Improved Dataset Characterisation for Meta-learning. - Yonghong Peng; Peter A. Flach; Carlos Soares; Pavel Brazdil (Discovery Science, 2002)

A CBR Driven Genetic Algorithm for Microcalcification Cluster Detection. - Bin Yao; Jianmin Jiang; Yonghong Peng (EKAW, 2004)

MMAC: A New Multi-Class, Multi-Label Associative Classification Approach. - Fadi A. Thabtah; Peter I. Cowling; Yonghong Peng (ICDM, 2004)

Intelligent condition monitoring using fuzzy inductive learning. - Yonghong Peng (J. Intell. Manuf., 2004)

Robust Ensemble Learning for Cancer Diagnosis Based on Microarray Data Classification. - Yonghong Peng (ADMA, 2005)

MCAR: multi-class classification based on association rule. - Fadi A. Thabtah; Peter I. Cowling; Yonghong Peng (AICCSA, 2005)

Cost-Sensitive Ensemble of Support Vector Machines for Effective Detection of Microcalcification in Breast Cancer Diagnosis. - Yonghong Peng; Qian Huang; Ping Jiang 001; Jianmin Jiang (FSKD (2), 2005)

The Impact of Rule Ranking on the Quality of Associative Classifiers. - Fadi A. Thabtah; Peter I. Cowling; Yonghong Peng (SGAI Conf., 2005)

A Variable Resolution Virtual Sensor in Social Behaviour Networks. - Ping Jiang 001; Yonghong Peng; Quentin Mair; Mingwei Yuan (SOAS, 2005)

A Study of Predictive Accuracy for Four Associative Classifiers. - Fadi A. Thabtah; Peter I. Cowling; Yonghong Peng (J. Digit. Inf. Manag., 2005)

Co-expression Gene Discovery from Microarray for Integrative Systems Biology. - Yutao Ma; Yonghong Peng (ADMA, 2006)

Detection of Microcalcifications in Digital Mammograms Based on Dual-Threshold. - Yuan Wu; Qian Huang; Yonghong Peng; Wuchao Situ (Digital Mammography / IWDM, 2006)

A Filter-Based Approach Towards Automatic Detection of Microcalcification. - Zhi Qing Wu; Jianmin Jiang; Yonghong Peng; Thor Ole Gulsrud (Digital Mammography / IWDM, 2006)

Knowledge-discovery incorporated evolutionary search for microcalcification detection in breast cancer diagnosis. - Yonghong Peng; Bin Yao; Jianmin Jiang (Artif. Intell. Medicine, 2006)

A novel ensemble machine learning for robust microarray data classification. - Yonghong Peng (Comput. Biol. Medicine, 2006)

Integration of gene functional diversity for effective cancer detection. - Yonghong Peng (Int. J. Syst. Sci., 2006)

Multiple labels associative classification. - Fadi Abdeljaber Thabtah; Peter I. Cowling; Yonghong Peng (Knowl. Inf. Syst., 2006)

Applications of Data Mining in E-Business Finance: Introduction. - Carlos Soares; Yonghong Peng; Jun Meng; Takashi Washio; Zhi-Hua Zhou (DMBiz@PAKDD, 2007)

Integrative data mining in systems biology: from text to network mining. - Yonghong Peng; Xuegong Zhang (Artif. Intell. Medicine, 2007)

Effective features based on normal linear structures for detecting microcalcifications in mammograms. - Zhi Qing Wu; Jianmin Jiang; Yonghong Peng (ICPR, 2008)

A Template Model for Defect Simulation for Evaluating Nondestructive Testing in X-Radiography. - Qian Huang; Yuan Wu; John Baruch; Ping Jiang 001; Yonghong Peng (IEEE Trans. Syst. Man Cybern. Part A, 2009)

Artificial intelligence in biomedical engineering and informatics: An introduction and review. - Yonghong Peng; Yufeng Zhang; Lipo Wang (Artif. Intell. Medicine, 2010)

A novel feature selection approach for biomedical data classification. - Yonghong Peng; Zhi Qing Wu; Jianmin Jiang (J. Biomed. Informatics, 2010)

Text mining for traditional Chinese medical knowledge discovery: A survey. - Xuezhong Zhou; Yonghong Peng; Baoyan Liu (J. Biomed. Informatics, 2010)

Integrating phenotype-genotype data for prioritization of candidate symptom genes. - Xing Li; Xuezhong Zhou; Yonghong Peng; Runshun Zhang; Jingqing Hu; Jian Yu 001; Baoyan Liu (BIBM, 2013)

