Junbin Gao - RankMe

558 papers A* 30A 9B 51C 12Misc 32Journal 355Unranked 68

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive multi-view transformer ensemble for intrusion detection: Addressing data imbalance and enhancing attack classification. Internet Things Md. Mehedi Hasan, Md. Rafiqul Islam, Quazi Mamun, Md Zahid Islam, Junbin Gao
2026	J	`jnl`	An Empirical Analysis of Loss Functions for Deep Retinal Vessel Segmentation. ACM Trans. Comput. Heal. Ayoub Fatihi, Toufique Ahmed Soomro, Tareq A. Alawneh, Ahmed J. Afifi, Faisal Bin Ubaid, Herbert F. Jelinek, Lihong Zheng, Shafique Ahmed Soomro, Junbin Gao
2026	J	`jnl`	Anchor-to-graph structural co-regularization for scalable multi-view clustering. Pattern Recognit. Jipeng Guo, Xiang Xu, Yu Cao, Man Cao, Mengyuan Xin, Tianxiang Zhao, Ye Su, Junbin Gao, Mingliang Cui, Youqing Wang
2026	J	`jnl`	Bias Mitigation in Large Language Models for Tabular Data Classification. Mach. Learn. Haohui Lu, Zhiqi Shao, Junbin Gao, Shahadat Uddin
2026	J	`jnl`	Diffusion denoised and physics-regularized inter-series model for long-horizon multivariate time-series forecasting. Inf. Fusion Hongwei Ma, Jiayu Fang, Dai Shi, Zhiqi Shao, Junbin Gao
2026	J	`jnl`	Dual-level noise augmentation for graph clustering with triplet-wise contrastive learning. Pattern Recognit. Tianxiang Zhao, Youqing Wang, Shilong Xu, Tianchuan Yang, Junbin Gao, Jipeng Guo
2026	J	`jnl`	Ensemble of Similar Differential Evolution Algorithms With Algorithm Replacement at Position Without Individual Replacement. IEEE Trans. Emerg. Top. Comput. Intell. Chuchuan Cen, Chengjun Li, Junbin Gao, Mingyuan Bai, Shengxiang Yang
2026	J	`jnl`	Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations. CoRR Dai Shi, Lequan Lin, Andi Han, Luke Thompson, José Miguel Hernández-Lobato, Zhiyong Wang, Junbin Gao
2026	J	`jnl`	HeteroX: An interpretable Dual-tier Heterogeneous Graph for sustainable investment decisions. Comput. Ind. Eng. Firouzeh Rosa Taghikhah, Shaghayegh Hosseinpour, Junbin Gao
2026	—	`conf`	MFC: Mixed Federated Clustering based on Cross-modal Feature Decoupling. KDD (1) Xiaxia He, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin
2026	J	`jnl`	Mix-Persona Comment Generation and Geographically Enhanced Context Retrieval for LLM Fine-Tuning in Multimodal Crisis Post Classification. ISPRS Int. J. Geo Inf. Tong Bie, Yongli Hu, Yu Fu, Linjia Hao, Tengfei Liu, Kan Guo, Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin
2026	J	`jnl`	Multi-agent role-playing by LLMs and LMMs: An explainable open-world multi-modal crisis tweet classification method. Expert Syst. Appl. Tong Bie, Yongli Hu, Yu Fu, Linjia Hao, Tengfei Liu, Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin
2026	J	`jnl`	Multimodal Knowledge Graph Completion by Cross-Modal Interaction With Similarity Enhancing and Difference Embracing. IEEE Trans. Neural Networks Learn. Syst. Linjia Hao, Yongli Hu, Tong Bie, Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin
2026	J	`jnl`	Representation Then Augmentation: Wide Graph Clustering Network with Multi-Order Filter Fusion and Double-Level Contrastive Learning. IEEE CAA J. Autom. Sinica Youqing Wang, Tianxiang Zhao, Mingliang Cui, Junbin Gao, Li Liang, Jipeng Guo
2026	J	`jnl`	Toward an Integrated Cross-Urban Accident Prevention System: A Multi-Task Spatial-Temporal Learning Framework for Urban Safety Management. CoRR Jiayu Fang, Zhiqi Shao, Haoning Xi, S. T. Boris Choy, Junbin Gao
2026	J	`jnl`	Unleashing Mamba's expressive power: A non-tradeoff approach to spatio-temporal forecasting. Inf. Fusion Zhiqi Shao, Ze Wang, Haoning Xi, Michael G. H. Bell, Xusheng Yao, D. Glenn Geers, Junbin Gao
2026	J	`jnl`	Wiener Chaos Expansion based Neural Operator for Singular Stochastic Partial Differential Equations. CoRR Dai Shi, Luke Thompson, Andi Han, Peiyan Hu, Junbin Gao, José Miguel Hernández-Lobato
2025	Misc	`conf`	A Riemannian Approach to Ground Metric Learning for Optimal Transport. ICASSP Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao
2025	J	`jnl`	ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking. CoRR Lequan Lin, Dai Shi, Andi Han, Feng Chen, Qiuzheng Chen, Jiawen Li, Zhaoyang Li, Jiyuan Li, Zhenbang Sun, Junbin Gao
2025	J	`jnl`	ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics. CoRR Luke Thompson, Davy Guan, Dai Shi, Slade Matthews, Junbin Gao, Andi Han
2025	J	`jnl`	BiFormer: A Bipartite-stream Information Fusion framework for large-scale graph representation learning. Neural Networks Qi Zhang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin
2025	J	`jnl`	Bridging the Cross-Modality Semantic Gap in Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. Boyue Wang, Yujian Ma, Xiaoyan Li, Junbin Gao, Yongli Hu, Baocai Yin
2025	J	`jnl`	CPformer - Concept and Physics enhanced Transformer for Time Series Forecasting. CoRR Hongwei Ma, Junbin Gao, Minh-Ngoc Tran
2025	J	`jnl`	Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling. CoRR Xiaoyang Li, Linwei Tao, Haohui Lu, Minjing Dong, Junbin Gao, Chang Xu
2025	J	`jnl`	Combating confirmation bias: a unified pseudo-labeling framework for entity alignment. Data Min. Knowl. Discov. Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao
2025	J	`jnl`	Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global. CoRR Jinlu Wang, Yanfeng Sun, Jiapu Wang, Junbin Gao, Shaofan Wang, Jipeng Guo
2025	J	`jnl`	Counterfactual Dual-Bias VQA: A Multimodality Debias Learning for Robust Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. Boyue Wang, Xiaoqian Ju, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin
2025	—	`conf`	Cross-Domain Adversarial Attacks: Translating Network Intrusion to CAN Bus Evasion in V2X Environments. VTC2025-Spring Md. Mehedi Hasan, Rafiqul Islam, Quazi Mamun, Md Zahidul Islam, Junbin Gao
2025	J	`jnl`	DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations. IEEE Trans. Big Data Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin
2025	B	`conf`	Decouple then Fusion: Flexible Graph Representation Learning with Cross-Frequency Diversity. IJCNN Shuchang Guo, Wenxuan Chen, Junbin Gao, Shilong Xu, Yuhan Li, Mingjia Liu, Jipeng Guo, Youqing Wang
2025	J	`jnl`	Design your own universe: a physics-informed agnostic method for enhancing graph neural networks. Int. J. Mach. Learn. Cybern. Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao
2025	A*	`conf`	Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. ICLR Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao
2025	J	`jnl`	Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future. CoRR Qingwen Zeng, Hanlin Xu, Nanjun Xu, Flora D. Salim, Junbin Gao, Huaming Chen
2025	J	`jnl`	Frameless Graph Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. Dai Shi, Zhiqi Shao, Junbin Gao, Zhiyong Wang, Yi Guo
2025	J	`jnl`	From Noise to Laws: Regularized Time-Series Forecasting via Denoised Dynamic Graphs. CoRR Hongwei Ma, Junbin Gao, Minh-Ngoc Tran
2025	—	`conf`	GDendrite: On Heterophilous Graph Contexts Mining with Versatile Neural Dendrites Framework. KDD (2) Ruikun Li, Ye Xiao, Xiaoxiao Ma, Andrey Vasnev, Junbin Gao
2025	J	`jnl`	GFformer: A Graph Transformer for Extracting All Frequency Information from Large-scale Graphs. ACM Trans. Knowl. Discov. Data Qi Zhang, Mengmeng Si, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin
2025	J	`jnl`	Globality Meets Locality: An Anchor Graph Collaborative Learning Framework for Fast Multiview Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. Jipeng Guo, Yanfeng Sun, Xin Ma, Junbin Gao, Yongli Hu, Youqing Wang, Baocai Yin
2025	J	`jnl`	Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond. CoRR Dai Shi, Kuan Yan, Lequan Lin, Yue Zeng, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao
2025	A*	`conf`	HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. AAAI Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin
2025	J	`jnl`	HKMCNN: Heat Kernel Mesh-Based Convolutional Neural Networks. Knowl. Based Syst. Tingting Li, Yunhui Shi, Junbin Gao, Jin Wang, Baocai Yin
2025	J	`jnl`	Hierarchical Multi-Modal Transformer for Cross-Modal Long Document Classification. IEEE Trans. Multim. Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2025	J	`jnl`	Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering. CoRR Tianxiang Zhao, Youqing Wang, Jinlu Wang, Jiapu Wang, Mingliang Cui, Junbin Gao, Jipeng Guo
2025	A*	`conf`	Large-Small Model Synergy with Multimodal Fine-Grained Heuristics for Knowledge-Based Visual Question Answering. ACM Multimedia Zhongfan Sun, Kan Guo, Yongli Hu, Daxin Tian, Qingqing Gao, Jiapu Wang, Junbin Gao, Yanfeng Sun, Baocai Yin
2025	—	`conf`	Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration. BIOSTEC (1) Kuan Yan, Yue Zeng, Dai Shi, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao
2025	A	`conf`	Magnetic Framelet-Based Graph Contrastive Learning for Signed-Directed Graph. ICME Yuting Chu, Yanfeng Sun, Fujiao Ju, Junbin Gao, Shaofan Wang, Baocai Yin
2025	J	`jnl`	Modality Perception Learning-Based Determinative Factor Discovery for Multimodal Fake News Detection. IEEE Trans. Neural Networks Learn. Syst. Boyue Wang, Guangchao Wu, Xiaoyan Li, Junbin Gao, Yongli Hu, Baocai Yin
2025	J	`jnl`	Multi-Granularity Feature Interaction and Multi-Region Selection Based Triplet Visual Question Answering. IEEE Trans. Big Data Heng Liu, Boyue Wang, Yanfeng Sun, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin
2025	J	`jnl`	Multi-Modal Entity in One Word: Aligning Multi-Level Semantics for Multi-Modal Knowledge Graph Completion. IEEE Trans. Big Data Lan Zhao, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin
2025	J	`jnl`	Multi-scale signed graph convolutional network based on framelet. Neural Networks Yuting Chu, Fujiao Ju, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin
2025	J	`jnl`	Multi-view subspace clustering with incomplete graph information. IET Comput. Vis. Xiaxia He, Boyue Wang, Cuicui Luo, Junbin Gao, Yongli Hu, Baocai Yin
2025	—	`conf`	On Leveraging Anomalies with Reference Alignment in Graph-Level Anomaly Detection. PAKDD (1) Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao
2025	J	`jnl`	PREIG: Physics-informed and Reinforcement-driven Interpretable GRU for Commodity Demand Forecasting. CoRR Hongwei Ma, Junbin Gao, Minh-Ngoc Tran
