2D NMR metabonomic analysis: a novel method for automated peak alignment. - Ming Zheng; Peng Lu; Yanzhou Liu 002; Joseph Pease; Jonathan Usuka; Guochun Liao; Gary Peltz (Bioinform., 2007)

Particle Swarm-Simulated Annealing Fusion Algorithm and its Application in Function Optimization. - Hao Pan; Ming Zheng; Xiaolei Han (CSSE (1), 2008)

Gene Regulatory Network Reconstruction with Multiple Dataset Fusion and Differential Equation. - Ming Zheng; Guixia Liu; Deping Wang; Yan Wang 028; Chunguang Zhou; Yuan Tian 016 (FCST, 2010)

Gravitation field algorithm and its application in gene cluster. - Ming Zheng; Guixia Liu; Chunguang Zhou; Yanchun Liang 001; Yan Wang 028 (Algorithms Mol. Biol., 2010)

Modeling analysis of the new kappa opioid receptor antagonist tracer [11C]LY2795050 in humans. - 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 (NeuroImage, 2010)

Anonymous Communication over Invisible Mix Rings. - Ming Zheng; Hai-Xin Duan; Jianping Wu (ICA3PP (1), 2011)

Research on the Anti-attack Design Principles of Low-Latency Anonymous Communication. - Ming Zheng; Jianping Wu; Hai-Xin Duan (TrustCom/ISPA/IUCC, 2013)

Empirical likelihood method for multivariate Cox regression. - Ming Zheng; Wen Yu 002 (Comput. Stat., 2013)

Quantile regression analysis of case-cohort data. - Ming Zheng; Ziqiang Zhao; Wen Yu 002 (J. Multivar. Anal., 2013)

Exhaust gas recirculation control through extremum seeking in a Low Temperature Combustion diesel engine. - Qingyuan Tan; Prasad Divekar; Xiang Chen 011; Ming Zheng; Yonghong Tan 001 (ACC, 2014)

Nonlinear model reference observer design for feedback control of a low temperature combustion diesel engine. - Prasad Divekar; Qingyuan Tan; Ying Tan 001; Xiang Chen 011; Ming Zheng (ACC, 2015)

Wiener structure based model identification for an electronic throttle body. - Qingyuan Tan; Hongli Gao; Xiang Chen 011; Ming Zheng (ICCA, 2017)

Example-based brushes for coherent stylized renderings. - Ming Zheng; Antoine Milliez; Markus H. Gross; Robert W. Sumner (NPAR@Expressive, 2017)

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). - Ming Zheng; Tong Li 004; Ying Lin 004; Xiaoxuan Zhou; Xiang Li; Li Ming (计算机科学, 2017)

Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden. - Dianbo Liu; Néstor Sepúlveda; Ming Zheng (CoRR, 2018)

构件动态演化内部一致性保证方法 (Internal Consistency Preserving for Component Dynamic Evolution). - Ming Zheng; Tong Li 004; Qi Mo; Xiaoxuan Zhou; Wenkun Xiang; Yun He (计算机科学, 2018)

Adaptive Scheduling Algorithm for Hadoop Node Capability in Heterogeneous Resource Environment. - Ming Zheng; Mugui Zhuo (CSIA, 2019)

Development of Hadoop Massive Data Migration System. - Ming Zheng; Mugui Zhuo (CSIA, 2019)

Optimization of Fermentation Medium of Camphor Lucidum Based on Artificial Neural Network and Genetic Algorithm. - Ming Zheng; Haixiao Gong (DPTA, 2019)

Traffic Accident's Severity Prediction: A Deep-Learning Approach-Based CNN Network. - Ming Zheng; Tong Li 004; Rui Zhu 009; Jing Chen; Zifei Ma; Mingjing Tang; Zhongqiang Cui; Zhan Wang (IEEE Access, 2019)

Automatic Real-Time Mining Software Process Activities From SVN Logs Using a Naive Bayes Classifier. - Rui Zhu 009; Yichao Dai; Tong Li 004; Zifei Ma; Ming Zheng; Yahui Tang; Jiayi Yuan; Yue Huang (IEEE Access, 2019)

