Using Quasirandom Weights in Neural Networks. - Peter G. Anderson; Ming Ge; Sanjay Raghavendra; Mei-Ling Lung; Roger S. Gaborski (Intell. Autom. Soft Comput., 1998)

Decentralized relay-based multivariable process identification in the frequency domain. - Ya-Gang Wang; Wen-Jian Cai; Ming Ge (IEEE Trans. Autom. Control., 2003)

An effective learning approach for nonlinear system modeling. - Liu San; Ming Ge (ISIC, 2004)

A Real-time Monitoring and Diagnosis System for Manufacturing Automation. - Yangsheng Xu; Ming Ge; Ruxu Du (ICRA, 2004)

Intelligent Diagnosis in Electromechanical Operation Systems. - Shui Yuan; Ming Ge; Hai Qiu; Jay Lee; Yangsheng Xu (ICRA, 2004)

Condition Monitoring using Marginal Energy and Hidden Markov Model. - Ming Ge; Ruxu Du; Yangsheng Xu (Control. Intell. Syst., 2004)

Hidden Markov model-based process monitoring system. - Yangsheng Xu; Ming Ge (J. Intell. Manuf., 2004)

Robust H - Infinity Filtering for A Class of Uncertain Nonlinear Singular Delay Systems. - Anke Xue; Ming Ge; Jingzhong Wang; Renquan Lu (ACC, 2006)

Stability of stochastic systems with nonlinear uncertainties and time-varying delays. - Yun Chen 008; Anke Xue; Jianzhong Wang; Ming Ge; Junhong Wang (ACC, 2008)

An Intelligent Online Monitoring and Diagnostic System for Manufacturing Automation. - Ming Ge; Yangsheng Xu; Ruxu Du (IEEE Trans Autom. Sci. Eng., 2008)

Development of hybrid evolutionary algorithms for production scheduling of hot strip mill. - Yu-Wang Chen; Yong-Zai Lu; Ming Ge; Genke Yang; Changchun Pan (Comput. Oper. Res., 2012)

Finite-time dynamic output feedback stabilization of delayed stochastic systems. - Yun Chen 008; Qingqing Li; Anke Xue; Ming Ge; Junhong Wang (ACC, 2013)

Relations between full information and Kalman-based estimation. - Ming Ge; Eric C. Kerrigan (CDC, 2016)

Noise covariance identification for nonlinear systems using expectation maximization and moving horizon estimation. - Ming Ge; Eric C. Kerrigan (Autom., 2017)

Noise covariance identification for time-varying and nonlinear systems. - Ming Ge; Eric C. Kerrigan (Int. J. Control, 2017)

Multi-Agent Pathfinding for Deadlock Avoidance on Rotational Movements. - Frodo Kin Sun Chan; Yan Nei Law; Bonny Lu; Tom Chick; Edmond Shiao Bun Lai; Ming Ge (ICARCV, 2022)

Few-shot intelligent fault diagnosis based on an improved meta-relation network. - Xiaoqing Zheng; Changyuan Yue; Jiang Wei; Anke Xue; Ming Ge; Yaguang Kong (Appl. Intell., 2023)

An Incremental Unified Framework for Small Defect Inspection. - Jiaqi Tang 005; Hao Lu 009; Xiaogang Xu 002; Ruizheng Wu; Sixing Hu; Tong Zhang 001; Tsz Wa Cheng; Ming Ge; Ying-Cong Chen; Fugee Tsung (ECCV (31), 2024)

FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation. - Hanfang Lyu; Yuanchen Bai; Xin Liang; Ujaan Das; Chuhan Shi; Leiliang Gong; Yingchi Li; Mingfei Sun 001; Ming Ge; Xiaojuan Ma (IUI, 2024)

Evaluation model design of project construction safety level based on bidirectional recurrent neural network (BiRNN) and bidirectional long short-term memory (BiLSTM). - Ming Ge; Yongbo Yuan (PeerJ Comput. Sci., 2024)

A Complementary Framework for Human-Robot Collaboration With a Mixed AR-Haptic Interface. - Xiangjie Yan; Yongpeng Jiang; Chen Chen 087; Leiliang Gong; Ming Ge; Tao Zhang 006; Xiang Li 009 (IEEE Trans. Control. Syst. Technol., 2024)

Multi-Head Self-Attention-Based Fully Convolutional Network for RUL Prediction of Turbofan Engines. - Zhaofeng Liu; Xiaoqing Zheng; Anke Xue; Ming Ge; Aipeng Jiang (Algorithms, 2024)