Feasibility Study on Crack Detection of Pipelines Using Piezoceramic Transducers. - Guofeng Du; Qingzhao Kong; Timothy Lai; Gangbing Song (Int. J. Distributed Sens. Networks, 2013)

Cure-state monitoring of concrete and mortar specimens using Smart Aggregates. - Kwok L. Chung; Sergey Kharkovsky; Qingzhao Kong; Gangbing Song (I2MTC, 2014)

Study on energy focusing synthesis on pipe using time reversal technique. - Qing Ji; Qingzhao Kong; Gangbing Song (ICNSC, 2014)

Covering-based fuzzy rough sets. - Qingzhao Kong; Zengxin Wei (J. Intell. Fuzzy Syst., 2015)

On Four Types of Multi-Covering Rough Sets. - Xiawei Zhang; Qingzhao Kong (Fundam. Informaticae, 2016)

多粒化的粗糙集代数 (Rough Set Algebra of Multi-granulation). - Qingzhao Kong; Zengxin Wei (计算机科学, 2016)

多粒化的模糊粗糙集代数 (Fuzzy Rough Set Algebra of Multi-granulation). - Qingzhao Kong; Zengxin Wei (计算机科学, 2016)

Monitoring of Grouting Compactness in a Post-Tensioning Tendon Duct Using Piezoceramic Transducers. - Tianyong Jiang; Qingzhao Kong; Wenxi Wang; Linsheng Huo; Gangbing Song (Sensors, 2016)

Further study of multi-granulation fuzzy rough sets. - Qingzhao Kong; Zengxin Wei (J. Intell. Fuzzy Syst., 2017)

Multiple Cracks Detection in Pipeline Using Damage Index Matrix Based on Piezoceramic Transducer-Enabled Stress Wave Propagation. - Guofeng Du; Qingzhao Kong; Hua Zhou; Haichang Gu (Sensors, 2017)

Detection of Interfacial Debonding in a Rubber-Steel-Layered Structure Using Active Sensing Enabled by Embedded Piezoceramic Transducers. - Qian Feng; Qingzhao Kong; Jian Jiang; Yabin Liang; Gangbing Song (Sensors, 2017)

Real-Time Monitoring of Water Content in Sandy Soil Using Shear Mode Piezoceramic Transducers and Active Sensing - A Feasibility Study. - Qingzhao Kong; Hongli Chen; Yi-Lung Mo; Gangbing Song (Sensors, 2017)

Experimental Investigation on the Detection of Multiple Surface Cracks Using Vibrothermography with a Low-Power Piezoceramic Actuator. - Changhang Xu; Jing Xie; Wuyang Zhang; Qingzhao Kong; Guoming Chen 002; Gangbing Song (Sensors, 2017)

A Theoretical Model for Designing the Novel Embeddable Spherical Smart Aggregate. - Jianjun Wang; Qingzhao Kong; Zhifei Shi; Gangbing Song (IEEE Access, 2018)

Real-Time Monitoring of Soil Compaction Using Piezoceramic-Based Embeddable Transducers and Wavelet Packet Analysis. - Wenwei Yang; Qingzhao Kong; Siu Chun Michael Ho; Yi-Lung Mo; Gangbing Song (IEEE Access, 2018)

Operation Properties and Algebraic Application of Covering Rough Sets. - Qingzhao Kong; Weihua Xu 003 (Fundam. Informaticae, 2018)

Feasibility Study of Interlayer Slide Monitoring Using Postembedded Piezoceramic Smart Aggregates. - Jianchao Wu; Qingzhao Kong; Ing Lim; Gangbing Song (J. Sensors, 2018)

Damage Evaluation of Concrete Column under Impact Load Using a Piezoelectric-Based EMI Technique. - Shuli Fan; Shaoyu Zhao; Baoxin Qi; Qingzhao Kong (Sensors, 2018)

Study of Impact Damage in PVA-ECC Beam under Low-Velocity Impact Loading Using Piezoceramic Transducers and PVDF Thin-Film Transducers. - Baoxin Qi; Qingzhao Kong; Hui Qian 005; Devendra Patil; Ing Lim; Mo Li 011; Dong Liu; Gangbing Song (Sensors, 2018)

Bond-Slip Monitoring of Concrete Structures Using Smart Sensors - A Review. - Linsheng Huo; Hao Cheng 007; Qingzhao Kong; Xuemin Chen (Sensors, 2019)

The comparative study of covering rough sets and multi-granulation rough sets. - Qingzhao Kong; Weihua Xu 003 (Soft Comput., 2019)

Attribute reducts of multi-granulation information system. - Qingzhao Kong; Xiawei Zhang; Weihua Xu 003; Shutong Xie (Artif. Intell. Rev., 2020)

