Pose unconstrained face recognition based on SIFT and alignment error. - Yongbin Gao; Hyo Jong Lee (ICAILP, 2014)

Deep learninig of EEG signals for emotion recognition. - Yongbin Gao; Hyo Jong Lee; Raja Majid Mehmood (ICME Workshops, 2015)

Viewpoint Unconstrained Face Recognition Based on Affine Local Descriptors and Probabilistic Similarity. - Yongbin Gao; Hyo Jong Lee (J. Inf. Process. Syst., 2015)

Cross-pose face recognition based on multiple virtual views and alignment error. - Yongbin Gao; Hyo Jong Lee (Pattern Recognit. Lett., 2015)

A general effective rate control system based on matching measurement and inter-quantizer. - Zhijun Fang; Yongbin Gao; Naixue Xiong; Athanasios V. Vasilakos; Yuming Fang (Inf. Sci., 2016)

Local Tiled Deep Networks for Recognition of Vehicle Make and Model. - Yongbin Gao; Hyo Jong Lee (Sensors, 2016)

A New Code Generation Method for Software Engineering: From Requirements Model to Source Code. - Bo Huang 014; Zhijun Fang; Guoqing Wu; Xiankun Sun; Yongbin Gao (SoMeT, 2017)

Teaching Assistant and Class Attendance Analysis Using Surveillance Camera. - Xiaofei Peng; Zhijun Fang; Yongbin Gao (IFTC, 2018)

Human Action Monitoring for Healthcare Based on Deep Learning. - Yongbin Gao; Xuehao Xiang; Naixue Xiong; Bo Huang 014; Hyo Jong Lee; Rad Alrifai; Xiaoyan Jiang; Zhijun Fang (IEEE Access, 2018)

Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks. - Xiaoyan Jiang; Zhijun Fang; Neal N. Xiong; Yongbin Gao; Bo Huang 014; Juan Zhang 001; Lei Yu; Patrick Harrington (IEEE Access, 2018)

Depth Estimation of Video Sequences With Perceptual Losses. - Anjie Wang; Zhijun Fang; Yongbin Gao; Xiaoyan Jiang; Siwei Ma (IEEE Access, 2018)

An Image dehazing approach based on the airlight field estimation. - Lijun Zhang; Yongbin Gao; Yujin Zhang (CoRR, 2018)

A Wasserstein GAN model with the total variational regularization. - Lijun Zhang; Yujin Zhang; Yongbin Gao (CoRR, 2018)

Car manufacturer and model recognition based on scale invariant feature transform. - Yongbin Gao; Hyo Jong Lee (Int. J. Comput. Vis. Robotics, 2018)

Learning warps based similarity for pose-unconstrained face recognition. - Yongbin Gao; Hyo Jong Lee (Multim. Tools Appl., 2018)

Unsupervised Learning of Depth and Ego-Motion with Spatial-Temporal Geometric Constraints. - Anjie Wang; Yongbin Gao; Zhijun Fang; Xiaoyan Jiang; Shanshe Wang; Siwei Ma; Jenq-Neng Hwang (ICME, 2019)

Learning Identity-Aware Face Features Across Poses Based on Deep Siamese Networks. - Yongbin Gao; Naixue Xiong; Wenjun Yu; Hyo Jong Lee (IEEE Access, 2019)

An End-to-End Human Segmentation by Region Proposed Fully Convolutional Network. - Xiaoyan Jiang; Yongbin Gao; Zhijun Fang; Peng Wang; Bo Huang 014 (IEEE Access, 2019)

Single Image Snow Removal via Composition Generative Adversarial Networks. - Zhi Li 049; Juan Zhang 001; Zhijun Fang; Bo Huang 014; Xiaoyan Jiang; Yongbin Gao; Jenq-Neng Hwang (IEEE Access, 2019)

Coronary Arteries Segmentation Based on 3D FCN With Attention Gate and Level Set Function. - Ye Shen; Zhijun Fang; Yongbin Gao; Naixue Xiong; Cengsi Zhong; Xianhua Tang (IEEE Access, 2019)

SSL-Net: Point-Cloud Generation Network With Self-Supervised Learning. - Ran Sun; Yongbin Gao; Zhijun Fang; Anjie Wang; Cengsi Zhong (IEEE Access, 2019)

DD-CycleGAN: Unpaired image dehazing via Double-Discriminator Cycle-Consistent Generative Adversarial Network. - Jingming Zhao; Juan Zhang 001; Zhi Li 049; Jenq-Neng Hwang; Yongbin Gao; Zhijun Fang; Xiaoyan Jiang; Bo Huang 014 (Eng. Appl. Artif. Intell., 2019)

