Reinforcement Learning Based on Extreme Learning Machine. - Jie Pan; Xuesong Wang 001; Yuhu Cheng; Ge Cao (ICIC (3), 2012)

Multi-Source Tri-Training Transfer Learning. - Yuhu Cheng; Xuesong Wang 001; Ge Cao (IEICE Trans. Inf. Syst., 2014)

Multi-source transfer ELM-based Q learning. - Jie Pan; Xuesong Wang 001; Yuhu Cheng; Ge Cao (Neurocomputing, 2014)

REFLEX: Face Micro-Expression Recognition System for TV Content Curation. - Paula Falco; Christina Noonan; Ge Cao (TVX, 2016)

Modeling and simulation of human lower extremity motion. - Meng Zhang; Na Zou 005; Ge Cao; Chunxiao Li (ICTC, 2019)

Real-time cyber-physical system co-simulation testbed for microgrids control. - Ge Cao; Wei Gu 004; Chenxiao Gu; Wanxing Sheng; Jing Pan; Rui Li; Lijing Sun (IET Cyper-Phys. Syst.: Theory & Appl., 2019)

Aggregated Deep Saliency Prediction by Self-attention Network. - Ge Cao; Qing Tang 004; Kang-Hyun Jo (ICIC (3), 2020)

Accurate and Efficient Traffic Sign Detection with a Guided Region Enlarging Algorithm. - Qing Tang 004; Ge Cao; Kang-Hyun Jo (ICIC (1), 2020)

Modeling and continuous co-simulation of URT traction electric network-Trains with OESS. - Xiaojun Shen 001; Ge Cao; Tek Tjing Lie (Simul. Model. Pract. Theory, 2020)

Operational Risk Evaluation of Active Distribution Networks Considering Cyber Contingencies. - Ge Cao; Wei Gu 004; Peixin Li; Wanxing Sheng; Ke-yan Liu; Lijing Sun; Zhihuang Cao; Jing Pan (IEEE Trans. Ind. Informatics, 2020)

Saliency Prediction with Relation-Aware Global Attention Module. - Ge Cao; Kang-Hyun Jo (IW-FCV, 2021)

Unsupervised Person Re-Identification with Transformer-based Network for Intelligent Surveillance Systems. - Ge Cao; Kang-Hyun Jo (ISIE, 2021)

Integrated Feature Pyramid Network With Feature Aggregation for Traffic Sign Detection. - Qing Tang 004; Ge Cao; Kang-Hyun Jo (IEEE Access, 2021)

Fully Unsupervised Person Re-Identification via Multiple Pseudo Labels Joint Training. - Qing Tang 004; Ge Cao; Kang-Hyun Jo (IEEE Access, 2021)

Graph-based Attribute-aware Unsupervised Person Re-identification with Contrastive learning. - Ge Cao; Qing Tang 004; Kang-Hyun Jo (IWIS, 2022)

Unsupervised Object Re-identification via Irregular Sampling. - Qing Tang 004; Ge Cao; Kang-Hyun Jo (IWIS, 2022)

Attribute Auxiliary Clustering for Person Re-Identification. - Ge Cao; Kang-Hyun Jo (IW-FCV, 2023)

DenseNetx: Efficient DenseNets for Remote Scene Classification without Pretraining. - RussoMohammadAshraf Uddin; Tien-Dat Tran; Ge Cao; Kang-Hyun Jo (ISIE, 2023)

3D Human Pose Estimation with Dilated Sampled Frames. - Ge Cao; Qing Tang 004; Tien-Dat Tran; Moahamammad-Ashraf Russo; Kanghyun Jo (IWIS, 2023)

Unsupervised Person and Vehicle Re-identification via Relative Hard Samples in Industrial Surveillance System. - Qing Tang 004; Ge Cao; Kang-Hyun Jo; Hail Jung (IWIS, 2023)

A Simple Yet Effective Data Augmentation for Human Pose Estimation. - Tien-Dat Tran; Xuan-Thuy Vo; Ge Cao; Kang-Hyun Jo (IWIS, 2023)

Exploring the Impact of Various Contrastive Learning Loss Functions on Unsupervised Domain Adaptation in Person Re-identification. - Ge Cao; Kanghyun Jo (IW-FCV, 2024)

Inverted Residual Bottlenecks with Large Kernel Attention for Remote Scene Classification. - Russo Ashraf; Adri Priadana; Ge Cao; Kanghyun Jo (HSI, 2024)

Enhancing Unsupervised Domain Adaptive Person Re-identification Clustering Through Parsing-Based Attribute Labeling. - Ge Cao; Kanghyun Jo (ICIC (4), 2024)

Exploring Sampler Strategies in Unsupervised Person Re-identification Training: Insights and Performance Analysis. - Ge Cao; Qing Tang 004; Tran Tien Dat; Ashraf Uddin Russo; Adri Priadana; Kanghyun Jo (ISIE, 2024)

Simultaneous Facial Age Group and Gender Recognition using Efficient Local-Global Attention Network for Intelligent Advertising. - Adri Priadana; Duy-Linh Nguyen; Xuan-Thuy Vo; Muhamad Dwisnanto Putro; Ge Cao; Kanghyun Jo (ISIE, 2024)

Group Spatial Attention for 3D Human Pose Estimation. - Tien-Dat Tran; Ge Cao; Russo Ashraf; Kang-Hyun Jo (ISIE, 2024)

Design and Implementation of a Vision-Based Vehicle Control System for Operational Commands via Human Keypoints Recognition. - Ge Cao; Yue Teng; Yu Shen; Qing Tang 004; Tran Tien Dat; Ashraf Uddin Russo; Adri Priadana; Kanghyun Jo (IWIS, 2024)

Facial Attribute Recognition Using Weighted Bottleneck Transformer for Intelligent Marketing. - Adri Priadana; Duy-Linh Nguyen; Xuan-Thuy Vo; Ge Cao; Kanghyun Jo (IWIS, 2024)

RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments. - Ge Cao; Zhen Peng (CoRR, 2024)

Building an economically sustainable online learning ecosystem with freemium model: A sequential mixed-method approach. - Yujie Zhou; Ge Cao; Xiao-Liang Shen 001 (Educ. Inf. Technol., 2024)

Text-Guided Visual Representation Learning via Cross-Modal Fusion for Person Re-Identification. - Ge Cao; Qing Tang 004; Xuan-Thuy Vo; Adri Priadana; Tien-Dat Tran; Kang-Hyun Jo (IEEE Access, 2025)

Does community of inquiry really matter in understanding online learning? A confirmed perspective using mixed method. - Yujie Zhou; Huiping Wu; Ge Cao (Br. J. Educ. Technol., 2025)

Photon Splatting: A Physics-Guided Neural Surrogate for Real-Time Wireless Channel Prediction. - Ge Cao; Gabriele Gradoni; Zhen Peng (CoRR, 2025)

Local Self-Attention With Mixing Abstract Tokens for Urban Autonomous Driving. - Xuan-Thuy Vo; Duy-Linh Nguyen; Adri Priadana; Ge Cao; Jehwan Choi; Kang-Hyun Jo (IEEE Trans. Ind. Informatics, 2025)

A High-Accuracy and Faster Face Recognizer Supporting Biometric Continuous Authentication for Smart Factory Workers. - Adri Priadana; Duy-Linh Nguyen; Xuan-Thuy Vo; Muhamad Dwisnanto Putro; Ge Cao; Kang-Hyun Jo (IEEE Trans. Ind. Informatics, 2025)