2025	J	`jnl`	Quasi-framelets: robust graph neural networks via adaptive framelet convolution. Int. J. Mach. Learn. Cybern. Mengxi Yang, Dai Shi, Xuebin Zheng, Jie Yin, Junbin Gao
2025	J	`jnl`	Rescaled three-mode principal component analysis: An approach to subspace recovery. Neural Networks Mingli Wang, Junbin Gao, Xinwei Jiang, Chunlong Hu, Feng Qin, Tianjiang Wang
2025	J	`jnl`	Revisiting time-varying dynamics in stock market forecasting: A multi-source sentiment analysis approach with large language model. Decis. Support Syst. Zhiqi Shao, Xusheng Yao, Feng Chen, Ze Wang, Junbin Gao
2025	J	`jnl`	ST-MambaSync: Complement the power of Mamba and Transformer fusion for less computational cost in spatial-temporal traffic forecasting. Inf. Fusion Zhiqi Shao, Ze Wang, Xusheng Yao, Michael G. H. Bell, Junbin Gao
2025	J	`jnl`	STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting. CoRR Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao
2025	—	`conf`	SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer. AI (1) Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao
2025	J	`jnl`	SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer. CoRR Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao
2025	B	`conf`	SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. IJCNN Lequan Lin, Dai Shi, Andi Han, Junbin Gao
2025	—	`conf`	SplineFormer: Improving Time Series Forecasting with Kolmogorov-Arnold Networks and Enhanced ProbSparse Self-Attention. PAKDD (4) Qingwen Zeng, Nan Yang, Jushang Qiu, Junbin Gao, Huaming Chen
2025	J	`jnl`	Tackling Real-World Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification. IEEE Trans. Circuits Syst. Video Technol. Tengfei Liu, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin
2025	J	`jnl`	Training Large-Scale Graph Neural Networks via Graph Partial Pooling. IEEE Trans. Big Data Qi Zhang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Yongli Hu, Baocai Yin
2025	J	`jnl`	UFGTime: Mining Intertwined Dependencies in Multivariate Time Series via an Efficient Pure Graph Approach (Flavor: Foundations and Algorithms Papers). Proc. VLDB Endow. Ruikun Li, Dai Shi, Ye Xiao, Junbin Gao
2025	A*	`conf`	When Graph Neural Networks Meet Dynamic Mode Decomposition. ICLR Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao
2024	J	`jnl`	A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Chunbo Cheng, Liming Zhang, Hong Li, Wenjing Cui, Junbin Gao, Yuxiao Cun
2024	J	`jnl`	A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery. IEEE Trans. Neural Networks Learn. Syst. Yachao Yang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Fujiao Ju, Baocai Yin
2024	J	`jnl`	A Riemannian Approach to Ground Metric Learning for Optimal Transport. CoRR Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao
2024	J	`jnl`	A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs. IEEE Trans. Artif. Intell. Chunya Zou, Andi Han, Lequan Lin, Ming Li, Junbin Gao
2024	Misc	`conf`	AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. ICASSP Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin
2024	B	`conf`	BIG: A Practical Framework for Balancing the Conflict Between Group and Individual Fairness in Graph Neural Networks. TrustCom Kuan Yan, Dmytro Matsypura, Junbin Gao
2024	J	`jnl`	Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks. Neural Networks Qi Zhang, Jinghua Li, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin
2024	Misc	`conf`	Bregman Graph Neural Network. ICASSP Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao
2024	J	`jnl`	CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model. CoRR Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Xusheng Yao, Junbin Gao
2024	J	`jnl`	CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering. IEEE Trans. Circuits Syst. Video Technol. Kan Guo, Daxin Tian, Yongli Hu, Chunmian Lin, Yanfeng Sun, Jianshan Zhou, Xuting Duan, Junbin Gao, Baocai Yin
2024	A	`conf`	Common-Memory Bridged Cross-Modal Adaptive Graph Embedding for Image-Text Retrieval. ICME Zheng Cui, Yongli Hu, Jiapu Wang, Junbin Gao, Yanfeng Sun, Baocai Yin
2024	J	`jnl`	Contrastive optimized graph convolution network for traffic forecasting. Neurocomputing Kan Guo, Daxin Tian, Yongli Hu, Yanfeng Sun, Zhen (sean) Qian, Jianshan Zhou, Junbin Gao, Baocai Yin
2024	J	`jnl`	Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification. ACM Trans. Knowl. Discov. Data Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2024	J	`jnl`	DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations. CoRR Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin
2024	J	`jnl`	Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks. CoRR Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao
2024	C	`conf`	DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste. ISNN Junjie Zhang, Shaojin Wu, Junbin Gao, Fusheng Yu, Hao Xu, Zhigang Zeng
2024	J	`jnl`	Differentially private Riemannian optimization. Mach. Learn. Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2024	J	`jnl`	Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. CoRR Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao
2024	A*	`conf`	Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. ICML Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F. Caiafa, Qibin Zhao
2024	J	`jnl`	Diffusion models for time-series applications: a survey. Frontiers Inf. Technol. Electron. Eng. Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
2024	J	`jnl`	Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs. CoRR Yachao Yang, Yanfeng Sun, Jipeng Guo, Junbin Gao, Shaofan Wang, Fujiao Ju, Baocai Yin
2024	Misc	`conf`	Enhanced Carbon Credits Price Prediction with Multiple Influencing Market Factors. AusDM Qingwen Zeng, Hanlin Xu, Nanjun Xu, Junbin Gao, Huaming Chen
2024	B	`conf`	Enhancing Network Intrusion Detection Systems: A Real-time Adaptive Machine Learning Approach for Adversarial Packet-Mutation Mitigation. NCA Md. Mehedi Hasan, Md. Rafiqul Islam, Quazi Mamun, Md Zahidul Islam, Junbin Gao
2024	J	`jnl`	Enhancing framelet GCNs with generalized p-Laplacian regularization. Int. J. Mach. Learn. Cybern. Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao
2024	J	`jnl`	Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily. IEEE Trans. Neural Networks Learn. Syst. Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu
2024	J	`jnl`	From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. Trans. Mach. Learn. Res. Andi Han, Dai Shi, Lequan Lin, Junbin Gao
2024	J	`jnl`	Graph Denoising With Framelet Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao
2024	A*	`conf`	Graph Neural Networks with Soft Association between Topology and Attribute. AAAI Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin
2024	J	`jnl`	HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. CoRR Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin
2024	J	`jnl`	Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification. IEEE ACM Trans. Audio Speech Lang. Process. Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2024	J	`jnl`	Hierarchical Multi-Modal Prompting Transformer for Multi-Modal Long Document Classification. IEEE Trans. Circuits Syst. Video Technol. Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2024	J	`jnl`	Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification. CoRR Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2024	A*	`conf`	IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. WWW Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao
2024	J	`jnl`	IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. CoRR Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao
2024	B	`conf`	Improved Attributed Graph Clustering with Representation and Structure Augmentation. IJCNN Jipeng Guo, Tengxiao Yin, Tianxiang Zhao, Jiayi Zhao, Yanfeng Sun, Junbin Gao, Youqing Wang
2024	J	`jnl`	Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis. IEEE Trans. Circuits Syst. Video Technol. Hengmin Zhang, Junbin Gao, Jianjun Qian, Jian Yang, Chunyan Xu, Bob Zhang
2024	J	`jnl`	MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion. IEEE Trans. Cybern. Jiapu Wang, Boyue Wang, Junbin Gao, Shirui Pan, Tengfei Liu, Baocai Yin, Wen Gao
2024	J	`jnl`	Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration. CoRR Kuan Yan, Yue Zeng, Dai Shi, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao
2024	Misc	`conf`	Maximal Coding Rate Reduction for Graph Embeddings. ICASSP Zhengyang Chi, Junbin Gao
2024	J	`jnl`	Mixed-Modality Clustering via Generative Graph Structure Matching. IEEE Trans. Knowl. Data Eng. Xiaxia He, Boyue Wang, Junbin Gao, Qianqian Wang, Yongli Hu, Baocai Yin
2024	J	`jnl`	Multi-Level Interaction Based Knowledge Graph Completion. IEEE ACM Trans. Audio Speech Lang. Process. Jiapu Wang, Boyue Wang, Junbin Gao, Simin Hu, Yongli Hu, Baocai Yin
2024	J	`jnl`	Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer. Neural Networks Tengfei Liu, Yongli Hu, Junbin Gao, Jiapu Wang, Yanfeng Sun, Baocai Yin
2024	J	`jnl`	Parallelly Adaptive Graph Convolutional Clustering Model. IEEE Trans. Neural Networks Learn. Syst. Xiaxia He, Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2024	J	`jnl`	QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion. IEEE Trans. Neural Networks Learn. Syst. Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin
2024	J	`jnl`	Recent advances in artificial intelligence generated content. Frontiers Inf. Technol. Electron. Eng. Junping Zhang, Lingyun Sun, Cong Jin, Junbin Gao, Xiaobing Li, Jiebo Luo, Zhigeng Pan, Ying Tang, Jingdong Wang
2024	J	`jnl`	Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
2024	J	`jnl`	Riemannian block SPD coupling manifold and its application to optimal transport. Mach. Learn. Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2024	J	`jnl`	SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP. Trans. Mach. Learn. Res. Jie Chen, Mingyuan Bai, Shouzhen Chen, Junbin Gao, Junping Zhang, Jian Pu
2024	J	`jnl`	ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction. CoRR Zhiqi Shao, Xusheng Yao, Ze Wang, Junbin Gao
2024	J	`jnl`	ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting. CoRR Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Haoning Xi, Junbin Gao
