My profile

Biography

Academic and professional qualifications

I am currently the Professor of Artificial Intelligence (AI) and the Head and Director of the University Research and Knowledge Exchange (RKE) Centre for Advanced Computational Science at Manchester Metropolitan University (MMU) which conducts research on AI, Data Science, Cyber Security and Mathematical Modelling (fluid dynamics). Prior to my current role, I was the Professor of Data Science and the founding director of the Centre for Research and Innovation in Data Science (CRI-DS) at the University of Sunderland. I also co-founded the Joint Lab for Research and Innovation in Data Science (JLRI-DS) with Sichuan University and industrial partners. The JLRI-DS was recognised by British Council as one of four most innovative research and innovation partnerships between UK and China in 2019.

My research concerns the advancement of AI technologies that helps improve the performance of data science life cycle, including - data preparing and selection, knowledge generation and reasoning, and the decision making or decision-making support. Another side of my research concerns the integration of human behaviour and knowledge into the process of decision making to power the Artificial Intelligence systems. For both we are developing a new human-machine cooperative AI (HMCI) core, including the investigation of how AI systems can better empower people in applying AI, and how human-intelligence can be better embedded into the evolution process of AI systems so the Artificial Intelligence and Human Intelligence can be integrated as a partner. This HMCI core will hopefully lead to the development of an innovative AI as a Service (AaaS) system for a variety of applications.

Other academic service (administration and management)

Head and Director of the University RKE Centre for Advanced Computational Science (CfACS)

Co-director, MMU-NUAA AI Join Lab (Nov 2021-)

Co-founder and Co-director, Joint-Lab for Research and Innovation in Data Science (JLRI-DS) (Aug 2017-)

Visiting Professor (AI for Health), Northern Care Alliance NHS Foundation Trust (Oct 2021-)

Academic Honorary Member, Office of Health Improvement and Disparities (OHID) of Department of Health and Social Care (2021-)

Visiting Professor (AI for Health), Salford Royal NHS Foundation Trust (Oct 2020-)

Visiting Professor, Xiangya Hospital of Central South University (May 2020-)

Academic Honorary Member, Public Health England (Feb 2018-)

Chair of Big Data Task Force IEEE Computational Intelligence Society (2014-2021)

Expert reviewer for external funding bodies

NIHR Artificial Intelligence for Multiple Long-Term Conditions (AIM) Programme

UKRI, AI CDT programmes etc.

Teaching

Subject areas

Artificial Intelligence

Research outputs

My research areas include artificial intelligence, machine learning, and data science. My research is aimed to made contribution to advance the AI technologies, and the innovative applications of AI to various domains across health, creativities and future living.

The AI approaches I developed have enabled the discovery of important biomarkers for various human diseases from the integrated genomic data analysis and health data analytics.

I am currently leading the development of the new human-machine cooperative AI (HMCI) core and an innovative AI as a Service (AaaS) platform. The research on this includes the investigation of how AI systems can better empower everyone in applying AI, and how human-intelligence can be embedded in the evolution of AI systems so the Artificial Intelligence and Human Intelligence can co-grow together, in a positive way, as a partner or a team. The co-operative intelligence will be unique to the pair. We also hope to further research on the brain-chip interfacing that could enable the real-time cooperative intelligence.

The success of this fundamental cooperative intelligence will find applications in various domain from ageing in healthcare, to the co-creation in creativity industry, to the read-time performance improvement in sport industries, and to the human-centred decision-making in FinTech and banking. 

I welcome PhD students to join the innovative research and development the cooperatrive intelligence and the AaaS, and conduct resarch in the areas of AI and Machine learning and their applications in a variety of domains including medicine and health, environment and industries, FinTech and banking, and future cities. 

  • Books (authored/edited/special issues)

    Soares, C., Peng, Y., Meng, J., Washio, T., Zhou, Z.H. (2008) Preface.

  • Chapters in books

    Zhou, X., Liu, B., Zhang, X., Xie, Q., Zhang, R., Wang, Y., Peng, Y. (2014) 'Data mining in real-world traditional chinese medicine clinical data warehouse.' Data Analytics for Traditional Chinese Medicine Research. pp. 189-213.

