Xuan Jiao

Beijing Tongren Hospital

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Xingshuo Li

Nanjing Normal University

Weidong Xiao

University of Sydney

Hai Tian

Second Affiliated Hospital of Harbin Medical University

Shujie Guo

Henan Provincial People's Hospital

Ming Huang

Universität Hamburg

Fengju Zhang

Shandong University

Shuye Ding

Nanjing Normal University

Mingshen Sun

Capital Medical University

Mengmeng Wang

Beijing Normal University

Haiying Zhou

Capital Medical University

Cooperative Institutions

Capital Medical University

Beijing Tongren Hospital

Harbin Medical University

Second Affiliated Hospital of Harbin Medical University

Peking University

Chinese Academy of Medical Sciences & Peking Union Medical College

Sun Yat-sen University

Dalian Jiaotong University

Huazhong University of Science and Technology

Chinese Academy of Sciences

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Clinical progress of bicuspid malformation of aortic valve

Chin J Cardiovasc Med (2019)

Xuan Jiao Wei Chen Lu Sun Chunfeng Zhang

With the progress of medical technology, the detection rate of bicuspid aortic valve (BAV) are increasing year by year, so it is necessary to pay attention to the diagnosis and treatment of BAV. In this article, we reviewed the research progress of gene, morphology, clinical characteristics, diagnosis and treatment of BAV, to guide the diagnosis and treatment of BAV in the future, and provide some direction for future research. Key words: Bicuspid aortic valve; Genes; Clinical characteristics; Treatment

Medical treatment

10.3969/j.issn.1007-5410.2019.03.020

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Research on regression test case selection based on improved genetic algorithm

Ming Huang Shujie Guo Liang Xu Xuan Jiao

In order to get the optimum selection of the test cases, an approach based on an improved genetic algorithm is proposed. Genetic operators of selection, crossover and mutation are improved, which effectively improve the algorithm's global search ability. Experiments are carried out to verify the feasibility of the improved algorithm. The result shows, compared with classical algorithm, the improved algorithm greatly improves the search performance; and it is effective in solving regression test case selection problem.

Regression testing

10.1109/iccsnt.2013.6967108

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Assessment of the impact of low-density lipoprotein cholesterol on retinal vessels using optical coherence tomography angiography

Lipids in Health and Disease (2024)

He Yu Mingzhao Qin Kai Cao Yongpeng Zhang Xuan Jiao

Low-density lipoprotein cholesterol (LDL-C) is acknowledged as an independent risk factor (IRF) for atherosclerotic cardiovascular disease. Nevertheless, studies on the impact of LDL-C on microvasculature are still scarce. The retina, abundant in microvasculature, can now be examined for microvascular alterations through the novel, non-invasive, and quantitative optical coherence tomography angiography (OCTA) technique.

Lipidology

10.1186/s12944-024-02287-7

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The Applied Research of Improved Genetic Algorithm in Data Automatic Generation of Software Test

Ming Huang Sining Liu Xuan Jiao

Software test is the inevitable process of software develop, while the automatic generation of test data can save time and resource cost in the stage of software test. In order to improve the efficiency of test automation, this paper would like to improve the basic genetic algorithm and then apply it to the automatic generation mode of software test data. In the improved genetic algorithm, the reasonable fitness function is designed, the selection operator is operated by tournament selection method and introduce simulated annealing mechanism to improve adaptive crossover operator and mutation operator. Through the comparison between basic genetic algorithm and improved genetic algorithm, the performance analysis is conducted. The experiment shows the high efficiency of new algorithm in automatic generation process of test cases.

Test Management Approach

Tournament selection

10.1109/iccsnt53786.2021.9615470

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Citations (2)

Combinatorial Test Case Suite Generation Based on Differential Evolution Algorithm

Journal of Software (2014)

Xu Liang Shujie Guo Ming Huang Xuan Jiao

The combinatorial testing, an effective way to improve the efficiency of software testing, is an important means to ensure the quality of software. In the combinatorial testing, the key is the combinatorial test case suite generation. According to the characteristics of the combinatorial test case suite generation problem, this paper proposes a differential evolution algorithm based on the one-test-at-a-time strategy for the solution to this problem. Through the experiments, this paper compares optimized performances of different mutations, explores the influence of algorithm parameters on the optimized performance and verifies the effectiveness and advancement of the solution.

Test suite

Differential Evolution

10.4304/jsw.9.6.1479-1484

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Citations (5)

A predictive power ramp rate control scheme with an updating Gaussian prediction confidence estimator for PV systems

Solar Energy (2024)

Xuan Jiao Xingshuo Li Zhihong Ge Yongheng Yang Weidong Xiao

10.1016/j.solener.2024.112648

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Citations (2)

PMD23 One Year Healthcare Utilization and Expenditures Among Patients with Clinically Significant Mitral Regurgitation in Taiwan

Value in Health (2021)

Ching‐Hu Chung Y.J. WANG C.Y. Lee Xuan Jiao

Etiology

10.1016/j.jval.2021.04.621

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A Novel Fault Diagnosis Scheme for PV Plants Based on Real-Time System State Identification

IEEE Journal of Photovoltaics (2023)

Xuan Jiao Xingshuo Li Tangwu Yang Yongheng Yang Weidong Xiao

A large-scale photovoltaic (PV) power plant is composed of hundreds or thousands of solar panels, which makes fault diagnosis a challenging problem due to its complexity. It is known that the PV power output characteristics dramatically change with environmental conditions. Thus, it is difficult to distinguish a short-circuit line fault from mismatching conditions induced by partial shading or unbalanced generation. The article proposes a novel fault diagnosis scheme that is based on real-time system identification to determine normal or abnormal operations. It does not require any additional hardware or measurement support. The identification and analysis include both short- and long-term characteristics of the generation system to mitigate disturbances and improve the robustness. The effectiveness of the proposed scheme is validated by simulations and experiments under a wide range of test conditions.

Robustness

Identification

10.1109/jphotov.2023.3262950

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Citations (8)

Research of job-shop scheduling problem based on improved crossover strategy genetic algorithm

Xiaobing Liu Xuan Jiao Chen Li Ming Huang

The article proposes a crossover strategy improved genetic algorithm to solve the shop scheduling problem for the traditional genetic algorithm. The algorithm uses coding method, based on the process and the introduction of the linear weighted fitness function, the greedy count sub-fitness ratio algorithm combined select operation. The improved algorithm is able to improve search efficiency, accuracy, and avoid premature shortcomings.

10.1109/iccsnt.2013.6967051

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Citations (1)

PCV58 Transcatheter Aortic Valve Implantation VS. Surgical Aortic Valve Replacement for Aortic Stenosis in Taiwan: A Population-Based Cohort Study

Value in Health (2021)

Ching‐Hu Chung Y.J. W.A.N.G.Xuan Jiao C.Y. Lee

10.1016/j.jval.2021.04.397

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Citations (0)