An In-Situ Structural Health Diagnosis Technique and Its Realization via a Modularized System. - Qiang Wang 014; Ming Hong; Zhongqing Su (IEEE Trans. Instrum. Meas., 2015)

A high-sensitivity and fast-response nanocomposites-inspired sensor for acousto-ultrasonics-based structural health monitoring. - Yaozhong Liao; Feng Duan; Limin Zhou; Zhongqing Su (Proc. Meet. Acoust., 2017)

Structural damage detection using finite element model updating with evolutionary algorithms: a survey. - Nizar Faisal Alkayem; Maosen Cao; Yufeng Zhang; Mahmoud Bayat; Zhongqing Su (Neural Comput. Appl., 2018)

Dispersed Sensing Networks in Nano-Engineered Polymer Composites: From Static Strain Measurement to Ultrasonic Wave Acquisition. - Yehai Li; Kai Wang; Zhongqing Su (Sensors, 2018)

Interaction of Lamb Wave Modes with Weak Material Nonlinearity: Generation of Symmetric Zero-Frequency Mode. - Xiaoqiang Sun; Xiangyan Ding; Feilong Li; Shijie Zhou; Yaolu Liu; Ning Hu; Zhongqing Su; Youxuan Zhao; Jun Zhang; Mingxi Deng (Sensors, 2018)

A Spray-on, Nanocomposite-Based Sensor Network for in-Situ Active Structural Health Monitoring. - Wuxiong Cao; Pengyu Zhou; Yaozhong Liao; Xiongbin Yang; Dongyue Pan; Yehai Li; Baojun Pang; Limin Zhou; Zhongqing Su (Sensors, 2019)

An Enhanced Time-Reversal Imaging Algorithm-Driven Sparse Linear Array for Progressive and Quantitative Monitoring of Cracks. - Qiang Wang 014; Yanfeng Xu; Zhongqing Su; Maosen Cao; Dong Yue 001 (IEEE Trans. Instrum. Meas., 2019)

Development, validation, and application of ligamentous cervical spinal segment C6-C7 of a six-year-old child and an adult. - Zhigang Li; Guanghui Song; Zhongqing Su; Guangliang Wang (Comput. Methods Programs Biomed., 2020)

A Cross-Scanning Crack Damage Quantitative Monitoring and Imaging Method. - Zi Wang; Shaodong Zhang; Yehai Li; Qiang Wang 014; Zhongqing Su; Dong Yue 001 (IEEE Trans. Instrum. Meas., 2022)

Dynamic Route Guidance System Based on Real-time Vehicle-Road Collaborations with Deep Reinforcement Learning. - Zhongqing Su; Congduan Li (VTC Fall, 2023)

On improving the regional transportation efficiency based on federated learning. - Zhongqing Su; Congduan Li (J. Frankl. Inst., 2023)

Process parameter effects estimation and surface quality prediction for selective laser melting empowered by Bayes optimized soft attention mechanism-enhanced transfer learning. - Jianjian Zhu; Zhongqing Su; Qingqing Wang; Runze Hao; Zifeng Lan; Frankie Siu-fai Chan; Jiaqiang Li; Sidney Wing-fai Wong (Comput. Ind., 2024)

Surface quality prediction and quantitative evaluation of process parameter effects for 3D printing with transfer learning-enhanced gradient-boosting decision trees. - Jianjian Zhu; Zhongqing Su; Qingqing Wang; Zifeng Lan; Frankie Siu-fai Chan; Zhibin Han; Zhaokun Wang; Sidney Wing-fai Wong; Andy Chi-fung Ngan (Expert Syst. Appl., 2024)

Evaluation of Range Sensing-Based Place Recognition for Long-Term Urban Localization. - Weixin Ma; Huan Yin; Lei Yao; Yuxiang Sun; Zhongqing Su (IEEE Trans. Intell. Veh., 2024)

Inverse design of multiband higher-order elastic topological insulators via generative deep learning. - Lei Fan; Yafeng Chen; Jie Zhu; Zhongqing Su (Adv. Eng. Softw., 2025)

TripletLoc: One-Shot Global Localization Using Semantic Triplet in Urban Environments. - Weixin Ma; Huan Yin; Patricia J. Y. Wong; Danwei Wang; Yuxiang Sun; Zhongqing Su (IEEE Robotics Autom. Lett., 2025)