Ronald X. Xu

According to our database, Ronald X. Xu authored at least 23 papers between 2021 and 2026.

Collaborative distances:

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

2026

Keyframe-Guided Structured Rewards for Reinforcement Learning in Long-Horizon Laboratory Robotics.

Yibo Qiu, Shu'ang Sun, Haoliang Ye, Ronald X. Xu, Mingzhai Sun

CoRR, March, 2026

A proxy-enhanced and margin-adaptive contrastive learning method for skin lesion diagnosis.

Di Xin, Peng Yao, Chi Zhang, Shuwei Shen, Zhiping Wang, Zhaoheng Han, Yang Shi, Pengfei Shao, Mingzhai Sun, Ronald X. Xu

Biomed. Signal Process. Control., 2026

THOR: A Theta-Gamma Hierarchical Oscillatory Reasoning Framework for Multi-hop QA.

Ziyang Ling, Ronald X. Xu, Mingzhai Sun

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

BioMARS: A Multi-Agent Robotic System for Autonomous Biological Experiments.

Yibo Qiu, Zan Huang, Zhiyu Wang, Handi Liu, Yiling Qiao, Yifeng Hu, Shu'ang Sun, Hangke Peng, Ronald X. Xu, Mingzhai Sun

CoRR, July, 2025

DMCA-Net: Dual-branch multi-granularity hierarchical contrast and cross-attention network for cervical abnormal cell detection.

Zhiping Wang, Peng Yao, Shuwei Shen, Pengfei Shao, Wei Ren, Liang Zeng, Mingzhai Sun, Ronald X. Xu

Neural Networks, 2025

DCST: Dual Cross-Supervision for Transformer-based Unsupervised Domain Adaptation.

Yi Cheng, Peng Yao, Liang Xu, Mingxiao Chen, Peng Liu, Pengfei Shao, Shuwei Shen, Ronald X. Xu

Neural Networks, 2025

Resource-efficient instruction tuning of large language models for biomedical named entity recognition.

Hui Liu, Ziyi Chen, Peilin Li, Yuan-Zhi Liu, Xiangtao Liu, Ronald X. Xu, Mingzhai Sun

J. Biomed. Informatics, 2025

Unpaired Fundus Image Enhancement Using Image Decomposition.

Kun Chen, Yu Ye, Huazhu Fu, Yuhao Luo, Ronald X. Xu, Mingzhai Sun

IET Image Process., 2025

MCPA: multi-scale cross perceptron attention network for 2D medical image segmentation.

Liang Xu, Mingxiao Chen, Yi Cheng, Pengwu Song, Pengfei Shao, Shuwei Shen, Peng Yao, Ronald X. Xu

Complex Intell. Syst., 2025

Label-free prediction of vascular connectivity in perfused microvascular networks in vitro.

Liang Xu, Pengwu Song, Shilu Zhu, Yang Zhang, Ru Zhang, Zhiyuan Zheng, Qingdong Zhang, Jie Gao, Chen Han, Mingzhai Sun, Peng Yao, Min Ye, Ronald X. Xu

Comput. Methods Programs Biomed., 2025

HARP: Harmonization and Adaptive Refinement of Pseudo-labels for Cross-Domain Medical Image Segmentation.

Yulong Liu, Wenqing Ye, Hui Liu, Ziyi Chen, Peilin Li, Ronald X. Xu, Mingzhai Sun

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Refining Dataset Distillation via Critical Region Selection and Multiview Teacher Guidance.

Wenqing Ye, Xinyu Li, Hui Liu, Di Wu, Xiaoyan Sun, Ronald X. Xu, Mingzhai Sun

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection.

Zheng Zhang, Peng Yao, Mingxiao Chen, Liang Zeng, Pengfei Shao, Shuwei Shen, Ronald X. Xu

IEEE J. Biomed. Health Informatics, June, 2024

Edge-Guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data.

Jicheng Liu, Hui Liu, Huazhu Fu, Yu Ye, Kun Chen, Yu Lu, Jianbo Mao, Ronald X. Xu, Mingzhai Sun

IEEE Trans. Medical Imaging, March, 2024

Correction: Phased progressive learning with coupling-regulation-imbalance loss for imbalanced data classification.

Liang Xu, Yi Cheng, Fan Zhang, Bingxuan Wu, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu

Neural Comput. Appl., 2024

Phased progressive learning with coupling-regulation-imbalance loss for imbalanced data classification.

Liang Xu, Yi Cheng, Fan Zhang, Bingxuan Wu, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu

Neural Comput. Appl., 2024

Semantic uncertainty Guided Cross-Transformer for enhanced macular edema segmentation in OCT images.

Hui Liu, Wenteng Gao, Lei Yang, Di Wu, Dehan Zhao, Kun Chen, Jicheng Liu, Yu Ye, Ronald X. Xu, Mingzhai Sun

Comput. Biol. Medicine, 2024

Spectral reconstruction of fundus images using retinex-based semantic spectral separation transformer, applied for retinal oximetry.

Jicheng Liu, Wenteng Gao, Dehan Zhao, Lei Yang, Peng Liu, Ronald X. Xu, Mingzhai Sun

Biomed. Signal Process. Control., 2024

2023

MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation.

Liang Xu, Mingxiao Chen, Yi Cheng, Pengfei Shao, Shuwei Shen, Peng Yao, Ronald X. Xu

CoRR, 2023

2022

Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification.

Peng Yao, Shuwei Shen, Mengjuan Xu, Peng Liu, Fan Zhang, Jinyu Xing, Pengfei Shao, Benjamin Kaffenberger, Ronald X. Xu

IEEE Trans. Medical Imaging, 2022

Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification.

Liang Xu, Yi Cheng, Fan Zhang, Bingxuan Wu, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu

CoRR, 2022

2021

An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization.

Fan Zhang, Bo Pan, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu

CoRR, 2021

Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification.

Shuwei Shen, Mengjuan Xu, Fan Zhang, Pengfei Shao, Honghong Liu, Liang Xu, Chi Zhang, Peng Liu, Zhihong Zhang, Peng Yao, Ronald X. Xu

CoRR, 2021