Pose-invariant features and personalized correspondence learning for face recognition. - Yongbin Gao; Hyo Jong Lee (Neural Comput. Appl., 2019)

Transfer deep feature learning for face sketch recognition. - Weiguo Wan; Yongbin Gao; Hyo Jong Lee (Neural Comput. Appl., 2019)

Real-Time Vehicle Make and Model Recognition with the Residual SqueezeNet Architecture. - Hyo Jong Lee; Ihsan Ullah 005; Weiguo Wan; Yongbin Gao; Zhijun Fang (Sensors, 2019)

Unsupervised learning of depth estimation based on attention model and global pose optimization. - Renyue Dai; Yongbin Gao; Zhijun Fang; Xiaoyan Jiang; Anjie Wang; Juan Zhang 001; Cengsi Zhong (Signal Process. Image Commun., 2019)

Segmentation of coronary arteries images using global feature embedded network with active contour loss. - Jia Gu; Zhijun Fang; Yongbin Gao; Fangzheng Tian (Comput. Medical Imaging Graph., 2020)

Feature fusion network based on attention mechanism for 3D semantic segmentation of point clouds. - Heng Zhou; Zhijun Fang; Yongbin Gao; Bo Huang 014; Cengsi Zhong; Ruoxi Shang (Pattern Recognit. Lett., 2020)

Adversarial Learning for Joint Optimization of Depth and Ego-Motion. - Anjie Wang; Zhijun Fang; Yongbin Gao; Songchao Tan; Shanshe Wang; Siwei Ma; Jenq-Neng Hwang (IEEE Trans. Image Process., 2020)

Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression. - Jiacheng Xu; Zhijun Fang; Yongbin Gao; Siwei Ma; Yaochu Jin; Heng Zhou; Anjie Wang (DCC, 2021)

The analysis of isolation measures for epidemic control of COVID-19. - Bo Huang 014; Yimin Zhu; Yongbin Gao; Guohui Zeng; Juan Zhang 001; Jin Liu 016; Li Liu (Appl. Intell., 2021)

Celiac trunk segmentation incorporating with additional contour constraint. - Xianhua Tang; Bo Huang 014; Qingping Cai; Ziran Wei; Yongbin Gao; Yinglin Wang; Huilin Tong; Pan Liang; Cengsi Zhong (Appl. Intell., 2021)

Automatic coronary artery segmentation algorithm based on deep learning and digital image processing. - Fangzheng Tian; Yongbin Gao; Zhijun Fang; Jia Gu (Appl. Intell., 2021)

SAT-Net: a side attention network for retinal image segmentation. - Huilin Tong; Zhijun Fang; Ziran Wei; Qingping Cai; Yongbin Gao (Appl. Intell., 2021)

Multi-modal 3D object detection by 2D-guided precision anchor proposal and multi-layer fusion. - Yi Wu; Xiaoyan Jiang; Zhijun Fang; Yongbin Gao; Hamido Fujita (Appl. Soft Comput., 2021)

Deep learning network for medical volume data segmentation based on multi axial plane fusion. - Bo Huang 014; Ziran Wei; Xianhua Tang; Hamido Fujita; Qingping Cai; Yongbin Gao; Tao Wu; Liang Zhou (Comput. Methods Programs Biomed., 2021)

Attention U-Net with Feature Fusion Module for Robust Defect Detection. - Yu-Jie Xiong; Yong-Bin Gao; Hong Wu; Yao Yao (J. Circuits Syst. Comput., 2021)

Line-based visual odometry using local gradient fitting. - Junxin Lu; Zhijun Fang; Yongbin Gao; Jieyu Chen (J. Vis. Commun. Image Represent., 2021)

3D reconstruction with auto-selected keyframes based on depth completion correction and pose fusion. - Fangzheng Tian; Yongbin Gao; Zhijun Fang; Jia Gu; Shuqun Yang (J. Vis. Commun. Image Represent., 2021)

Photometric transfer for direct visual odometry. - Kaiying Zhu; Xiaoyan Jiang; Zhijun Fang; Yongbin Gao; Hamido Fujita; Jenq-Neng Hwang (Knowl. Based Syst., 2021)

Transformation guided representation GAN for pose invariant face recognition. - Philip Chikontwe; Yongbin Gao; Hyo Jong Lee (Multidimens. Syst. Signal Process., 2021)

Research on Knowledge Graphs with Concept Lattice Constraints. - Ning Lan; Shuqun Yang; Ling Yin 002; Yongbin Gao (Symmetry, 2021)

Sparse-attentive meta temporal point process for clinical decision support. - Yajun Ru; Xihe Qiu; Xiaoyu Tan; Bin Chen; Yongbin Gao; Yaochu Jin (Neurocomputing, 2022)