Introduction to the special issue on Recent advance in signal processing, biomedical engineering and informatics. - Yonghong Peng; Riyi Shi; Yong Xiang 001 (Comput. Electr. Eng., 2013)

Increasing big data front end processing efficiency via locality sensitive Bloom filter for elderly healthcare. - Yongqiang Cheng 001; Ping Jiang 001; Yonghong Peng (CIBD, 2014)

Integrated analytics of microarray big data reveals robust gene signature. - Wanting Liu; Yonghong Peng; Desmond J. Tobin (CIBD, 2014)

Microarray big data integrated analysis to identify robust diagnostic signature for triple negative breast cancer. - Masood U. H. Zaka; Yonghong Peng; Chris W. Sutton (CIBD, 2014)

Integrated microarray analytics for the discovery of gene signatures for triple-negative breast cancer. - Masood U. H. Zaka; Yonghong Peng; Chris W. Sutton (UKCI, 2014)

Big Data Analytics of Financial Strategies. - Kabaji Egara; Yonghong Peng (SSCI, 2015)

Integrated Analysis of Gene Expression Data for Colon Cancer Biomarker Discovery. - Aamir Hassan; Masood U. H. Zaka; Demetres Kouvatsos; Yonghong Peng (SSCI, 2015)

Data Analytics of climatic factor influence on the impact of malaria incidence. - Babagana Modu; A. Taufiq Asyhari; Yonghong Peng (SSCI, 2016)

Systematic associations between germ-line mutations and human cancers. - Mohammad Alshammari; Desmond J. Tobin; Yonghong Peng (Int. J. Comput. Biol. Drug Des., 2016)

A feasibility study on using a Kinect-based human motion tracking system to promote safe patient handling. - Wenbing Zhao 001; Qing Wu; Deborah D. Espy; M. Ann Reinthal; Xiong Luo; Yonghong Peng (EIT, 2017)

Automatic stent strut detection in intravascular ultrasound using feature extraction and classification technique. - Xiaoyu Wang; Yisha Lan; Feng Su; Zhounan Li; Chenxi Huang 001; Yongtao Hao; Lulu Yue; Yongqiang Cheng 001; Yonghong Peng (ICNC-FSKD, 2018)

PPG based Respiration Signal Estimation using VMDPCA. - Hangyang Ye; Jin Zhu; Yongqiang Cheng 001; Dongfei Xue; Bing Wang; Yonghong Peng (ICAC, 2018)

From Eyes to Face Synthesis: a New Approach for Human-Centered Smart Surveillance. - Xiang Chen 008; Linbo Qing; Xiaohai He; Jie Su; Yonghong Peng (IEEE Access, 2018)

A Hybrid Active Contour Segmentation Method for Myocardial D-SPECT Images. - Chenxi Huang 001; Xiaoying Shan; Yisha Lan; Lu Liu; Haidong Cai; Wenliang Che; Yongtao Hao; Yongqiang Cheng 001; Yonghong Peng (IEEE Access, 2018)

A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images. - Chenxi Huang 001; Yuan Xie; Yisha Lan; Yongtao Hao; Fei Chen; Yongqiang Cheng 001; Yonghong Peng (IEEE Access, 2018)

A Novel WebVR-Based Lightweight Framework for Virtual Visualization of Blood Vasculum. - Chenxi Huang 001; Wen Zhou 005; Yisha Lan; Fei Chen; Yongtao Hao; Yongqiang Cheng 001; Yonghong Peng (IEEE Access, 2018)

A New Regularized Matrix Discriminant Analysis (R-MDA) Enabled Human-Centered EEG Monitoring Systems. - Jie Su; Linbo Qing; Xiaohai He; Hang Zhang 010; Jing Zhou; Yonghong Peng (IEEE Access, 2018)

A New Smart Mobile System for Chronic Wound Care Management. - Shihui Wang 001; Qijian Zhang; Weihong Huang; Hanzhang Tian; Jianzhong Hu; Yongqiang Cheng 001; Yonghong Peng (IEEE Access, 2018)

A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device. - Dong Yang; Yongqiang Cheng 001; Jin Zhu; Dongfei Xue; Grant Abt; Hangyang Ye; Yonghong Peng (IEEE Access, 2018)

A New Progressively Refined Wyner-Ziv Video Coding for Low-Power Human-Centered Telehealth. - Jia Yang; Xiaohai He; Linbo Qing; Shuhua Xiong; Yonghong Peng (IEEE Access, 2018)

