Yingxue Xu

According to our database, Yingxue Xu authored at least 23 papers between 2004 and 2025.

Collaborative distances:

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

2025

A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model.

Zhe Xu, Ziyi Liu, Junlin Hou, Jiabo Ma, Cheng Jin, Yihui Wang, Zhixuan Chen, Zhengyu Zhang, Zhengrui Guo, Fengtao Zhou, Yingxue Xu, Xi Wang, Ronald Cheong Kin Chan, Li Liang, Hao Chen

CoRR, July, 2025

Genome-Anchored Foundation Model Embeddings Improve Molecular Prediction from Histology Images.

Cheng Jin, Fengtao Zhou, Yunfang Yu, Jiabo Ma, Yihui Wang, Yingxue Xu, Huajun Zhou, Hao Jiang, Luyang Luo, Luhui Mao, Zifan He, Xiuming Zhang, Jing Zhang, Ronald Cheong Kin Chan, Herui Yao, Hao Chen

CoRR, June, 2025

Histo-Genomic Knowledge Association for Cancer Prognosis From Histopathology Whole Slide Images.

Zhikang Wang, Yumeng Zhang, Yingxue Xu, Seiya Imoto, Hao Chen, Jiangning Song

IEEE Trans. Medical Imaging, May, 2025

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology.

Jiabo Ma, Yingxue Xu, Fengtao Zhou, Yihui Wang, Cheng Jin, Zhengrui Guo, Jianfeng Wu, On Ki Tang, Huajun Zhou, Xi Wang, Luyang Luo, Zhengyu Zhang, Du Cai, Zizhao Gao, Wei Wang, Yueping Liu, Jiankun He, Jing Cui, Zhenhui Li, Jing Zhang, Feng Gao, Xiuming Zhang, Li Liang, Ronald Cheong Kin Chan, Zhe Wang, Hao Chen

CoRR, May, 2025

Distilled Prompt Learning for Incomplete Multimodal Survival Prediction.

Yingxue Xu, Fengtao Zhou, Chenyu Zhao, Yihui Wang, Can Yang, Hao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation.

Yingxue Xu, Guihua Wen, Yang Hu, Pei Yang

IEEE Trans. Circuits Syst. Video Technol., September, 2024

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.

Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Li Liang, Ronald Cheong Kin Chan, Jiguang Wang, Kwang-Ting Cheng, Hao Chen

CoRR, 2024

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model.

Yingxue Xu, Yihui Wang, Fengtao Zhou, Jiabo Ma, Shu Yang, Huangjing Lin, Xin Wang, Jiguang Wang, Li Liang, Anjia Han, Ronald Cheong Kin Chan, Hao Chen

CoRR, 2024

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions.

Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen

CoRR, 2024

iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer.

Fengtao Zhou, Yingxue Xu, Yanfen Cui, Shenyan Zhang, Yun Zhu, Weiyang He, Jiguang Wang, Xin Wang, Ronald Chan, Louis Ho Shing Lau, Chu Han, Dafu Zhang, Zhenhui Li, Hao Chen

CoRR, 2024

Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images.

Zhikang Wang, Yumeng Zhang, Yingxue Xu, Seiya Imoto, Hao Chen, Jiangning Song

CoRR, 2024

HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-Modal Context Interaction.

Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction.

Yilan Zhang, Yingxue Xu, Jianqi Chen, Fengying Xie, Hao Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction.

Yingxue Xu, Hao Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition.

Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall

IEEE Trans. Multim., 2022

Task-Coupling Elastic Learning for Physical Sign-Based Medical Image Classification.

Yingxue Xu, Guihua Wen, Pei Yang, Baochao Fan, Yang Hu, Mingnan Luo, Changjun Wang

IEEE J. Biomed. Health Informatics, 2022

Unsupervised Domain Adaptation via Deep Hierarchical Optimal Transport.

Yingxue Xu, Guihua Wen, Yang Hu, Pei Yang

CoRR, 2022

2021

MVANet: Multi-Task Guided Multi-View Attention Network for Chinese Food Recognition.

Haozan Liang, Guihua Wen, Yang Hu, Mingnan Luo, Pei Yang, Yingxue Xu

IEEE Trans. Multim., 2021

Multiple attentional pyramid networks for Chinese herbal recognition.

Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang, Wendy Hall

Pattern Recognit., 2021

2020

Stochastic region pooling: Make attention more expressive.

Mingnan Luo, Guihua Wen, Yang Hu, Dan Dai, Yingxue Xu

Neurocomputing, 2020

Semantic Graph-enhanced Visual Network for Zero-shot Learning.

Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall

CoRR, 2020

2018

Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features.

Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang

CoRR, 2018

2004

Statistical leakage current reduction in high-leakage environments using locality of block activation in time domain.

Jin-Hyeok Choi, Yingxue Xu, Takayasu Sakurai

IEEE J. Solid State Circuits, 2004