  • Journal articles

    Yue, H., Qing, L., Zhang, Z., Wang, Z., Guo, L., Peng, Y. (2024) 'MSE-Net: A novel master–slave encoding network for remote sensing scene classification.' Engineering Applications of Artificial Intelligence, 132

    Li, T., Dong, X., Lin, J., Peng, Y. (2024) 'A transformer-CNN parallel network for image guided depth completion.' Pattern Recognition, 150

    Qing, L., Wen, H., Chen, H., Jin, R., Cheng, Y., Peng, Y. (2024) 'DVC-Net: a new dual-view context-aware network for emotion recognition in the wild.' Neural Computing and Applications, 36(2) pp. 653-665.

    Tang, W., Qing, L., Li, L., Guo, L., Peng, Y. (2023) 'Principal relation component reasoning-enhanced social relation recognition.' Applied Intelligence, 53(23) pp. 28099-28113.

    Huang, C., Hong, D., Yang, C., Cai, C., Tao, S., Clawson, K., Peng, Y. (2023) 'A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement.' Neural Computing and Applications, 35(31) pp. 22855-22863.

    Heald, A., Qin, R., Williams, R., Warner-Levy, J., Narayanan, R.P., Fernandez, I., Peng, Y., Gibson, J.M., McCay, K., Anderson, S.G., Ollier, W. (2023) 'A Longitudinal Clinical Trajectory Analysis Examining the Accumulation of Co-morbidity in People with Type 2 Diabetes (T2D) Compared with Non-T2D Individuals.' Diabetes Therapy, 14(11) pp. 1903-1913.

    Cheng, X., Li, H., Deng, S., Peng, Y. (2023) 'POEM: A prototype cross and emphasis network for few-shot semantic segmentation.' Computer Vision and Image Understanding, 234

    Billows, N., Phelan, J.E., Xia, D., Peng, Y., Clark, T.G., Chang, Y.M. (2023) 'Feature weighted models to address lineage dependency in drug-resistance prediction from Mycobacterium tuberculosis genome sequences.' Bioinformatics, 39(7)

    Huang, C., Zhou, J., Chen, J., Yang, J., Clawson, K., Peng, Y. (2023) 'A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction.' Neural Computing and Applications, 35(16) pp. 11517-11529.

    Zeng, N., Li, H., Peng, Y. (2023) 'A new deep belief network-based multi-task learning for diagnosis of Alzheimer’s disease.' Neural Computing and Applications, 35(16) pp. 11599-11610.

    Chang, K., Jia, T., Zhou, Y.N., Shu, Z.X., Liu, J.F., Sun, J., Zheng, Q.G., Tian, H.Y., Xia, J.N., Yang, K., Wang, N., Sun, H.L., Wang, X.Y., Yan, D.Y., Clark, T., Liu, B.Y., Li, X.D., Peng, Y.H., Zhou, X.Z. (2023) 'Validation and refinement of two interpretable models for coronavirus disease 2019 prognosis prediction.' World Journal of Traditional Chinese Medicine, 9(2) pp. 191-200.

    Huang, J., Qing, L., Han, L., Liao, J., Guo, L., Peng, Y. (2023) 'A collaborative perception method of human-urban environment based on machine learning and its application to the case area.' Engineering Applications of Artificial Intelligence, 119

    Tang, W., Qing, L., Gou, H., Guo, L., Peng, Y. (2023) 'Unveiling Social Relations: Leveraging Interpersonal Similarity Learning for Social Relation Recognition.' IEEE Signal Processing Letters, 30pp. 1142-1146.

    Heald, A.H., Jenkins, D.A., Williams, R., Mudaliar, R.N., Naseem, A., Davies, K.A.B., Gibson, J.M., Peng, Y., Ollier, W. (2022) 'COVID-19 Vaccination and Diabetes Mellitus: How Much Has It Made a Difference to Outcomes Following Confirmed COVID-19 Infection?.' Diabetes Therapy, 14pp. 193-204.

    Li, L., Qing, L., Wang, Y., Su, J., Cheng, Y., Peng, Y. (2022) 'HF-SRGR: a new hybrid feature-driven social relation graph reasoning model.' Visual Computer, 38(11) pp. 3979-3992.

    Li, L., Qing, L., Guo, L., Peng, Y. (2022) 'Relationship existence recognition-based social group detection in urban public spaces.' Neurocomputing, 516pp. 92-105.

