Xuemei Ding - RankMe

47 papers B 5C 1Journal 31Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GAST-NET: A multi-modal and multi-task deep learning framework for preoperative prediction of perineural invasion and prognostic risk in gastric cancer. Int. J. Medical Informatics Shidi Miao, Hexiang Dong, Jinyang Feng, Yuyang Jiang, Mengzhuo Sun, Zengyao Liu, Qiujun Wang, Xuemei Ding, Ruitao Wang
2026	J	`jnl`	Integrating lesser omentum adipose CT in dual-phase tumor imaging: A multi-label deep learning framework for preoperative microvascular invasion prediction and survival analysis in hepatocellular carcinoma. Comput. Methods Programs Biomed. Shidi Miao, Yuyang Jiang, Lin Zhao, Mingxuan Wang, Mengzhuo Sun, Zengyao Liu, Qiujun Wang, Xuemei Ding, Ruitao Wang
2025	J	`jnl`	Enhancing Computer Professional English Learning: Application Case-Driven Pedagogy. IEEE Trans. Educ. Xuemei Ding, Wenzhao Gao
2025	J	`jnl`	Multi-region nomogram for predicting central lymph node metastasis in papillary thyroid carcinoma using multimodal imaging: A multicenter study. Comput. Methods Programs Biomed. Shidi Miao, Qifan Xuan, Wenjuan Huang, Yuyang Jiang, Mengzhuo Sun, Hongzhuo Qi, Ao Li, Zengyao Liu, Jing Li, Xuemei Ding, Ruitao Wang
2025	J	`jnl`	SCLResNet and DSAF: A self-supervised contrastive learning and deep self-attention fusion-based multimodal network for predicting central lymph node metastasis in papillary thyroid carcinoma. Artif. Intell. Medicine Shidi Miao, Yuyang Jiang, Wenjuan Huang, Yuxin Jiang, Mengzhuo Sun, Mingxuan Wang, Hongzhuo Qi, Ao Li, Zengyao Liu, Qiujun Wang, Ruitao Wang, Xuemei Ding
2024	—	`conf`	A Novel Two-Stage Feature Selection Framework for Efficiently Diagnosing Alzheimer's Disease. DSIT Pinya Lu, Wenzhao Gao, Jie Pan, Hongqin Yang, Xuemei Ding
2024	J	`jnl`	Adaptive Weighted Error-Correction Method Based on the Error Distribution Characteristics of Multi-Channel Alignment. Sensors Peiyu Song, Weibo Wang, Biwei Wu, Limin Zou, Tianpeng Zhan, Jiubin Tan, Xuemei Ding
2024	B	`conf`	Coordinate Attention Based 3D-CNN Using Ghost Multi-Scale for Diagnosing Alzheimer's Disease. IJCNN Xiaolu Lin, Pinya Lu, Jie Pan, Hongqin Yang, Xuemei Ding
2023	—	`conf`	A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers. CCIS Xuemei Ding, Jielei Chu, Jiangtao Hu, Hua Yu, Tianrui Li
2023	J	`jnl`	A hybrid machine learning approach for prediction of conversion from mild cognitive impairment to dementia. Expert Syst. Appl. Magda Bucholc, Sofya Titarenko, Xuemei Ding, Callum Canavan, Tianhua Chen
2023	J	`jnl`	A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease. Int. J. Mach. Learn. Cybern. Shuo Liu, Yi Cao, Junxiu Liu, Xuemei Ding, Damien Coyle
2023	—	`conf`	Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. AICS Mark Gorman, Xuemei Ding, Liam P. Maguire, Damien Coyle
2022	—	`conf`	DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation. CCIS Xuemei Ding, Jielei Chu, Dao Xiang, Tianrui Li
2022	—	`conf`	Multiple Cost Optimisation for Alzheimer's Disease Diagnosis. EMBC Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin, Neuroimaging Initiative
2022	J	`jnl`	Practical Strategies for Extreme Missing Data Imputation in Dementia Diagnosis. IEEE J. Biomed. Health Informatics Niamh McCombe, Shuo Liu, Xuemei Ding, Girijesh Prasad, Magda Bucholc, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin
2021	J	`jnl`	A Hybrid Capsule Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Massoud Khodadadzadeh, Xuemei Ding, Priyanka Chaurasia, Damien Coyle
2021	J	`jnl`	Feasibility of DEIM for retrieving the initial field via dimensionality reduction. J. Comput. Phys. Yuepeng Wang, Xuemei Ding, Kun Hu, Fangxin Fang, I. M. Navon, Guang Lin
2020	J	`jnl`	EEG-Based Emotion Classification Using Spiking Neural Networks. IEEE Access Yuling Luo, Qiang Fu, Juntao Xie, Yunbai Qin, Guopei Wu, Junxiu Liu, Frank Jiang, Yi Cao, Xuemei Ding
2020	J	`jnl`	Predicting feature imputability in the absence of ground truth. CoRR Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean, KongFatt Wong-Lin
2019	J	`jnl`	A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. Expert Syst. Appl. Magda Bucholc, Xuemei Ding, Haiying Wang, David H. Glass, Hui Wang, Girijesh Prasad, Liam P. Maguire, Anthony J. Bjourson, Paula L. McClean, Stephen Todd, David P. Finn, KongFatt Wong-Lin
