Award Competition of Peking University
• 2025.9, IEEE BHI 2025 NSF-EMBS-Google Sponsored Young Professional NextGen Scholar Recognition

📖 Educations

• 2024.08 - now, Ph.D. student in Bio-MIBLab, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology (Joint GT-Emory-PKU Ph.D. program).
• 2021.09 - now, Ph.D. student in MILab, Biomedical Engineering, College of Future Technology, Peking University
• 2017.09 - 2021.07, Bachelor in Biomedical Engineering, College of Engineering, Peking University
• IEEE Journal JBHI reviewer
• IEEE conference BHI reviewer
• CVPR 2026 reviewer