    Guo, L., Peng, Y., Qin, R., Liu, B. (2022) 'A new weakly supervised learning approach for real-time iron ore feed load estimation.' Expert Systems with Applications, 202pp. 117469-117469.

    Wang, Y., Qing, L., Wang, Z., Cheng, Y., Peng, Y. (2022) 'Multi-Level Transformer-Based Social Relation Recognition.' Sensors, 22(15)

    Heald, A.H., Jenkins, D.A., Williams, R., Sperrin, M., Mudaliar, R.N., Syed, A., Naseem, A., Bowden Davies, K.A., Peng, Y., Peek, N., Ollier, W., Anderson, S.G., Delanerolle, G., Gibson, J.M. (2022) 'Mortality in People with Type 2 Diabetes Following SARS-CoV-2 Infection: A Population Level Analysis of Potential Risk Factors.' Diabetes Therapy, 13(5) pp. 1037-1051.

    Heald, A.H., Jenkins, D.A., Williams, R., Sperrin, M., Fachim, H., Mudaliar, R.N., Syed, A., Naseem, A., Gibson, J.M., Bowden Davies, K.A., Peek, N., Anderson, S.G., Peng, Y., Ollier, W. (2022) 'The risk factors potentially influencing hospital admission in people with diabetes, following SARS-CoV-2 infection: a population-level analysis.' Diabetes Therapy, 13(5) pp. 1007-10021.

    Huang, Y., Qing, L., Xu, S., Wang, L., Peng, Y. (2022) 'HybNet: a hybrid network structure for pain intensity estimation.' Visual Computer, 38(3) pp. 871-882.

    Heald, A.H., Chang, K., Jia, T., Sun, H., Zheng, Q., Wang, X., Xia, J., Stedman, M., Fachim, H., Gibson, M., Zhou, X., Anderson, S.G., Peng, Y., Ollier, W. (2021) 'Longitudinal clinical trajectory analysis of individuals before and after diagnosis of Type 2 Diabetes Mellitus (T2DM) indicates that vascular problems start early.' International Journal of Clinical Practice, 75(11)

    Gao, J., Qing, L., Li, L., Cheng, Y., Peng, Y. (2021) 'Multi-scale features based interpersonal relation recognition using higher-order graph neural network.' Neurocomputing, 456pp. 243-252.

    Su, J., He, X., Qing, L., Cheng, Y., Peng, Y. (2021) 'An enhanced siamese angular softmax network with dual joint-attention for person re-identification.' Applied Intelligence, 51(8) pp. 6148-6166.

    Tian, Z., Heald, A.H., Stedman, M., Fachim, H., Livingston, M., Gibson, M., Peng, Y., Ollier, W. (2021) 'Age of people with type 2 diabetes and the risk of dying following SARS-CoV-2 infection.' International Journal of Clinical Practice, 75(8)

    Ji, H., Qing, L., Han, L., Wang, Z., Cheng, Y., Peng, Y. (2021) 'A new data-enabled intelligence framework for evaluating urban space perception.' ISPRS International Journal of Geo-Information, 10(6)

    Yan, L., Huang, W., Wang, L., Feng, S., Peng, Y., Peng, J. (2021) 'Data-Enabled Digestive Medicine: A New Big Data Analytics Platform.' IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18(3) pp. 922-931.

    Su, J., He, X., Qing, L., Niu, T., Cheng, Y., Peng, Y. (2021) 'A novel social distancing analysis in urban public space: A new online spatio-temporal trajectory approach.' Sustainable Cities and Society, pp. 102765-102765.

    Huang, C., Wang, H., Guo, D., Zhang, G., Xu, G., Zhou, W., Cheng, Y., Peng, Y., Xia, K., Lin, F. (2021) 'A dynamic priority strategy for IoV data scheduling towards key data.' Journal of Supercomputing, 77(2) pp. 2018-2032.

    Wang, N., Du, N., Peng, Y., Yang, K., Shu, Z., Chang, K., Wu, D., Yu, J., Jia, C., Zhou, Y., Li, X., Liu, B., Gao, Z., Zhang, R., Zhou, X. (2021) 'Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions.' Frontiers in Pharmacology, 11

    Zeng, N., Clawson, K., Peng, Y. (2021) 'Editorial: Data-Enabled Intelligence for Medical Technology Innovation, Volume I.' Frontiers in Medical Technology, 3

    Huang, C., Lan, Y., Xu, G., Zhai, X., Wu, J., Lin, F., Zeng, N., Hong, Q., Ng, E.Y.K., Peng, Y., Chen, F., Zhang, G. (2021) 'A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour..' IEEE/ACM transactions on computational biology and bioinformatics, 18(1) pp. 62-69.

