Yongli Hu

According to our database, Yongli Hu authored at least 165 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An adaptive composite time series forecasting model for short-term traffic flow.

Qitan Shao, Xinglin Piao, Xiangyu Yao, Yuqiu Kong, Yongli Hu, Baocai Yin, Yong Zhang

J. Big Data, December, 2024

QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity.

Mengshu Sun, Kaidi Xu, Xue Lin, Yongli Hu, Baocai Yin

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2024

Fair Attention Network for Robust Visual Question Answering.

Yandong Bi, Huajie Jiang, Yongli Hu, Yanfeng Sun, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., September, 2024

Traffic Origin-Destination Demand Prediction via Multichannel Hypergraph Convolutional Networks.

Ming Wang, Yong Zhang, Xia Zhao, Yongli Hu, Baocai Yin

IEEE Trans. Comput. Soc. Syst., August, 2024

Dynamic Hypergraph Structure Learning for Multivariate Time Series Forecasting.

Shun Wang, Yong Zhang, Xuanqi Lin, Yongli Hu, Qingming Huang, Baocai Yin

IEEE Trans. Big Data, August, 2024

Context-aware relation enhancement and similarity reasoning for image-text retrieval.

Zheng Cui, Yongli Hu, Yanfeng Sun, Baocai Yin

IET Comput. Vis., August, 2024

Incorporating Multi-Level Sampling with Adaptive Aggregation for Inductive Knowledge Graph Completion.

Kai Sun, Huajie Jiang, Yongli Hu, Baocai Yin

ACM Trans. Knowl. Discov. Data, June, 2024

Metro Flow Prediction With Hierarchical Hypergraph Attention Networks.

Jingcheng Wang, Yong Zhang, Yongli Hu, Baocai Yin

IEEE Trans. Artif. Intell., June, 2024

Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification.

Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

ACM Trans. Knowl. Discov. Data, May, 2024

Multi-Level Dynamic Graph Convolutional Networks for Weakly Supervised Crowd Counting.

Zhuangzhuang Miao, Yong Zhang, Hao Ren, Yongli Hu, Baocai Yin

IEEE Trans. Intell. Transp. Syst., May, 2024

Domain-Aware Prototype Network for Generalized Zero-Shot Learning.

Yongli Hu, Lincong Feng, Huajie Jiang, Mengting Liu, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., May, 2024

IE-GAN: a data-driven crowd simulation method via generative adversarial networks.

Xuanqi Lin, Yuchen Liang, Yong Zhang, Yongli Hu, Baocai Yin

Multim. Tools Appl., May, 2024

Parallelly Adaptive Graph Convolutional Clustering Model.

Xiaxia He, Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., April, 2024

MBMF: Constructing memory banks of multi-scale features for anomaly detection.

Yanfeng Sun, Haitao Wang, Yongli Hu, Huajie Jiang, Baocai Yin

IET Comput. Vis., April, 2024

Cross-modal fusion encoder via graph neural network for referring image segmentation.

Yuqing Zhang, Yong Zhang, Xinglin Piao, Peng Yuan, Yongli Hu, Baocai Yin

IET Image Process., March, 2024

See and Learn More: Dense Caption-Aware Representation for Visual Question Answering.

Yandong Bi, Huajie Jiang, Yongli Hu, Yanfeng Sun, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., February, 2024

A plug-and-play image enhancement model for end-to-end object detection in low-light condition.

Jiaojiao Yuan, Yongli Hu, Yanfeng Sun, Boyue Wang, Baocai Yin

Multim. Syst., February, 2024

Self-supervised knowledge distillation in counterfactual learning for VQA.

Yandong Bi, Huajie Jiang, Hanfu Zhang, Yongli Hu, Baocai Yin

Pattern Recognit. Lett., January, 2024

Multi-Level Interaction Based Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Simin Hu, Yongli Hu, Baocai Yin

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification.

Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Multi-scale hypergraph-based feature alignment network for cell localization.

Bo Li, Yong Zhang, Chengyang Zhang, Xinglin Piao, Yongli Hu, Baocai Yin

Pattern Recognit., 2024

Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer.

Tengfei Liu, Yongli Hu, Junbin Gao, Jiapu Wang, Yanfeng Sun, Baocai Yin

Neural Networks, 2024

Contrastive optimized graph convolution network for traffic forecasting.

Kan Guo, Daxin Tian, Yongli Hu, Yanfeng Sun, Zhen (sean) Qian, Jianshan Zhou, Junbin Gao, Baocai Yin

Neurocomputing, 2024

Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification.

Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

CoRR, 2024

Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion.

Kai Sun, Jiapu Wang, Huajie Jiang, Yongli Hu, Baocai Yin

CoRR, 2024

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning.

Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin

CoRR, 2024

Data-unbalanced traffic accident prediction via adaptive graph and self-supervised learning.

Shun Wang, Yong Zhang, Xinglin Piao, Xuanqi Lin, Yongli Hu, Baocai Yin

Appl. Soft Comput., 2024

Common-Memory Bridged Cross-Modal Adaptive Graph Embedding for Image-Text Retrieval.

Zheng Cui, Yongli Hu, Jiapu Wang, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Generating Graph-Based Rules for Enhancing Logical Reasoning.

Kai Sun, Huajie Jiang, Yongli Hu, Baocai Yin

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Referring Image Segmentation Without Text Annotations.

Jing Liu, Huajie Jiang, Yandong Bi, Yongli Hu, Baocai Yin

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

VQA-PDF: Purifying Debiased Features for Robust Visual Question Answering Task.

Yandong Bi, Huajie Jiang, Jing Liu, Mengting Liu, Yongli Hu, Baocai Yin

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

VIG: Visual Information-Guided Knowledge-Based Visual Question Answering.

Heng Liu, Boyue Wang, Yanfeng Sun, Xiaoyan Li, Yongli Hu, Baocai Yin

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

TDN: Triplet Distributor Network for Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin

IEEE Trans. Knowl. Data Eng., December, 2023

Substructure-aware subgraph reasoning for inductive relation prediction.

Kai Sun, Huajie Jiang, Yongli Hu, Baocai Yin

J. Supercomput., December, 2023

A subgraph sampling method for training large-scale graph convolutional network.

Qi Zhang, Yanfeng Sun, Yongli Hu, Shaofan Wang, Baocai Yin

Inf. Sci., November, 2023

Domain Adaptation as Optimal Transport on Grassmann Manifolds.

Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Hierarchical Graph Convolutional Networks for Structured Long Document Classification.

Tengfei Liu, Yongli Hu, Boyue Wang, Yanfeng Sun, Junbin Gao, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., October, 2023

DSGEM: Dual scene graph enhancement module-based visual question answering.

Boyue Wang, Yujian Ma, Xiaoyan Li, Heng Liu, Yongli Hu, Baocai Yin

IET Comput. Vis., September, 2023

Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning.

Mengran Li, Yong Zhang, Wei Zhang, Yi Chu, Yongli Hu, Baocai Yin

IEEE Trans. Big Data, August, 2023

Multi-level attention for referring expression comprehension.

Yanfeng Sun, Yunru Zhang, Huajie Jiang, Yongli Hu, Baocai Yin

Pattern Recognit. Lett., August, 2023

Graph structure learning layer and its graph convolution clustering application.

Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin

Neural Networks, August, 2023

Underwater autonomous grasping robot based on multi-stage Cascade DetNet.

Yong Zhang, Chengyang Zhang, Bo Li, Yongli Hu, Baocai Yin

Artif. Life Robotics, May, 2023

CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering.

Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin

IEEE Trans. Knowl. Data Eng., April, 2023

Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting.

