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Ming Zheng
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2020 – today
- 2024
- [j19]Fei Wang, Ming Zheng
, Xiaowen Hu, Hongchao Li, Taochun Wang, Fulong Chen
FIAO: Feature Information Aggregation Oversampling for imbalanced data classification. Appl. Soft Comput. 161: 111774 (2024) - [j18]Ming Zheng
Exploratory parallel hybrid sampling framework for imbalanced data classification. Eng. Appl. Artif. Intell. 138: 109428 (2024) - [j17]Dongsheng Xu, Chuanming Chen, Qi Jin, Ming Zheng, Tianjiao Ni, Qingying Yu:
Abnormal-trajectory detection method based on sub-trajectory classification and outlier-factor acquisition. J. Intell. Fuzzy Syst. 46(4): 8477-8496 (2024) - [j16]Ming Zheng
Which standard classification algorithm has more stable performance for imbalanced network traffic data? Soft Comput. 28(1): 217-234 (2024) - [i4]Ming Zheng, Yang Yang, Zhi-Hang Zhao, Shan-Chao Gan, Yang Chen, Si-Kai Ni, Yang Lu:
SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced Data. CoRR abs/2403.05918 (2024) - [i3]Hengchao Shi, Ming Zheng, Wen Yu:
Deep non-parametric logistic model with case-control data and external summary information. CoRR abs/2409.01829 (2024) - 2023
- [j15]Mingjing Tang
SCL-SKG: software knowledge extraction with span-level contrastive learning. Artif. Intell. Rev. 56(S2): 2383-2406 (2023) - [c13]Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei Liu, Tianyi Zhang, Weiqiang Wang:
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. NeurIPS 2023 - [c12]Gregory Pitner, Nathaniel Safron, Tzu-Ang Chao, Shengman Li, Sheng-Kai Su, Gilad Zeevi, Qing Lin
Building high performance transistors on carbon nanotube channel. VLSI Technology and Circuits 2023: 1-2 - [i2]Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. CoRR abs/2303.10358 (2023) - 2022
- [j14]Ming Zheng
A Method for Analyzing the Performance Impact of Imbalanced Binary Data on Machine Learning Models. Axioms 11(11): 607 (2022) - 2021
- [j13]Ming Zheng
UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification. Inf. Sci. 576: 658-680 (2021) - [j12]Ming Zheng
An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification. Knowl. Based Syst. 216: 106800 (2021) - 2020
- [j11]Ming Zheng
Conditional Wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification. Inf. Sci. 512: 1009-1023 (2020) - [j10]Zifei Ma, Ruiyin Li
A data-driven risk measurement model of software developer turnover. Soft Comput. 24(2): 825-842 (2020)
2010 – 2019
- 2019
- [j9]Ming Zheng
Traffic Accident's Severity Prediction: A Deep-Learning Approach-Based CNN Network. IEEE Access 7: 39897-39910 (2019) - [j8]Rui Zhu
Automatic Real-Time Mining Software Process Activities From SVN Logs Using a Naive Bayes Classifier. IEEE Access 7: 146403-146415 (2019) - [c11]Ming Zheng, Mugui Zhuo:
Adaptive Scheduling Algorithm for Hadoop Node Capability in Heterogeneous Resource Environment. CSIA 2019: 1332-1336 - [c10]Ming Zheng, Mugui Zhuo:
Development of Hadoop Massive Data Migration System. CSIA 2019: 1427-1431 - [c9]Ming Zheng, Haixiao Gong:
Optimization of Fermentation Medium of Camphor Lucidum Based on Artificial Neural Network and Genetic Algorithm. DPTA 2019: 1179-1183 - 2018
- [j7]Ming Zheng, Tong Li, Qi Mo, Xiaoxuan Zhou, Wenkun Xiang, Yun He:
构件动态演化内部一致性保证方法 (Internal Consistency Preserving for Component Dynamic Evolution). 计算机科学 45(3): 151-157 (2018) - [i1]Dianbo Liu, Néstor Sepúlveda, Ming Zheng:
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden. CoRR abs/1812.09659 (2018) - 2017
- [j6]Ming Zheng, Tong Li, Ying Lin, Xiaoxuan Zhou, Xiang Li, Li Ming:
构件系统建模及其动态演化一致性验证方法 (Dynamic Evolution Consistency Verification Method for Component System Modeling). 计算机科学 44(11): 80-86 (2017) - [c8]Qingyuan Tan, Hongli Gao, Xiang Chen, Ming Zheng:
Wiener structure based model identification for an electronic throttle body. ICCA 2017: 18-22 - [c7]Ming Zheng, Antoine Milliez, Markus H. Gross
Example-based brushes for coherent stylized renderings. NPAR@Expressive 2017: 3:1-3:10 - 2015
- [c6]Prasad Divekar, Qingyuan Tan, Ying Tan
Nonlinear model reference observer design for feedback control of a low temperature combustion diesel engine. ACC 2015: 13-18 - 2014
- [c5]Qingyuan Tan, Prasad Divekar, Xiang Chen, Ming Zheng, Yonghong Tan:
Exhaust gas recirculation control through extremum seeking in a Low Temperature Combustion diesel engine. ACC 2014: 1511-1516 - 2013
- [j5]Ming Zheng
Empirical likelihood method for multivariate Cox regression. Comput. Stat. 28(3): 1241-1267 (2013) - [j4]Ming Zheng
Quantile regression analysis of case-cohort data. J. Multivar. Anal. 122: 20-34 (2013) - [c4]Ming Zheng, Jianping Wu, Hai-Xin Duan:
Research on the Anti-attack Design Principles of Low-Latency Anonymous Communication. TrustCom/ISPA/IUCC 2013: 651-658 - 2011
- [c3]Ming Zheng, Hai-Xin Duan, Jianping Wu:
Anonymous Communication over Invisible Mix Rings. ICA3PP (1) 2011: 182-193 - 2010
- [j3]Ming Zheng, Guixia Liu, Chunguang Zhou, Yanchun Liang, Yan Wang:
Gravitation field algorithm and its application in gene cluster. Algorithms Mol. Biol. 5: 32 (2010) - [j2]Giampaolo Tomasi, Shu-Fei Lin, Ming Zheng, Beata Planeta-Wilson, Shannan Henry, Nancy A. Goebl, Johannes T. Tauscher, Henry Huang, Alexander Neumeister, Richard E. Carson:
Modeling analysis of the new kappa opioid receptor antagonist tracer [11C]LY2795050 in humans. NeuroImage 52(Supplement-1): S39 (2010) - [c2]Ming Zheng, Guixia Liu, Deping Wang, Yan Wang, Chunguang Zhou, Yuan Tian:
Gene Regulatory Network Reconstruction with Multiple Dataset Fusion and Differential Equation. FCST 2010: 454-458
2000 – 2009
- 2008
- [c1]Hao Pan, Ming Zheng, Xiaolei Han:
Particle Swarm-Simulated Annealing Fusion Algorithm and its Application in Function Optimization. CSSE (1) 2008: 78-81 - 2007
- [j1]Ming Zheng, Peng Lu, Yanzhou Liu, Joseph Pease, Jonathan Usuka, Guochun Liao, Gary Peltz:
2D NMR metabonomic analysis: a novel method for automated peak alignment. Bioinform. 23(21): 2926-2933 (2007)
Coauthor Index
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last updated on 2024-11-11 22:26 CET by the dblp team
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