    Qing, L., Li, L., Wang, Y., Cheng, Y., Peng, Y. (2021) 'Srr-lgr: Local–global information-reasoned social relation recognition for human-oriented observation.' Remote Sensing, 13(11)

    Huang, C., Lan, Y., Xu, G., Zhai, X., Wu, J., Lin, F., Zeng, N., Hong, Q., Ng, E.Y.K., Peng, Y., Chen, F., Zhang, G. (2021) 'A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour.' IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18(1) pp. 62-69.

    Huang, C., Zong, Y., Ding, Y., Luo, X., Clawson, K., Peng, Y. (2021) 'A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN.' Neurocomputing,

    Huang, C., Lan, Y., Zhang, G., Xu, G., Jiang, L., Zeng, N., Tan, J., Ng, E.Y.K., Cheng, Y., Han, N., Ji, R., Peng, Y. (2020) 'A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy.' ACM Transactions on Multimedia Computing, Communications and Applications, 16(2s)

    Zhao, W., Zhao, W., Wang, W., Jiang, X., Zhang, X., Peng, Y., Zhang, B., Zhang, G. (2020) 'A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals.' Computational and Mathematical Methods in Medicine, 2020pp. 1-9.

    Xu, S., Qing, L., Han, L., Liu, M., Peng, Y., Shen, L. (2020) 'A new remote sensing images and point-of-interest fused (RPF) model for sensing urban functional regions.' Remote Sensing, 12(6)

    Cai, C., Huang, C., Yang, C., Zhang, X., Peng, Y., Zhao, W., Hong, X., Ren, F., Hong, D., Xiao, Y., Yan, J. (2020) 'Altered Patterns of Phase Position Connectivity in Default Mode Subnetwork of Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment.' Frontiers in Neuroscience, 14

    Zhao, S., Xie, B., Li, Y., Zhao, X., Kuang, Y., Su, J., He, X., Wu, X., Fan, W., Huang, K., Su, J., Peng, Y., Navarini, A.A., Huang, W., Chen, X. (2020) 'Smart identification of psoriasis by images using convolutional neural networks: a case study in China.' Journal of the European Academy of Dermatology and Venereology, 34(3) pp. 518-524.

    Zaka, M., Sutton, C.W., Peng, Y., Konur, S. (2020) 'Model-based integration analysis revealed presence of novel prognostic miRNA targets and important cancer driver genes in triple-negative breast cancers.' Cancers, 12(3)

    Zeng, Y., Zhang, B., Zhao, W., Xiao, S., Zhang, G., Ren, H., Zhao, W., Peng, Y., Xiao, Y., Lu, Y., Zong, Y., Ding, Y. (2020) 'Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts.' Computational and Mathematical Methods in Medicine, 2020

    Hui, W.S., Huang, W., Hu, J., Tao, K., Peng, Y. (2020) 'A New Precise Contactless Medical Image Multimodal Interaction System for Surgical Practice.' IEEE Access, 8pp. 121811-121820.

    Van Schaik, P., Peng, Y., Ojelabi, A., Ling, J. (2019) 'Explainable statistical learning in public health for policy development: The case of real-world suicide data.' BMC Medical Research Methodology, 19(1)

    Huang, C., Tian, G., Lan, Y., Peng, Y., Ng, E.Y.K., Hao, Y., Cheng, Y., Che, W. (2019) 'A New Pulse Coupled Neural Network (PCNN) for Brain Medical Image Fusion Empowered by Shuffled Frog Leaping Algorithm.' Frontiers in Neuroscience, 13

    Zuo, Z., Wei, B., Chao, F., Qu, Y., Peng, Y., Yang, L. (2019) 'Enhanced gradient-based local feature descriptors by saliency map for egocentric action recognition.' Applied System Innovation, 2(1) pp. 1-14.

    Zhao, W., Peng, Y., Hua, K., Shi, P., Wang, H. (2019) 'IEEE access special section editorial: Human-centered smart systems and technologies.' IEEE Access, 7pp. 185469-185475.

