Yuwei Xia

According to our database, Yuwei Xia authored at least 18 papers between 2015 and 2024.

Collaborative distances:

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

2024

Predicting pathological complete response following neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer using merged model integrating MRI-based radiomics and deep learning data.

Haidi Lu, Yuan Yuan, Minglu Liu, Zhihui Li, Xiaolu Ma, Yuwei Xia, Feng Shi, Yong Lu, Jianping Lu, Fu Shen

BMC Medical Imaging, December, 2024

MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning.

Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang

Pattern Recognit., 2024

Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning.

Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang

CoRR, 2024

Role of [18F]-PSMA-1007 PET radiomics for seminal vesicle invasion prediction in primary prostate cancer.

Liang Luo, Xinyi Wang, Hongjun Xie, Hua Liang, Jungang Gao, Yang Li, Yuwei Xia, Mengmeng Zhao, Feng Shi, Cong Shen, Xiaoyi Duan

Comput. Biol. Medicine, 2024

Automatic detection of cognitive impairment in patients with white matter hyperintensity and causal analysis of related factors using artificial intelligence of MRI.

Junbang Feng, Dongming Hui, Qingqing Zheng, Yi Guo, Yuwei Xia, Feng Shi, Qing Zhou, Fei Yu, Xiaojing He, Shike Wang, Chuanming Li

Comput. Biol. Medicine, 2024

Semantics Fusion of Hierarchical Transformers for Multimodal Named Entity Recognition.

Zhao Tong, Qiang Liu, Haichao Shi, Yuwei Xia, Shu Wu, Xiaoyu Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting.

Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiao-Yu Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Discrimination Between Glioblastoma and Solitary Brain Metastasis Using Conventional MRI and Diffusion-Weighted Imaging Based on a Deep Learning Algorithm.

Qingqing Yan, Fuyan Li, Yi Cui, Yong Wang, Xiao Wang, Wenjing Jia, Xinhui Liu, Yuting Li, Huan Chang, Feng Shi, Yuwei Xia, Qing Zhou, Qingshi Zeng

J. Digit. Imaging, August, 2023

Image Generation and Recognition for Railway Surface Defect Detection.

Yuwei Xia, Sang Wook Han, Hyock Ju Kwon

Sensors, 2023

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning.

Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiao-Yu Zhang

CoRR, 2023

Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning.

Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the ACM Web Conference 2023, 2023

Learning Latent Relations for Temporal Knowledge Graph Reasoning.

Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A CT-based nomogram for differentiating invasive fungal disease of the lung from bacterial pneumonia.

Meilin Gong, Jingmei Xu, Kang Li, Ke Li, Yuwei Xia, Yang Jing, Jiafei Chen, Jing Li, Jing Yang, Mingshan Du, Wenjing Hou, Yuan Ou, Lian Li, Wei Chen

BMC Medical Imaging, 2022

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning.

Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models.

Zhihui Li, Xiao Ma, Fu Shen, Haidi Lu, Yuwei Xia, Jianping Lu

BMC Medical Imaging, 2021

2020

A Path Planning Method Based on Improved Single Player-Monte Carlo Tree Search.

Yuwei Xia, Chao Yang, Bing-Qiu Chen

IEEE Access, 2020

2019

MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features.

Xiao Ma, Fu Shen, Yan Jia, Yuwei Xia, Qihua Li, Jianping Lu

BMC Medical Imaging, 2019

2015

Semi-supervised emotional classification of color images by learning from cloud.

Na Li, Yong Xia, Yuwei Xia

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015