2019	J	`jnl`	A robust image encryption algorithm based on Chua's circuit and compressive sensing. Signal Process. Yuling Luo, Jia Lin, Junxiu Liu, Duqu Wei, Lvchen Cao, Ronglong Zhou, Yi Cao, Xuemei Ding
2019	J	`jnl`	ECM-IBS: A Chebyshev Map-Based Broadcast Authentication for Wireless Sensor Networks. Int. J. Bifurc. Chaos Yuling Luo, Yunqi Liu, Junxiu Liu, Xue Ouyang, Yi Cao, Xuemei Ding
2019	J	`jnl`	Multi-core SVM optimized visual word package model for garment style classification. Clust. Comput. Feifei Sun, Pinghua Xu, Xuemei Ding
2018	J	`jnl`	A paired neural network model for tourist arrival forecasting. Expert Syst. Appl. Yuan Yao, Yi Cao, Xuemei Ding, Jia Zhai, Junxiu Liu, Yuling Luo, Shuai Ma, Kailin Zou
2018	J	`jnl`	Cryptanalysis of Chaos-Based Cryptosystem from the Hardware Perspective. Int. J. Bifurc. Chaos Yuling Luo, Dezheng Zhang, Junxiu Liu, Yunqi Liu, Yi Cao, Xuemei Ding
2018	—	`conf`	Financial Data Forecasting Using Optimized Echo State Network. ICONIP (5) Junxiu Liu, Tiening Sun, Yuling Luo, Qiang Fu, Yi Cao, Jia Zhai, Xuemei Ding
2018	B	`conf`	Improving the Stability for Spiking Neural Networks Using Anti-noise Learning Rule. PRICAI Yuling Luo, Qiang Fu, Junxiu Liu, Yongchuang Huang, Xuemei Ding, Yi Cao
2018	J	`jnl`	Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. Comput. Biol. Medicine Shuo Liu, Jinshu Zeng, Huizhou Gong, Hongqin Yang, Jia Zhai, Yi Cao, Junxiu Liu, Yuling Luo, Yuhua Li, Liam P. Maguire, Xuemei Ding
2018	J	`jnl`	Thermal Drift of Optics in Separated-Beam Heterodyne Interferometers. IEEE Trans. Instrum. Meas. Haijin Fu, Guolong Wu, Pengcheng Hu, Jiubin Tan, Xuemei Ding
2017	J	`jnl`	Assembled Cantilever Fiber Touch Trigger Probe for Three-Dimensional Measurement of Microstructures. Sensors Limin Zou, He Ni, Peng Zhang, Xuemei Ding
2017	J	`jnl`	Coarse and fine identification of collusive clique in financial market. Expert Syst. Appl. Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li
2017	J	`jnl`	Computational intelligent hybrid model for detecting disruptive trading activity. Decis. Support Syst. Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li
2017	J	`jnl`	Data analytics enhanced component volatility model. Expert Syst. Appl. Yuan Yao, Jia Zhai, Yi Cao, Xuemei Ding, Junxiu Liu, Yuling Luo
2015	J	`jnl`	Novelty Detection Using Level Set Methods. IEEE Trans. Neural Networks Learn. Syst. Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
2014	B	`conf`	A locally adaptive boundary evolution algorithm for novelty detection using level set methods. IJCNN Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
2014	J	`jnl`	An experimental evaluation of novelty detection methods. Neurocomputing Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
2014	—	`—`	Novelty detection using level set methods. Xuemei Ding
2013	J	`jnl`	C2-Style Architecture Testing and Metrics Using Dependency Analysis. J. Softw. Lijun Lun, Xin Chi, Xuemei Ding
2013	B	`conf`	Novelty Detection Using Level Set Methods with Adaptive Boundaries. SMC Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
2013	J	`jnl`	Scanning and Address Allocation Delays in Vehicular Communications. Wirel. Pers. Commun. Syed Faraz Hasan, Nazmul H. Siddique, Shyam S. Chakraborty, Xuemei Ding, Wei Gao
2012	B	`conf`	Constructing minimum volume surfaces using level set methods for novelty detection. IJCNN Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
2012	J	`jnl`	Edge Coverage Analysis for Software Architecture Testing. J. Softw. Lijun Lun, Xin Chi, Xuemei Ding
2011	—	`conf`	Application of T-S fuzzy neural network in safety risk assessment of textile and apparel. FSKD Shuhui Pang, Yuan Zhou, Xuemei Ding, Xiongying Wu
2011	J	`jnl`	Measuring Disruption in Vehicular Communications. IEEE Trans. Veh. Technol. Syed Faraz Hasan, Xuemei Ding, Nazmul H. Siddique, Shyam S. Chakraborty
2010	—	`conf`	Granular neural networks computing on fuzzy information table. FSKD Xuemei Ding, Zhiyong Zeng, Lijun Lun
2009	C	`conf`	An efficient region-based image representation using Legendre color distribution moments. ICIS Zhiyong Zeng, Xuemei Ding, Shigang Liu
2009	—	`conf`	Analyzing Relation between Software Architecture Testing Criteria on Test Sequences. SSIRI Lijun Lun, Xuemei Ding