    Wang, N., Li, P., Hu, X., Yang, K., Peng, Y., Zhu, Q., Zhang, R., Gao, Z., Xu, H., Liu, B., Chen, J., Zhou, X. (2019) 'Herb Target Prediction Based on Representation Learning of Symptom related Heterogeneous Network.' Computational and Structural Biotechnology Journal, 17pp. 282-290.

    Lan, Y., Zhou, Y., Lu, Y., Wang, H., Liu, Q., Ng, E.Y.K., Peng, Y., Hao, Y., Liu, Q., Chen, F., Cheng, Y., Che, W. (2019) 'A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation.' IEEE Access, 7pp. 112564-112571.

    Xu, G., Peng, Y., Che, W., Lan, Y., Zhou, W., Huang, C., Li, W., Zhang, W., Zhang, G., Ng, E.Y.K., Cheng, Y. (2019) 'An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health.' IEEE Access, 7pp. 173866-173874.

    Wu, Z., Zhao, S., Peng, Y., He, X., Zhao, X., Huang, K., Wu, X., Fan, W., Li, F., Chen, M., Li, J., Huang, W., Chen, X., Li, Y. (2019) 'Studies on Different CNN Algorithms for Face Skin Disease Classification Based on Clinical Images.' IEEE Access, 7pp. 66505-66511.

    Lan, Y., Ding, Y., Luo, X., Zhang, Y., Huang, C., Ng, E.Y.K., Huang, W., Zhou, X., Su, J., Peng, Y., Wang, Z., Cheng, Y., Che, W. (2019) 'A Clustering Based Transfer Function for Volume Rendering Using Gray-Gradient Mode Histogram.' IEEE Access, 7pp. 80737-80747.

    Huang, C., Lan, Y., Chen, S., Liu, Q., Luo, X., Xu, G., Zhou, W., Lin, F., Peng, Y., Ng, E.Y.K., Cheng, Y., Zeng, N., Zhang, G., Che, W. (2019) 'Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography.' Complexity, 2019

    Tang, J., Lan, Y., Chen, S., Zhong, Y., Huang, C., Peng, Y., Liu, Q., Cheng, Y., Chen, F., Che, W. (2019) 'Lumen contour segmentation in ivoct based on n-type cnn.' IEEE Access, 7pp. 135573-135581.

    Liu, Y., Yu, K., Wu, X., Qing, L., Peng, Y. (2019) 'Analysis and detection of health-related misinformation on Chinese social media.' IEEE Access, 7pp. 154480-154489.

    Huang, C., Lan, Y., Liu, Y., Zhou, W., Pei, H., Yang, L., Cheng, Y., Hao, Y., Peng, Y. (2018) 'A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles.' Complexity, 2018pp. 8420294-8420294.

    Xue, D., Wang, X., Zhu, J., Davis, D.N., Wang, B., Zhao, W., Peng, Y., Cheng, Y. (2018) 'An adaptive ensemble approach to ambient intelligence assisted people search.' Applied System Innovation, 1(3) pp. 1-18.

    Huang, C., Shan, X., Lan, Y., Liu, L., Cai, H., Che, W., Hao, Y., Cheng, Y., Peng, Y. (2018) 'A Hybrid Active Contour Segmentation Method for Myocardial D-SPECT Images.' IEEE Access, 6pp. 39334-39343.

    Yang, J., He, X., Qing, L., Xiong, S., Peng, Y. (2018) 'A New Progressively Refined Wyner-Ziv Video Coding for Low-Power Human-Centered Telehealth.' IEEE Access, 6pp. 38315-38325.

    Zhang, C., Li, Z., Li, T., Han, Y., Wei, C., Cheng, Y., Peng, Y. (2018) 'P-CSREC: A New Approach for Personalized Cloud Service Recommendation.' IEEE Access, 6pp. 35946-35956.

    Huang, C., Zhou, W., Lan, Y., Chen, F., Hao, Y., Cheng, Y., Peng, Y. (2018) 'A Novel WebVR-Based Lightweight Framework for Virtual Visualization of Blood Vasculum.' IEEE Access, 6pp. 27726-27735.

    Huang, C., Xie, Y., Lan, Y., Hao, Y., Chen, F., Cheng, Y., Peng, Y. (2018) 'A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images.' IEEE Access, 6pp. 36408-36419.