Guangyu Huo, Yong Zhang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Intell. Transp. Syst., April, 2023

Self-Attention Graph Convolution Residual Network for Traffic Data Completion.

Yong Zhang, Xiulan Wei, Xinyu Zhang, Yongli Hu, Baocai Yin

IEEE Trans. Big Data, April, 2023

A multi-scale feature representation and interaction network for underwater object detection.

Jiaojiao Yuan, Yongli Hu, Yanfeng Sun, Baocai Yin

IET Comput. Vis., April, 2023

Robust discriminant analysis with feature selective projection and between-classes structural incoherence.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Digit. Signal Process., April, 2023

Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation.

Ye Yuan, Yong Zhang, Boyue Wang, Yuan Peng, Yongli Hu, Baocai Yin

IEEE Trans. Big Data, February, 2023

Multi-Concept Representation Learning for Knowledge Graph Completion.

Jiapu Wang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin

ACM Trans. Knowl. Discov. Data, January, 2023

Metro Passenger-Flow Representation via Dynamic Mode Decomposition and Its Application.

Xiulan Wei, Yong Zhang, Yun Wei, Yongli Hu, Shuzhen Tong, Wei Huang, Jinde Cao

IEEE Trans. Neural Networks Learn. Syst., 2023

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects.

Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao

CoRR, 2023

Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA.

Zhongfan Sun, Yongli Hu, Qingqing Gao, Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-Shot Text Classification with Semantically Extended Textual Entailment.

Tengfei Liu, Yongli Hu, Puman Chen, Yanfeng Sun, Baocai Yin

Proceedings of the International Joint Conference on Neural Networks, 2023

Path Planning of Unmanned Underwater Vehicles Based on Deep Reinforcement Learning Algorithm.

Yu Wang, Zhenzhong Chu, Yongli Hu

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Center Focusing Network for Real-Time LiDAR Panoptic Segmentation.

Xiaoyan Li, Gang Zhang, Boyue Wang, Yongli Hu, Baocai Yin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Decoder-Free Variational Deep Embedding for Unsupervised Clustering.

Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2022

Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2022

Urban Traffic Pattern Analysis and Applications Based on Spatio-Temporal Non-Negative Matrix Factorization.

Yang Wang, Yong Zhang, Lixun Wang, Yongli Hu, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2022

Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework.

Jingcheng Wang, Yong Zhang, Lixun Wang, Yongli Hu, Xinglin Piao, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2022

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction.

Yanfeng Sun, Xiangheng Jiang, Yongli Hu, Fuqing Duan, Kan Guo, Boyue Wang, Junbin Gao, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2022

Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation.

Guangyu Huo, Yong Zhang, Boyue Wang, Yongli Hu, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2022

Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation.

Kan Guo, Yongli Hu, Zhen Sean Qian, Yanfeng Sun, Junbin Gao, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2022

Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Image Process., 2022

Probabilistic Linear Discriminant Analysis Based on L₁-Norm and Its Bayesian Variational Inference.

Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju, Baocai Yin

IEEE Trans. Cybern., 2022

MFFNet: Single facial depth map refinement using multi-level feature fusion.

Fan Zhang, Na Liu, Yongli Hu, Fuqing Duan

Signal Process. Image Commun., 2022

CGNN: Caption-assisted graph neural network for image-text retrieval.

Yongli Hu, Hanfu Zhang, Huajie Jiang, Yandong Bi, Baocai Yin

Pattern Recognit. Lett., 2022

Cross-modal alignment with graph reasoning for image-text retrieval.

Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin

Multim. Tools Appl., 2022

Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering.

Yongli Hu, Cuicui Luo, Junbin Gao, Boyue Wang, Yanfeng Sun, Baocai Yin

J. Vis. Commun. Image Represent., 2022

Modeling Relation Proximity of Passengers Using Public Transit Smart Card Data.

Xia Zhao, Yong Zhang, Yongli Hu, Zhen Sean Qian, Hao Liu, Baocai Yin

IEEE Intell. Transp. Syst. Mag., 2022

An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting.

