| 2026 | KDD | MFC: Mixed Federated Clustering based on Cross-modal Feature Decoupling. | Xiaxia He, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin |
| 2025 | AAAI | HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. | Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin |
| 2025 | ICASSP | A Riemannian Approach to Ground Metric Learning for Optimal Transport. | Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao |
| 2025 | ICCV | Language-Driven Multi-Label Zero-Shot Learning with Semantic Granularity. | Shouwen Wang, Qian Wan, Junbin Gao, Zhigang Zeng |
| 2025 | ICLR | Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. | Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao |
| 2025 | ICLR | When Graph Neural Networks Meet Dynamic Mode Decomposition. | Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao |
| 2025 | IJCNN | Decouple then Fusion: Flexible Graph Representation Learning with Cross-Frequency Diversity. | Shuchang Guo, Wenxuan Chen, Junbin Gao, Shilong Xu, Yuhan Li, Mingjia Liu, Jipeng Guo, Youqing Wang |
| 2025 | IJCNN | SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. | Lequan Lin, Dai Shi, Andi Han, Junbin Gao |
| 2025 | KDD | GDendrite: On Heterophilous Graph Contexts Mining with Versatile Neural Dendrites Framework. | Ruikun Li, Ye Xiao, Xiaoxiao Ma, Andrey Vasnev, Junbin Gao |
| 2025 | LCN | Enhancing Network Intrusion Detection: A Real-time Adaptive Framework for Temporal Evasion Attack Generation and Mitigation. | Md. Mehedi Hasan, Rafiqul Islam, Quazi Mamun, Md Zahidul Islam, Junbin Gao |
| 2025 | LCN | Implementing Practical Problem-Space Adversarial Attacks on Modern Network Intrusion Detection Systems. | Md. Mehedi Hasan, Rafiqul Islam, Quazi Mamun, Md Zahidul Islam, Junbin Gao |
| 2025 | PAKDD | On Leveraging Anomalies with Reference Alignment in Graph-Level Anomaly Detection. | Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao |
| 2025 | PAKDD | SplineFormer: Improving Time Series Forecasting with Kolmogorov-Arnold Networks and Enhanced ProbSparse Self-Attention. | Qingwen Zeng, Nan Yang, Jushang Qiu, Junbin Gao, Huaming Chen |
| 2025 | VTC | Cross-Domain Adversarial Attacks: Translating Network Intrusion to CAN Bus Evasion in V2X Environments. | Md. Mehedi Hasan, Rafiqul Islam, Quazi Mamun, Md Zahidul Islam, Junbin Gao |
| 2024 | AAAI | Graph Neural Networks with Soft Association between Topology and Attribute. | Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin |
| 2024 | AusDM | Enhanced Carbon Credits Price Prediction with Multiple Influencing Market Factors. | Qingwen Zeng, Hanlin Xu, Nanjun Xu, Junbin Gao, Huaming Chen |
| 2024 | ICASSP | Maximal Coding Rate Reduction for Graph Embeddings. | Zhengyang Chi, Junbin Gao |
| 2024 | ICASSP | Bregman Graph Neural Network. | Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao |
| 2024 | ICASSP | AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. | Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin |
| 2024 | ICML | Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. | Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F. Caiafa, Qibin Zhao |
| 2024 | IJCNN | Improved Attributed Graph Clustering with Representation and Structure Augmentation. | Jipeng Guo, Tengxiao Yin, Tianxiang Zhao, Jiayi Zhao, Yanfeng Sun, Junbin Gao, Youqing Wang |
| 2024 | IJCNN | Speed-up Implicit Graph Neural Diffusion Model: A Simplified and Robust Strategy. | Pengqing Shi, Junbin Gao |
| 2024 | ISNN | DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste. | Junjie Zhang, Shaojin Wu, Junbin Gao, Fusheng Yu, Hao Xu, Zhigang Zeng |
| 2024 | NCA | Enhancing Network Intrusion Detection Systems: A Real-time Adaptive Machine Learning Approach for Adversarial Packet-Mutation Mitigation. | Md. Mehedi Hasan, Md. Rafiqul Islam, Quazi Mamun, Md Zahidul Islam, Junbin Gao |
| 2024 | WWW | IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. | Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao |
| 2024 | TrustCom | BIG: A Practical Framework for Balancing the Conflict Between Group and Individual Fairness in Graph Neural Networks. | Kuan Yan, Dmytro Matsypura, Junbin Gao |