    Zuo, Z., Yang, L., Peng, Y., Chao, F., Qu, Y. (2018) 'Gaze-Informed Egocentric Action Recognition for Memory Aid Systems.' IEEE Access, 6pp. 12894-12904.

    Yang, D., Cheng, Y., Zhu, J., Xue, D., Abt, G., Ye, H., Peng, Y. (2018) 'A Novel Adaptive Spectrum Noise Cancellation Approach for Enhancing Heartbeat Rate Monitoring in a Wearable Device.' IEEE Access, 6pp. 8364-8375.

    Su, J., Qing, L., He, X., Zhang, H., Zhou, J., Peng, Y. (2018) 'A New Regularized Matrix Discriminant Analysis (R-MDA) Enabled Human-Centered EEG Monitoring Systems.' IEEE Access, 6pp. 13911-13920.

    Chen, X., Qing, L., He, X., Su, J., Peng, Y. (2018) 'From Eyes to Face Synthesis: a New Approach for Human-Centered Smart Surveillance.' IEEE Access, 6pp. 14567-14575.

    Wang, S., Zhang, Q., Huang, W., Tian, H., Hu, J., Cheng, Y., Peng, Y. (2018) 'A New Smart Mobile System for Chronic Wound Care Management.' IEEE Access, 6pp. 52355-52365.

    Modu, B., Polovina, N., Lan, Y., Konur, S., Asyhari, A., Peng, Y. (2017) 'Towards a Predictive Analytics-Based Intelligent Malaria Outbreak Warning System.' Applied Sciences, 7(8)

    Al-Shammari, M., Tobin, D.J., Peng, Y. (2016) 'Systematic associations between germ-line mutations and human cancers.' International Journal of Computational Biology and Drug Design, 9(1-2) pp. 135-148.

    Sultan, S.A., Liu, W., Peng, Y., Roberts, W., Whitelaw, D., Graham, A.M. (2015) 'The Role of Maternal Gestational Diabetes in Inducing Fetal Endothelial Dysfunction.' Journal of Cellular Physiology, 230(11) pp. 2695-2705.

    Li, Y.B., Zhou, X.Z., Zhang, R.S., Wang, Y.H., Peng, Y., Hu, J.Q., Xie, Q., Xue, Y.X., Xu, L.L., Liu, X.F., Liu, B.Y. (2015) 'Detection of herb-symptom associations from traditional Chinese medicine clinical data.' Evidence-based Complementary and Alternative Medicine, 2015

    Zhou, X., Li, Y., Peng, Y., Hu, J., Zhang, R., He, L., Wang, Y., Jiang, L., Yan, S., Li, P., Xie, Q., Liu, B. (2014) 'Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional Chinese medicine.' Frontiers of Medicine in China, 8(3) pp. 337-346.

    Li, X., Zhou, X., Peng, Y., Liu, B., Zhang, R., Hu, J., Yu, J., Jia, C., Sun, C. (2014) 'Network based integrated analysis of phenotype-genotype data for prioritization of candidate symptom genes.' BioMed Research International, 2014

    Peng, Y., Shi, R., Xiang, Y. (2013) 'Introduction to the special issue on Recent advance in signal processing, biomedical engineering and informatics.' Computers and Electrical Engineering, 39(5) pp. 1461-1463.

    Liu, W., Peng, Y., Tobin, D.J. (2013) 'A new 12-gene diagnostic biomarker signature of melanoma revealed by integrated microarray analysis.' PeerJ, 2013(1)

    Gdula, M.R., Poterlowicz, K., Mardaryev, A.N., Sharov, A.A., Peng, Y., Fessing, M.Y., Botchkarev, V.A. (2013) 'Remodeling of three-dimensional organization of the nucleus during terminal keratinocyte differentiation in the epidermis.' Journal of Investigative Dermatology, 133(9) pp. 2191-2201.

    McMahon, K.M., Volpato, M., Chi, H.Y., Musiwaro, P., Poterlowicz, K., Peng, Y., Scally, A.J., Patterson, L.H., Phillips, R.M., Sutton, C.W. (2012) 'Characterization of changes in the proteome in different regions of 3D multicell tumor spheroids.' Journal of Proteome Research, 11(5) pp. 2863-2875.

