Sparse Activation Maps for Interpreting 3D Object Detection. - Qiuxiao Chen; Pengfei Li 008; Meng Xu 013; Xiaojun Qi 001 (CVPR Workshops, 2021)

NGMMs: Neutrosophic Gaussian Mixture Models for Breast Ultrasound Image Classification. - Kuan Huang; Meng Xu 013; Xiaojun Qi 001 (EMBC, 2021)

Mssa-Net: Multi-Scale Self-Attention Network For Breast Ultrasound Image Segmentation. - Meng Xu 013; Kuan Huang; Qiuxiao Chen; Xiaojun Qi 001 (ISBI, 2021)

A Deep Active Learning Framework with Information Guided Label Generation for Medical Image Segmentation. - Kuan Huang; Jianhua Huang; Weichen Wang; Meng Xu 013; Feifei Liu (BIBM, 2022)

Multi-Task Learning with Context-Oriented Self-Attention for Breast Ultrasound Image Classification and Segmentation. - Meng Xu 013; Kuan Huang; Xiaojun Qi 001 (ISBI, 2022)

CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images. - Jianhua Huang; Kuan Huang; Meng Xu 013; Feifei Liu (ICVS, 2023)

A Regional-Attentive Multi-Task Learning Framework for Breast Ultrasound Image Segmentation and Classification. - Meng Xu 013; Kuan Huang; Xiaojun Qi 001 (IEEE Access, 2023)

Incorporating Tumor Edge Information for Fine-Grained BI-RADS Classification of Breast Ultrasound Images. - Meng Xu 013; Jianhua Huang; Kuan Huang; Feifei Liu (IEEE Access, 2024)

Anatosegnet: Anatomy Based CNN-Transformer Network for Enhanced Breast Ultrasound Image Segmentation. - Meng Xu 013; Yingfeng Wang; Kuan Huang (ISBI, 2025)

EffTEE: Efficient Image Classification and Object Detection on Mobile Devices Using Trusted Execution Environments. - Bin Hu 016; Junyong You; Kuan Huang; Meng Xu 013; Dan Liu; Sugang Ma (IEEE Access, 2025)