2024	J	`jnl`	STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting. CoRR Zhiqi Shao, Haoning Xi, Haohui Lu, Ze Wang, Michael G. H. Bell, Junbin Gao
2024	J	`jnl`	SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. CoRR Lequan Lin, Dai Shi, Andi Han, Junbin Gao
2024	B	`conf`	Speed-up Implicit Graph Neural Diffusion Model: A Simplified and Robust Strategy. IJCNN Pengqing Shi, Junbin Gao
2024	J	`jnl`	Unleash Graph Neural Networks from Heavy Tuning. CoRR Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao
2024	J	`jnl`	Variational Counterfactual Prediction Under Runtime Domain Corruption. IEEE Trans. Knowl. Data Eng. Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
2024	J	`jnl`	When Graph Neural Networks Meet Dynamic Mode Decomposition. CoRR Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao
2023	Misc	`conf`	A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. ICASSP Lequan Lin, Junbin Gao
2023	C	`conf`	A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. ACML Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao
2023	A*	`conf`	A Review for Weighted MinHash Algorithms (Extended abstract). ICDE Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
2023	B	`conf`	Audioset classification with Graph Convolutional Attention model. IJCNN Xuliang Li, Junbin Gao
2023	A*	`conf`	Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA. ACM Multimedia Zhongfan Sun, Yongli Hu, Qingqing Gao, Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin
2023	J	`jnl`	Bregman Graph Neural Network. CoRR Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao
2023	J	`jnl`	CSD-R Int. J. Geogr. Inf. Sci. Yang Li, Mingyuan Bai, Qingfeng Guan, Zi Ming, Xun Liang, Gang Liu, Junbin Gao
2023	J	`jnl`	CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering. IEEE Trans. Knowl. Data Eng. Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin
2023	J	`jnl`	Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment. CoRR Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao
2023	J	`jnl`	Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082. Signal Process. Yi Guo, Stephen Tierney, Junbin Gao
2023	—	`conf`	DAFormer: Depth-aware 3D Object Detection Guided by Camera Model via Transformers. CBS Junbin Gao, Hao Ruan, BingRong Xu, Zhigang Zeng
2023	J	`jnl`	Diffusion Models for Time Series Applications: A Survey. CoRR Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
2023	J	`jnl`	Domain Adaptation as Optimal Transport on Grassmann Manifolds. IEEE Trans. Neural Networks Learn. Syst. Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2023	—	`conf`	Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. SustaiNLP Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang
2023	J	`jnl`	Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. CoRR Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang
2023	B	`conf`	Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. IJCNN Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao
2023	J	`jnl`	Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. CoRR Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao
2023	B	`conf`	FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. DSAA Kuan Yan, Junbin Gao, Dmytro Matsypura
2023	B	`conf`	Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN Dai Shi, Andi Han, Yi Guo, Junbin Gao
2023	J	`jnl`	Frameless Graph Knowledge Distillation. CoRR Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao
2023	J	`jnl`	From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. CoRR Andi Han, Dai Shi, Lequan Lin, Junbin Gao
2023	—	`conf`	GNet: 3D Object Detection from Point Cloud with Geometry-Aware Network. CBS Hao Ruan, BingRong Xu, Junbin Gao, Lianguang Liu, Junting Lv, Yin Sheng, Zhigang Zeng
2023	—	`conf`	Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting. ADMA (1) Ruikun Li, Xuliang Li, Shiying Gao, S. T. Boris Choy, Junbin Gao
2023	J	`jnl`	Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification. IEEE Trans. Neural Networks Learn. Syst. Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao
2023	J	`jnl`	Graph contrastive learning with implicit augmentations. Neural Networks Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
2023	J	`jnl`	Graph structure learning layer and its graph convolution clustering application. Neural Networks Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin
2023	J	`jnl`	Hierarchical Graph Convolutional Networks for Structured Long Document Classification. IEEE Trans. Neural Networks Learn. Syst. Tengfei Liu, Yongli Hu, Boyue Wang, Yanfeng Sun, Junbin Gao, Baocai Yin
2023	J	`jnl`	Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. Guangyu Huo, Yong Zhang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin
2023	J	`jnl`	How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao
2023	—	`conf`	Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. GSI (1) Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2023	J	`jnl`	Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2023	J	`jnl`	MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. Knowl. Based Syst. Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
2023	J	`jnl`	Multi-Concept Representation Learning for Knowledge Graph Completion. ACM Trans. Knowl. Discov. Data Jiapu Wang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin
2023	J	`jnl`	Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision. Neural Networks Yachao Yang, Yanfeng Sun, Fujiao Ju, Shaofan Wang, Junbin Gao, Baocai Yin
2023	J	`jnl`	Nonconvex-nonconcave min-max optimization on Riemannian manifolds. Trans. Mach. Learn. Res. Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2023	J	`jnl`	Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
2023	A	`conf`	Riemannian Accelerated Gradient Methods via Extrapolation. AISTATS Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2023	J	`jnl`	Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
2023	A*	`conf`	Robust Graph Representation Learning for Local Corruption Recovery. WWW Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
2023	J	`jnl`	Robust discriminant analysis with feature selective projection and between-classes structural incoherence. Digit. Signal Process. Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2023	J	`jnl`	TDN: Triplet Distributor Network for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin
2023	A*	`conf`	TopicCAT: Unsupervised Topic-Guided Co-Attention Transformer for Extreme Multimodal Summarisation. ACM Multimedia Peggy Tang, Kun Hu, Lei Zhang, Junbin Gao, Jiebo Luo, Zhiyong Wang
2023	J	`jnl`	Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing Xia Hong, Junbin Gao, Hong Wei, James Xiao, Richard J. Mitchell
2023	J	`jnl`	Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao
2023	J	`jnl`	Variational Counterfactual Prediction under Runtime Domain Corruption. CoRR Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
2023	J	`jnl`	Wasserstein Adversarially Regularized Graph Autoencoder. Neurocomputing Huidong Liang, Junbin Gao
2022	J	`jnl`	A Decoder-Free Variational Deep Embedding for Unsupervised Clustering. IEEE Trans. Neural Networks Learn. Syst. Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2022	J	`jnl`	A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. CoRR Lequan Lin, Junbin Gao
2022	J	`jnl`	A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
2022	J	`jnl`	A Simple Yet Effective SVD-GCN for Directed Graphs. CoRR Chunya Zou, Andi Han, Lequan Lin, Junbin Gao
2022	J	`jnl`	A Sparse Oblique-Manifold Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. Ziyang Guo, Anyou Min, Bing Yang, Junhong Chen, Hong Li, Junbin Gao
2022	J	`jnl`	A survey of the application of graph-based approaches in stock market analysis and prediction. Int. J. Data Sci. Anal. Suman Saha, Junbin Gao, Richard Gerlach
2022	J	`jnl`	Adaptive graph convolutional clustering network with optimal probabilistic graph. Neural Networks Jiayi Zhao, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Baocai Yin
2022	J	`jnl`	Adaptive hierarchical hyper-gradient descent. Int. J. Mach. Learn. Cybern. Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran
2022	J	`jnl`	Adversarially regularized joint structured clustering network. Inf. Sci. Yachao Yang, Fujiao Ju, Yanfeng Sun, Junbin Gao, Baocai Yin
2022	J	`jnl`	Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network. IEEE Trans. Affect. Comput. Jiahao Xu, Boyan Zhang, Zhiyong Wang, Yang Wang, Fang Chen, Junbin Gao, David Dagan Feng
2022	J	`jnl`	An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting. IEEE Intell. Transp. Syst. Mag. Kan Guo, Yongli Hu, Yanfeng Sun, Zhen Sean Qian, Junbin Gao, Baocai Yin
2022	J	`jnl`	Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research. Artif. Intell. Rev. Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Ming Yin, Junbin Gao
2022	J	`jnl`	Cross-modal alignment with graph reasoning for image-text retrieval. Multim. Tools Appl. Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin
2022	J	`jnl`	Differentially private Riemannian optimization. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2022	J	`jnl`	Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. Yanfeng Sun, Xiangheng Jiang, Yongli Hu, Fuqing Duan, Kan Guo, Boyue Wang, Junbin Gao, Baocai Yin
2022	J	`jnl`	Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation. IEEE Trans. Intell. Transp. Syst. Kan Guo, Yongli Hu, Zhen Sean Qian, Yanfeng Sun, Junbin Gao, Baocai Yin
2022	J	`jnl`	Embedding Graphs on Grassmann Manifold. CoRR Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
2022	J	`jnl`	Embedding graphs on Grassmann manifold. Neural Networks Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
2022	J	`jnl`	Generalized Laplacian Regularized Framelet GCNs. CoRR Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao
2022	J	`jnl`	Generalized energy and gradient flow via graph framelets. CoRR Andi Han, Dai Shi, Zhiqi Shao, Junbin Gao
2022	A	`conf`	Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. WSDM Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao
2022	J	`jnl`	Graph Contrastive Learning with Implicit Augmentations. CoRR Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
2022	J	`jnl`	Graph Neural Network for Local Corruption Recovery. CoRR Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
