Mingzhu Wang

According to our database, Mingzhu Wang authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Self-Triggered Impulsive Control for Lyapunov Stability of Nonlinear Systems in Discrete Time.

Mingzhu Wang, Xinyi He, Xiaodi Li

IEEE Trans. Cybern., August, 2024

Stability for nonlinear delay systems: Self-triggered impulsive control.

Xiaodi Li, Mingzhu Wang

Autom., February, 2024

Redefining Information Retrieval of Structured Database via Large Language Models.

Mingzhu Wang, Yuzhe Zhang, Qihang Zhao, Juanyi Yang, Hong Zhang

CoRR, 2024

2023

Exponential stability of nonlinear systems via event-triggered impulsive control based on partial states.

Mingyue Li, Mingzhu Wang, Wenlu Liu, Shuchen Wu, Xiaodi Li

Appl. Math. Comput., December, 2023

Curvilinear Structure Tracking Based on Dynamic Curvature-penalized Geodesics.

Li Liu, Mingzhu Wang, Shuwang Zhou, Minglei Shu, Laurent D. Cohen, Da Chen

Pattern Recognit., 2023

2022

Event-triggered <i>delayed</i> impulsive control for nonlinear systems with application to complex neural networks.

Mingzhu Wang, Xiaodi Li, Peiyong Duan

Neural Networks, 2022

Automatic concrete sidewalk deficiency detection and mapping with deep learning.

Yuhan Jiang, Sisi Han, Dapeng Li, Yong Bai, Mingzhu Wang

Expert Syst. Appl., 2022

Coronavirus statistics causes emotional bias: a social media text mining perspective.

Linjiang Guo, Zijian Feng, Yuxue Chi, Mingzhu Wang, Yijun Liu

CoRR, 2022

Enriched and discriminative convolutional neural network features for pedestrian re-identification and trajectory modeling.

Peter Kok-Yiu Wong, Han Luo, Mingzhu Wang, Jack C. P. Cheng

Comput. Aided Civ. Infrastructure Eng., 2022

2021

Event-triggered <i>delayed</i> impulsive control for nonlinear systems with applications.

Mingzhu Wang, Shuchen Wu, Xiaodi Li

J. Frankl. Inst., 2021

Recognition of pedestrian trajectories and attributes with computer vision and deep learning techniques.

Peter Kok-Yiu Wong, Han Luo, Mingzhu Wang, Pak Him Leung, Jack C. P. Cheng

Adv. Eng. Informatics, 2021

2020

Deep Learning-Based Automated Detection of Sewer Defects in CCTV Videos.

Srinath Shiv Kumar, Mingzhu Wang, Dulcy M. Abraham, Mohammad R. Jahanshahi, Tom Iseley, Jack C. P. Cheng

J. Comput. Civ. Eng., 2020

A unified convolutional neural network integrated with conditional random field for pipe defect segmentation.

Mingzhu Wang, Jack C. P. Cheng

Comput. Aided Civ. Infrastructure Eng., 2020

Real-time detection of wildfire risk caused by powerline vegetation faults using advanced machine learning techniques.

Jun Ma, Jack C. P. Cheng, Feifeng Jiang, Vincent J. L. Gan, Mingzhu Wang, Chong Zhai

Adv. Eng. Informatics, 2020

Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series.

Jun Ma, Jack C. P. Cheng, Yuexiong Ding, Changqing Lin, Feifeng Jiang, Mingzhu Wang, Chong Zhai

Adv. Eng. Informatics, 2020

2018

An integrated approach for the energy-efficient driving strategy optimization of multiple trains by considering regenerative braking.

Youneng Huang, Huazhen Yu, Jiateng Yin, Helei Hu, Shuai Bai, Xianhong Meng, Mingzhu Wang

Comput. Ind. Eng., 2018

Research on Operating Strategy Based on Particle Swarm Optimization for Heavy Haul Train on Long Down-Slope.

Huazhen Yu, Youneng Huang, Mingzhu Wang

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Development and Improvement of Deep Learning Based Automated Defect Detection for Sewer Pipe Inspection Using Faster R-CNN.

Mingzhu Wang, Jack C. P. Cheng

Proceedings of the Advanced Computing Strategies for Engineering, 2018

2015

Determinants of software piracy under risk aversion: a model with empirical evidence.

Ahmed Driouchi, Mingzhu Wang, Tarik Driouchi

Eur. J. Inf. Syst., 2015