Meng Xu

According to our database, Meng Xu authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language Models.

Zhiyuan Jiang, Weihao Hong, Xinlei Guan, Tejaswi Dhandu, Miles Q. Li, Meng Xu, Kuan Huang, Umamaheswara Rao Tida, Bingyu Shen, Daehan Kwak, Boyang Li

CoRR, April, 2026

Toward Accountable AI-Generated Content on Social Platforms: Steganographic Attribution and Multimodal Harm Detection.

Xinlei Guan, David Arosemena, Tejaswi Dhandu, Kuan Huang, Meng Xu, Miles Q. Li, Bingyu Shen, Ruiyang Qin, Umamaheswara Rao Tida, Boyang Li

CoRR, April, 2026

Using Adversarial Training to Improve Uncertainty Quantification.

Kuan Huang, Meng Xu, Yingfeng Wang

IEEE Trans. Artif. Intell., January, 2026

Tone Matters: The Impact of Linguistic Tone on Hallucination in VLMs.

Weihao Hong, Zhiyuan Jiang, Bingyu Shen, Xinlei Guan, Yangyi Feng, Meng Xu, Boyang Li

CoRR, January, 2026

2025

When Fine-Tuning is Not Enough: Lessons from HSAD on Hybrid and Adversarial Audio Spoof Detection.

Bin Hu, Kunyang Huang, Daehan Kwak, Meng Xu, Kuan Huang

CoRR, September, 2025

EffTEE: Efficient Image Classification and Object Detection on Mobile Devices Using Trusted Execution Environments.

Bin Hu, Junyong You, Kuan Huang, Meng Xu, Dan Liu, Sugang Ma

IEEE Access, 2025

Anatosegnet: Anatomy Based CNN-Transformer Network for Enhanced Breast Ultrasound Image Segmentation.

Meng Xu, Yingfeng Wang, Kuan Huang

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Segmenting What Matters: A Dual Stage Active Learning Framework for Weakly Supervised Breast Ultrasound Segmentation.

Nuojunxi Zhang, Meng Xu, Guanchao Tong, Kuan Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Online Block-Level Data Augmentation for Medical Image Classification.

Kuan Huang, Yongxiang Wan, Jianhua Huang, Meng Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Incorporating Tumor Edge Information for Fine-Grained BI-RADS Classification of Breast Ultrasound Images.

Meng Xu, Jianhua Huang, Kuan Huang, Feifei Liu

IEEE Access, 2024

2023

A Regional-Attentive Multi-Task Learning Framework for Breast Ultrasound Image Segmentation and Classification.

Meng Xu, Kuan Huang, Xiaojun Qi

IEEE Access, 2023

CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images.

Jianhua Huang, Kuan Huang, Meng Xu, Feifei Liu

Proceedings of the Computer Vision Systems: 14th International Conference, 2023

2022

Multi-Task Learning with Context-Oriented Self-Attention for Breast Ultrasound Image Classification and Segmentation.

Meng Xu, Kuan Huang, Xiaojun Qi

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Deep Active Learning Framework with Information Guided Label Generation for Medical Image Segmentation.

Kuan Huang, Jianhua Huang, Weichen Wang, Meng Xu, Feifei Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Mssa-Net: Multi-Scale Self-Attention Network For Breast Ultrasound Image Segmentation.

Meng Xu, Kuan Huang, Qiuxiao Chen, Xiaojun Qi

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

NGMMs: Neutrosophic Gaussian Mixture Models for Breast Ultrasound Image Classification.

Kuan Huang, Meng Xu, Xiaojun Qi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Sparse Activation Maps for Interpreting 3D Object Detection.

Qiuxiao Chen, Pengfei Li, Meng Xu, Xiaojun Qi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021