On Multiple-View Matrix Based 3D Reconstruction from Multiple-View Images. - Huimin Huang; Ruibin Zhao; Mingyong Pang (CW, 2018)

Modeling Single-Gyroid Structures in Surface Mesh Models for 3D Printing. - Jidong Wang; Ruibin Zhao; Mingyong Pang (CW, 2018)

Reproducing 2D Implicit Curves with Sharp Features. - Jingjie Zhao; Jidong Wang; Ruibin Zhao; Mingyong Pang (CW, 2018)

Classifying airborne LiDAR point clouds via deep features learned by a multi-scale convolutional neural network. - Ruibin Zhao; Mingyong Pang; Jidong Wang (Int. J. Geogr. Inf. Sci., 2018)

EEG Analysis of Visually Induced Spatial Disorientation. - Chenru Hao; Ruibin Zhao; Lihua Qiao; Xiuyuan Li; Jingjing Zhang; Yanru Wu; Ziqiang Chi (CISP-BMEI, 2019)

Lung segmentation based on random forest and multi-scale edge detection. - Caixia Liu 003; Ruibin Zhao; Mingyong Pang (IET Image Process., 2019)

Current Activity of the Long Point Fault in Houston, Texas Constrained by Continuous GPS Measurements (2013-2018). - Yuhao Liu; Xiaohan Sun; Guoquan Wang; Michael J. Turco; Gonzalo Agudelo; Yan Bao; Ruibin Zhao; Shuilong Shen (Remote. Sens., 2019)

A Rapid Terrestrial Laser Scanning Method for Coastal Erosion Studies: A Case Study at Freeport, Texas, USA. - Lin Xiong; Guoquan Wang; Yan Bao; Xin Zhou; Kuan Wang; Hanlin Liu; Xiaohan Sun; Ruibin Zhao (Sensors, 2019)

Robust Normal Estimation for 3D LiDAR Point Clouds in Urban Environments. - Ruibin Zhao; Mingyong Pang; Caixia Liu 003; Yanling Zhang (Sensors, 2019)

A Classification Method for Unrecognized Spatial Disorientation Based on Perceptual Process. - Chenru Hao; Xiaoya Fan; Chunnan Dong; Lihua Qiao; Xinwei Li 001; Xiuyuan Li; Li Cheng; Lisha Guo; Ruibin Zhao (IEEE Access, 2020)

Novel superpixel-based algorithm for segmenting lung images via convolutional neural network and random forest. - Caixia Liu 003; Mingyong Pang; Ruibin Zhao (IET Image Process., 2020)

Pathological lung segmentation based on random forest combined with deep model and multi-scale superpixels. - Caixia Liu 003; Ruibin Zhao; Wangli Xie; Mingyong Pang (Neural Process. Lett., 2020)

GOM20: A Stable Geodetic Reference Frame for Subsidence, Faulting, and Sea-Level Rise Studies along the Coast of the Gulf of Mexico. - Guoquan Wang; Xin Zhou; Kuan Wang; Xue Ke; Yongwei Zhang; Ruibin Zhao; Yan Bao (Remote. Sens., 2020)

The Application of Sensors in the Auxiliary Medical Devices. - Li Cheng; Chenru Hao; Huaihao Li; Ziqiang Chi; Lisha Guo; Yanru Wu; Shifei Chen; Huifang Hu; Xu Liu; Xinyu Bai; Ruibin Zhao (CISP-BMEI, 2021)

Dual-Chip Guide Blind Device Based on STC89C51 and STM32. - Li Cheng; Chenru Hao; Jingjing Zhang; Ziqiang Chi; Lisha Guo; Haibo Yang; Yanru Wu; Ruibin Zhao; Jing Zhang; Zipin Zhao (CISP-BMEI, 2021)

A Deep Reinforcement Learning Approach for Automated On-Ramp Merging. - Ruibin Zhao; Zhanbo Sun; Ang Ji (ITSC, 2022)

Cross-Leg Prediction of Running Kinematics across Various Running Conditions and Drawing from a Minimal Data Set Using a Single Wearable Sensor. - Daniel Hung Kay Chow; Zaheen Ahmed Iqbal; Luc Tremblay; Chor Yin Lam; Ruibin Zhao (Symmetry, 2022)

Research Progress on Analysis Methods and Applications of Electroencephalogram Signals Based on Dynamic Functional Connectivity Analysis. - Li Cheng; Qingjie Lian; Yunlong Wen; Fanzhen Meng; Ziqiang Chi; Yanru Wu; Ruibin Zhao; Chengwei Chen; Linlin Wang; Pengfei Li; Chenru Hao (CISP-BMEI, 2023)

Research progress of electroencephalogram (EEG) classification method and its application based on support vector machine (SVM). - Chenru Hao; Chengwei Chen; Yunlong Wen; Fanzhen Meng; Ziqiang Chi; Ruibin Zhao; Yanru Wu; Qingjie Lian; Linlin Wang; Pengfei Li; Li Cheng (CISP-BMEI, 2023)

Segmenting lung parenchyma from CT images with gray correlation-based clustering. - Caixia Liu 003; Wanli Xie; Ruibin Zhao; Mingyong Pang (IET Image Process., 2023)

AI-assisted automated scoring of picture-cued writing tasks for language assessment. - Ruibin Zhao; Yipeng Zhuang; Di Zou; Qin Xie; Philip L. H. Yu (Educ. Inf. Technol., 2023)

Semantic characteristic grading of pulmonary nodules based on deep neural networks. - Caixia Liu 003; Ruibin Zhao; Mingyong Pang (BMC Medical Imaging, 2023)

Enhancing Language Learning Through Multimodal AI-Driven Feedback on Picture Descriptions: An Eye-Tracking Study. - Ruibin Zhao; Zhiwei Xie 006; Yipeng Zhuang; Huixian Li; Philip L. H. Yu (ICCE, 2024)

Facilitating self-directed language learning in real-life scene description tasks with automated evaluation. - Ruibin Zhao; Yipeng Zhuang; Zhiwei Xie 006; Philip L. H. Yu (Comput. Educ., 2024)

A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction. - Zhanbo Sun; Dong Caiyin; Ang Ji; Ruibin Zhao; Yu Zhao (CoRR, 2024)

Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks. - Ruibin Zhao; Zhiwei Xie 006; Yipeng Zhuang; Philip L. H. Yu (Int. J. Neural Syst., 2024)

Grey-informed neural network for time-series forecasting. - Wanli Xie; Ruibin Zhao; Zhenguo Xu; Tingting Liang (Neurocomputing, 2025)

Investigating learning behaviors in desktop-based simulated and vr headset-based immersive 3D learning environments: a cross-media comparative study. - Yuting Deng; Yanling Zhang; Ruibin Zhao (Educ. Inf. Technol., 2025)

Wavelet-enhanced cross-domain fusion network for remote sensing change detection. - Xiao Zhang; Zhengyi Liu; Ruibin Zhao (Signal Image Video Process., 2025)