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Mingzhao Wang
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2020 – today
- 2024
- [j11]Haider Ali, Mingzhao Wang, Juanying Xie:
CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images. Cogn. Comput. 16(3): 1176-1197 (2024) - [j10]Juanying Xie, Xinglin Liu, Mingzhao Wang:
SFKNN-DPC: Standard deviation weighted distance based density peak clustering algorithm. Inf. Sci. 653: 119788 (2024) - [j9]Huan Yan, Mingzhao Wang, Juanying Xie:
ANN-DPC: Density peak clustering by finding the adaptive nearest neighbors. Knowl. Based Syst. 294: 111748 (2024) - [j8]Juanying Xie, Mingzhao Wang, Philip W. Grant, Witold Pedrycz:
Feature Selection With Discernibility and Independence Criteria. IEEE Trans. Knowl. Data Eng. 36(11): 6195-6209 (2024) - [c9]Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu, Changliang Zhou, You Zhou:
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. AAAI 2024: 20274-20283 - 2023
- [j7]Mingzhao Wang, Henry Han, Zhao Huang, Juanying Xie:
Unsupervised spectral feature selection algorithms for high dimensional data. Frontiers Comput. Sci. 17(5): 175330 (2023) - [j6]Ying Peng, Yandi Xu, Mingzhao Wang, Huiquan Zhang, Juanying Xie:
The nnU-Net based method for automatic segmenting fetal brain tissues. Health Inf. Sci. Syst. 11(1): 17 (2023) - [c8]Xinxin Liu, Huabin Wang, Mingzhao Wang, Liang Tao:
PalmKeyNet: Palm Template Protection Based on Multi-modal Shared Key. PRCV (5) 2023: 110-121 - [i1]Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu, Changliang Zhou, You Zhou:
Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. CoRR abs/2312.12469 (2023) - 2022
- [j5]Mingzhao Wang, Juanying Xie, Philip W. Grant, Shengquan Xu:
PSP-PJMI: An innovative feature representation algorithm for identifying DNA N4-methylcytosine sites. Inf. Sci. 606: 968-983 (2022) - [j4]Juanying Xie, Mingzhao Wang, Xiaoxiao Lu, Xinglin Liu, Philip W. Grant:
DP-k-modes: A self-tuning k-modes clustering algorithm. Pattern Recognit. Lett. 158: 117-124 (2022) - [c7]Juanying Xie, Xinglin Liu, Mingzhao Wang, Wenjie Zhang:
SDW-DPC: An Advanced Clustering Algorithm by Searching Density Peaks using Standard Deviation Weighted Distance. CCIS 2022: 131-137 - [c6]Mingzhao Wang, Weiliang Jiang, Juanying Xie:
The Differential Gene Detecting Method for Identifying Leukemia Patients. IEA/AIE 2022: 137-146
2010 – 2019
- 2019
- [j3]Mingzhao Wang, Linglong Ding, Meng Xu, Juanying Xie, Shengli Wu, Shengquan Xu, Yingmin Yao, Qingguang Liu:
A novel method detecting the key clinic factors of portal vein system thrombosis of splenectomy & cardia devascularization patients for cirrhosis & portal hypertension. BMC Bioinform. 20-S(22): 720 (2019) - 2018
- [c5]Juanying Xie, Xinyuan Ji, Mingzhao Wang:
Extreme Learning Machine Based Diagnosis Models for Erythemato-Squamous Diseases. HIS 2018: 61-74 - 2016
- [j2]Mingzhao Wang, Yuping Wang, Xiaoli Wang:
A Space Division Multiobjective Evolutionary Algorithm Based on Adaptive Multiple Fitness Functions. Int. J. Pattern Recognit. Artif. Intell. 30(3): 1659005:1-1659005:25 (2016) - [c4]Juanying Xie, Ying Li, Ying Zhou, Mingzhao Wang:
Differential Feature Recognition of Breast Cancer Patients Based on Minimum Spanning Tree Clustering and F-statistics. HIS 2016: 194-204 - [c3]Juanying Xie, Mingzhao Wang, Ying Zhou, Jinyan Li:
Coordinating Discernibility and Independence Scores of Variables in a 2D Space for Efficient and Accurate Feature Selection. ICIC (3) 2016: 116-127 - 2014
- [c2]Mingzhao Wang, Xiaoli Wang, Yuping Wang, Zhen Wei:
An Adaptive Co-evolutionary Algorithm Based on Genotypic Diversity Measure. CIS 2014: 21-24 - 2013
- [j1]Mingzhao Wang, Xiaoli Wang, Kun Meng, Yuping Wang:
New Model and Genetic Algorithm for Divisible Load Scheduling in Heterogeneous Distributed Systems. Int. J. Pattern Recognit. Artif. Intell. 27(7) (2013) - 2012
- [c1]Xiaofang Guo, Xiaoli Wang, Mingzhao Wang, Yuping Wang:
A New Objective Reduction Algorithm for Many-Objective Problems: Employing Mutual Information and Clustering Algorithm. CIS 2012: 11-16
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