Unsupervised Monocular Visual Odometry for Fast-Moving Scenes Based on Optical Flow Network with Feature Point Matching Constraint. - Yuji Zhuang; Xiaoyan Jiang; Yongbin Gao; Zhijun Fang; Hamido Fujita (Sensors, 2022)

Depth Estimation Using a Self-Supervised Network Based on Cross-Layer Feature Fusion and the Quadtree Constraint. - Fangzheng Tian; Yongbin Gao; Zhijun Fang; Yuming Fang; Jia Gu; Hamido Fujita; Jenq-Neng Hwang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. - Xihe Qiu; Shaojie Shi; Xiaoyu Tan; Chao Qu; Zhijun Fang; Hailing Wang; Yongbin Gao; Peixia Wu; Huawei Li (ICCV, 2023)

Depth Estimation of Multi-Modal Scene Based on Multi-Scale Modulation. - Anjie Wang; Zhijun Fang; Xiaoyan Jiang; Yongbin Gao; Gaofeng Cao; Siwei Ma (ICIP, 2023)

Towards Few-shot Out-of-Distribution Detection. - Jiuqing Dong; Yongbin Gao; Heng Zhou; Jun Cen; Yifan Yao; Sook Yoon; Park Dong Sun (CoRR, 2023)

Joint Optimization of Depth and Ego-Motion for Intelligent Autonomous Vehicles. - Yongbin Gao; Fangzheng Tian; Jun Li 036; Zhijun Fang; Saba Al-Rubaye; Wei Song; Yier Yan (IEEE Trans. Intell. Transp. Syst., 2023)

Monocular 3-D Object Detection Based on Depth-Guided Local Convolution for Smart Payment in D2D Systems. - Jun Li 036; Wei Song; Yongbin Gao; Huixing Wang; Yier Yan; Bo Huang 014; Jun Zhang 004; Wei Wang 030 (IEEE Internet Things J., 2023)

An angular shrinkage BERT model for few-shot relation extraction with none-of-the-above detection. - Junwen Wang; Yongbin Gao; Zhijun Fang (Pattern Recognit. Lett., 2023)

LFT-Net: Local Feature Transformer Network for Point Clouds Analysis. - Yongbin Gao; Xuebing Liu; Jun Li 036; Zhijun Fang; Xiaoyan Jiang; Kazi Mohammed Saidul Huq (IEEE Trans. Intell. Transp. Syst., 2023)

Transformer networks with adaptive inference for scene graph generation. - Yini Wang; Yongbin Gao; Wenjun Yu; Ruyan Guo; Weibing Wan; Shuqun Yang; Bo Huang 014 (Appl. Intell., 2023)

MACFNet: multi-attention complementary fusion network for image denoising. - Jiaolong Yu; Juan Zhang 001; Yongbin Gao (Appl. Intell., 2023)

Spatial graph attention network-based object tracking with adaptive cosine window. - Liuyi Fan; Xiaoyan Jiang; Bo Huang 014; Juan Zhang 001; Yong-Bin Gao (Appl. Intell., 2023)

Online object-level SLAM with dual bundle adjustment. - Jiaqi Liu; Yongbin Gao; Xiaoyan Jiang; Zhijun Fang (Appl. Intell., 2023)

A fine-grained causality extraction model incorporating relative location coding. - Weibing Wan; Yang Chen; Yongbin Gao; Chen Shao; Yuming Zhao (Appl. Intell., 2023)

Multi-modal Scene Global Fusion Framework for Enhanced Depth Estimation. - Anjie Wang; Xujun Wei; Mingxuan Chen; Xiaoyan Jiang; Yongbin Gao; Zhijun Fang; Siwei Ma (ICONIP (9), 2024)

Dynamic Convolution Based Intelligent Algorithm for YOLOv5 Underwater Target Detection. - Jialing Jiang; Bo Huang 014; Zhijun Fang; Yongbin Gao (SoMeT, 2024)

Transformer-based end-to-end attack on text CAPTCHAs with triplet deep attention. - Bo Zhang; Yu-Jie Xiong; Chunming Xia; Yongbin Gao (Comput. Secur., 2024)

PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis. - Jia-wei Chen; Yu-Jie Xiong; Yongbin Gao (CoRR, 2024)

CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack Segmentation. - Xiaoyan Jiang; Licheng Jiang; Anjie Wang; Kaiying Zhu; Yongbin Gao (CoRR, 2024)