| 2023 | ACML | A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. | Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao |
| 2023 | ADMA | Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting. | Ruikun Li, Xuliang Li, Shiying Gao, S. T. Boris Choy, Junbin Gao |
| 2023 | AISTATS | Riemannian Accelerated Gradient Methods via Extrapolation. | Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao |
| 2023 | DSAA | FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. | Kuan Yan, Junbin Gao, Dmytro Matsypura |
| 2023 | ICASSP | A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. | Lequan Lin, Junbin Gao |
| 2023 | ICDE | A Review for Weighted MinHash Algorithms (Extended abstract). | Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang |
| 2023 | IJCNN | Audioset classification with Graph Convolutional Attention model. | Xuliang Li, Junbin Gao |
| 2023 | IJCNN | Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. | Dai Shi, Andi Han, Yi Guo, Junbin Gao |
| 2023 | IJCNN | Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. | Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao |
| 2023 | WWW | Robust Graph Representation Learning for Local Corruption Recovery. | Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang |
| 2022 | ICASSP | How Neural Processes Improve Graph Link Prediction. | Huidong Liang, Junbin Gao |
| 2022 | IJCNN | Tensor Neural Controlled Differential Equations. | Mingyuan Bai, Jie Chen, Qibin Zhao, Chao Li, Junping Zhang, Junbin Gao |
| 2022 | IJCNN | Hierarchical Multiple Granularity Attention Network for Long Document Classification. | Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2022 | IJCNN | Robust Graph Convolutional Clustering With Adaptive Graph Learning. | Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin |
| 2022 | NAACL | OTExtSum: Extractive Text Summarisation with Optimal Transport. | Peggy Tang, Kun Hu, Rui Yan, Lei Zhang, Junbin Gao, Zhiyong Wang |
| 2022 | WSDM | Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. | Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao |
| 2021 | AAAI | Hierarchical Graph Convolution Network for Traffic Forecasting. | Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin |
| 2021 | ICANN | Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval. | Yongli Hu, Feili Gao, Yanfeng Sun, Junbin Gao, Baocai Yin |
| 2021 | ICML | How Framelets Enhance Graph Neural Networks. | Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Li, Ming Li, Guido Montfar |
| 2021 | ICONIP | Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval. | Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin |
| 2021 | IJCAI | Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization. | Andi Han, Junbin Gao |
| 2021 | IJCNN | Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. | Mingyuan Bai, Qibin Zhao, Junbin Gao |
| 2021 | IJCNN | Hierarchical Attention Transformer Networks for Long Document Classification. | Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2021 | IJCNN | Stock Movement Prediction on Ex-Dividend Day Using Event Specific Features and Machine Learning Techniques. | Suman Saha, Junbin Gao, Richard Gerlach |
| 2020 | AAAI | Shared Generative Latent Representation Learning for Multi-View Clustering. | Ming Yin, Weitian Huang, Junbin Gao |
| 2020 | ACCV | Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. | Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin |
| 2020 | ICPR | Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. | Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin |
| 2020 | ICPR | Regularized Flexible Activation Function Combination for Deep Neural Networks. | Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran |
| 2020 | ICPR | Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network. | Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2020 | ICPR | A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint. | Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin |
| 2020 | IJCAI | Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding. | Chengkun Zhang, Junbin Gao |
