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ORCIDJunbin Gao
Person information
- affiliation: University of Sydney, Business School, NSW, Australia
- affiliation (2002 - 2015): Charles Sturt University, School of Computing and Mathematics, Bathurst, Australia
- affiliation (2001 - 2005): University of New England, Armidale, NSW, Australia
- affiliation (1982 - 2001): Huazhong University of Science and Technology, Department of Mathematics, Wuhan, China
- affiliation (PhD 1991): Dalian University of Technology, China
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2020 – today
- 2024
[j193]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: 128249 (2024)- [j192]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): 1-5 (2024) - [j191]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): 19-41 (2024) - [j190]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Differentially private Riemannian optimization. Mach. Learn. 113(3): 1133-1161 (2024) - [j189]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian block SPD coupling manifold and its application to optimal transport. Mach. Learn. 113(4): 1595-1622 (2024) - [j188]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): 1553-1573 (2024) - [j187]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: 1-10 (2024) - [j186]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: 106322 (2024) - [j185]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): 1647-1657 (2024) - [j184]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: 386-396 (2024) - [j183]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: 1762-1775 (2024) - [j182]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): 828-838 (2024) - [j181]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: 1-16 (2024) - [j180]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): 78:1-78:24 (2024) - [j179]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): 2271-2284 (2024) - [j178]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) - [j177]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) - [j176]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): 4451-4464 (2024) - [c181]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: 9260-9268 - [c180]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: 4970-4974 - [c179]Zhengyang Chi, Junbin Gao:
Maximal Coding Rate Reduction for Graph Embeddings. ICASSP 2024: 5485-5489 - [c178]Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao:
Bregman Graph Neural Network. ICASSP 2024: 6250-6254 - [c177]Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F. Caiafa, Qibin Zhao:
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. ICML 2024 - [c176]Junjie Zhang, Shaojin Wu, Junbin Gao, Fusheng Yu, Hao Xu, Zhigang Zeng:
DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste. ISNN 2024: 153-162 - [c175]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: 1954-1962 - [i95]Lequan Lin, Dai Shi, Andi Han, Junbin Gao:
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. CoRR abs/2401.08119 (2024) - [i94]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 abs/2401.14580 (2024) - [i93]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 abs/2401.15584 (2024) - [i92]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 abs/2403.17753 (2024) - [i91]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 abs/2403.19881 (2024) - [i90]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 abs/2404.13257 (2024) - [i89]Zhiqi Shao, Xusheng Yao, Ze Wang, Junbin Gao:
ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction. CoRR abs/2404.15899 (2024) - [i88]Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao:
Unleash Graph Neural Networks from Heavy Tuning. CoRR abs/2405.12521 (2024) - [i87]Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification. CoRR abs/2407.10105 (2024) - 2023
- [j175]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: 103896 (2023) - [j174]Yang Li, Mingyuan Bai, Qingfeng Guan, Zi Ming, Xun Liang, Gang Liu, Junbin Gao:
CSD-RkNN: reverse k nearest neighbors queries with conic section discriminances. Int. J. Geogr. Inf. Sci. 37(10): 2175-2204 (2023) - [j173]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: 173-186 (2023) - [j172]Huidong Liang, Junbin Gao:
Wasserstein Adversarially Regularized Graph Autoencoder. Neurocomputing 541: 126235 (2023) - [j171]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: 110609 (2023) - [j170]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: 305-317 (2023) - [j169]Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao:
Graph contrastive learning with implicit augmentations. Neural Networks 163: 156-164 (2023) - [j168]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: 1010-1020 (2023) - [j167]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): 3396-3410 (2023) - [j166]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. 33(3): 1797-1827 (2023) - [j165]Yi Guo, Stephen Tierney, Junbin Gao:
Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082. Signal Process. 202: 108784 (2023) - [j164]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): 3855-3867 (2023) - [j163]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): 11:1-11:19 (2023) - [j162]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): 3471-3483 (2023) - [j161]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): 13002-13014 (2023) - [j160]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Nonconvex-nonconcave min-max optimization on Riemannian manifolds. Trans. Mach. Learn. Res. 2023 (2023) - [j159]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): 7196-7209 (2023) - [j158]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): 8071-8085 (2023) - [j157]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): 9859-9873 (2023) - [c174]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: 1199-1214 - [c173]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: 661-676 - [c172]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian Accelerated Gradient Methods via Extrapolation. AISTATS 2023: 1554-1585 - [c171]Junbin Gao, Hao Ruan, Bingrong Xu, Zhigang Zeng:
DAFormer: Depth-aware 3D Object Detection Guided by Camera Model via Transformers. CBS 2023: 170-175 - [c170]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: 190-195 - [c169]Kuan Yan, Junbin Gao, Dmytro Matsypura:
FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. DSAA 2023: 1-10 - [c168]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. GSI (1) 2023: 405-415 - [c167]Lequan Lin, Junbin Gao:
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. ICASSP 2023: 1-5 - [c166]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms (Extended abstract). ICDE 2023: 3785-3786 - [c165]Xuliang Li, Junbin Gao:
Audioset classification with Graph Convolutional Attention model. IJCNN 2023: 1-6 - [c164]Dai Shi, Andi Han, Yi Guo, Junbin Gao:
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN 2023: 1-9 - [c163]Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao:
Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. IJCNN 2023: 1-8 - [c162]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: 4065-4073 - [c161]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: 6643-6652 - [c160]Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang:
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. SustaiNLP 2023: 227-238 - [c159]Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang:
Robust Graph Representation Learning for Local Corruption Recovery. WWW 2023: 438-448 - [i86]Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao:
Diffusion Models for Time Series Applications: A Survey. CoRR abs/2305.00624 (2023) - [i85]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 abs/2305.15639 (2023) - [i84]Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang:
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. CoRR abs/2306.03415 (2023) - [i83]Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Junbin Gao, Hongzhi Yin:
Variational Counterfactual Prediction under Runtime Domain Corruption. CoRR abs/2306.13271 (2023) - [i82]Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao:
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment. CoRR abs/2307.02075 (2023) - [i81]Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao:
Frameless Graph Knowledge Distillation. CoRR abs/2307.06631 (2023) - [i80]Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao:
How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR abs/2307.09768 (2023) - [i79]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 abs/2309.02769 (2023) - [i78]Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao:
Bregman Graph Neural Network. CoRR abs/2309.06645 (2023) - [i77]Andi Han, Dai Shi, Lequan Lin, Junbin Gao:
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. CoRR abs/2310.10121 (2023) - [i76]Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao:
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. CoRR abs/2311.07073 (2023) - 2022
- [j156]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): 1409-1439 (2022) - [j155]Suman Saha, Junbin Gao, Richard Gerlach:
A survey of the application of graph-based approaches in stock market analysis and prediction. Int. J. Data Sci. Anal. 14(1): 1-15 (2022) - [j154]Jie Yang, Jun Ma, Khin Than Win, Junbin Gao, Zhenyu Yang:
Low-rank and sparse representation based learning for cancer survivability prediction. Inf. Sci. 582: 573-592 (2022) - [j153]Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds. Inf. Sci. 594: 151-162 (2022) - [j152]Yachao Yang, Fujiao Ju, Yanfeng Sun, Junbin Gao, Baocai Yin:
Adversarially regularized joint structured clustering network. Inf. Sci. 615: 136-151 (2022) - [j151]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): 153-162 (2022) - [j150]Yongli Hu, Cuicui Luo, Junbin Gao, Boyue Wang, Yanfeng Sun, Baocai Yin:
Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering. J. Vis. Commun. Image Represent. 84: 103457 (2022) - [j149]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Adaptive hierarchical hyper-gradient descent. Int. J. Mach. Learn. Cybern. 13(12): 3785-3805 (2022) - [j148]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): 23615-23632 (2022) - [j147]Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao:
Embedding graphs on Grassmann manifold. Neural Networks 152: 322-331 (2022) - [j146]Jiayi Zhao, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Baocai Yin:
Adaptive graph convolutional clustering network with optimal probabilistic graph. Neural Networks 156: 271-284 (2022) - [j145]Andi Han, Junbin Gao:
Improved Variance Reduction Methods for Riemannian Non-Convex Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7610-7623 (2022) - [j144]Fa Zhu, Junbin Gao, Jian Yang, Ning Ye:
Neighborhood linear discriminant analysis. Pattern Recognit. 123: 108422 (2022) - [j143]Jiahao Xu, Boyan Zhang, Zhiyong Wang, Yang Wang, Fang Chen, Junbin Gao, David Dagan Feng:
Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network. IEEE Trans. Affect. Comput. 13(1): 238-249 (2022) - [j142]Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju, Baocai Yin:
Probabilistic Linear Discriminant Analysis Based on L1-Norm and Its Bayesian Variational Inference. IEEE Trans. Cybern. 52(3): 1616-1627 (2022) - [j141]Ziyang Guo, Anyou Min, Bing Yang, Junhong Chen, Hong Li, Junbin Gao:
A Sparse Oblique-Manifold Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j140]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: 7191-7205 (2022) - [j139]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): 1009-1018 (2022) - [j138]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): 23680-23693 (2022) - [j137]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. 34(6): 2553-2573 (2022) - [j136]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): 3157-3170 (2022) - [j135]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): 5681-5693 (2022) - [c158]Huidong Liang, Junbin Gao:
How Neural Processes Improve Graph Link Prediction. ICASSP 2022: 3543-3547 - [c157]Mingyuan Bai, Jie Chen, Qibin Zhao, Chao Li, Junping Zhang, Junbin Gao:
Tensor Neural Controlled Differential Equations. IJCNN 2022: 1-9 - [c156]Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Multiple Granularity Attention Network for Long Document Classification. IJCNN 2022: 1-7 - [c155]Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin:
Robust Graph Convolutional Clustering With Adaptive Graph Learning. IJCNN 2022: 1-8 - [c154]Peggy Tang, Kun Hu, Rui Yan, Lei Zhang, Junbin Gao, Zhiyong Wang:
OTExtSum: Extractive Text Summarisation with Optimal Transport. NAACL-HLT (Findings) 2022: 1128-1141 - [c153]Siying Zhang, Andi Han, Junbin Gao:
Robust Denoising in Graph Neural Networks. SSCI 2022: 1088-1095 - [c152]