Conditional Wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification. - Ming Zheng; Tong Li 004; Rui Zhu 009; Yahui Tang; Mingjing Tang; Leilei Lin; Zifei Ma (Inf. Sci., 2020)

A data-driven risk measurement model of software developer turnover. - Zifei Ma; Ruiyin Li; Tong Li 004; Rui Zhu 009; Rong Jiang; Juan Yang; Mingjing Tang; Ming Zheng (Soft Comput., 2020)

UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification. - Ming Zheng; Tong Li 004; Xiaoyao Zheng; Qingying Yu; Chuanming Chen; Ding Zhou; Changlong Lv; Weiyi Yang (Inf. Sci., 2021)

An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification. - Ming Zheng; Tong Li 004; Liping Sun; Taochun Wang; Biao Jie; Weiyi Yang; Mingjing Tang; Changlong Lv (Knowl. Based Syst., 2021)

A Method for Analyzing the Performance Impact of Imbalanced Binary Data on Machine Learning Models. - Ming Zheng; Fei Wang; Xiaowen Hu; Yuhao Miao; Huo Cao; Mingjing Tang (Axioms, 2022)

Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions. - Ruofan Wu; Jiawei Qiao; Mingzhe Wu; Wen Yu 002; Ming Zheng; Tengfei Liu; Tianyi Zhang; Weiqiang Wang 002 (NeurIPS, 2023)

Building high performance transistors on carbon nanotube channel. - Gregory Pitner; Nathaniel Safron; Tzu-Ang Chao; Shengman Li; Sheng-Kai Su; Gilad Zeevi; Qing Lin; Hsin-Yuan Chiu; Matthias Passlack; Zichen Zhang 019; D. Mahaveer Sathaiya; Aslan Wei; et al. (VLSI Technology and Circuits, 2023)

SCL-SKG: software knowledge extraction with span-level contrastive learning. - Mingjing Tang; Shu Zhang 011; Ming Zheng; Zifei Ma; Wei Gao (Artif. Intell. Rev., 2023)

FIAO: Feature Information Aggregation Oversampling for imbalanced data classification. - Fei Wang; Ming Zheng; Xiaowen Hu; Hongchao Li; Taochun Wang; Fulong Chen 002 (Appl. Soft Comput., 2024)

SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced Data. - Ming Zheng; Yang Yang; Zhi-Hang Zhao; Shan-Chao Gan; Yang Chen; Si-Kai Ni; Yang Lu (CoRR, 2024)

Deep non-parametric logistic model with case-control data and external summary information. - Hengchao Shi; Ming Zheng; Wen Yu (CoRR, 2024)

Exploratory parallel hybrid sampling framework for imbalanced data classification. - Ming Zheng; Zhuo Zhao; Fei Wang; Xiaowen Hu; Sheng Xu; Wanggen Li; Tong Li 004 (Eng. Appl. Artif. Intell., 2024)

Which standard classification algorithm has more stable performance for imbalanced network traffic data? - Ming Zheng; Kai Ma; Fei Wang; Xiaowen Hu; Qingying Yu; Liangmin Guo; Fulong Chen 002 (Soft Comput., 2024)

UFIDSF: An undersampling approach based on feature importance and double side filter for imbalanced data classification. - Ming Zheng; Fei Wang; Xiaowen Hu; Liangchen Hu; Qingying Yu; Xiaoyao Zheng (Future Gener. Comput. Syst., 2025)

Resampling approach for imbalanced data classification based on class instance density per feature value intervals. - Fei Wang; Ming Zheng; Kai Ma; Xiaowen Hu (Inf. Sci., 2025)

Fed-UGI: Federated Undersampling Learning Framework With Gini Impurity for Imbalanced Network Intrusion Detection. - Ming Zheng; Xiaowen Hu; Ying Hu 006; Xiaoyao Zheng; Yonglong Luo (IEEE Trans. Inf. Forensics Secur., 2025)