Kan Guo, Yongli Hu, Yanfeng Sun, Zhen Sean Qian, Junbin Gao, Baocai Yin

IEEE Intell. Transp. Syst. Mag., 2022

Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds.

Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Inf. Sci., 2022

Multi-graph convolutional clustering network.

Boyue Wang, Yifan Wang, Xiaxia He, Yongli Hu, Baocai Yin

IET Signal Process., 2022

Globality constrained adaptive graph regularized non-negative matrix factorization for data representation.

Yanfeng Sun, Jie Wang, Jipeng Guo, Yongli Hu, Baocai Yin

IET Image Process., 2022

Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks.

Jingcheng Wang, Yong Zhang, Yisheng Lv, Yongli Hu, Baocai Yin

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Hierarchical Multiple Granularity Attention Network for Long Document Classification.

Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the International Joint Conference on Neural Networks, 2022

Learnable Gated Graph Convolutional Residual Network for Traffic Prediction.

Yong Zhang, Xiulan Wei, Xinyu Zhang, Feng Lin, Yongli Hu, Baocai Yin

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

SHCN: Self-supervised General Hypergraph Clustering Network.

Mengran Li, Xinglin Piao, Yong Zhang, Yongli Hu, Baocai Yin

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2021

Robust CAPTCHAs Towards Malicious OCR.

Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Xian Zhao, Yanfeng Sun, Yongli Hu, Jian Yu

IEEE Trans. Multim., 2021

Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin

IEEE Trans. Multim., 2021

Robust Image Representation via Low Rank Locality Preserving Projection.

Shuai Yin, Yanfeng Sun, Junbin Gao, Yongli Hu, Boyue Wang, Baocai Yin

ACM Trans. Knowl. Discov. Data, 2021

Interactive Visual Exploration of Human Mobility Correlation Based on Smart Card Data.

Xia Zhao, Yong Zhang, Yongli Hu, Shun Wang, Yunhui Li, Sean Qian, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2021

A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction.

Yadong Yu, Yong Zhang, Sean Qian, Shaofan Wang, Yongli Hu, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2021

Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks.

Jingcheng Wang, Yong Zhang, Yun Wei, Yongli Hu, Xinglin Piao, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2021

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction.

Kan Guo, Yongli Hu, Sean Qian, Hao Liu, Ke Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin

IEEE Trans. Intell. Transp. Syst., 2021

AKM³C: Adaptive K-Multiple-Means for Multi-View Clustering.

Yongli Hu, Zuolong Song, Boyue Wang, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., 2021

Kronecker-decomposable robust probabilistic tensor discriminant analysis.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Inf. Sci., 2021

Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser.

Yongli Hu, Cuicui Luo, Boyue Wang, Junbin Gao, Yanfeng Sun, Baocai Yin

IET Comput. Vis., 2021

Attributed Non-negative Matrix Multi-factorization for Data Representation.

Jie Wang, Yanfeng Sun, Jipeng Guo, Yongli Hu, Baocai Yin

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Hierarchical Attention Transformer Networks for Long Document Classification.

Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the International Joint Conference on Neural Networks, 2021

Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval.

Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval.

Yongli Hu, Feili Gao, Yanfeng Sun, Junbin Gao, Baocai Yin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Hierarchical Graph Convolution Network for Traffic Forecasting.

Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

ACM Trans. Knowl. Discov. Data, 2020

Visual analysis method for abnormal passenger flow on urban metro network.

Yong Zhang, He Shi, Feifei Zhou, Yongli Hu, Baocai Yin

J. Vis., 2020

Locality preserving projection based on Euler representation.

Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

J. Vis. Commun. Image Represent., 2020

Adversarial Privacy-preserving Filter.

Jiaming Zhang, Jitao Sang, Xian Zhao, Xiaowen Huang, Yanfeng Sun, Yongli Hu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint.

Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network.

Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Variational Deep Embedding Clustering by Augmented Mutual Information Maximization.

Qiang Ji, Yanfeng Sun, Yongli Hu, Baocai Yin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation.

Jipeng Guo, Shuai Yin, Yanfeng Sun, Yongli Hu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering.

Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation.

Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin, Wenwu Zhu, Ge Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold.

Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2019

Solving Partial Least Squares Regression via Manifold Optimization Approaches.

Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2019

Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning.

Haoran Chen, Jinghua Li, Junbin Gao, Yanfeng Sun, Yongli Hu, Baocai Yin

ACM Trans. Knowl. Discov. Data, 2019

A New Lane-Changing Model with Consideration of Driving Style.

Guoqing Ren, Yong Zhang, Hao Liu, Ke Zhang, Yongli Hu

Int. J. Intell. Transp. Syst. Res., 2019

Detecting Pickpocketing Gangs on Buses with Smart Card Data.

Xia Zhao, Yong Zhang, Hao Liu, Shaofan Wang, Zhen Sean Qian, Yongli Hu, Baocai Yin

IEEE Intell. Transp. Syst. Mag., 2019

Multi-Source Traffic Data Reconstruction Using Joint Low-Rank and Fundamental Diagram Constraints.

Yang Wang, Yong Zhang, Zhen Sean Qian, Shaofan Wang, Yongli Hu, Baocai Yin

IEEE Intell. Transp. Syst. Mag., 2019

Domain-invariant representation learning using an unsupervised domain adversarial adaptation deep neural network.

Xibin Jia, Ya Jin, Xing Su, Yongli Hu

Neurocomputing, 2019

blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness.

Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Yongli Hu, Yanfeng Sun, Jian Yu

CoRR, 2019

Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder.

Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Access, 2019

Multi-View Subspace Clustering With Block Diagonal Representation.

Jipeng Guo, Wenbin Yin, Yanfeng Sun, Yongli Hu

IEEE Access, 2019

Locality Preserving Projection via Deep Neural Network.

Tianhang Long, Junbin Gao, Mingyan Yang, Yongli Hu, Baocai Yin

Proceedings of the International Joint Conference on Neural Networks, 2019

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering.

Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

L1 norm based double-prior learning for image denoising.

Weinan Du, Yanfeng Sun, Yongli Hu

Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition, 2019

2018

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Neural Networks Learn. Syst., 2018

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

ACM Trans. Knowl. Discov. Data, 2018

Localized LRR on Grassmann Manifold: An Extrinsic View.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., 2018

Low Rank Representation on SPD matrices with Log-Euclidean metric.

Boyue Wang, Yongli Hu, Junbin Gao, Muhammad Ali, David Tien, Yanfeng Sun, Baocai Yin

Pattern Recognit., 2018

Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning.

Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Neurocomputing, 2018

Cascaded Low Rank and Sparse Representation on Grassmann Manifolds.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Locality Preserving Projection Based on F-norm.

Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., 2017

Localized LRR on Grassmann Manifolds: An Extrinsic View.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

CoRR, 2017

Locality Preserving Projections for Grassmann manifold.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Baocai Yin

CoRR, 2017

Matrix variate RBM model with Gaussian distributions.

Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Locality Preserving Projections for Grassmann manifold.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali, Baocai Yin

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

L1-2DPCA Revisit via Optimization on Product Manifolds.

Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Fisher discrimination-based l_{2, 1}-norm sparse representation for face recognition.

Lu Zhao, Yong Zhang, Baocai Yin, Yanfeng Sun, Yongli Hu, Xinglin Piao, Qianjun Wu

Vis. Comput., 2016

Ordered Subspace Clustering With Block-Diagonal Priors.

Fei Wu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

IEEE Trans. Cybern., 2016

RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint.

