Adaptive Energy Control Strategy for a Hybrid Energy Storage System in a DC Micro-Grid of an Unmanned Surface Vehicle. - Zhongjiu Zheng; Yujia Xu; Ning Wang 002; Hong Zhao (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Amorphous polymerization of nitrogen in compressed cupric azide. - Yujia Xu; Weijing Zhang; Tonglai Zhang; Wei Guo 041; Yongjun Lü (J. Comput. Chem., 2020)

Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method. - Guangyu Jia; Hak-Keung Lam; Yujia Xu (Comput. Biol. Medicine, 2021)

A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques. - Junkai Liao; Hak-Keung Lam; Guangyu Jia; Shraddha Gulati; Julius E. Bernth; Dmytro Poliyivets; Yujia Xu; Hongbin Liu 001; Bu Hayee (Neurocomputing, 2021)

MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images. - Yujia Xu; Hak-Keung Lam; Guangyu Jia (Neurocomputing, 2021)

Paroxysmal Atrial Fibrillation Detection by Combined Recurrent Neural Network and Feature Extraction on ECG Signals. - Xinqi Bao; Fenghe Hu; Yujia Xu; Mohamed Trabelsi 001; Ernest Nlandu Kamavuako (BIOSIGNALS, 2022)

Hierarchical Multi-Scale Convolutional Network for Murmurs Detection on PCG Signals. - Yujia Xu; Xinqi Bao; Hak-Keung Lam; Ernest Nlandu Kamavuako (CinC, 2022)

Time-Frequency Distributions of Heart Sound Signals: A Comparative Study using Convolutional Neural Networks. - Xinqi Bao; Yujia Xu; Hak-Keung Lam; Mohamed Trabelsi 001; Ines Chihi; Lilia Sidhom; Ernest Nlandu Kamavuako (CoRR, 2022)

The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach. - Xinqi Bao; Yujia Xu; Ernest Nlandu Kamavuako (Sensors, 2022)

Development and Application of Non-Destructive Testing Instrument for Wall Impermeability Based on a Water Drenching Method. - Jun Fu 006; Yujia Xu; Yumeng Shi (Symmetry, 2022)

UAV Agile Navigation Method for Unknown Environment via Deep Reinforcement Learning. - Yujia Xu; Botao Zhang; Fan Yang 049; Jiayu Chai; Qiang Lu 001; Youngjin Choi (IECON, 2023)

Improving COVID-19 CT classification of CNNs by learning parameter-efficient representation. - Yujia Xu; Hak-Keung Lam; Guangyu Jia; Jian Jiang; Junkai Liao; Xinqi Bao (Comput. Biol. Medicine, 2023)

Multi-task learning framework to predict the status of central venous catheter based on radiographs. - Yuhan Wang; Hak-Keung Lam; Yujia Xu; Faliang Yin; Kun Qian 009 (Artif. Intell. Medicine, 2023)

Gradient Descent Algorithm for Quadrotor Safe Path Planning in Complex Environments. - Xinyu Wu; Fan Yang 049; Botao Zhang; Qiang Lu 001; Yujia Xu; Zhifei Wu; Chenglong Wang; Changjia Liu (ASCC, 2024)

A method for detecting hands off the steering wheel. - Yujia Xu; Deyu Pan; Ling Ding (MMAsia, 2024)

Exploring a novel HE image segmentation technique for glioblastoma: A hybrid slime mould and differential evolution approach. - Hongliang Guo; Hanbo Liu; Hong Zhu; Mingyang Li; Helong Yu; Yun Zhu; Xiaoxiao Chen; Yujia Xu; Lianxing Gao; Qiongying Zhang; Yangping Shentu (Comput. Biol. Medicine, 2024)

Learning group-wise spatial attention and label dependencies for multi-task thoracic disease classification. - Yujia Xu; Hak-Keung Lam; Xinqi Bao; Yuhan Wang (Neurocomputing, 2024)

Swarm intelligence enhanced machine learning model for predicting prognostic outcome in IgA Nephropathy patients with mild proteinuria. - Yaozhe Ying; Shuqing Ma; Luhui Wang; Xiaoxiao Chen; Xiaohan Chen; Yun Zhu; Yujia Xu; Chenfei Zheng; Yangping Shentu; Yunting Wang; Bo Chen; Ji Zhang; et al. (Biomed. Signal Process. Control., 2025)

Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment. - Yinzhu Quan; Yujia Xu; Guanlin Chen; Frédérick Bénaben; Benoît Montreuil (CoRR, 2025)

RepText: Rendering Visual Text via Replicating. - Haofan Wang; Yujia Xu; Yimeng Li; Junchen Li; Chaowei Zhang; Jing Wang; Kejia Yang; Zhibo Chen 011 (CoRR, 2025)