Learning Behavior Analysis Using Clustering and Evolutionary Error Correcting Output Code Algorithms in Small Private Online Courses. - Shu-Tong Xie; Qiong Chen; Kun-Hong Liu 001; Qingzhao Kong; Xiu-juan Cao (Sci. Program., 2021)

Predicting Learning Behavior Using Log Data in Blended Teaching. - Shu-Tong Xie; Zong-Bao He; Qiong Chen; Rongxin Chen; Qingzhao Kong; Cun-Ying Song (Sci. Program., 2021)

Rough set model based on variable universe. - Qingzhao Kong; Xueer Chang (CAAI Trans. Intell. Technol., 2022)

A novel granular computing model based on three-way decision. - Qingzhao Kong; Xiawei Zhang; Weihua Xu 003; Binghan Long (Int. J. Approx. Reason., 2022)

Diffuse Ultrasonic Wave-Based Damage Detection of Railway Tracks Using PZT/FBG Hybrid Sensing System. - Xiangtao Sun; Chuanrui Guo; Lei Yuan; Qingzhao Kong; Yiqing Ni (Sensors, 2022)

A comparative study of different granular structures induced from the information systems. - Qingzhao Kong; Weihua Xu 003; Dongxiao Zhang (Soft Comput., 2022)

An ensemble learning approach to condition assessment of dissipative CLT connections based on piezoceramic sensor data. - Lin Chen; Haibei Xiong; Xiuquan Li; Yurong Lu; Qingzhao Kong (Eng. Appl. Artif. Intell., 2023)

Damage analysis and quantification of RC beams assisted by Damage-T Generative Adversarial Network. - Yanzhi Qi; Cheng Yuan 003; Peizhen Li; Qingzhao Kong (Eng. Appl. Artif. Intell., 2023)

A novel deep convolutional image-denoiser network for structural vibration signal denoising. - Qingsong Xiong; Haibei Xiong; Cheng Yuan 003; Qingzhao Kong (Eng. Appl. Artif. Intell., 2023)

GTRF: A general deep learning framework for tuples recognition towards supervised, semi-supervised and unsupervised paradigms. - Qingsong Xiong; Cheng Yuan 003; Bin He; Haibei Xiong; Qingzhao Kong (Eng. Appl. Artif. Intell., 2023)

Development of acoustic denoising learning network for communication enhancement in construction sites. - Zhenyu Peng; Qingzhao Kong; Cheng Yuan 003; Rongyan Li; Hung-Lin Chi (Adv. Eng. Informatics, 2023)

Vision-aided three-dimensional damage quantification and finite element model geometric updating for reinforced concrete structures. - Qingzhao Kong; Jiaxuan Gu; Bing Xiong; Cheng Yuan 003 (Comput. Aided Civ. Infrastructure Eng., 2023)

Spatial displacement tracking of vibrating structure using multiple feature points assisted binocular visual reconstruction. - Tao Huang; Cheng Yuan 003; Peizhen Li; Shiran Xu; Qingzhao Kong (Eng. Appl. Artif. Intell., 2023)

An Analysis of the Efficacy of Rough Set Models Within the Framework of Binary Information Tables. - Qingzhao Kong; Conghao Yan (IJCRS (1), 2024)

Two kinds of average approximation accuracy. - Qingzhao Kong; Wanting Wang; Dongxiao Zhang; Wenbin Zhang 002 (CAAI Trans. Intell. Technol., 2024)

Three-stage unsupervised learning approach fusing novel pseudo-label diffusion and math-physics translating for real-time structural damage detection. - Qingsong Xiong; Haibei Xiong; Cheng Yuan 003; Qingzhao Kong (Eng. Appl. Artif. Intell., 2024)

Deep learning-based analysis of interface performance between brittle engineering materials and composites. - Chang He; Qingzhao Kong; Keyan Ji; Qingsong Xiong; Cheng Yuan 003 (Expert Syst. Appl., 2024)

A method of data analysis based on division-mining-fusion strategy. - Qingzhao Kong; Wanting Wang; Weihua Xu 003; Conghao Yan (Inf. Sci., 2024)

Automatic generation of architecture drawings from point clouds. - Fengyu Zhang; Qingzhao Kong; Cheng Yuan 003; Peizhen Li (Comput. Aided Civ. Infrastructure Eng., 2024)

The neighborhood rough set based on division-mining-fusion strategy. - Conghao Yan; Qingzhao Kong; Wenbin Zhang 002 (Appl. Soft Comput., 2025)

Simplified rough sets. - Qingzhao Kong; Conghao Yan; Weihua Xu (Inf. Sci., 2025)