2022	B	`conf`	Hierarchical Multiple Granularity Attention Network for Long Document Classification. IJCNN Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin
2022	Misc	`conf`	How Neural Processes Improve Graph Link Prediction. ICASSP Huidong Liang, Junbin Gao
2022	J	`jnl`	Improved Variance Reduction Methods for Riemannian Non-Convex Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Andi Han, Junbin Gao
2022	—	`conf`	Kernel Matrix-based Spd Representation For Graph Learning. SSCI Ye Xiao, Junbin Gao
2022	J	`jnl`	Low-rank and sparse representation based learning for cancer survivability prediction. Inf. Sci. Jie Yang, Jun Ma, Khin Than Win, Junbin Gao, Zhenyu Yang
2022	J	`jnl`	Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization. IEEE Trans. Image Process. Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2022	J	`jnl`	Neighborhood linear discriminant analysis. Pattern Recognit. Fa Zhu, Junbin Gao, Jian Yang, Ning Ye
2022	—	`conf`	OTExtSum: Extractive Text Summarisation with Optimal Transport. NAACL-HLT (Findings) Peggy Tang, Kun Hu, Rui Yan, Lei Zhang, Junbin Gao, Zhiyong Wang
2022	J	`jnl`	OTExtSum: Extractive Text Summarisation with Optimal Transport. CoRR Peggy Tang, Kun Hu, Rui Yan, Lei Zhang, Junbin Gao, Zhiyong Wang
2022	J	`jnl`	Probabilistic Linear Discriminant Analysis Based on L IEEE Trans. Cybern. Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju, Baocai Yin
2022	J	`jnl`	Quasi-Framelets: Another Improvement to GraphNeural Networks. CoRR Mengxi Yang, Xuebin Zheng, Jie Yin, Junbin Gao
2022	J	`jnl`	Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2022	J	`jnl`	Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
2022	J	`jnl`	Riemannian accelerated gradient methods via extrapolation. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2022	—	`conf`	Robust Denoising in Graph Neural Networks. SSCI Siying Zhang, Andi Han, Junbin Gao
2022	B	`conf`	Robust Graph Convolutional Clustering With Adaptive Graph Learning. IJCNN Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin
2022	J	`jnl`	SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP. CoRR Jie Chen, Shouzhen Chen, Mingyuan Bai, Junbin Gao, Junping Zhang, Jian Pu
2022	J	`jnl`	Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering. J. Vis. Commun. Image Represent. Yongli Hu, Cuicui Luo, Junbin Gao, Boyue Wang, Yanfeng Sun, Baocai Yin
2022	B	`conf`	Tensor Neural Controlled Differential Equations. IJCNN Mingyuan Bai, Jie Chen, Qibin Zhao, Chao Li, Junping Zhang, Junbin Gao
2022	J	`jnl`	Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing. CoRR Jie Chen, Weiqi Liu, Zhizhong Huang, Junbin Gao, Junping Zhang, Jian Pu
2022	J	`jnl`	Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds. Inf. Sci. Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2021	J	`jnl`	A Discussion On the Validity of Manifold Learning. CoRR Dai Shi, Andi Han, Yi Guo, Junbin Gao
2021	J	`jnl`	AKM IEEE Trans. Circuits Syst. Video Technol. Yongli Hu, Zuolong Song, Boyue Wang, Junbin Gao, Yanfeng Sun, Baocai Yin
2021	J	`jnl`	Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin
2021	—	`conf`	Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval. ICONIP (6) Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin
2021	J	`jnl`	CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering. CoRR Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin
2021	J	`jnl`	Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser. IET Comput. Vis. Yongli Hu, Cuicui Luo, Boyue Wang, Junbin Gao, Yanfeng Sun, Baocai Yin
2021	J	`jnl`	Coupling matrix manifolds assisted optimization for optimal transport problems. Mach. Learn. Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
2021	J	`jnl`	Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. Lin Wu, Yang Wang, Junbin Gao, Meng Wang, Zheng-Jun Zha, Dacheng Tao
2021	J	`jnl`	Differentiable Neural Architecture Search for High-Dimensional Time Series Forecasting. IEEE Access Renlong Jie, Junbin Gao
2021	J	`jnl`	Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures. CoRR Renlong Jie, Junbin Gao
2021	J	`jnl`	Efficient sparse subspace clustering by nearest neighbour filtering. Signal Process. Yi Guo, Stephen Tierney, Junbin Gao
2021	J	`jnl`	Estimating the square root of probability density function on Riemannian manifold. Expert Syst. J. Knowl. Eng. Xia Hong, Junbin Gao
2021	—	`conf`	Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval. ICANN (3) Yongli Hu, Feili Gao, Yanfeng Sun, Junbin Gao, Baocai Yin
2021	B	`conf`	Fuzzy contrastive learning for online behavior analysis. FUZZ-IEEE Jie Yang, Gang Huang, Jun Ma, Sarah K. Howard, Matthew Ciao, Junbin Gao
2021	J	`jnl`	Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification. CoRR Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao
2021	J	`jnl`	Graph Denoising with Framelet Regularizer. CoRR Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao
2021	B	`conf`	Hierarchical Attention Transformer Networks for Long Document Classification. IJCNN Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin
2021	A*	`conf`	Hierarchical Graph Convolution Network for Traffic Forecasting. AAAI Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin
2021	A*	`conf`	How Framelets Enhance Graph Neural Networks. ICML Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar
2021	J	`jnl`	How Framelets Enhance Graph Neural Networks. CoRR Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Liò, Ming Li, Guido Montúfar
2021	J	`jnl`	How Neural Processes Improve Graph Link Prediction. CoRR Huidong Liang, Junbin Gao
2021	J	`jnl`	Kronecker-decomposable robust probabilistic tensor discriminant analysis. Inf. Sci. Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2021	J	`jnl`	LSTM-assisted evolutionary self-expressive subspace clustering. Int. J. Mach. Learn. Cybern. Di Xu, Mingyuan Bai, Tianhang Long, Junbin Gao
2021	J	`jnl`	Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering. IEEE Trans. Multim. Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin
2021	J	`jnl`	Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds. Remote. Sens. Shengjing Tian, Xiuping Liu, Meng Liu, Yuhao Bian, Junbin Gao, Baocai Yin
2021	J	`jnl`	Manifold Optimization-Assisted Gaussian Variational Approximation. J. Comput. Graph. Stat. Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach
2021	J	`jnl`	Minimum unbiased risk estimate based 2DPCA for color image denoising. Neurocomputing Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng
2021	—	`conf`	Multi-Source Domain Adaptation with Sinkhorn Barycenter. EUSIPCO Tatsuya Komatsu, Tomoko Matsui, Junbin Gao
2021	J	`jnl`	Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications. CoRR Mingyuan Bai, S. T. Boris Choy, Junping Zhang, Junbin Gao
2021	A*	`conf`	On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. NeurIPS Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria, Junbin Gao
2021	J	`jnl`	On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
2021	J	`jnl`	Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. Kan Guo, Yongli Hu, Sean Qian, Hao Liu, Ke Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin
2021	A*	`conf`	Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization. IJCAI Andi Han, Junbin Gao
2021	J	`jnl`	Robust Functional Manifold Clustering. IEEE Trans. Neural Networks Learn. Syst. Yi Guo, Stephen Tierney, Junbin Gao
2021	J	`jnl`	Robust Image Representation via Low Rank Locality Preserving Projection. ACM Trans. Knowl. Discov. Data Shuai Yin, Yanfeng Sun, Junbin Gao, Yongli Hu, Boyue Wang, Baocai Yin
2021	J	`jnl`	Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network. IEEE Trans. Medical Imaging Boyan Zhang, Zhiyong Wang, Junbin Gao, Chantal Rutjes, Kaitlin Nufer, Dacheng Tao, David Dagan Feng, Scott W. Menzies
2021	B	`conf`	Stock Movement Prediction on Ex-Dividend Day Using Event Specific Features and Machine Learning Techniques. IJCNN Suman Saha, Junbin Gao, Richard Gerlach
2021	J	`jnl`	Stock Ranking Prediction Using List-Wise Approach and Node Embedding Technique. IEEE Access Suman Saha, Junbin Gao, Richard Gerlach
2021	B	`conf`	Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. IJCNN Mingyuan Bai, Qibin Zhao, Junbin Gao
2021	J	`jnl`	Wasserstein Adversarially Regularized Graph Autoencoder. CoRR Huidong Liang, Junbin Gao
2020	J	`jnl`	A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting. CoRR Zhengkun Li, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Junbin Gao
2020	B	`conf`	A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint. ICPR Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin
2020	J	`jnl`	ADAMT: A Stochastic Optimization with Trend Correction Scheme. CoRR Bingxin Zhou, Xuebin Zheng, Junbin Gao
2020	J	`jnl`	Adaptive Multi-level Hyper-gradient Descent. CoRR Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran
2020	J	`jnl`	CSD: Discriminance with Conic Section for Improving Reverse k Nearest Neighbors Queries. CoRR Yang Li, Gang Liu, Mingyuan Bai, Junbin Gao, Lixin Ye, Zi Ming
2020	B	`conf`	Cluster Developing 1-Bit Matrix Completion. IJCNN Chengkun Zhang, Junbin Gao, Steven Lu
2020	J	`jnl`	Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient. CoRR Andi Han, Junbin Gao
2020	J	`jnl`	Fine-Grained Age Estimation With Multi-Attention Network. IEEE Access Chunlong Hu, Junbin Gao, Jianjun Chen, Dengbiao Jiang, Yucheng Shu
2020	J	`jnl`	Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. CoRR Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
2020	A*	`conf`	Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding. IJCAI Chengkun Zhang, Junbin Gao
2020	J	`jnl`	HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints. IEEE Access Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran
2020	A	`conf`	Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation. ICME Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin, Wenwu Zhu, Ge Li
2020	J	`jnl`	Locality preserving projection based on Euler representation. J. Vis. Commun. Image Represent. Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2020	B	`conf`	Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. ICPR Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2020	J	`jnl`	Matrix-variate variational auto-encoder with applications to image process. J. Vis. Commun. Image Represent. Jinghua Li, Huixia Yan, Junbin Gao, Dehui Kong, Lichun Wang, Shaofan Wang, Baocai Yin
