Ming Qu - researchr alias

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Viewing Publication 1 - 30 from 30

2025

Unsupervised Inference of Equipment Relationships in Building Automation Systems Using LSTM-Based Feature ImportanceZiCheng Wang, Jie Ma, Jie Cai, Ming Qu. buildsys 2025: 252-256 [doi]

2024

Broadband Signal Measurement Method in the Background of Power Electronics in Substation Area of Distribution NetworkLina Liu, Tao Wang, Ruichao Li, Kun Liu, Xiaojun Li, Ming Qu, Fangshuo Li. access, 12:46462-46469, 2024. [doi]

Linearization Method for Large-Scale Hydro-Thermal Security-Constrained Unit CommitmentMing Qu, Tao Ding, Chenggang Mu, Xiaosheng Zhang, Kai Pan, Mohammad Shahidehpour. tase, 21(2):1754-1766, April 2024. [doi]

Adjustable Robust Low-Carbon Unit Commitment With Nonanticipativity by Linear ProgrammingMing Qu, Tao Ding, Chenggang Mu, Yuge Sun, Pierluigi Siano, Mohammad Shahidehpour. tnse, 11(6):5487-5502, November - December 2024. [doi]

Integrating ML/AI workflows in a Streaming Data Management and Processing Platform for Building Energy ResearchJaewoo Shin, Lan Zhao, Carol X. Song, Dikai Xu, Ming Qu, Ananth Grama, Dongyan Xu. xsede 2024: [doi]

2023

0.18-μm CMOS process 40 MHz-4.41 GHz frequency synthesizer with high linearity low phase noise varactor-reconstruction LC-VCOMing Qu, Yanbin Li, Yue Hao. mj, 138:105843, 2023. [doi]

2021

2020

Defense Strategy for Resilient Shipboard Power Systems Considering Sequential AttacksTao Ding, Ming Qu, Xiong Wu, Boyu Qin, Yongheng Yang, Frede Blaabjerg. tifs, 15:3443-3453, 2020. [doi]

Negative Reactance Impacts Power Flow Convergence Using Conjugate Gradient MethodTao Ding, Ming Qu, Jiawen Bai, Fangxing Li 0001. tcas, 67-II(11):2527-2531, 2020. [doi]

Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networksSven Koitka, Moon S. Kim, Ming Qu, Asja Fischer, Christoph M. Friedrich, Felix Nensa. mia, 64:101743, 2020. [doi]

An Analytical Method for Generation Unit Aggregation in Virtual Power PlantsMing Qu, Tao Ding, Wei Wei 0007, Zhaoyang Dong, Mohammad Shahidehpour, Shiwei Xia. tsg, 11(6):5466-5469, 2020. [doi]

Spatio-Temporal Land-Use Changes and the Response in Landscape Pattern to Hemeroby in a Resource-Based CityYu Tian, Bingxi Liu, Yuandong Hu, Qing Xu, Ming Qu, Dawei Xu. ijgi, 9(1):20, 2020. [doi]

2018

A collaboration centric approach for building the semantic knowledge network for knowledge advantage machineMing Qu, Yuchun Chang. cluster, 21(1):1009-1022, 2018. [doi]

HSATA: Improved SATA Protocol with HMACYatao Yang, Guangcan Cao, Ming Qu, Jierun Huang, Yuan Gao. icccn 2018: 1-6 [doi]

2017

Research and Citation Analysis of Data Mining Technology Based on Bayes AlgorithmMingyang Liu, Ming Qu, Bin Zhao. monet, 22(3):418-426, 2017. [doi]

2015

Is Bus Overrepresented in Bluetooth MAC Scanner data? Is MAC-ID Really Unique?Ashish Bhaskar, Le Minh Kieu, Ming Qu, Alfredo Nantes, Marc Miska, Edward Chung. itsr, 13(2):119-130, 2015. [doi]

Bluetooth Vehicle Trajectory by Fusing Bluetooth and Loops: Motorway Travel Time StatisticsAshish Bhaskar, Ming Qu, Edward Chung. tits, 16(1):113-122, 2015. [doi]

2013

Linking cancer registry and hospital discharge data for treatment surveillanceGe Lin, Jihyun Ma, Lei Zhang, Ming Qu. hij, 19(2):127-136, 2013. [doi]

2010

On the Trusted Ontology model for evaluating the Semantic Web ServicesMing Qu, Shufen Liu, Tie Bao. cscwd 2010: 367-372 [doi]

A Framework of Constructing and Evolving Trusted Services with FormulationMing Qu, Shufen Liu. fcst 2010: 392-397 [doi]

2004

Automatic Solar Flare TrackingMing Qu, Frank Y. Shih, Ju Jing, Haimin Wang, David Rees. kes 2004: 419-425 [doi]

Solar flare tracking using image processing techniquesMing Qu, Frank Y. Shih, Ju Jing, Haimin Wang. icmcs 2004: 347-350

1997

Parameter extraction for statistical IC modeling based on recursive inverse approximationMing Qu, M. A. Styblinski. tcad, 16(11):1250-1259, 1997. [doi]

1995

An Adaptive Approach to Statistical Macromodeling of Analog Integrated CircuitsMing Qu, M. A. Styblinski. iscas 1995: 1596-1599

Comparison of Symbolic Approximation and Macromodelling Techniques for Statistical Design of Analog Integrated CircuitsM. A. Styblinski, Ming Qu. iscas 1995: 2221-2224

1994

Statistical Characterization and Modeling of Analog Functional BlocksMing Qu, M. A. Styblinski. iscas 1994: 121-124

1993

A Heursitsic Global Optimization Algorithm and Its Application to CMOS Circuit Variability MinimizationMing Qu, M. A. Styblinski. iscas 1993: 1809-1812

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