Xin Zhang

Currently serving as Head of the Department of Artificial Intelligence, Assistant Dean of the School of Electronics and Information, South China University of Technology. Her research interests include Machine Learning, Computer Vision, Intelligent Human-Computer Interaction, and Brain Imaging Data Processing.

From 2018 to 2020, she was sponsored as a visiting scholar at the Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, where she worked on machine learning-based research in Infant Brain Imaging and Neurodevelopmental Disorder Analysis.

📣 Latest News

Jun 26, 2025 1 min read

🎉 Congratulations! Wenxuan Wu’s paper has been accepted by the top conference in computer vision, ICCV! ✨

📢 Congratulations to our lab member Wenxuan Wu, whose paper has been officially accepted by the prestigious conference International Conference on Computer Vision (ICCV)! 🎊

Jun 1, 2025 1 min read

🎉 Congratulations! Jiakun Xu’s paper has been accepted by the top conference in medical image computing, MICCAI! ✨

📢 Congratulations to our lab member Jiakun Xu, whose paper has been officially accepted by the prestigious conference Medical Image Computing and Computer Assisted Intervention (MICCAI)! 🎊

Apr 5, 2025 1 min read

🎉 Congratulations! Jiyu Qian’s paper has been accepted by the top conference on face and gesture recognition! ✨

📢 Congratulations to our lab member Jiyu Qian, whose paper has been officially accepted by the CCFC conference IEEE Conference on Face and Gesture Recognition (FG)! 🎊

Mar 28, 2025 1 min read

🎉 Congratulations to Jiayan Lyu and Ruiyue Chen on their CMIG Paper Acceptance! ✨

📢 Congratulations to Jiayan Lyu and Ruiyue Chen from our lab! Their collaborative paper with The Fifth Affiliated Hospital of Sun Yat-sen University has been officially accepted by the JCR Q1 journal Computerized Medical Imaging and Graphics (CMIG)! 🎊

📑 Latest Publications

Xiong, Tong, Zhang, Xin, Cheng, Jiale, Xu, Xiangmin, Li, Gang (2025). Calibrated multi-view graph learning framework for infant cognitive abilities prediction. In Biomedical Signal Processing and Control.

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Zhang, Wenhao, Zhang, Xin, Li, Lingyi, Liao, Lufan, Zhao, Fenqiang, Zhong, Tao, Pei, Yuchen, Xu, Xiangmin, Yang, Chaoxiang, Zhang, He, Li, Gang (2024). A joint brain extraction and image quality assessment framework for fetal brain MRI slices. In NeuroImage.

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Yin, Zhuowen, Ding, Xinyao, Zhang, Xin, Wu, Zhengwang, Wang, Li, Xu, Xiangmin, Li, Gang (2024). Early autism diagnosis based on path signature and Siamese unsupervised feature compressor. In Cerebral Cortex, CC.

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Tan, Junpeng, Zhang, Xin, Qing, Chunmei, Xu, Xiangmin (2024). Fourier Domain Robust Denoising Decomposition and Adaptive Patch MRI Reconstruction. In IEEE Transactions on Neural Networks and Learning Systems, IEEE T-NNLS.

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🚀 Join Our Lab

Our lab’s research areas include but are not limited to: computer vision, machine learning, medical data analysis (imaging, pathology, genomics, clinical records, etc.), and multi-modal large models.

We welcome new members to join us. Requirements:

Passion for research, clear goals, self-discipline, and motivation
Strong interest in artificial intelligence research
Relevant project experience and programming skills

If interested, please send your CV via email: Click here to send email 😃

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