2020	B	`conf`	Nonlinear Logistic Regression Model Based On Simplex Basis Function. IJCNN Xia Hong, Hong Wei, Junbin Gao
2020	B	`conf`	On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. IJCNN Bingxin Zhou, Xuebin Zheng, Junbin Gao
2020	B	`conf`	Regularized Flexible Activation Function Combination for Deep Neural Networks. ICPR Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran
2020	J	`jnl`	Regularized Flexible Activation Function Combinations for Deep Neural Networks. CoRR Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran
2020	—	`conf`	Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. ACCV (5) Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin
2020	J	`jnl`	Riemannian stochastic recursive momentum method for non-convex optimization. CoRR Andi Han, Junbin Gao
2020	J	`jnl`	Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint. ACM Trans. Knowl. Discov. Data Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2020	J	`jnl`	Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. J. Frankl. Inst. Xia Hong, Junbin Gao, Sheng Chen
2020	A*	`conf`	Shared Generative Latent Representation Learning for Multi-View Clustering. AAAI Ming Yin, Weitian Huang, Junbin Gao
2020	J	`jnl`	Variance reduction for Riemannian non-convex optimization with batch size adaptation. CoRR Andi Han, Junbin Gao
2020	B	`conf`	Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network. ICPR Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2019	J	`jnl`	A hybrid algorithm for low-rank approximation of nonnegative matrix factorization. Neurocomputing Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich, Beihai Tan
2019	J	`jnl`	Boosting sensitivity of a retinal vessel segmentation algorithm. Pattern Anal. Appl. Mohammad A. U. Khan, Tariq Mahmood Khan, Toufique Ahmed Soomro, Nighat Mir, Junbin Gao
2019	J	`jnl`	Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection. Neural Networks Meilu Zhu, Daming Shi, Junbin Gao
2019	J	`jnl`	Cluster Developing 1-Bit Matrix Completion. CoRR Chengkun Zhang, Junbin Gao, Stephen Lu
2019	J	`jnl`	Coupled-learning convolutional neural networks for object recognition. Multim. Tools Appl. Chunyan Xu, Jian Yang, Junbin Gao
2019	J	`jnl`	Coupling Matrix Manifolds and Their Applications in Optimal Transport. CoRR Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
2019	C	`conf`	DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets. ADMA Darren Yates, Md Zahidul Islam, Junbin Gao
2019	J	`jnl`	DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets. CoRR Darren Yates, Md Zahidul Islam, Junbin Gao
2019	J	`jnl`	Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition. IEEE Trans. Cybern. Lin Wu, Yang Wang, Xue Li, Junbin Gao
2019	J	`jnl`	Deep Learning Models for Retinal Blood Vessels Segmentation: A Review. IEEE Access Toufique Ahmed Soomro, Ahmed J. Afifi, Lihong Zheng, Shafiullah Soomro, Junbin Gao, Olaf Hellwich, Manoranjan Paul
2019	A*	`conf`	Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering. CVPR Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2019	J	`jnl`	Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams. CoRR Yang Li, Gang Liu, Junbin Gao, Zhenwen He, Mingyuan Bai, Chengjun Li
2019	J	`jnl`	Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. Remote. Sens. Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai
2019	J	`jnl`	Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation. IEEE Access Toufique Ahmed Soomro, Ahmed J. Afifi, Ahmed Ali, Shafiullah Soomro, Gulsher Baloch, Lihong Zheng, Ming Yin, Junbin Gao
2019	J	`jnl`	LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering. CoRR Di Xu, Tianhang Long, Junbin Gao
2019	J	`jnl`	Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote. Sens. Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai
2019	B	`conf`	Locality Preserving Projection via Deep Neural Network. IJCNN Tianhang Long, Junbin Gao, Mingyan Yang, Yongli Hu, Baocai Yin
2019	J	`jnl`	Manifold Optimisation Assisted Gaussian Variational Approximation. CoRR Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach
2019	J	`jnl`	Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning. ACM Trans. Knowl. Discov. Data Haoran Chen, Jinghua Li, Junbin Gao, Yanfeng Sun, Yongli Hu, Baocai Yin
2019	J	`jnl`	Multiview Subspace Clustering via Tensorial t-Product Representation. IEEE Trans. Neural Networks Learn. Syst. Ming Yin, Junbin Gao, Shengli Xie, Yi Guo
2019	J	`jnl`	Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder. IEEE Access Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2019	J	`jnl`	Parametric Classification of Bingham Distributions Based on Grassmann Manifolds. IEEE Trans. Image Process. Muhammad Ali, Junbin Gao, Michael Antolovich
2019	J	`jnl`	Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data. IEEE Trans. Neural Networks Learn. Syst. Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2019	J	`jnl`	Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations. IEEE Trans. Neural Networks Learn. Syst. Hengmin Zhang, Jianjun Qian, Junbin Gao, Jian Yang, Chunyan Xu
2019	J	`jnl`	Shared Generative Latent Representation Learning for Multi-view Clustering. CoRR Ming Yin, Weitian Huang, Junbin Gao
2019	J	`jnl`	Solving Partial Least Squares Regression via Manifold Optimization Approaches. IEEE Trans. Neural Networks Learn. Syst. Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2019	—	`conf`	Sparse Least Squares Low Rank Kernel Machines. ICONIP (2) Di Xu, Manjing Fang, Xia Hong, Junbin Gao
2019	J	`jnl`	Sparse Least Squares Low Rank Kernel Machines. CoRR Manjing Fang, Di Xu, Xia Hong, Junbin Gao
2019	J	`jnl`	Spatial-temporal dynamic hand gesture recognition via hybrid deep learning model. J. Multimodal User Interfaces Jinghua Li, Huarui Huai, Junbin Gao, Dehui Kong, Lichun Wang
2019	J	`jnl`	Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation. Expert Syst. Appl. Toufique Ahmed Soomro, Ahmed J. Afifi, Junbin Gao, Olaf Hellwich, Lihong Zheng, Manoranjan Paul
2019	—	`conf`	Tensor-Train Parameterization for Ultra Dimensionality Reduction. ICBK Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao
2019	J	`jnl`	Tensor-Train Parameterization for Ultra Dimensionality Reduction. CoRR Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao
2019	J	`jnl`	Tensorizing Restricted Boltzmann Machine. ACM Trans. Knowl. Discov. Data Fujiao Ju, Yanfeng Sun, Junbin Gao, Michael Antolovich, Jun-Liang Dong, Baocai Yin
2019	J	`jnl`	UP-CNN: Un-pooling augmented convolutional neural network. Pattern Recognit. Lett. Chunyan Xu, Jian Yang, Hanjiang Lai, Junbin Gao, Linlin Shen, Shuicheng Yan
2019	J	`jnl`	Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification. IEEE Trans. Multim. Lin Wu, Yang Wang, Junbin Gao, Xue Li
2018	J	`jnl`	A Review for Weighted MinHash Algorithms. CoRR Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
2018	—	`conf`	Branched Convolutional Neural Networks for Face Alignment. PCM (3) Meilu Zhu, Daming Shi, Songkui Chen, Junbin Gao
2018	A*	`conf`	Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. IJCAI Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2018	J	`jnl`	Classification of matrix-variate Fisher-Bingham distribution via Maximum Likelihood Estimation using manifold valued data. Neurocomputing Muhammad Ali, Junbin Gao
2018	B	`conf`	Cyclone Track Prediction with Matrix Neural Networks. IJCNN Yanfei Zhang, Rohitash Chandra, Junbin Gao
2018	J	`jnl`	Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification. CoRR Lin Wu, Yang Wang, Junbin Gao, Dacheng Tao
2018	J	`jnl`	Deep adaptive feature embedding with local sample distributions for person re-identification. Pattern Recognit. Lin Wu, Yang Wang, Junbin Gao, Xue Li
2018	J	`jnl`	Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning. Neurocomputing Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2018	B	`conf`	Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong
2018	Misc	`conf`	Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition. DICTA Gengxing Wang, Wenxiong Kang, Qiuxia Wu, Zhiyong Wang, Junbin Gao
2018	J	`jnl`	Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation. IEEE Access Toufique Ahmed Soomro, Tariq Mahmood Khan, Mohammad A. U. Khan, Junbin Gao, Manoranjan Paul, Lihong Zheng
2018	Misc	`conf`	Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones. AusDM Darren Yates, Md Zahidul Islam, Junbin Gao
2018	A*	`conf`	Locality Preserving Projection Based on F-norm. AAAI Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2018	J	`jnl`	Localized LRR on Grassmann Manifold: An Extrinsic View. IEEE Trans. Circuits Syst. Video Technol. Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2018	J	`jnl`	Locally adaptive sparse representation on Riemannian manifolds for robust classification. Neurocomputing Ming Yin, Zongze Wu, Daming Shi, Junbin Gao, Shengli Xie
2018	J	`jnl`	Low Rank Representation on SPD matrices with Log-Euclidean metric. Pattern Recognit. Boyue Wang, Yongli Hu, Junbin Gao, Muhammad Ali, David Tien, Yanfeng Sun, Baocai Yin
2018	J	`jnl`	Low-rank structure preserving for unsupervised feature selection. Neurocomputing Wei Zheng, Chunyan Xu, Jian Yang, Junbin Gao, Fa Zhu
2018	—	`conf`	Malware Detection for Healthcare Data Security. SecureComm (2) Mozammel Chowdhury, Sharmin Jahan, Rafiqul Islam, Junbin Gao
2018	J	`jnl`	Multi-Dimensional Sparse Models. IEEE Trans. Pattern Anal. Mach. Intell. Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, Baocai Yin, Junbin Gao
2018	J	`jnl`	Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Yang Wang, Lin Wu, Xuemin Lin, Junbin Gao
2018	J	`jnl`	On Selecting Effective Patterns for Fast Support Vector Regression Training. IEEE Trans. Neural Networks Learn. Syst. Fa Zhu, Junbin Gao, Chunyan Xu, Jian Yang, Dacheng Tao
2018	J	`jnl`	Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds. ACM Trans. Knowl. Discov. Data Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2018	J	`jnl`	Progressive Hard-Mining Network for Monocular Depth Estimation. IEEE Trans. Image Process. Zhenyu Zhang, Chunyan Xu, Jian Yang, Junbin Gao, Zhen Cui