| 2020 | IJCNN | Nonlinear Logistic Regression Model Based On Simplex Basis Function. | Xia Hong, Hong Wei, Junbin Gao |
| 2020 | IJCNN | Cluster Developing 1-Bit Matrix Completion. | Chengkun Zhang, Junbin Gao, Steven Lu |
| 2020 | IJCNN | On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. | Bingxin Zhou, Xuebin Zheng, Junbin Gao |
| 2019 | ADMA | DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets. | Darren Yates, Md Zahidul Islam, Junbin Gao |
| 2019 | CVPR | Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering. | Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2019 | ICONIP | Sparse Least Squares Low Rank Kernel Machines. | Di Xu, Manjing Fang, Xia Hong, Junbin Gao |
| 2019 | IJCNN | Locality Preserving Projection via Deep Neural Network. | Tianhang Long, Junbin Gao, Mingyan Yang, Yongli Hu, Baocai Yin |
| 2018 | AAAI | Locality Preserving Projection Based on F-norm. | Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin |
| 2018 | AusDM | Retinal Blood Vessels Extraction of Challenging Images. | Toufique Ahmed Soomro, Junbin Gao, Lihong Zheng, Ahmed J. Afifi, Shafiullah Soomro, Manoranjan Paul |
| 2018 | AusDM | SPAARC: A Fast Decision Tree Algorithm. | Darren Yates, Md Zahidul Islam, Junbin Gao |
| 2018 | AusDM | Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones. | Darren Yates, Md Zahidul Islam, Junbin Gao |
| 2018 | DICTA | Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss. | Toufique Ahmed Soomro, Olaf Hellwich, Ahmed J. Afifi, Manoranjan Paul, Junbin Gao, Lihong Zheng |
| 2018 | DICTA | Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition. | Gengxing Wang, Wenxiong Kang, Qiuxia Wu, Zhiyong Wang, Junbin Gao |
| 2018 | IJCAI | Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. | Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2018 | IJCNN | Functional Locality Preserving Projection for Dimensionality Reduction. | Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong |
| 2018 | IJCNN | Cyclone Track Prediction with Matrix Neural Networks. | Yanfei Zhang, Rohitash Chandra, Junbin Gao |
| 2018 | PAKDD | Shared Deep Kernel Learning for Dimensionality Reduction. | Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu |
| 2018 | SecureComm | Malware Detection for Healthcare Data Security. | Mozammel Chowdhury, Sharmin Jahan, Rafiqul Islam, Junbin Gao |
| 2017 | CVPR | Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering. | Qiong Wang, Junbin Gao, Hong Li |
| 2017 | CVPR | Low-Rank-Sparse Subspace Representation for Robust Regression. | Yongqiang Zhang, Daming Shi, Junbin Gao, Dansong Cheng |
| 2017 | DICTA | L1-2DPCA Revisit via Optimization on Product Manifolds. | Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju |
| 2017 | DICTA | Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network. | Toufique Ahmed Soomro, Ahmed J. Afifi, Junbin Gao, Olaf Hellwich, Mohammad A. U. Khan, Manoranjan Paul, Lihong Zheng |
| 2017 | ICIP | Retinal blood vessel extraction method based on basic filtering schemes. | Toufique Ahmed Soomro, Manoranjan Paul, Junbin Gao, Lihong Zheng |
| 2017 | ICONIP | Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis. | Mingyuan Bai, Boyan Zhang, Junbin Gao |
| 2017 | ICONIP | A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation. | Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich |
| 2017 | ICONIP | Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem. | Yanfei Zhang, Junbin Gao |
| 2017 | IJCAI | Locality Preserving Projections for Grassmann manifold. | Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali, Baocai Yin |
| 2017 | IJCNN | Matrix variate RBM model with Gaussian distributions. | Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin |
| 2017 | ISNN | Matrix Neural Networks. | Junbin Gao, Yi Guo, Zhiyong Wang |
| 2017 | SecureComm | Fast and Robust Biometric Authentication Scheme Using Human Ear. | Mozammel Chowdhury, Rafiqul Islam, Junbin Gao |
| 2016 | AAAI | Product Grassmann Manifold Representation and Its LRR Models. | Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2016 | CVPR | Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis. | Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin |
| 2016 | CVPR | Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization. | Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi |
| 2016 | CVPR | Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. | Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie |
| 2016 | DICTA | MLE-Based Learning on Grassmann Manifolds. | Muhammad Ali, Junbin Gao, Michael Antolovich |
| 2016 | DICTA | Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy. | Toufique Ahmed Soomro, Junbin Gao, Mohammad A. U. Khan, Tariq Mahmood Khan, Manoranjan Paul |
| 2016 | DICTA | Automatic Retinal Vessel Extraction Algorithm. | Toufique Ahmed Soomro, Mohammad A. U. Khan, Junbin Gao, Tariq Mahmood Khan, Manoranjan Paul, Nighat Mir |
| 2016 | ICONIP | Detection of Human Faces Using Neural Networks. | Mozammel Chowdhury, Junbin Gao, Rafiqul Islam |
| 2016 | IJCNN | Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions. | Muhammad Ali, Junbin Gao, Michael Antolovich |
| 2016 | IJCNN | Manifold optimization for nonnegative coefficient logistic regression. | Xia Hong, Junbin Gao |
| 2016 | IJCNN | Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. | Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang |
| 2016 | IJCNN | Matrix Variate Restricted Boltzmann Machine. | Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li |
| 2016 | IJCNN | Neural network based denoised methods for retinal fundus images and MRI brain images. | Toufique Ahmed Soomro, Junbin Gao |
| 2016 | IVCNZ | Fuzzy rule based approach for face and facial feature extraction in biometric authentication. | Mozammel Chowdhury, Junbin Gao, Rafiqul Islam |
| 2016 | IVCNZ | Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes. | Mohammad A. U. Khan, Toufique Ahmed Soomro, Tariq Mahmood Khan, Donald G. Bailey, Junbin Gao, Nighat Mir |
| 2016 | SecureComm | Biometric Authentication Using Facial Recognition. | Mozammel Chowdhury, Junbin Gao, Rafiqul Islam |
| 2016 | SGAI | A Fast Algorithm to Estimate the Square Root of Probability Density Function. | Xia Hong, Junbin Gao |
| 2015 | CVPR | Learning graph structure for multi-label image classification via clique generation. | Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang |
| 2015 | DICTA | Selective Multi-Source Total Variation Image Restoration. | Stephen Tierney, Yi Guo, Junbin Gao |
| 2015 | IJCNN | Low rank sequential subspace clustering. | Yi Guo, Junbin Gao, Feng Li, Stephen Tierney, Ming Yin |
| 2015 | IJCNN | Sparse density estimation on multinomial manifold combining local component analysis. | Xia Hong, Junbin Gao |
| 2015 | SDM | Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. | Yifan Fu, Junbin Gao, Xia Hong, David Tien |
| 2015 | SecureComm | Image Spam Classification Using Neural Network. | Mozammel Chowdhury, Junbin Gao, Morshed U. Chowdhury |
| 2015 | SecureComm | Human Surveillance System for Security Application. | Mozammel Chowdhury, Junbin Gao, Rafiqul Islam |
| 2014 | ACCV | Low Rank Representation on Grassmann Manifolds. | Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin |
| 2014 | CVPR | Subspace Clustering for Sequential Data. | Stephen Tierney, Junbin Gao, Yi Guo |
| 2014 | DICTA | Image Segmentation Using Dictionary Learning and Compressed Random Features. | Geoff Bull, Junbin Gao, Michael Antolovich |
| 2014 | DICTA | Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. | Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang |
| 2014 | DICTA | The W-Penalty and Its Application to Alpha Matting with Sparse Labels. | Stephen Tierney, Junbin Gao, Yi Guo |
| 2014 | DICTA | Affinity Pansharpening and Image Fusion. | Stephen Tierney, Junbin Gao, Yi Guo |
| 2014 | ICASSP | Blocky artifact removal with low-rank matrix recovery. | Ming Yin, Junbin Gao, Yanfeng Sun, Shuting Cai |
| 2014 | ICDM | Tensor Regression Based on Linked Multiway Parameter Analysis. | Yifan Fu, Junbin Gao, Xia Hong, David Tien |
| 2014 | ICPR | Smoothing Security Prices. | Adrian Letchford, Junbin Gao, Lihong Zheng |
