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Fingerprint enhancement using multi-scale classification dictionaries with reduced dimensionality (2020)
Journal Article
Bian, W., Xu, D., Cheng, Y., Li, Q., Luo, Y., & Yu, Q. (in press). Fingerprint enhancement using multi-scale classification dictionaries with reduced dimensionality. IET Biometrics, https://doi.org/10.1049/iet-bmt.2019.0121

In order to improve the quality of fingerprint with large noise, this paper proposes a fingerprint enhancement method by using a sparse representation of learned multi-scale classification dictionaries with reduced dimensionality. Mul... Read More about Fingerprint enhancement using multi-scale classification dictionaries with reduced dimensionality.

Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images (2020)
Journal Article
Yang, Z., Cao, F., Cheng, Y., Ling, W., & Hu, R. (in press). Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, 1-16. https://doi.org/10.1109/tgrs.2020.2988900

Despite the successful applications of probabilistic collaborative representation classification (PCRC) in pattern classification, it still suffers from two challenges when being applied on hyperspectral images (HSIs) classification: 1) ineffective f... Read More about Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images.

Local keypoint-based Faster R-CNN (2020)
Journal Article
Ding, X., Li, Q., Cheng, Y., Wang, J., Bian, W., & Jie, B. (in press). Local keypoint-based Faster R-CNN. Applied Intelligence, https://doi.org/10.1007/s10489-020-01665-9

Region-based Convolutional Neural Network (R-CNN) detectors have achieved state-of-the-art results on various challenging benchmarks. Although R-CNN has achieved high detection performance, the research of local information in producing candidates is... Read More about Local keypoint-based Faster R-CNN.

Bio-AKA: An efficient fingerprint based two factor user authentication and key agreement scheme (2020)
Journal Article
Bian, W., Gope, P., Cheng, Y., & Li, Q. (2020). Bio-AKA: An efficient fingerprint based two factor user authentication and key agreement scheme. Future generations computer systems : FGCS, 109, 45-55. https://doi.org/10.1016/j.future.2020.03.034

The fingerprint has long been used as one of the most important biological features in the field of biometrics. It is person-specific and remain identical though out one’s lifetime. Physically uncloneable functions (PUFs) have been used in authentica... Read More about Bio-AKA: An efficient fingerprint based two factor user authentication and key agreement scheme.

Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography (2019)
Journal Article
Huang, C., Lan, Y., Chen, S., Liu, Q., Luo, X., Xu, G., …Che, W. (2019). Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography. Complexity, 2019, 1-10. https://doi.org/10.1155/2019/5712594

Despite the new ideas were inspired in medical treatment by the rapid advancement of three-dimensional (3D) printing technology, there is still rare research work reported on 3D printing of coronary arteries being documented in the literature. In thi... Read More about Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography.

An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health (2019)
Journal Article
Xu, G., Lan, Y., Zhou, W., Huang, C., Li, W., Zhang, W., …Che, W. (2019). An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health. IEEE access : practical innovations, open solutions, 7, 173866-173874. https://doi.org/10.1109/access.2019.2957149

Recently, telemedicine has been widely applied in remote diagnosis, treatment and counseling, where the Internet of Things (IoT) technology plays an important role. In the process of telemedicine, data are collected from remote medical equipment, suc... Read More about An IoT-Based Framework of Webvr Visualization for Medical Big Data in Connected Health.

Lumen Contour Segmentation in IVOCT Based on N-type CNN (2019)
Journal Article
Tang, J., Lan, Y., Chen, S., Zhong, Y., Huang, C., Peng, Y., …Che, W. (2019). Lumen Contour Segmentation in IVOCT Based on N-type CNN. IEEE access : practical innovations, open solutions, 7, 135573-135581. https://doi.org/10.1109/access.2019.2941899

Automatic segmentation of lumen contour plays an important role in medical imaging and diagnosis, which is the first step towards the evaluation of morphology of vessels under analysis and the identification of possible atherosclerotic lesions. Meanw... Read More about Lumen Contour Segmentation in IVOCT Based on N-type CNN.

Ensemble MultiBoost Based on RIPPER Classifier for Prediction of Imbalanced Software Defect Data (2019)
Journal Article
He, H., Zhang, X., Wang, Q., Ren, J., Liu, J., Zhao, X., & Cheng, Y. (2019). Ensemble MultiBoost Based on RIPPER Classifier for Prediction of Imbalanced Software Defect Data. IEEE access : practical innovations, open solutions, 7, 110333-110343. https://doi.org/10.1109/access.2019.2934128

Identifying defective software entities is essential to ensure software quality during software development. However, the high dimensionality and class distribution imbalance of software defect data seriously affect software defect prediction perform... Read More about Ensemble MultiBoost Based on RIPPER Classifier for Prediction of Imbalanced Software Defect Data.

A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation (2019)
Journal Article
Lan, Y., Zhou, Y., Lu, Y., Wang, H., Liu, Q., Ng, E. Y. K., …Che, W. (2019). A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation. IEEE access : practical innovations, open solutions, 7, 112564-112571. https://doi.org/10.1109/access.2019.2934155

Coronary artery disease has emerged as one of the major diseases causing death worldwide. Coronary stent has great effect to improve blood flow to the myocardium subtended by that artery, in which bioresorbable vascular scaffolds are new-generation s... Read More about A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation.

Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks (2019)
Journal Article
Zhou, W., Jia, J., Huang, C., & Cheng, Y. (2020). Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks. Tsinghua Science and Technology, 25(1), 93-102. https://doi.org/10.26599/TST.2018.9010113

With the rapid development of Web3D technologies, sketch-based model retrieval has become an increasingly important challenge, while the application of Virtual Reality and 3D technologies has made shape retrieval of furniture over a web browser feasi... Read More about Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks.

DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values (2019)
Journal Article
Wang, Q., Cao, W., Guo, J., Ren, J., Cheng, Y., & Davis, D. N. (2019). DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values. IEEE access : practical innovations, open solutions, 7, 102232-102238. https://doi.org/10.1109/access.2019.2929866

As a widely known chronic disease, diabetes mellitus is called a silent killer. It makes the body produce less insulin and causes increased blood sugar, which leads to many complications and affects the normal functioning of various organs, such as e... Read More about DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values.

Interpretable emotion recognition using EEG signals (2019)
Journal Article
Qing, C., Qiao, R., Xu, X., & Cheng, Y. (2019). Interpretable emotion recognition using EEG signals. IEEE access : practical innovations, open solutions, 7, 94160-94170. https://doi.org/10.1109/access.2019.2928691

Electroencephalogram (EEG) signal-based emotion recognition has attracted wide interests in recent years and has been broadly adopted in medical, affective computing, and other relevant fields. However, the majority of the research reported in this f... Read More about Interpretable emotion recognition using EEG signals.

A clustering based transfer function for volume rendering using gray-gradient mode histogram (2019)
Journal Article
Lan, Y., Ding, Y., Luo, X., Zhang, Y., Huang, C., Ng, E., …Che, W. (2019). A clustering based transfer function for volume rendering using gray-gradient mode histogram. IEEE access : practical innovations, open solutions, 7, 80737-80747. https://doi.org/10.1109/access.2019.2923080

Volume rendering is an emerging technique widely used in the medical field to visualize human organs using tomography image slices. In volume rendering, sliced medical images are transformed into attributes, such as color and opacity through transfer... Read More about A clustering based transfer function for volume rendering using gray-gradient mode histogram.

A Survey of the Methods on Fingerprint Orientation Field Estimation (2019)
Journal Article
Bian, W., Xu, D., Li, Q., Cheng, Y., Jie, B., & Ding, X. (2019). A Survey of the Methods on Fingerprint Orientation Field Estimation. IEEE access : practical innovations, open solutions, 7, 32644-32663. https://doi.org/10.1109/access.2019.2903601

Fingerprint orientation field (FOF) estimation plays a key role in enhancing the performance of the automated fingerprint identification system (AFIS): accurate estimation of FOF can evidently improve the performance of AFIS. However, despite the eno... Read More about A Survey of the Methods on Fingerprint Orientation Field Estimation.

A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm (2019)
Journal Article
Huang, C., Tian, G., Lan, Y., Peng, Y., Ng, E. Y. K., Hao, 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, https://doi.org/10.3389/fnins.2019.00210

Recent research has reported the application of image fusion technologies in medical images in a wide range of aspects, such as in the diagnosis of brain diseases, the detection of glioma and the diagnosis of Alzheimer’s disease. In our study, a new... Read More about A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm.

Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm (2019)
Journal Article
Zhang, B., Ren, J., Wang, B., Cheng, Y., & Wei, Z. (2019). Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm. IEEE access : practical innovations, open solutions, 7, 32423 - 32433. https://doi.org/10.1109/access.2019.2902217

Diseases related to issues with blood pressure are becoming a major threat to human health. With the development of telemedicine monitoring applications, a growing number of corresponding devices are being marketed, such as the usage of remote monito... Read More about Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm.

Automatic classification method for software vulnerability based on deep neural network (2019)
Journal Article
Huang, G., Li, Y., Wang, Q., Ren, J., Cheng, Y., & Zhao, X. (2019). Automatic classification method for software vulnerability based on deep neural network. IEEE access : practical innovations, open solutions, 7, 28291 - 28298. https://doi.org/10.1109/access.2019.2900462

Software vulnerabilities are the root causes of various security risks. Once a vulnerability is exploited by malicious attacks, it will greatly compromise the safety of the system, and may even cause catastrophic losses. Hence automatic classificatio... Read More about Automatic classification method for software vulnerability based on deep neural network.

Predicting blood pressure from physiological index data using the SVR algorithm (2019)
Journal Article
Zhang, B., Ren, H., Huang, G., Cheng, Y., & Hu, C. (2019). Predicting blood pressure from physiological index data using the SVR algorithm. BMC Bioinformatics, 20(1), https://doi.org/10.1186/s12859-019-2667-y

Background Blood pressure diseases have increasingly been identified as among the main factors threatening human health. How to accurately and conveniently measure blood pressure is the key to the implementation of effective prevention and control m... Read More about Predicting blood pressure from physiological index data using the SVR algorithm.

Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks (2019)
Journal Article
Gope, P., Das, A. K., Kumar, N., & Cheng, Y. (2019). Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks. IEEE Transactions on Industrial Informatics, 1-1. https://doi.org/10.1109/tii.2019.2895030

Industrial Wireless Sensor Network (IWSN) is an emerging class of a generalized Wireless Sensor Network (WSN) having constraints of energy consumption, coverage, connectivity, and security. However, security and privacy is one of the major challenges... Read More about Lightweight and physically secure anonymous mutual authentication protocol for real-time data access in industrial wireless sensor networks.


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