Xinglin Piao, Yong Zhang, Tingshu Li, Yongli Hu, Hao Liu, Ke Zhang, Yun Ge

Sensors, 2016

Nonparametric tensor dictionary learning with beta process priors.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

Neurocomputing, 2016

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

CoRR, 2016

Kernelized LRR on Grassmann Manifolds for Subspace Clustering.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

CoRR, 2016

Matrix Variate RBM and Its Applications.

Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li

CoRR, 2016

Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu

CoRR, 2016

Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications.

Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

CoRR, 2016

Matrix Variate Restricted Boltzmann Machine.

Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Product Grassmann Manifold Representation and Its LRR Models.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA.

Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin

IEEE Trans. Image Process., 2015

Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

CoRR, 2015

Kernelized Low Rank Representation on Grassmann Manifolds.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

CoRR, 2015

Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation.

Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu

CoRR, 2015

2014

Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling.

Xinglin Piao, Yongli Hu, Yanfeng Sun, Baocai Yin, Junbin Gao

Sensors, 2014

Color face recognition based on color image correlation similarity discriminant model.

Yanfeng Sun, Huajie Jia, Yongli Hu, Baocai Yin

Multim. Tools Appl., 2014

Craniofacial reconstruction based on multi-linear subspace analysis.

Fuqing Duan, Sen Yang, Donghua Huang, Yongli Hu, Zhongke Wu, Mingquan Zhou

Multim. Tools Appl., 2014

Low Rank Representation on Grassmann Manifolds.

Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

3D face recognition using local binary patterns.

Hengliang Tang, Baocai Yin, Yanfeng Sun, Yongli Hu

Signal Process., 2013

A hierarchical dense deformable model for 3D face reconstruction from skull.

Yongli Hu, Fuqing Duan, Baocai Yin, Mingquan Zhou, Yanfeng Sun, Zhongke Wu, Guohua Geng

Multim. Tools Appl., 2013

A robust sparse representation framework for depth map restoration.

Xien Liu, Yanfeng Sun, Yongli Hu, Baocai Yin

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Efficient Data Gathering in Wireless Sensor Networks Based on Low Rank Approximation.

Xinglin Piao, Yongli Hu, Yanfeng Sun, Baocai Yin

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012

Craniofacial reconstruction based on a hierarchical dense deformable model.

Yongli Hu, Fuqing Duan, Mingquan Zhou, Yanfeng Sun, Baocai Yin

EURASIP J. Adv. Signal Process., 2012

An Automatic Multi-sample 3D Face Registration Method Based on Thin Plate Spline and Deformable Model.

Wenyu Qin, Yongli Hu, Yanfeng Sun, Baocai Yin

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

2011

Supervised sparsity preserving projections for face recognition.

Yanfeng Sun, Jiangang Zhao, Yongli Hu

Proceedings of the Third International Conference on Digital Image Processing, 2011

2009

A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation.

Yongli Hu, Mingquan Zhou, Zhongke Wu

Int. J. Comput. Games Technol., 2009

The implementation of e-learning tools to enhance undergraduate bioinformatics teaching and learning: a case study in the National University of Singapore.

Shen Jean Lim, Asif Mohammad Khan, Mark De Silva, Kuan Siong Lim, Yongli Hu, Chay Hoon Tan, Tin Wee Tan

BMC Bioinform., 2009

An Automatic Non-rigid Point Matching Method for Dense 3D Face Scans.

Yongli Hu, Mingquan Zhou, Zhongke Wu

Proceedings of the Selected Papers of the 2009 International Conference on Computational Science and Its Applications, 2009

2005

Multi-lighting 3D face morphable model based on mesh resampling.

Yongli Hu, Baocai Yin, Yanfeng Sun

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Resampling Based Method for Pixel-wise Correspondence between 3D Faces.

Chunliang Gu, Baocai Yin, Yongli Hu, Shiquan Cheng

Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

2003

A New Facial Feature Extraction Method Based on Linear Combination Model .

Yongli Hu, Baocai Yin, Dehui Kong

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003