    Zhou, X., Peng, Y., Liu, B. (2010) 'Text mining for traditional Chinese medical knowledge discovery: A survey.' Journal of Biomedical Informatics, 43(4) pp. 650-660.

    Fessing, M.Y., Atoyan, R., Shander, B., Mardaryev, A.N., Botchkarev, V.V., Poterlowicz, K., Peng, Y., Efimova, T., Botchkarev, V.A. (2010) 'BMP signaling induces cell-type-specific changes in gene expression programs of human keratinocytes and fibroblasts.' Journal of Investigative Dermatology, 130(2) pp. 398-404.

    Peng, Y., Zhang, Y., Wang, L. (2010) 'Artificial intelligence in biomedical engineering and informatics: An introduction and review.' Artificial Intelligence in Medicine, 48(2-3) pp. 71-73.

    Peng, Y., Wu, Z., Jiang, J. (2010) 'A novel feature selection approach for biomedical data classification.' Journal of Biomedical Informatics, 43(1) pp. 15-23.

    Huang, Q., Wu, Y., Baruch, J., Jiang, P., Peng, Y. (2009) 'A template model for defect simulation for evaluating nondestructive testing in X-radiography.' IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 39(2) pp. 466-475.

    Soares, C., Peng, Y., Meng, J., Washio, T., Zhou, Z.H. (2008) 'Applications of data mining in E-business finance: Introduction.' Frontiers in Artificial Intelligence and Applications, 177(1) pp. 1-9.

    Peng, Y., Zhang, X. (2007) 'Integrative data mining in systems biology: from text to network mining.' Artificial Intelligence in Medicine, 41(2) pp. 83-86.

    Peng, Y. (2006) 'Integration of gene functional diversity for effective cancer detection.' International Journal of Systems Science, 37(13) pp. 931-938.

    Peng, Y. (2006) 'A novel ensemble machine learning for robust microarray data classification.' Computers in Biology and Medicine, 36(6) pp. 553-573.

    Peng, Y., Yao, B., Jiang, J. (2006) 'Knowledge-discovery incorporated evolutionary search for microcalcification detection in breast cancer diagnosis.' Artificial Intelligence in Medicine, 37(1) pp. 43-53.

    Thabtah, F.A., Cowling, P., Peng, Y. (2006) 'Multiple labels associative classification.' Knowledge and Information Systems, 9(1) pp. 109-129.

    Peng, Y. (2006) 'Empirical model decomposition based time-frequency analysis for the effective detection of tool breakage.' Journal of Manufacturing Science and Engineering, 128(1) pp. 154-166.

    Peng, Y.H. (2004) 'On the performance enhancement of self-tuning adaptive control for time-varying machining processes.' International Journal of Advanced Manufacturing Technology, 24(5-6) pp. 395-403.

    Peng, Y. (2004) 'Intelligent condition monitoring using fuzzy inductive learning.' Journal of Intelligent Manufacturing, 15(3) pp. 373-380.

  • Conference papers

    Qing, L., Li, L., Xu, S., Huang, Y., Liu, M., Jin, R., Liu, B., Niu, T., Wen, H., Wang, Y., Jiang, X., Peng, Y. (2021) 'Public Life in Public Space (PLPS): A multi-task, multi-group video dataset for public life research.' 2021-October. pp. 3611-3620.

    Kawi, O., Clawson, K., Dunn, P., Knight, D., Hodgson, J., Peng, Y. (2020) 'Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM.'

    Su, J., He, X., Qing, L., Yu, Y., Xu, S., Peng, Y. (2019) 'A New Discriminative Feature Learning for Person Re-Identification Using Additive Angular Margin Softmax Loss.'

    Liu, M., Han, L., Xiong, S., Qing, L., Ji, H., Peng, Y. (2019) 'Large-Scale Street Space Quality Evaluation Based on Deep Learning Over Street View Image.' 11902 LNCS. pp. 690-701.

    Wang, S., Huang, W., Peng, L., Pan, D., Huang, N., Hu, J., Peng, Y. (2019) 'Smart skin flap postsurgical pre-warning mobile app design.' 779. pp. 119-129.

    Ye, H., Zhu, J., Cheng, Y., Xue, D., Wang, B., Peng, Y. (2018) 'PPG based respiration signal estimation using VMDPCA.'

