Yonghuang Wu

According to our database, Yonghuang Wu authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Prompt Group-Aware Training for Robust Text-Guided Nuclei Segmentation.

Yonghuang Wu, Zhenyang Liang, Wenwen Zeng, Xuan Xie, Jinhua Yu

CoRR, March, 2026

MoEMambaMIL: Structure-Aware Selective State Space Modeling for Whole-Slide Image Analysis.

Dongqing Xie, Yonghuang Wu

CoRR, March, 2026

Imbalanced Multiclassification Challenges in Whole Slide Image: Cross-Patient Pseudo Bags Generation and Curriculum Contrastive Learning With Dynamic Rebalancing.

Yonghuang Wu, Xuan Xie, Chengqian Zhao, Pengfei Song, Feiyu Yin, Guoqing Wu, Jinhua Yu

IEEE Trans. Image Process., 2026

2025

Adaptive Multi-Scale Dynamic Graph Representation Learning With Overlapping Community-Awareness for ASD Classification.

Wenwen Zeng, Feiyu Yin, Pengfei Song, Yonghuang Wu, Chengqian Zhao, Guoqing Wu, Jinhua Yu

IEEE J. Biomed. Health Informatics, December, 2025

CCSD: Cross-Modal Compositional Self-Distillation for Robust Brain Tumor Segmentation with Missing Modalities.

Dongqing Xie, Yonghuang Wu, Zisheng Ai, Jun Min, Zhencun Jiang, Shaojin Geng, Lei Wang

CoRR, November, 2025

MindShot: Multi-Shot Video Reconstruction from fMRI with LLM Decoding.

Wenwen Zeng, Yonghuang Wu, Yifan Chen, Xuan Xie, Chengqian Zhao, Feiyu Yin, Guoqing Wu, Jinhua Yu

CoRR, August, 2025

SAMPO: Visual Preference Optimization for Intent-Aware Segmentation with Vision Foundation Models.

Yonghuang Wu, Wenwen Zeng, Xuan Xie, Chengqian Zhao, Guoqing Wu, Jinhua Yu

CoRR, August, 2025

Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation.

Yonghuang Wu, Guoqing Wu, Jixian Lin, Yuanyuan Wang, Jinhua Yu

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Camelyon17-Prov-GigaPath-Features.

Yonghuang Wu

Dataset, April, 2025

Instance-level Randomization: Toward More Stable LLM Evaluations.

Yiyang Li, Yonghuang Wu, Ying Luo, Liangtai Sun, Zishu Qin, Lin Qiu, Xuezhi Cao, Xunliang Cai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Complex medical image dataset.

Yonghuang Wu

Dataset, July, 2024

Cross-Patient Pseudo Bags Generation and Curriculum Contrastive Learning for Imbalanced Multiclassification of Whole Slide Image.

Yonghuang Wu, Xuan Xie, Xinyuan Niu, Chengqian Zhao, Jinhua Yu

CoRR, 2024

2023

Multi-site, Multi-domain Airway Tree Modeling.

Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu

Medical Image Anal., December, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.

Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu

CoRR, 2023