Junbin Gao

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 330

Top Venues

CoRR

IJCNN

IEEE Trans. Neural Networks Learn. Syst.

Neurocomputing

Publications

Hengmin Zhang, Junbin Gao, Jianjun Qian, Jian Yang, Chunyan Xu, Bob Zhang
Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis. IEEE Trans. Circuits Syst. Video Technol. 34 (2) (2024)
Chunya Zou, Andi Han, Lequan Lin, Ming Li, Junbin Gao
A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs. IEEE Trans. Artif. Intell. 5 (4) (2024)
Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao
Unleash Graph Neural Networks from Heavy Tuning. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Riemannian block SPD coupling manifold and its application to optimal transport. Mach. Learn. 113 (4) (2024)
Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao
Enhancing framelet GCNs with generalized p-Laplacian regularization. Int. J. Mach. Learn. Cybern. 15 (4) (2024)
Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin
Graph Neural Networks with Soft Association between Topology and Attribute. AAAI (2024)
Kan Guo, Daxin Tian, Yongli Hu, Yanfeng Sun, Zhen (sean) Qian, Jianshan Zhou, Junbin Gao, Baocai Yin
Contrastive optimized graph convolution network for traffic forecasting. Neurocomputing 602 (2024)
Xiaxia He, Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
Parallelly Adaptive Graph Convolutional Clustering Model. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Junjie Zhang, Shaojin Wu, Junbin Gao, Fusheng Yu, Hao Xu, Zhigang Zeng
DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste. ISNN (2024)
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
Variational Counterfactual Prediction Under Runtime Domain Corruption. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks. CoRR (2024)
Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations. CoRR (2024)
Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. WWW (2024)
Jiapu Wang, Boyue Wang, Junbin Gao, Simin Hu, Yongli Hu, Baocai Yin
Multi-Level Interaction Based Knowledge Graph Completion. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Lequan Lin, Dai Shi, Andi Han, Junbin Gao
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. CoRR (2024)
Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao
Bregman Graph Neural Network. ICASSP (2024)
Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin
AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. ICASSP (2024)
Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. CoRR (2024)
Andi Han, Dai Shi, Lequan Lin, Junbin Gao
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. Trans. Mach. Learn. Res. 2024 (2024)
Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification. CoRR (2024)
Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. 2024 (2024)
Tengfei Liu, Yongli Hu, Junbin Gao, Jiapu Wang, Yanfeng Sun, Baocai Yin
Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer. Neural Networks 176 (2024)
Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
Diffusion models for time-series applications: a survey. Frontiers Inf. Technol. Electron. Eng. 25 (1) (2024)
Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Haoning Xi, Junbin Gao
ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting. CoRR (2024)
Zhiqi Shao, Xusheng Yao, Ze Wang, Junbin Gao
ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction. CoRR (2024)
Junping Zhang, Lingyun Sun, Cong Jin, Junbin Gao, Xiaobing Li, Jiebo Luo, Zhigeng Pan, Ying Tang, Jingdong Wang
Recent advances in artificial intelligence generated content. Frontiers Inf. Technol. Electron. Eng. 25 (1) (2024)
Zhengyang Chi, Junbin Gao
Maximal Coding Rate Reduction for Graph Embeddings. ICASSP (2024)
Chunbo Cheng, Liming Zhang, Hong Li, Wenjing Cui, Junbin Gao, Yuxiao Cun
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Xusheng Yao, Junbin Gao
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Differentially private Riemannian optimization. Mach. Learn. 113 (3) (2024)
Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Qi Zhang, Jinghua Li, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin
Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks. Neural Networks 169 (2024)
Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao
Frameless Graph Knowledge Distillation. CoRR (2023)
Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. ACML (2023)
Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. Knowl. Based Syst. 273 (2023)
Jiapu Wang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin
Multi-Concept Representation Learning for Knowledge Graph Completion. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
Diffusion Models for Time Series Applications: A Survey. CoRR (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. GSI (1) (2023)
Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin
TDN: Triplet Distributor Network for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao
Bregman Graph Neural Network. CoRR (2023)
Xuliang Li, Junbin Gao
Audioset classification with Graph Convolutional Attention model. IJCNN (2023)
Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao
How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR (2023)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Lequan Lin, Junbin Gao
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. ICASSP (2023)
Yi Guo, Stephen Tierney, Junbin Gao
Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082. Signal Process. 202 (2023)
Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR (2023)
Huidong Liang, Junbin Gao
Wasserstein Adversarially Regularized Graph Autoencoder. Neurocomputing 541 (2023)
Andi Han, Dai Shi, Lequan Lin, Junbin Gao
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. CoRR (2023)
Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. SustaiNLP (2023)
Tengfei Liu, Yongli Hu, Boyue Wang, Yanfeng Sun, Junbin Gao, Baocai Yin
Hierarchical Graph Convolutional Networks for Structured Long Document Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Robust discriminant analysis with feature selective projection and between-classes structural incoherence. Digit. Signal Process. 134 (2023)
Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin
Graph structure learning layer and its graph convolution clustering application. Neural Networks 165 (2023)
Dai Shi, Andi Han, Yi Guo, Junbin Gao
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN (2023)
Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang
Robust Graph Representation Learning for Local Corruption Recovery. WWW (2023)
Zhongfan Sun, Yongli Hu, Qingqing Gao, Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin
Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA. ACM Multimedia (2023)
Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao
Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yang Li, Mingyuan Bai, Qingfeng Guan, Zi Ming, Xun Liang, Gang Liu, Junbin Gao
nearest neighbors queries with conic section discriminances. Int. J. Geogr. Inf. Sci. 37 (10) (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. 33 (3) (2023)
Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. CoRR (2023)
Guangyu Huo, Yong Zhang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin
Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 24 (4) (2023)
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Junbin Gao, Hongzhi Yin
Variational Counterfactual Prediction under Runtime Domain Corruption. CoRR (2023)
Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
Graph contrastive learning with implicit augmentations. Neural Networks 163 (2023)
Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment. CoRR (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Riemannian Accelerated Gradient Methods via Extrapolation. AISTATS (2023)
Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Domain Adaptation as Optimal Transport on Grassmann Manifolds. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Ruikun Li, Xuliang Li, Shiying Gao, S. T. Boris Choy, Junbin Gao
Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting. ADMA (1) (2023)
Xia Hong, Junbin Gao, Hong Wei, James Xiao, Richard J. Mitchell
Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing 519 (2023)
Hao Ruan, Bingrong Xu, Junbin Gao, Lianguang Liu, Junting Lv, Yin Sheng, Zhigang Zeng
GNet: 3D Object Detection from Point Cloud with Geometry-Aware Network. CBS (2023)
Kuan Yan, Junbin Gao, Dmytro Matsypura
FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. DSAA (2023)
Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Nonconvex-nonconcave min-max optimization on Riemannian manifolds. Trans. Mach. Learn. Res. 2023 (2023)
Junbin Gao, Hao Ruan, Bingrong Xu, Zhigang Zeng
DAFormer: Depth-aware 3D Object Detection Guided by Camera Model via Transformers. CBS (2023)
Yachao Yang, Yanfeng Sun, Fujiao Ju, Shaofan Wang, Junbin Gao, Baocai Yin
Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision. Neural Networks 158 (2023)
Peggy Tang, Kun Hu, Lei Zhang, Junbin Gao, Jiebo Luo, Zhiyong Wang
TopicCAT: Unsupervised Topic-Guided Co-Attention Transformer for Extreme Multimodal Summarisation. ACM Multimedia (2023)
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms (Extended abstract). ICDE (2023)
Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao
Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. IJCNN (2023)
Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin
CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. CoRR (2023)
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
Embedding Graphs on Grassmann Manifold. CoRR (2022)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Lequan Lin, Junbin Gao
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. CoRR (2022)
Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Ming Yin, Junbin Gao
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research. Artif. Intell. Rev. 55 (2) (2022)
Yanfeng Sun, Xiangheng Jiang, Yongli Hu, Fuqing Duan, Kan Guo, Boyue Wang, Junbin Gao, Baocai Yin
Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Peggy Tang, Kun Hu, Rui Yan, Lei Zhang, Junbin Gao, Zhiyong Wang
OTExtSum: Extractive Text Summarisation with Optimal Transport. NAACL-HLT (Findings) (2022)
Fa Zhu, Junbin Gao, Jian Yang, Ning Ye
Neighborhood linear discriminant analysis. Pattern Recognit. 123 (2022)
Jie Chen, Weiqi Liu, Zhizhong Huang, Junbin Gao, Junping Zhang, Jian Pu
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing. CoRR (2022)
Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization. IEEE Trans. Image Process. 31 (2022)
Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin
Robust Graph Convolutional Clustering With Adaptive Graph Learning. IJCNN (2022)
Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds. Inf. Sci. 594 (2022)
Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin
A Decoder-Free Variational Deep Embedding for Unsupervised Clustering. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Differentially private Riemannian optimization. CoRR (2022)
Kan Guo, Yongli Hu, Yanfeng Sun, Zhen Sean Qian, Junbin Gao, Baocai Yin
An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting. IEEE Intell. Transp. Syst. Mag. 14 (1) (2022)
Kan Guo, Yongli Hu, Zhen Sean Qian, Yanfeng Sun, Junbin Gao, Baocai Yin
Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation. IEEE Trans. Intell. Transp. Syst. 23 (2) (2022)
Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
Embedding graphs on Grassmann manifold. Neural Networks 152 (2022)
Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin
Cross-modal alignment with graph reasoning for image-text retrieval. Multim. Tools Appl. 81 (17) (2022)
Siying Zhang, Andi Han, Junbin Gao
Robust Denoising in Graph Neural Networks. SSCI (2022)
Ye Xiao, Junbin Gao
Kernel Matrix-based Spd Representation For Graph Learning. SSCI (2022)
Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao
Graph Contrastive Learning with Implicit Augmentations. CoRR (2022)
Yachao Yang, Fujiao Ju, Yanfeng Sun, Junbin Gao, Baocai Yin
Adversarially regularized joint structured clustering network. Inf. Sci. 615 (2022)

Junbin Gao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Junbin Gao