P-CSREC: A New Approach for Personalized Cloud Service Recommendation. - Chengwen Zhang; Zengcheng Li; Tang Li; Yunan Han; Cuicui Wei; Yongqiang Cheng 001; Yonghong Peng (IEEE Access, 2018)

Gaze-Informed Egocentric Action Recognition for Memory Aid Systems. - Zheming Zuo; Longzhi Yang; Yonghong Peng; Fei Chao 001; Yanpeng Qu (IEEE Access, 2018)

A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles. - Chenxi Huang 001; Yisha Lan; Yuchen Liu; Wen Zhou 005; Hongbin Pei; Longzhi Yang; Yongqiang Cheng 001; Yongtao Hao; Yonghong Peng (Complex., 2018)

Large-Scale Street Space Quality Evaluation Based on Deep Learning Over Street View Image. - Mei Liu; Longmei Han; Shanshan Xiong; Linbo Qing; Haohao Ji; Yonghong Peng (ICIG (2), 2019)

A New Discriminative Feature Learning for Person Re-Identification Using Additive Angular Margin Softmax Loss. - Jie Su; Xiaohai He; Linbo Qing; Yanmei Yu; Shengyu Xu; Yonghong Peng (UCET, 2019)

A Clustering Based Transfer Function for Volume Rendering Using Gray-Gradient Mode Histogram. - Yisha Lan; Yimin Ding; Xin Luo 001; Yanzhao Zhang; Chenxi Huang 001; E. Y. K. Ng; Weihong Huang; Xuezhong Zhou; Jie Su; Yonghong Peng; Zhicheng Wang; Yongqiang Cheng 001; et al. (IEEE Access, 2019)

A Nine Months Follow-up Study of Hemodynamic Effect on Bioabsorbable Coronary Stent Implantation. - Yisha Lan; Yuanhang Zhou; Yiwen Lu; Hao Wang; Qing Liu 004; E. Y. K. Ng; Yonghong Peng; Yongtao Hao; Qinyuan Liu; Fei Chen; Yongqiang Cheng 001; Wenliang Che (IEEE Access, 2019)

Analysis and Detection of Health-Related Misinformation on Chinese Social Media. - Yue Liu 002; Ke Yu; Xiaofei Wu; Linbo Qing; Yonghong Peng (IEEE Access, 2019)

Lumen Contour Segmentation in IVOCT Based on N-type CNN. - Junjie Tang; Yisha Lan; Sirui Chen; Yongshuo Zhong; Chenxi Huang 001; Yonghong Peng; Qinyuan Liu; Yongqiang Cheng 001; Fei Chen; Wenliang Che (IEEE Access, 2019)

Studies on Different CNN Algorithms for Face Skin Disease Classification Based on Clinical Images. - Zhe Wu; Shuang Zhao; Yonghong Peng; Xiaoyu He; Xinyu Zhao; Kai Huang 008; Xian Wu 001; Wei Fan 001; Fangfang Li; Mingliang Chen; Jie Li; Weihong Huang; et al. (IEEE Access, 2019)

An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health. - Gaowei Xu; Yonghong Peng; Wenliang Che; Yisha Lan; Wen Zhou 005; Chenxi Huang 001; Weibin Li; Wei Zhang 143; Guokai Zhang; E. Y. K. Ng; Yongqiang Cheng 001 (IEEE Access, 2019)

IEEE Access Special Section Editorial: Human-Centered Smart Systems and Technologies. - Wenbing Zhao 001; Yonghong Peng; Kun Hua; Peng Shi 006; Hongqiao Wang (IEEE Access, 2019)

Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography. - Chenxi Huang 001; Yisha Lan; Sirui Chen; Qing Liu 004; Xin Luo 001; Gaowei Xu; Wen Zhou 005; Fan Lin; Yonghong Peng; Eddie Y. K. Ng; Yongqiang Cheng 001; Nianyin Zeng; et al. (Complex., 2019)

Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM. - Omar Kawi; Kathy Clawson; Paul Dunn; Daniel Knight; Jonathan Hodgson; Yonghong Peng (IJCNN, 2020)

A New Precise Contactless Medical Image Multimodal Interaction System for Surgical Practice. - Wang Shi Hui 001; Weihong Huang; Jianzhong Hu; Kun Tao; Yonghong Peng (IEEE Access, 2020)

Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts. - Yanqiu Zeng; Baocan Zhang; Wei Zhao 059; Shixiao Xiao; Guokai Zhang; Haiping Ren; Wenbing Zhao 001; Yonghong Peng; Yutian Xiao; Yiwen Lu; Yongshuo Zong; Yimin Ding (Comput. Math. Methods Medicine, 2020)

A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals. - Wei Zhao 059; Wenbing Zhao 001; Wenfeng Wang; Xiaolu Jiang; Xiaodong Zhang; Yonghong Peng; Baocan Zhang; Guokai Zhang (Comput. Math. Methods Medicine, 2020)

A New Remote Sensing Images and Point-of-Interest Fused (RPF) Model for Sensing Urban Functional Regions. - Shengyu Xu; Linbo Qing; Longmei Han; Mei Liu; Yonghong Peng; Lifang Shen (Remote. Sens., 2020)

A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy. - Chenxi Huang 001; Yisha Lan; Guokai Zhang; Gaowei Xu; Landu Jiang; Nianyin Zeng; Jen Hong Tan; E. Y. K. Ng; Yongqiang Cheng 001; Ningzhi Han; Rongrong Ji; Yonghong Peng (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Public Life in Public Space (PLPS): A multi-task, multi-group video dataset for public life research. - Linbo Qing; Lindong Li; Shengyu Xu; Yibo Huang 003; Mei Liu; Rulong Jin; Bo Liu; Tong Niu; Hongqian Wen; Yuchen Wang; Xue Jiang; Yonghong Peng (ICCVW, 2021)

An enhanced siamese angular softmax network with dual joint-attention for person re-identification. - Jie Su; Xiaohai He; Linbo Qing; Yongqiang Cheng 001; Yonghong Peng (Appl. Intell., 2021)

A New Data-Enabled Intelligence Framework for Evaluating Urban Space Perception. - Haohao Ji; Linbo Qing; Longmei Han; Zhengyong Wang; Yongqiang Cheng 001; Yonghong Peng (ISPRS Int. J. Geo Inf., 2021)

Multi-scale features based interpersonal relation recognition using higher-order graph neural network. - Jianjun Gao; Linbo Qing; Lindong Li; Yongqiang Cheng 001; Yonghong Peng (Neurocomputing, 2021)

A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN. - Chenxi Huang 001; Yongshuo Zong; Yimin Ding; Xin Luo 001; Kathy Clawson; Yonghong Peng (Neurocomputing, 2021)

SRR-LGR: Local-Global Information-Reasoned Social Relation Recognition for Human-Oriented Observation. - Linbo Qing; Lindong Li; Yuchen Wang; Yongqiang Cheng 001; Yonghong Peng (Remote. Sens., 2021)

A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour. - Chenxi Huang 001; Yisha Lan; Gaowei Xu; Xiaojun Zhai; Jipeng Wu; Fan Lin; Nianyin Zeng; Qingqi Hong; E. Y. K. Ng; Yonghong Peng; Fei Chen; Guokai Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Data-Enabled Digestive Medicine: A New Big Data Analytics Platform. - Lu Yan; Weihong Huang; Liming Wang; Song Feng; Yonghong Peng; Jie Peng (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A dynamic priority strategy for IoV data scheduling towards key data. - Chenxi Huang 001; Hao Wang; Dong Guo; Guokai Zhang; Gaowei Xu; Wen Zhou 005; Yongqiang Cheng 001; Yonghong Peng; Kaijian Xia; Fan Lin (J. Supercomput., 2021)

Deep CardioSound - An Ensembled Deep Learning Model for Heart Sound MultiLabelling. - Li Guo 018; Steven Davenport; Yonghong Peng (CoRR, 2022)

A new weakly supervised learning approach for real-time iron ore feed load estimation. - Li Guo 018; Yonghong Peng; Rui Qin; Bingyu Liu (Expert Syst. Appl., 2022)

Multi-Level Transformer-Based Social Relation Recognition. - Yuchen Wang; Linbo Qing; Zhengyong Wang; Yongqiang Cheng 001; Yonghong Peng (Sensors, 2022)

HybNet: a hybrid network structure for pain intensity estimation. - Yibo Huang 003; Linbo Qing; Shengyu Xu; Lu Wang; Yonghong Peng (Vis. Comput., 2022)

HF-SRGR: a new hybrid feature-driven social relation graph reasoning model. - Lindong Li; Linbo Qing; Yuchen Wang; Jie Su; Yongqiang Cheng 001; Yonghong Peng (Vis. Comput., 2022)

