Semi-supervised emotional classification of color images by learning from cloud. - Na Li; Yong Xia 001; Yuwei Xia (ACII, 2015)

MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features. - Xiao Ma 001; Fu Shen; Yan Jia; Yuwei Xia; Qihua Li; Jianping Lu (BMC Medical Imaging, 2019)

A Path Planning Method Based on Improved Single Player-Monte Carlo Tree Search. - Yuwei Xia; Chao Yang 043; Bing-Qiu Chen (IEEE Access, 2020)

Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models. - Zhihui Li; Xiao Ma 001; Fu Shen; Haidi Lu; Yuwei Xia; Jianping Lu (BMC Medical Imaging, 2021)

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. - Yuwei Xia; Mengqi Zhang; Qiang Liu 006; Shu Wu; Xiaoyu Zhang 002 (EMNLP, 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; et al. (BMC Medical Imaging, 2022)

Learning Latent Relations for Temporal Knowledge Graph Reasoning. - Mengqi Zhang; Yuwei Xia; Qiang Liu 006; Shu Wu; Liang Wang 001 (ACL (1), 2023)

Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. - Mengqi Zhang; Yuwei Xia; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2023)

Image Generation and Recognition for Railway Surface Defect Detection. - Yuwei Xia; Sang Wook Han; Hyock Ju Kwon (Sensors, 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 001; Yuwei Xia; Qing Zhou; et al. (J. Digit. Imaging, 2023)

Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting. - Yuwei Xia; Ding Wang; Qiang Liu 006; Liang Wang 056; Shu Wu; Xiaoyu Zhang 002 (ACL (Findings), 2024)

Semantics Fusion of Hierarchical Transformers for Multimodal Named Entity Recognition. - Zhao Tong; Qiang Liu 006; Haichao Shi; Yuwei Xia; Shu Wu; Xiaoyu Zhang 002 (ICIC (LNAI 3), 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 001; Qing Zhou; Fei Yu; Xiaojing He; Shike Wang; Chuanming Li (Comput. Biol. Medicine, 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 010; Yuwei Xia; Mengmeng Zhao; Feng Shi 001; Cong Shen; Xiaoyi Duan (Comput. Biol. Medicine, 2024)

Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. - Yuwei Xia; Ding Wang; Qiang Liu 006; Liang Wang 001; Shu Wu; Xiaoyu Zhang 002 (CoRR, 2024)

MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. - Yuwei Xia; Mengqi Zhang; Qiang Liu 006; Liang Wang 056; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (Pattern Recognit., 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, 2024)

MPE3: Learning meta-prompt with entity-enhanced semantics for few-shot named entity recognition. - Yuwei Xia; Zhao Tong; Liang Wang 001; Qiang Liu 006; Shu Wu; Xiaoyu Zhang 002 (Neurocomputing, 2025)

Power Line Detection From Bottom Up Based on the Characteristic Keypoint. - Yuwei Xia; Jie Xiao; Jiawei Liao; Haitao Xu; Mei Wang; Xia Fang (IEEE Trans. Instrum. Meas., 2025)

Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics. - Tie Deng; Junbang Feng; Xingyan Le; Yuwei Xia; Feng Shi 001; Fei Yu; Yiqiang Zhan; Xinghua Liu; Chuanming Li (BMC Medical Imaging, 2025)

A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images. - Fanxing Meng; Tuo Zhang; Yukun Pan; Xiaojing Kan; Yuwei Xia; Mengyuan Xu; Jin Cai; Fangbin Liu; Yinghui Ge (BMC Medical Imaging, 2025)