2018	Misc	`conf`	Retinal Blood Vessels Extraction of Challenging Images. AusDM Toufique Ahmed Soomro, Junbin Gao, Lihong Zheng, Ahmed J. Afifi, Shafiullah Soomro, Manoranjan Paul
2018	J	`jnl`	Robust Multinomial Logistic Regression Based on RPCA. IEEE J. Sel. Top. Signal Process. Ming Yin, Deyu Zeng, Junbin Gao, Zongze Wu, Shengli Xie
2018	Misc	`conf`	SPAARC: A Fast Decision Tree Algorithm. AusDM Darren Yates, Md Zahidul Islam, Junbin Gao
2018	J	`jnl`	SRNN: Self-regularized neural network. Neurocomputing Chunyan Xu, Jian Yang, Junbin Gao, Hanjiang Lai, Shuicheng Yan
2018	—	`conf`	Security and Privacy Protection for eHealth Data. FNSS Sharmin Jahan, Mozammel Chowdhury, Rafiqul Islam, Junbin Gao
2018	—	`conf`	Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu
2018	Misc	`conf`	Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss. DICTA Toufique Ahmed Soomro, Olaf Hellwich, Ahmed J. Afifi, Manoranjan Paul, Junbin Gao, Lihong Zheng
2018	J	`jnl`	Subspace Clustering via Learning an Adaptive Low-Rank Graph. IEEE Trans. Image Process. Ming Yin, Shengli Xie, Zongze Wu, Yun Zhang, Junbin Gao
2018	J	`jnl`	Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. IEEE Trans. Neural Networks Learn. Syst. Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2018	J	`jnl`	What-and-where to match: Deep spatially multiplicative integration networks for person re-identification. Pattern Recognit. Lin Wu, Yang Wang, Xue Li, Junbin Gao
2018	J	`jnl`	Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification. CoRR Lin Wu, Yang Wang, Junbin Gao, Xue Li
2017	J	`jnl`	A Framework of Mixed Sparse Representations for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Feng Li, Lei Xin, Yi Guo, Junbin Gao, Xiuping Jia
2017	—	`conf`	A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation. ICONIP (1) Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich
2017	J	`jnl`	A global-local affinity matrix model via EigenGap for graph-based subspace clustering. Pattern Recognit. Lett. Daming Shi, Jun Wang, Dansong Cheng, Junbin Gao
2017	—	`conf`	Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem. ICONIP (1) Yanfei Zhang, Junbin Gao
2017	J	`jnl`	Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem. CoRR Yanfei Zhang, Junbin Gao
2017	Misc	`conf`	Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network. DICTA Toufique Ahmed Soomro, Ahmed J. Afifi, Junbin Gao, Olaf Hellwich, Mohammad A. U. Khan, Manoranjan Paul, Lihong Zheng
2017	J	`jnl`	Collaborative Low-Rank Subspace Clustering. CoRR Stephen Tierney, Yi Guo, Junbin Gao
2017	J	`jnl`	Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey. Pattern Anal. Appl. Toufique Ahmed Soomro, Junbin Gao, Tariq Mahmood Khan, Ahmad Fadzil M. Hani, Mohammad A. U. Khan, Manoranjan Paul
2017	J	`jnl`	Contrast normalization steps for increased sensitivity of a retinal image segmentation method. Signal Image Video Process. Toufique Ahmed Soomro, Mohammad A. U. Khan, Junbin Gao, Tariq Mahmood Khan, Manoranjan Paul
2017	J	`jnl`	Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification. CoRR Lin Wu, Yang Wang, Junbin Gao, Xue Li
2017	J	`jnl`	Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering. CoRR Stephen Tierney, Yi Guo, Junbin Gao
2017	—	`conf`	Fast and Robust Biometric Authentication Scheme Using Human Ear. ATCS/SePrIoT@SecureComm Mozammel Chowdhury, Rafiqul Islam, Junbin Gao
2017	J	`jnl`	Finding the samples near the decision plane for support vector learning. Inf. Sci. Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Sheng Xu, Cong Gao
2017	A*	`conf`	Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering. CVPR Qiong Wang, Junbin Gao, Hong Li
2017	Misc	`conf`	L1-2DPCA Revisit via Optimization on Product Manifolds. DICTA Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju
2017	J	`jnl`	Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance. IEEE Trans. Circuits Syst. Video Technol. Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2017	A*	`conf`	Locality Preserving Projections for Grassmann manifold. IJCAI Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali, Baocai Yin
2017	J	`jnl`	Locality Preserving Projections for Grassmann manifold. CoRR Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Baocai Yin
2017	J	`jnl`	Localized LRR on Grassmann Manifolds: An Extrinsic View. CoRR Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2017	J	`jnl`	Log-Euclidean Metrics for Contrast Preserving Decolorization. IEEE Trans. Image Process. Qiegen Liu, Guangpu Shao, Yuhao Wang, Junbin Gao, Henry Leung
2017	A*	`conf`	Low-Rank-Sparse Subspace Representation for Robust Regression. CVPR Yongqiang Zhang, Daming Shi, Junbin Gao, Dansong Cheng
2017	—	`conf`	Matrix Neural Networks. ISNN (1) Junbin Gao, Yi Guo, Zhiyong Wang
2017	B	`conf`	Matrix variate RBM model with Gaussian distributions. IJCNN Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin
2017	B	`conf`	Retinal blood vessel extraction method based on basic filtering schemes. ICIP Toufique Ahmed Soomro, Manoranjan Paul, Junbin Gao, Lihong Zheng
2017	J	`jnl`	Robust human detection and localization in security applications. Concurr. Comput. Pract. Exp. Mozammel Chowdhury, Junbin Gao, Rafiqul Islam
2017	J	`jnl`	Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai
2017	—	`conf`	Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis. ICONIP (2) Mingyuan Bai, Boyan Zhang, Junbin Gao
2017	J	`jnl`	Tensorial Recurrent Neural Networks for Longitudinal Data Analysis. CoRR Mingyuan Bai, Boyan Zhang, Junbin Gao
2017	J	`jnl`	Tractable Clustering of Data on the Curve Manifold. CoRR Stephen Tierney, Junbin Gao, Yi Guo, Zheng Zhang
2017	J	`jnl`	Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. CoRR Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2017	J	`jnl`	What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification. CoRR Lin Wu, Yang Wang, Xue Li, Junbin Gao
2017	J	`jnl`	Zero-Attracting Recursive Least Squares Algorithms. IEEE Trans. Veh. Technol. Xia Hong, Junbin Gao, Sheng Chen
2017	J	`jnl`	l1-norm penalised orthogonal forward regression. Int. J. Syst. Sci. Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
2016	—	`conf`	A Fast Algorithm to Estimate the Square Root of Probability Density Function. SGAI Conf. Xia Hong, Junbin Gao
2016	Misc	`conf`	Automatic Retinal Vessel Extraction Algorithm. DICTA Toufique Ahmed Soomro, Mohammad A. U. Khan, Junbin Gao, Tariq Mahmood Khan, Manoranjan Paul, Nighat Mir
2016	Misc	`conf`	Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes. IVCNZ Mohammad A. U. Khan, Toufique Ahmed Soomro, Tariq Mahmood Khan, Donald G. Bailey, Junbin Gao, Nighat Mir
2016	C	`conf`	Biometric Authentication Using Facial Recognition. SecureComm Mozammel Chowdhury, Junbin Gao, Rafiqul Islam
2016	B	`conf`	Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions. IJCNN Muhammad Ali, Junbin Gao, Michael Antolovich
2016	—	`conf`	Detection of Human Faces Using Neural Networks. ICONIP (2) Mozammel Chowdhury, Junbin Gao, Rafiqul Islam
2016	—	`conf`	Distance Measurement of Objects using Stereo Vision. SETN Mozammel Chowdhury, Junbin Gao, Rafiqul Islam
2016	J	`jnl`	Extended nearest neighbor chain induced instance-weights for SVMs. Pattern Recognit. Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu
2016	B	`conf`	Fuzzy logic based filtering for image de-noising. FUZZ-IEEE Mozammel Chowdhury, Junbin Gao, Rafiqul Islam
2016	Misc	`conf`	Fuzzy rule based approach for face and facial feature extraction in biometric authentication. IVCNZ Mozammel Chowdhury, Junbin Gao, Rafiqul Islam
2016	J	`jnl`	Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin
2016	A*	`conf`	Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CVPR Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
2016	J	`jnl`	Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CoRR Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
2016	J	`jnl`	Kernelized LRR on Grassmann Manifolds for Subspace Clustering. CoRR Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2016	J	`jnl`	LRSR: Low-Rank-Sparse representation for subspace clustering. Neurocomputing Jun Wang, Daming Shi, Dansong Cheng, Yongqiang Zhang, Junbin Gao
2016	J	`jnl`	Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance. CoRR Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2016	J	`jnl`	Laplacian Regularized Low-Rank Representation and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. Ming Yin, Junbin Gao, Zhouchen Lin
2016	J	`jnl`	Low-Rank Representation over the Manifold of Curves. CoRR Stephen Tierney, Junbin Gao, Yi Guo, Zhengwu Zhang
2016	J	`jnl`	Low-rank Multi-view Clustering in Third-Order Tensor Space. CoRR Ming Yin, Junbin Gao, Shengli Xie, Yi Guo
2016	Misc	`conf`	MLE-Based Learning on Grassmann Manifolds. DICTA Muhammad Ali, Junbin Gao, Michael Antolovich
2016	B	`conf`	Manifold optimization for nonnegative coefficient logistic regression. IJCNN Xia Hong, Junbin Gao
2016	J	`jnl`	Matrix Neural Networks. CoRR Junbin Gao, Yi Guo, Zhiyong Wang
2016	J	`jnl`	Matrix Variate RBM and Its Applications. CoRR Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li
2016	B	`conf`	Matrix Variate Restricted Boltzmann Machine. IJCNN Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li
2016	A*	`conf`	Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis. CVPR Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin
2016	J	`jnl`	Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis. CoRR Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu
2016	J	`jnl`	Modulus Methods for Nonnegatively Constrained Image Restoration. SIAM J. Imaging Sci. Jun-Liang Dong, Junbin Gao, Fujiao Ju, Jinghua Shen
2016	J	`jnl`	Multi-loss Regularized Deep Neural Network. IEEE Trans. Circuits Syst. Video Technol. Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan
2016	J	`jnl`	Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices. CoRR Ming Yin, Shengli Xie, Yi Guo, Junbin Gao, Yun Zhang
2016	B	`conf`	Neural network based denoised methods for retinal fundus images and MRI brain images. IJCNN Toufique Ahmed Soomro, Junbin Gao
2016	J	`jnl`	Nonparametric tensor dictionary learning with beta process priors. Neurocomputing Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2016	B	`conf`	Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. IJCNN Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang
2016	J	`jnl`	Ordered Subspace Clustering With Block-Diagonal Priors. IEEE Trans. Cybern. Fei Wu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2016	J	`jnl`	Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications. CoRR Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2016	J	`jnl`	Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds. CoRR Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2016	A*	`conf`	Product Grassmann Manifold Representation and Its LRR Models. AAAI Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2016	A*	`conf`	Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization. CVPR Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi
2016	Misc	`conf`	Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy. DICTA Toufique Ahmed Soomro, Junbin Gao, Mohammad A. U. Khan, Tariq Mahmood Khan, Manoranjan Paul
2016	J	`jnl`	Tensor LRR and Sparse Coding-Based Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin, Xia Hong
2015	C	`conf`	Active Class Discovery by Querying Pairwise Label Homogeneity. ICDS Yifan Fu, Junbin Gao, Xingquan Zhu
2015	J	`jnl`	Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models. Circuits Syst. Signal Process. Ming Yin, Junbin Gao, Daming Shi, Shuting Cai
2015	—	`conf`	Conics Detection Method based on Pascal's Theorem. VISAPP (1) Md. Musfequs Salehin, Lihong Zheng, Junbin Gao
2015	J	`jnl`	Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups. IEEE Trans. Circuits Syst. Video Technol. Chunyan Xu, Canyi Lu, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan
2015	J	`jnl`	Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. IEEE Trans. Image Process. Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo
2015	J	`jnl`	Facial Analysis With a Lie Group Kernel. IEEE Trans. Circuits Syst. Video Technol. Chunyan Xu, Canyi Lu, Junbin Gao, Tianjiang Wang, Shuicheng Yan
2015	J	`jnl`	Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation. CoRR Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu
2015	J	`jnl`	Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. CoRR Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin
2015	C	`conf`	Human Surveillance System for Security Application. SecureComm Mozammel Chowdhury, Junbin Gao, Rafiqul Islam
2015	J	`jnl`	Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA. IEEE Trans. Image Process. Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
2015	C	`conf`	Image Spam Classification Using Neural Network. SecureComm Mozammel Chowdhury, Junbin Gao, Morshed U. Chowdhury
2015	J	`jnl`	Image super-resolution via 2D tensor regression learning. Comput. Vis. Image Underst. Ming Yin, Junbin Gao, Shuting Cai
2015	J	`jnl`	Kernelized Low Rank Representation on Grassmann Manifolds. CoRR Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2015	A*	`conf`	Learning graph structure for multi-label image classification via clique generation. CVPR Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang
2015	J	`jnl`	Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective. CoRR Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2015	J	`jnl`	Low Rank Representation on Riemannian Manifold of Square Root Densities. CoRR Yifan Fu, Junbin Gao, Xia Hong, David Tien
2015	A	`conf`	Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. SDM Yifan Fu, Junbin Gao, Xia Hong, David Tien
2015	B	`conf`	Low rank sequential subspace clustering. IJCNN Yi Guo, Junbin Gao, Feng Li, Stephen Tierney, Ming Yin
2015	J	`jnl`	Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. IEEE Trans. Cybern. Xia Hong, Sheng Chen, Junbin Gao, Chris J. Harris
2015	J	`jnl`	Random spatial subspace clustering. Knowl. Based Syst. Yi Guo, Junbin Gao, Feng Li
2015	J	`jnl`	Relations Among Some Low-Rank Subspace Recovery Models. Neural Comput. Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao
2015	J	`jnl`	Relevance units machine based dimensional and continuous speech emotion prediction. Multim. Tools Appl. Fengna Wang, Hichem Sahli, Junbin Gao, Dongmei Jiang, Werner Verhelst
2015	J	`jnl`	Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient. CoRR Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi
2015	J	`jnl`	Segmentation of Subspaces in Sequential Data. CoRR Stephen Tierney, Yi Guo, Junbin Gao
2015	Misc	`conf`	Selective Multi-Source Total Variation Image Restoration. DICTA Stephen Tierney, Yi Guo, Junbin Gao
2015	J	`jnl`	Sparse Density Estimation on the Multinomial Manifold. IEEE Trans. Neural Networks Learn. Syst. Xia Hong, Junbin Gao, Sheng Chen, Tanveer A. Zia
2015	B	`conf`	Sparse density estimation on multinomial manifold combining local component analysis. IJCNN Xia Hong, Junbin Gao
2015	C	`conf`	Study of the Noise Level in the Colour Fundus Images. ICDS Toufique Ahmed Soomro, Junbin Gao
2015	J	`jnl`	l1-norm Penalized Orthogonal Forward Regression. CoRR Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
2014	J	`jnl`	A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization. Appl. Comput. Intell. Soft Comput. Lizhi Cui, Zhihao Ling, Josiah Poon, Simon K. Poon, Junbin Gao, Paul Wing Hing Kwan
2014	Misc	`conf`	Affinity Pansharpening and Image Fusion. DICTA Stephen Tierney, Junbin Gao, Yi Guo
2014	J	`jnl`	An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. IEEE Trans. Neural Networks Learn. Syst. Chunyan Xu, Tianjiang Wang, Junbin Gao, Shougang Cao, Wenbing Tao, Fang Liu
2014	J	`jnl`	An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm. BMC Bioinform. Lizhi Cui, Josiah Poon, Simon K. Poon, Hao Chen, Junbin Gao, Paul Wing Hing Kwan, Kei Fan, Zhihao Ling
2014	J	`jnl`	Blind image deblurring via coupled sparse representation. J. Vis. Commun. Image Represent. Ming Yin, Junbin Gao, David Tien, Shuting Cai
2014	Misc	`conf`	Blocky artifact removal with low-rank matrix recovery. ICASSP Ming Yin, Junbin Gao, Yanfeng Sun, Shuting Cai
2014	J	`jnl`	Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. IEEE Trans. Neural Networks Learn. Syst. Sheng Chen, Xia Hong, Junbin Gao, Chris J. Harris
2014	J	`jnl`	Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling. Sensors Xinglin Piao, Yongli Hu, Yanfeng Sun, Baocai Yin, Junbin Gao
2014	—	`conf`	Delineation of Rock Fragments by Classification of Image Patches using Compressed Random Features. VISAPP (1) Geoff Bull, Junbin Gao, Michael Antolovich
2014	B	`conf`	Dimensionality reduction assisted tensor clustering. IJCNN Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris
2014	J	`jnl`	Fast identification algorithms for Gaussian process model. Neurocomputing Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris
2014	B	`conf`	Fuzzy c-means clustering with a new regularization term for image segmentation. IJCNN Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang
2014	—	`conf`	Gaussian Processes Autoencoder for Dimensionality Reduction. PAKDD (2) Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai
2014	J	`jnl`	Group subset selection for linear regression. Comput. Stat. Data Anal. Yi Guo, Mark Berman, Junbin Gao
2014	Misc	`conf`	Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. DICTA Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang
2014	Misc	`conf`	Image Segmentation Using Dictionary Learning and Compressed Random Features. DICTA Geoff Bull, Junbin Gao, Michael Antolovich
2014	B	`conf`	Joint multiple dictionary learning for Tensor sparse coding. IJCNN Yifan Fu, Junbin Gao, Yanfeng Sun, Xia Hong
2014	B	`conf`	Linear Subspace Learning via sparse dimension reduction. IJCNN Ming Yin, Yi Guo, Junbin Gao
2014	J	`jnl`	Linear time Principal Component Pursuit and its extensions using ℓ Neurocomputing Risheng Liu, Zhouchen Lin, Zhixun Su, Junbin Gao
2014	—	`conf`	Low Rank Representation on Grassmann Manifolds. ACCV (1) Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
2014	J	`jnl`	Relations among Some Low Rank Subspace Recovery Models. CoRR Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao
2014	J	`jnl`	Robust latent low rank representation for subspace clustering. Neurocomputing Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao
2014	—	`conf`	Rock Fragment Boundary Detection Using Compressed Random Features. VISIGRAPP (Selected Papers) Geoff Bull, Junbin Gao, Michael Antolovich
2014	—	`conf`	Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization. BIBM Lizhi Cui, Josiah Poon, Simon K. Poon, Paul Wing Hing Kwan, Junbin Gao, Zhihao Ling
2014	B	`conf`	Smoothing Security Prices. ICPR Adrian Letchford, Junbin Gao, Lihong Zheng
2014	A*	`conf`	Subspace Clustering for Sequential Data. CVPR Stephen Tierney, Junbin Gao, Yi Guo
2014	J	`jnl`	TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. IEEE Trans. Cybern. Xinwei Jiang, Junbin Gao, Tianjiang Wang, Daming Shi
2014	B	`conf`	Tensor LRR based subspace clustering. IJCNN Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin
2014	A*	`conf`	Tensor Regression Based on Linked Multiway Parameter Analysis. ICDM Yifan Fu, Junbin Gao, Xia Hong, David Tien
2014	Misc	`conf`	The W-Penalty and Its Application to Alpha Matting with Sparse Labels. DICTA Stephen Tierney, Junbin Gao, Yi Guo
2014	J	`jnl`	Transfer dimensionality reduction by Gaussian process in parallel. Knowl. Inf. Syst. Bin Tong, Junbin Gao, Thach Huy Nguyen, Hao Shao, Einoshin Suzuki
2013	—	`conf`	Dimensionality Reduction with Dimension Selection. PAKDD (1) Yi Guo, Junbin Gao, Feng Li
2013	—	`conf`	Endmember Extraction by Exemplar Finder. ADMA (2) Yi Guo, Junbin Gao, Yanfeng Sun
2013	J	`jnl`	Filtering financial time series by least squares. Int. J. Mach. Learn. Cybern. Adrian Letchford, Junbin Gao, Lihong Zheng
2013	Misc	`conf`	Image Matting for Sparse User Input by Iterative Refinement. DICTA Stephen Tierney, Geoff Bull, Junbin Gao
2013	C	`conf`	Large scale hyperspectral data segmentation by random spatial subspace clustering. IGARSS Yi Guo, Junbin Gao, Feng Li
2013	J	`jnl`	On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning. Neural Networks Dansong Cheng, Minh Nhut Nguyen, Junbin Gao, Daming Shi
2013	—	`conf`	Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm. BIBM Lizhi Cui, Josiah Poon, Simon K. Poon, Kei Fan, Hao Chen, Junbin Gao, Paul Wing Hing Kwan, Zhihao Ling
