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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
awards
projects
National Natural Science Foundation of China (NSFC) – Young Scientists Fund
Research On The Multi-Modal Breast Cancer Auxiliary Diagnosis Based On The Causal Chain-Of-Thought In-The-Loop
China Postdoctoral Science Foundation – General Program
Causal Mechanism-Driven Interpretable and Generalizable Breast Cancer auxiliary Diagnosis
Guangdong Basic and Applied Basic Research Foundation – Regional Joint Fund - Youth Project
Domain Knowledge and Causal Mechanism Integration for Breast Cancer Diagnosis under Imbalanced Multimodal Scenarios
Fundamental Research Funds for the Central Universities
Key Technologies for Breast Ultrasound Video-Based Computer-Aided Diagnosis Integrating Medical Domain Knowledge
publications
Breast ultrasound image classification and segmentation using convolutional neural networks
Published in Pacific Rim Conference on Multimedia, 2018
Recommended citation: Xiaozheng Xie, Faqiang Shi, Jianwei Niu, and Xiaolan Tang. "Breast ultrasound image classification and segmentation using convolutional neural networks." Pacific rim conference on multimedia. 2018: 200-211.
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Crowd behavior simulation with emotional contagion in unexpected multihazard situations
Published in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
ESI Highly Cited Paper!!!
Recommended citation: Mingliang Xu, Xiaozheng Xie, Pei Lv, Jianwei Niu, Hua Wang, Chaochao Li, Ruijie Zhu, Zhigang Deng, Bing Zhou. (2021). "Crowd behavior simulation with emotional contagion in unexpected multihazard situations." IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51(3): 1567-1581.
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A survey on incorporating domain knowledge into deep learning for medical image analysis
Published in Medical Image Analysis, 2021
ESI Highly Cited Paper!!!
Recommended citation: Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Zhengsu Chen, Shaojie Tang, and Shui Yu. (2021). "A survey on incorporating domain knowledge into deep learning for medical image analysis." Medical Image Analysis. 69: 101985.
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DK-consistency: A domain knowledge guided consistency regularization method for semi-supervised breast cancer diagnosis
Published in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
Recommended citation: Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Yong Wang, and Shaojie Tang. "DK-consistency: A domain knowledge guided consistency regularization method for semi-supervised breast cancer diagnosis." IEEE international conference on bioinformatics and biomedicine (BIBM). 2021: 3435-3442.
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DG-CNN: Introducing margin information into convolutional neural networks for breast cancer diagnosis in ultrasound images
Published in Journal of Computer Science and Technology, 2022
Recommended citation: Xiaozheng Xie, Jianwei Niu, Xuefeng Liu and Qingfeng Li, Yong Wang, Jie Han, and Shaojie Tang. (2022). "DG-CNN: Introducing margin information into convolutional neural networks for breast cancer diagnosis in ultrasound images." Journal of Computer Science and Technology. 37(2): 277-294.
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IMAN: An Iterative Mutual-Aid Network for Breast Lesion Segmentation on Multi-modal Ultrasound Images
Published in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
Recommended citation: Xiaozheng Xie, Chen Chen, Xuefeng Liu, Yong Wang, Rui Wang, and Jianwei Niu. "IMAN: An Iterative Mutual-Aid Network for Breast Lesion Segmentation on Multi-modal Ultrasound Images." IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023: 3954-3961.
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A domain knowledge powered hybrid regularization strategy for semi-supervised breast cancer diagnosis
Published in Expert Systems with Applications, 2024
Recommended citation: Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Yong Wang, Qingfeng Li, and Shaojie Tang. (2024). "A domain knowledge powered hybrid regularization strategy for semi-supervised breast cancer diagnosis." Expert Systems with Applications. 122897(243).
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Guidednet: Semi-supervised multi-organ segmentation via labeled data guide unlabeled data
Published in Proceedings of the 32nd ACM International Conference on Multimedia, 2024
Recommended citation: Haochen Zhao, Hui Meng, Deqian Yang, Xiaozheng Xie, Xiaoze Wu, Qingfeng Li, and Jianwei Niu. "Guidednet: Semi-supervised multi-organ segmentation via labeled data guide unlabeled data." Proceedings of the 32nd ACM International Conference on Multimedia. 2024: 886-895.
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Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study
Published in Cancer Imaging, 2025
Recommended citation: Jie Han, Yuanjing Gao, Ling Huo, Dong Wang, Xiaozheng Xie, Rui Zhang, Mengsu Xiao, Nan Zhang, Meng Lei, Quanlin Wu, Lu Ma, Chao Sun, Xinyi Wang, Lei Liu, Shuzhen Cheng, Binghui Tang, Liwei Wang, Qingli Zhu, and Yong Wang. (2025). "Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study." Cancer Imaging. 25(1): 75.
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Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation
Published in IEEE International Conference on Computer Vision, 2025
Recommended citation: Haochen Zhao, Jianwei Niu, Xuefeng Liu, Xiaozheng Xie, Hui Meng, and Yong Wang. (2025). "Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation." IEEE International Conference on Computer Vision. 2025: 21832-21842.
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talks
Talk on BIBM 2023
Published:
teaching
Discrete Mathematics
Undergraduate course, University of Science and Technology Beijing, School of Computer and Communication Engineering, 2024
Discrete Mathematics
Undergraduate course, University of Science and Technology Beijing, School of Computer and Communication Engineering, 2025