Liver Cancer Knowledge Graph Construction based on dynamic entity replacement and masking strategies RoBERTa-BiLSTM-CRF model. - YiChi Zhang; Hailing Wang; Yongbin Gao; Xiaojun Hu; YingFang Fan; Zhijun Fang (CoRR, 2024)

High-resolution enhanced cross-subspace fusion network for light field image superresolution. - Shixu Ying; Shubo Zhou; Xueqin Jiang 001; Yongbin Gao; Feng Pan; Zhijun Fang (Displays, 2024)

Enhancing Few-Shot Out-of-Distribution Detection With Pre-Trained Model Features. - Jiuqing Dong; Yifan Yao; Wei Jin; Heng Zhou; Yongbin Gao; Zhijun Fang (IEEE Trans. Image Process., 2024)

A lightweight RGB superposition effect adjustment network for low-light image enhancement and denoising. - Pei-Dong Chen; Juan Zhang 001; Yong-Bin Gao; Zhi-Jun Fang; Jenq-Neng Hwang (Eng. Appl. Artif. Intell., 2024)

Self-Supervised Learning of Depth and Ego-Motion for 3D Perception in Human Computer Interaction. - Shanbao Qiao; Neal N. Xiong; Yongbin Gao; Zhijun Fang; Wenjun Yu; Juan Zhang 001; Xiaoyan Jiang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

F-SCP: An automatic prompt generation method for specific classes based on visual language pre-training models. - Baihong Han; Xiaoyan Jiang; Zhijun Fang; Hamido Fujita; Yongbin Gao (Pattern Recognit., 2024)

Entity alignment based on informative neighbor sampling and multi-embedding graph matching. - Chunmei Liu; Yongbin Gao; Zhijun Fang (Multim. Tools Appl., 2024)

Self-Enhanced Attention for Image Captioning. - Qingyu Sun; Juan Zhang 001; Zhijun Fang; Yongbin Gao (Neural Process. Lett., 2024)

TV-Net: A Structure-Level Feature Fusion Network Based on Tensor Voting for Road Crack Segmentation. - Wenwen Zheng; Xiaoyan Jiang; Zhijun Fang; Yongbin Gao (IEEE Trans. Intell. Transp. Syst., 2024)

Multiple dependence representation of attention graph convolutional network relation extraction model. - Zhao Liangfu; Yujie Xiong; Yongbin Gao; Wenjun Yu (IET Cyper-Phys. Syst.: Theory & Appl., 2024)

QLDT: adaptive Query Learning for HOI Detection via vision-language knowledge Transfer. - Xincheng Wang; Yongbin Gao; Wenjun Yu; Chenmou Wu; Mingxuan Chen; Honglei Ma; Zhichao Chen (Appl. Intell., 2024)

Monocular Depth and Ego-motion Estimation with Scale Based on Superpixel and Normal Constraints. - Junxin Lu; Yongbin Gao; Jieyu Chen; Jenq-Neng Hwang; Hamido Fujita; Zhijun Fang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Fast-Fading Channel and Power Optimization of the Magnetic Inductive Cellular Network. - Honglei Ma; Erwu Liu; Zhijun Fang; Rui Wang 001; Yongbin Gao; Wenjun Yu; Dongming Zhang (IEEE Trans. Wirel. Commun., 2024)

Adaptive multimodal prompt for human-object interaction with local feature enhanced transformer. - Kejun Xue; Yongbin Gao; Zhijun Fang; Xiaoyan Jiang; Wenjun Yu; Mingxuan Chen; Chenmou Wu (Appl. Intell., 2024)

LLM-GAODE: Large-language-model augmented neural ordinary differential equation network for video nystagmography classification. - Xihe Qiu; Shaojie Shi; Bin Li 091; Xiaoyu Tan; Yongbin Gao; Shuo Li 001 (Knowl. Based Syst., 2025)

Enhanced side information fusion framework for sequential recommendation. - Zheng-Ang Su; Juan Zhang 001; Zhijun Fang; Yongbin Gao (Int. J. Mach. Learn. Cybern., 2025)

Knowledge guided relation enhancement for human-object interaction detection. - Rui Su; Yongbin Gao; Wenjun Yu; Chenmou Wu; Xiaoyan Jiang; Shubo Zhou (Appl. Intell., 2025)

ECKT: enhancing cross-task knowledge transfer in continual few-shot relation extraction. - Yifan Yao; Juan Zhang 001; Zhijun Fang; Yongbin Gao (J. Supercomput., 2025)

Human-object interaction detection based on adaptive contrastive learning and class-specific feature enhancement. - Huanchun Peng; Kejun Xue; Xincheng Wang; Yongbin Gao; Zhijun Fang; Xiaoyan Jiang; Wenjun Yu; Chenmou Wu (Appl. Intell., 2025)