2013	J	`jnl`	Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing Xia Hong, Junbin Gao, Sheng Chen, Chris J. Harris
2013	B	`conf`	Restricted Boltzmann machine approach to couple dictionary training for image super-resolution. ICIP Junbin Gao, Yi Guo, Ming Yin
2013	B	`conf`	Robust face recognition via double low-rank matrix recovery for feature extraction. ICIP Ming Yin, Shuting Cai, Junbin Gao
2013	—	`conf`	Sparse model construction using coordinate descent optimization. DSP Xia Hong, Yi Guo, Sheng Chen, Junbin Gao
2013	J	`jnl`	UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection. IEEE Trans. Image Process. Daming Shi, Junbin Gao, Payam S. Rahmdel, Michael Antolovich, Tony Clark
2012	Misc	`conf`	3D motion estimation for 3D video coding. ICASSP Manoranjan Paul, Junbin Gao, Michael Antolovich
2012	B	`conf`	CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection. IJCNN Md. Geaur Rahman, Md Zahidul Islam, Terry Bossomaier, Junbin Gao
2012	—	`conf`	Constrained Grouped Sparsity. Australasian Conference on Artificial Intelligence Yi Guo, Junbin Gao, Xia Hong
2012	J	`jnl`	Dimensionality reduction via compressive sensing. Pattern Recognit. Lett. Junbin Gao, Qinfeng Shi, Tibério S. Caetano
2012	Misc	`conf`	Natural Image Matting with Total Variation Regularisation. DICTA Stephen Tierney, Junbin Gao
2012	B	`conf`	Optimizing the moving average. IJCNN Adrian Letchford, Junbin Gao, Lihong Zheng
2012	J	`jnl`	Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Trans. Syst. Man Cybern. Part B Xinwei Jiang, Junbin Gao, Tianjiang Wang, Lihong Zheng
2012	A	`conf`	The Image Matting Method with Regularized Matte. ICME Junbin Gao, Manoranjan Paul, Jun Liu
2012	B	`conf`	Thin Plate Spline Latent Variable Models for dimensionality reduction. IJCNN Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang
2012	Misc	`conf`	Transposed Low Rank Representation for Image Classification. DICTA Geoff Bull, Junbin Gao
2011	J	`jnl`	A novel approach in discovering significant interactions from TCM patient prescription data. Int. J. Data Min. Bioinform. Simon K. Poon, Josiah Poon, Martin McGrane, Xuezhong Zhou, Paul Wing Hing Kwan, Runsun Zhang, Baoyan Liu, Junbin Gao, Clement Loy, Kelvin Chan, Daniel Man-yuen Sze
2011	—	`conf`	Analysis of herbal formulation in TCM: Infertility as a case study. BIBM Workshops Simon K. Poon, Kei Fan, Josiah Poon, Clement Loy, Kelvin Chan, Paul Wing Hing Kwan, Xuezhong Zhou, Junbin Gao, Runsun Zhang, Yinghui Runshun, Daniel Man-yuen Sze
2011	—	`conf`	Application of Learning from Demonstration to a Mining Tunnel Inspection Robot. RVSP Fenglu Ge, Wayne Moore, Michael Antolovich, Junbin Gao
2011	Misc	`conf`	Classification of Hand-Written Digits Using Chordiograms. DICTA Geoff Bull, Junbin Gao
2011	J	`jnl`	Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives. Int. J. Pattern Recognit. Artif. Intell. Paul Wing Hing Kwan, Keisuke Kameyama, Junbin Gao, Kazuo Toraichi
2011	A	`conf`	Gaussian Process for Dimensionality Reduction in Transfer Learning. SDM Bin Tong, Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki
2011	Misc	`conf`	Image Matting via Local Tangent Space Alignment. DICTA Junbin Gao
2011	—	`conf`	Local Feature Based Tensor Kernel for Image Manifold Learning. PAKDD (2) Yi Guo, Junbin Gao
2011	B	`conf`	Multi-task beta process sparse kernel machines. IJCNN Junbin Gao
2011	—	`conf`	Penalized Least Squares for Smoothing Financial Time Series. Australasian Conference on Artificial Intelligence Adrian Letchford, Junbin Gao, Lihong Zheng
2010	J	`jnl`	A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback. Int. J. Pattern Recognit. Artif. Intell. Paul Wing Hing Kwan, Junbin Gao, Yi Guo, Keisuke Kameyama
2010	—	`conf`	Analysis of synergistic and antagonistic effects of TCM: Cases on diabetes and insomnia. BIBM Workshops Martin McGrane, Simon K. Poon, Josiah Poon, Kelvin Chan, Clement Loy, Xuezhong Zhou, Runshun Zhang, Baoyan Liu, Paul Kwan, Daniel Man-yuen Sze, Junbin Gao
2010	—	`conf`	Dimensionality Reduction for Classification through Visualisation Using L1SNE. Australasian Conference on Artificial Intelligence Lennon V. Cook, Junbin Gao
2010	C	`conf`	Efficient character segmentation on car license plates. ICARCV Lihong Zheng, Junbin Gao, Xiangjian He
2010	—	`conf`	Learning Gradients with Gaussian Processes. PAKDD (2) Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan
2010	J	`jnl`	Relevance units latent variable model and nonlinear dimensionality reduction. IEEE Trans. Neural Networks Junbin Gao, Jun Zhang, David Tien
2010	J	`jnl`	Sparse kernel learning with LASSO and Bayesian inference algorithm. Neural Networks Junbin Gao, Paul Wing Hing Kwan, Daming Shi
2010	—	`conf`	Studying herb-herb interaction for insomnia through the theory of complementarities. BIBM Workshops Josiah Poon, Simon K. Poon, Dawei Yin, Kelvin Chan, Clement Loy, Xuezhong Zhou, Runshun Zhang, Baoyan Liu, Paul Kwan, Daniel Man-yuen Sze, Junbin Gao
2009	—	`conf`	A User-Centered Framework for Adaptive Fingerprint Identification. PAISI Paul Wing Hing Kwan, Junbin Gao, Graham Leedham
2009	J	`jnl`	Comprehensive Analysis for the Local Fisher Discriminant Analysis. Int. J. Pattern Recognit. Artif. Intell. Junbin Gao, Paul Wing Hing Kwan, Xiaodi Huang
2009	—	`conf`	Initiation of Evolutionary Algorithms. GEM Adrian O'Connor, Junbin Gao, John Louis
2009	—	`conf`	Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data. Australasian Conference on Artificial Intelligence Yi Guo, Junbin Gao, Paul Wing Hing Kwan
2009	J	`jnl`	Robust multivariate L1 principal component analysis and dimensionality reduction. Neurocomputing Junbin Gao, Paul Wing Hing Kwan, Yi Guo
2009	B	`conf`	Sparse Kernel Learning and the Relevance Units Machine. PAKDD Junbin Gao, Jun Zhang
2009	—	`conf`	Termination Criteria for Evolutionary Algorithms. GEM Adrian O'Connor, Junbin Gao, John Louis
2008	—	`conf`	L1 LASSO Modeling and Its Bayesian Inference. Australasian Conference on Artificial Intelligence Junbin Gao, Michael Antolovich, Paul Wing Hing Kwan
2008	A	`conf`	Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. ICME Richard Yi Da Xu, Junbin Gao, Michael Antolovich
2008	J	`jnl`	Robust L1 Principal Component Analysis and Its Bayesian Variational Inference. Neural Comput. Junbin Gao
2008	J	`jnl`	Twin Kernel Embedding. IEEE Trans. Pattern Anal. Mach. Intell. Yi Guo, Junbin Gao, Paul Wing Hing Kwan
2008	—	`conf`	Using a Stochastic Funnel to find NLR Starting Values. GEM Adrian O'Connor, Junbin Gao, John Louis
2007	—	`conf`	A Discriminant Analysis for Undersampled Data. AIDM Matthew Robards, Junbin Gao, Philip Charlton
2007	J	`jnl`	A new algorithm for removing node overlapping in graph visualization. Inf. Sci. Xiaodi Huang, Wei Lai, A. S. M. Sajeev, Junbin Gao
2007	—	`ed.`	Integrating Artificial Intelligence and Data Mining - Proceedings of the 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), Gold Coast, Queensland, Australia, December 2007. Proceedings AIDM Kok-Leong Ong, Wenyuan Li, Junbin Gao
2007	C	`conf`	Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints. ADMA Yi Guo, Paul Wing Hing Kwan, Junbin Gao
2007	—	`conf`	Mixture of the Robust L1 Distributions and Its Applications. Australian Conference on Artificial Intelligence Junbin Gao, Richard Y. D. Xu
2007	J	`jnl`	Significant vector learning to construct sparse kernel regression models. Neural Networks Junbin Gao, Daming Shi, Xiaomao Liu
2007	J	`jnl`	Simulated maximum likelihood method for estimating kinetic rates in gene expression. Bioinform. Tianhai Tian, Songlin Xu, Junbin Gao, Kevin Burrage
2007	—	`conf`	The Kernelized Geometrical Bisection Methods. ISNN (2) Xiaomao Liu, Shujuan Cao, Junbin Gao, Jun Zhang
2007	—	`conf`	Twin Kernel Embedding with Back Constraints. ICDM Workshops Yi Guo, Paul Wing Hing Kwan, Junbin Gao
2007	—	`conf`	Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data. Australian Conference on Artificial Intelligence Yi Guo, Junbin Gao, Paul Wing Hing Kwan
2006	Misc	`conf`	A multi-step strategy for approximate similarity search in image databases. ADC Paul Wing Hing Kwan, Junbin Gao
2006	—	`conf`	Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data. Australian Conference on Artificial Intelligence Yi Guo, Junbin Gao, Paul Wing Hing Kwan
2006	B	`conf`	Manifolds of Bag of Pixels: A Better Representation for Image Recognition. SMC Yi Guo, Junbin Gao
2006	J	`jnl`	The construction of wavelet network for speech signal processing. Neural Comput. Appl. Daming Shi, Fei Chen, Geok See Ng, Junbin Gao
2005	C	`conf`	E-procurement assimilation: an assessment of e-business capabilities and supplier readiness in the Australian public sector. ICEC Kishor Vaidya, A. S. M. Sajeev, Junbin Gao
2005	J	`jnl`	Sensitivity analysis applied to the construction of radial basis function networks. Neural Networks Daming Shi, Daniel S. Yeung, Junbin Gao
2004	—	`conf`	Critical Vector Learning to Construct RBF Classifiers. ICPR (3) Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung
2004	—	`conf`	On the construction of support wavelet network. SMC (4) Junbin Gao, Fei Chen, Daming Shi
2004	—	`conf`	Radial Basis Function Network Pruning by Sensitivity Analysis. Canadian AI Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen
2003	J	`jnl`	Mean field method for the support vector machine regression. Neurocomputing Junbin Gao, Steve R. Gunn, Chris J. Harris
2003	J	`jnl`	SVM regression through variational methods and its sequential implementation. Neurocomputing Junbin Gao, Steve R. Gunn, Chris J. Harris
2002	J	`jnl`	A Probabilistic Framework for SVM Regression and Error Bar Estimation. Mach. Learn. Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown
2002	—	`conf`	Adapting Kernels by Variational Approach in SVM. Australian Joint Conference on Artificial Intelligence Junbin Gao, Steve R. Gunn, Jaz S. Kandola
2002	J	`jnl`	Some remarks on Kalman filters for the multisensor fusion. Inf. Fusion Junbin Gao, Chris J. Harris
2001	J	`jnl`	On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. Neural Comput. Junbin Gao, Chris J. Harris, Steve R. Gunn
2000	J	`jnl`	Adaptive linear finite-element method for modelling nonlinear dynamic systems. Int. J. Syst. Sci. Chris J. Harris, Junbin Gao
1993	J	`jnl`	A Computing Junbin Gao