    Wang, X., Lan, Y., Su, F., Li, Z., Huang, C., Hao, Y., Yue, L., Cheng, Y., Peng, Y. (2018) 'Automatic stent strut detection in intravascular ultrasound using feature extraction and classification technique.' pp. 1172-1176.

    Zhao, W., Wu, Q., Espy, D.D., Reinthal, M.A., Luo, X., Peng, Y. (2017) 'A feasibility study on using a Kinect-based human motion tracking system to promote safe patient handling.' pp. 462-466.

    Zhao, W., Luo, X., Luo, C., Peng, Y. (2017) 'Design and implementation of project-based courses on cutting-edge computer technologies.' 2017-June.

    Modu, B., Asyhari, A.T., Peng, Y. (2017) 'Data Analytics of climatic factor influence on the impact of malaria incidence.'

    Zaka, M.U.H., Peng, Y., Sutton, C.W. (2015) 'Microarray big data integrated analysis to identify robust diagnostic signature for triple negative breast cancer.'

    Liu, W., Peng, Y., Tobin, D.J. (2015) 'Integrated analytics of microarray big data reveals robust gene signature.'

    Cheng, Y., Jiang, P., Peng, Y. (2015) 'Increasing big data front end processing efficiency via locality sensitive Bloom filter for elderly healthcare.'

    Egara, K., Peng, Y. (2015) 'Big data analytics of financial strategies.' pp. 529-535.

    Hassan, A., Zaka, M.U.H., Kouvatsos, D., Peng, Y. (2015) 'Integrated analysis of gene expression data for colon cancer biomarker discovery.' pp. 536-541.

    Zaka, M.U.H., Peng, Y., Sutton, C.W. (2014) 'Integrated microarray analytics for the discovery of gene signatures for triple-negative breast cancer.'

    Li, X., Zhou, X., Peng, Y., Zhang, R., Hu, J., Yu, J., Liu, B. (2013) 'Integrating phenotype-genotype data for prioritization of candidate symptom genes.' pp. 279-280.

    Wu, Z.Q., Jiang, J., Peng, Y.H. (2008) 'Effective features based on normal linear structures for detecting microcalcifications in mammograms.'

    Peng, Y., Huang, Q., Jiang, P., Jiang, J. (2006) 'Cost-sensitive ensemble of support vector machines for effective detection of microcalcification in breast cancer diagnosis.' 3614 LNAI. pp. 483-493.

    Ma, Y., Peng, Y. (2006) 'Co-expression gene discovery from microarray for integrative systems biology.' 4093 LNAI. pp. 808-818.

    Wu, Y., Huang, Q., Peng, Y., Situ, W. (2006) 'Detection of microcalcifications in digital mammograms based on dual-threshold.' 4046 LNCS. pp. 347-354.

    Wu, Z.Q., Jiang, J., Peng, Y.H., Gulsrud, T.O. (2006) 'A filter-based approach towards automatic detection of microcalcification.' 4046 LNCS. pp. 424-432.

    Thabtah, F., Cowling, P., Peng, Y. (2006) 'The impact of rule ranking on the quality of associative classifiers.' pp. 277-287.

    Thabtah, F., Cowling, P., Peng, Y. (2005) 'MCAR: Multi-class Classification based on Association Rule.' 2005. pp. 127-133.

    Peng, Y., Huang, Q., Jiang, P., Jiang, J. (2005) 'Cost-sensitive ensemble of support vector machines for effective detection of microcalcification in breast cancer diagnosis.' 3614. pp. 483-493.

    Peng, Y. (2005) 'Robust ensemble learning for cancer diagnosis based on microarray data classification.' 3584 LNAI. pp. 564-574.

    Jiang, P., Peng, Y., Mair, Q., Yuan, M. (2005) 'A Variable Resolution Virtual Sensor in Social Behaviour Networks.' 135. pp. 86-94.

    Jiang, P., Peng, Y., Mair, Q. (2004) 'Concept mining for distributed alliance in multi-agent based virtual enterprises.' pp. 843-848.

    Thabtah, F.A., Cowling, P., Peng, Y. (2004) 'MMAC: A new multi-class, multi-label associative classification approach.' pp. 217-224.

    Yao, B., Jiang, J., Peng, Y. (2004) 'A CBR driven genetic algorithm for microcalcification cluster detection.' 3257. pp. 494-496.