Publications

Journal Publications

• Kuan Huang, Meng Xu, Yingfeng Wang. “Using Adversarial Training to Improve Uncertainty Quantification”, IEEE Transactions on Artificial Intelligence, 2025.[link]
• Bin Hu, Junyong You, Kuan Huang, Meng Xu (corresponding author), Dan Liu, Sugang Ma. “EffTEE: Efficient Image Classification and Object Detection on Mobile Devices Using Trusted Execution Environments”, IEEE Access, 2025. [link]
• Tongyu Wang, Kuan Huang, Meng Xu (corresponding author), Jianhua Huang. “Weakly supervised chest X-ray abnormality localization with non-linear modulation and foreground control”, Scientific Reports, 2024. [link]
• Meng Xu, Jianhua Huang, Kuan Huang, and Feifei Liu. “Incorporating Tumor Edge Information for Fine-Grained BI-RADS Classification of Breast Ultrasound Images.” IEEE Access, 2024. [link]
• Meng Xu, Kuan Huang, and Xiaojun Qi. “A regional-attentive multi-task learning framework for breast ultrasound image segmentation and classification.” IEEE Access, 2023. [link]

Conference Publications

• Meng Xu, Yingfeng Wang, Kuan Huang. “Anatosegnet: Anatomy Based CNN-Transformer Network for Enhanced Breast Ultrasound Image Segmentation.” International Symposium on Biomedical Imaging (ISBI), 2025. [link]
• Kuan Huang, Yingfeng Wang, Meng Xu. “Investigating the Fairness of Deep Learning Models in Breast Cancer Diagnosis Based on Race and Ethnicity.” Proceedings of the AAAI Symposium Series, 2024. [link]
• Jianhua Huang, Kuan Huang, Meng Xu, and Feifei Liu. “CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images.” International Conference on Computer Vision Systems, 2023. [link]
• Kuan Huang, Jianhua Huang, Weichen Wang, Meng Xu, and Feifei Liu. “A deep active learning framework with information guided label generation for medical image segmentation.” 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. [link]
• Meng Xu, Kuan Huang, and Xiaojun Qi. “Multi-task learning with context-oriented self-attention for breast ultrasound image classification and segmentation.” In 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022. [link]
• Kuan Huang, Meng Xu, and Xiaojun Qi. “NGMMs: Neutrosophic Gaussian mixture models for breast ultrasound image classification.” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021. [link]
• Meng Xu, Kuan Huang, Qiuxiao Chen, and Xiaojun Qi. “Mssa-net: Multi-scale self-attention network for breast ultrasound image segmentation.” 2021 IEEE 18th international symposium on biomedical imaging (ISBI), 2021. [link]
• Qiuxiao Chen, Pengfei Li, Meng Xu, and Xiaojun Qi. “Sparse Activation Maps for Interpreting 3D Object Detection.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021. [link]

Mentored Student Publications

• Maryam Ahmed, Joanna Loja, Kuan Huang, Meng Xu. “Benchmarking the Robustness of Segmentation Methods Against Adversarial Attacks in Breast Ultrasound Segmentation.” International Conference on Computational Science and Computational Intelligence, 2024. [link]
• Armando Mendez, Meng Xu, Kuan Huang. “Multimodal Breast Ultrasound Segmentation: Combining Visual and Clinical Data.” International Conference on Computational Science and Computational Intelligence, 2024. [link]
• Cesar Marte, Meng Xu, Kuan Huang. “Text-Guided Weakly Supervised Segmentation for COVID-19 Detection in X-ray Images.” International Conference on Computational Science and Computational Intelligence, 2024. [link]
• Julio Rodriguez, Kuan Huang and Meng Xu. “Multi-Task Breast Ultrasound Image Classification and Segmentation Using Swin Transformer and VMamba Models.” 2024 the 7th International Conference on Pattern Recognition and Artificial Intelligence, 2024 [link] [code]
• Shazab Ali, Meng Xu, and Daehan Kwak. “Smart Roadway Monitoring: Pothole Detection and Mapping via Google Streetview.” The 25th International Conference on Internet Computing & IoT, 2024. [link]