| 2014 | IJCNN | Joint multiple dictionary learning for Tensor sparse coding. | Yifan Fu, Junbin Gao, Yanfeng Sun, Xia Hong |
| 2014 | IJCNN | Tensor LRR based subspace clustering. | Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin |
| 2014 | IJCNN | Fuzzy c-means clustering with a new regularization term for image segmentation. | Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang |
| 2014 | IJCNN | Dimensionality reduction assisted tensor clustering. | Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris |
| 2014 | IJCNN | Linear Subspace Learning via sparse dimension reduction. | Ming Yin, Yi Guo, Junbin Gao |
| 2014 | PAKDD | Gaussian Processes Autoencoder for Dimensionality Reduction. | Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai |
| 2013 | ADMA | Endmember Extraction by Exemplar Finder. | Yi Guo, Junbin Gao, Yanfeng Sun |
| 2013 | DICTA | Image Matting for Sparse User Input by Iterative Refinement. | Stephen Tierney, Geoff Bull, Junbin Gao |
| 2013 | ICIP | Restricted Boltzmann machine approach to couple dictionary training for image super-resolution. | Junbin Gao, Yi Guo, Ming Yin |
| 2013 | ICIP | Robust face recognition via double low-rank matrix recovery for feature extraction. | Ming Yin, Shuting Cai, Junbin Gao |
| 2013 | IGARSS | Large scale hyperspectral data segmentation by random spatial subspace clustering. | Yi Guo, Junbin Gao, Feng Li |
| 2013 | PAKDD | Dimensionality Reduction with Dimension Selection. | Yi Guo, Junbin Gao, Feng Li |
| 2012 | DICTA | Transposed Low Rank Representation for Image Classification. | Geoff Bull, Junbin Gao |
| 2012 | DICTA | Natural Image Matting with Total Variation Regularisation. | Stephen Tierney, Junbin Gao |
| 2012 | ICASSP | 3D motion estimation for 3D video coding. | Manoranjan Paul, Junbin Gao, Michael Antolovich |
| 2012 | IJCNN | Thin Plate Spline Latent Variable Models for dimensionality reduction. | Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang |
| 2012 | IJCNN | Optimizing the moving average. | Adrian Letchford, Junbin Gao, Lihong Zheng |
| 2012 | IJCNN | CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection. | Md. Geaur Rahman, Md Zahidul Islam, Terry Bossomaier, Junbin Gao |
| 2011 | DICTA | Classification of Hand-Written Digits Using Chordiograms. | Geoff Bull, Junbin Gao |
| 2011 | DICTA | Image Matting via Local Tangent Space Alignment. | Junbin Gao |
| 2011 | IJCNN | Multi-task beta process sparse kernel machines. | Junbin Gao |
| 2011 | PAKDD | Local Feature Based Tensor Kernel for Image Manifold Learning. | Yi Guo, Junbin Gao |
| 2011 | SDM | Gaussian Process for Dimensionality Reduction in Transfer Learning. | Bin Tong, Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki |
| 2010 | ICARCV | Efficient character segmentation on car license plates. | Lihong Zheng, Junbin Gao, Xiangjian He |
| 2010 | PAKDD | Learning Gradients with Gaussian Processes. | Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan |
| 2009 | PAKDD | Sparse Kernel Learning and the Relevance Units Machine. | Junbin Gao, Jun Zhang |
| 2007 | ADMA | Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints. | Yi Guo, Paul Wing Hing Kwan, Junbin Gao |
| 2007 | AusDM | A Discriminant Analysis for Undersampled Data. | Matthew Robards, Junbin Gao, Philip Charlton |
| 2007 | ICDM | Twin Kernel Embedding with Back Constraints. | Yi Guo, Paul Wing Hing Kwan, Junbin Gao |
| 2007 | ISNN | The Kernelized Geometrical Bisection Methods. | Xiaomao Liu, Shujuan Cao, Junbin Gao, Jun Zhang |
| 2006 | ADC | A multi-step strategy for approximate similarity search in image databases. | Paul Wing Hing Kwan, Junbin Gao |
| 2006 | SMC | Manifolds of Bag of Pixels: A Better Representation for Image Recognition. | Yi Guo, Junbin Gao |
| 2004 | AI | Radial Basis Function Network Pruning by Sensitivity Analysis. | Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen |
| 2004 | ICPR | Critical Vector Learning to Construct RBF Classifiers. | Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung |
| 2004 | SMC | On the construction of support wavelet network. | Junbin Gao, Fei Chen, Daming Shi |