Relationship existence recognition-based social group detection in urban public spaces. - Lindong Li; Linbo Qing; Li Guo 018; Yonghong Peng (Neurocomputing, 2023)

Unveiling Social Relations: Leveraging Interpersonal Similarity Learning for Social Relation Recognition. - Wang Tang; Linbo Qing; Haosong Gou; Li Guo 018; Yonghong Peng (IEEE Signal Process. Lett., 2023)

A collaborative perception method of human-urban environment based on machine learning and its application to the case area. - Jianlin Huang; Linbo Qing; Longmei Han; Jiajia Liao; Li Guo 018; Yonghong Peng (Eng. Appl. Artif. Intell., 2023)

A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction. - Chenxi Huang 001; Junsheng Zhou; Jinling Chen; Jane Yang; Kathy Clawson; Yonghong Peng (Neural Comput. Appl., 2023)

A new deep belief network-based multi-task learning for diagnosis of Alzheimer's disease. - Nianyin Zeng; Han Li 004; Yonghong Peng (Neural Comput. Appl., 2023)

POEM: A prototype cross and emphasis network for few-shot semantic segmentation. - Xu Cheng 003; Haoyuan Li; Shuya Deng; Yonghong Peng (Comput. Vis. Image Underst., 2023)

A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement. - Chenxi Huang 001; Dan Hong; Chenhui Yang; Chunting Cai; Siyi Tao; Kathy Clawson; Yonghong Peng (Neural Comput. Appl., 2023)

Principal relation component reasoning-enhanced social relation recognition. - Wang Tang; Linbo Qing; Lindong Li; Li Guo 018; Yonghong Peng (Appl. Intell., 2023)

An Attention Transformer-Based Method for the Modelling of Functional Connectivity and the Diagnosis of Autism Spectrum Disorder. - Ge Yang; Linbo Qing; Yanteng Zhang; Feng Gao; Li Gao; Xiaohai He; Yonghong Peng (ICPR (12), 2024)

ADCV: Unsupervised depth completion employing adaptive depth-based cost volume. - Tao Li; Dandan Wu; Minghui Zhou; Qing Liao 007; Yonghong Peng (Digit. Signal Process., 2024)

Unveiling group activity recognition: Leveraging Local-Global Context-Aware Graph Reasoning for enhanced actor-scene interactions. - Xue Jiang; Linbo Qing; Jianglan Huang; Li Guo 018; Yonghong Peng (Eng. Appl. Artif. Intell., 2024)

MSE-Net: A novel master-slave encoding network for remote sensing scene classification. - Hongguang Yue; Linbo Qing; Zhixuan Zhang; Zhengyong Wang; Li Guo 018; Yonghong Peng (Eng. Appl. Artif. Intell., 2024)

A transformer-CNN parallel network for image guided depth completion. - Tao Li 014; Xiucheng Dong; Jie Lin; Yonghong Peng (Pattern Recognit., 2024)

DVC-Net: a new dual-view context-aware network for emotion recognition in the wild. - Linbo Qing; Hongqian Wen; Honggang Chen; Rulong Jin; Yongqiang Cheng 001; Yonghong Peng (Neural Comput. Appl., 2024)

Multi-Stage Deep Learning for Intrusion Detection in Industrial Internet of Things. - Segun I. Popoola; Yakubu Tsado; Abimbola A. Ogunjinmi; Erika Sanchez-Velazquez; Yonghong Peng; Danda B. Rawat (IEEE Access, 2025)

Equidistant deep embedding-based multi-label group activity recognition with dependency-constrained training. - Lindong Li; Linbo Qing; Pingyu Wang; Yang Xiao; Wang Tang; Yonghong Peng (Appl. Soft Comput., 2025)

Graph-based interactive knowledge distillation for social relation continual learning. - Wang Tang; Linbo Qing; Pingyu Wang; Lindong Li; Yonghong Peng (Neurocomputing, 2025)

Cross-attention fusion of graph and MLLM for social relation recognition. - Wang Tang; Linbo Qing; Pingyu Wang; Lindong Li; Yonghong Peng (Inf. Fusion, 2025)

Spatio-temporal interactive reasoning model for multi-group activity recognition. - Jianglan Huang; Lindong Li; Linbo Qing; Wang Tang; Pingyu Wang; Li Guo 018; Yonghong Peng (Pattern Recognit., 2025)

Facial expression recognition based on local-global information reasoning and spatial distribution of landmark features. - Kunhong Xiong; Linbo Qing; Lindong Li; Li Guo 018; Yonghong Peng (Vis. Comput., 2025)