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2020 – today
- 2025
- [j111]Shun Wang, Yong Zhang, Xinglin Piao, Xuanqi Lin, Yongli Hu, Baocai Yin:
MRAGNN: Refining urban spatio-temporal prediction of crime occurrence with multi-type crime correlation learning. Expert Syst. Appl. 265: 125940 (2025) - 2024
- [j110]Shun Wang, Yong Zhang, Xinglin Piao, Xuanqi Lin, Yongli Hu, Baocai Yin:
Data-unbalanced traffic accident prediction via adaptive graph and self-supervised learning. Appl. Soft Comput. 157: 111512 (2024) - [j109]Shan Tharanga, Eyyüb Selim Ünlü, Yongli Hu, Muhammad Farhan Sjaugi, Muhammet A Çelik, Hilal Hekimoglu, Olivo Miotto, Muhammed Miran Öncel, Asif M. Khan:
DiMA: sequence diversity dynamics analyser for viruses. Briefings Bioinform. 26(1) (2024) - [j108]Yanfeng Sun, Haitao Wang, Yongli Hu, Huajie Jiang, Baocai Yin:
MBMF: Constructing memory banks of multi-scale features for anomaly detection. IET Comput. Vis. 18(3): 355-369 (2024) - [j107]Zheng Cui, Yongli Hu, Yanfeng Sun, Baocai Yin:
Context-aware relation enhancement and similarity reasoning for image-text retrieval. IET Comput. Vis. 18(5): 652-665 (2024) - [j106]Yuqing Zhang, Yong Zhang, Xinglin Piao, Peng Yuan, Yongli Hu, Baocai Yin:
Cross-modal fusion encoder via graph neural network for referring image segmentation. IET Image Process. 18(4): 1083-1095 (2024) - [j105]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) - [j104]Qitan Shao, Xinglin Piao, Xiangyu Yao, Yuqiu Kong, Yongli Hu, Baocai Yin, Yong Zhang:
An adaptive composite time series forecasting model for short-term traffic flow. J. Big Data 11(1): 102 (2024) - [j103]Jiaojiao Yuan, Yongli Hu, Yanfeng Sun, Boyue Wang, Baocai Yin:
A plug-and-play image enhancement model for end-to-end object detection in low-light condition. Multim. Syst. 30(1): 27 (2024) - [j102]Xuanqi Lin, Yuchen Liang, Yong Zhang, Yongli Hu, Baocai Yin:
IE-GAN: a data-driven crowd simulation method via generative adversarial networks. Multim. Tools Appl. 83(15): 45207-45240 (2024) - [j101]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) - [j100]Bo Li, Yong Zhang, Chengyang Zhang, Xinglin Piao, Yongli Hu, Baocai Yin:
Multi-scale hypergraph-based feature alignment network for cell localization. Pattern Recognit. 149: 110260 (2024) - [j99]Yandong Bi, Huajie Jiang, Hanfu Zhang, Yongli Hu, Baocai Yin:
Self-supervised knowledge distillation in counterfactual learning for VQA. Pattern Recognit. Lett. 177: 33-39 (2024) - [j98]Jingcheng Wang, Yong Zhang, Yongli Hu, Baocai Yin:
Metro Flow Prediction With Hierarchical Hypergraph Attention Networks. IEEE Trans. Artif. Intell. 5(6): 3012-3021 (2024) - [j97]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) - [j96]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) - [j95]Shun Wang, Yong Zhang, Xuanqi Lin, Yongli Hu, Qingming Huang, Baocai Yin:
Dynamic Hypergraph Structure Learning for Multivariate Time Series Forecasting. IEEE Trans. Big Data 10(4): 556-567 (2024) - [j94]Mengshu Sun, Kaidi Xu, Xue Lin, Yongli Hu, Baocai Yin:
Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3027-3040 (2024) - [j93]Ming Wang, Yong Zhang, Xia Zhao, Yongli Hu, Baocai Yin:
Traffic Origin-Destination Demand Prediction via Multichannel Hypergraph Convolutional Networks. IEEE Trans. Comput. Soc. Syst. 11(4): 5496-5509 (2024) - [j92]Jingcheng Wang, Yong Zhang, Yongli Hu, Baocai Yin:
Large-Scale Traffic Prediction With Hierarchical Hypergraph Message Passing Networks. IEEE Trans. Comput. Soc. Syst. 11(6): 7103-7113 (2024) - [j91]Yandong Bi, Huajie Jiang, Yongli Hu, Yanfeng Sun, Baocai Yin:
See and Learn More: Dense Caption-Aware Representation for Visual Question Answering. IEEE Trans. Circuits Syst. Video Technol. 34(2): 1135-1146 (2024) - [j90]Yongli Hu, Lincong Feng, Huajie Jiang, Mengting Liu, Baocai Yin:
Domain-Aware Prototype Network for Generalized Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3180-3191 (2024) - [j89]Yandong Bi, Huajie Jiang, Yongli Hu, Yanfeng Sun, Baocai Yin:
Fair Attention Network for Robust Visual Question Answering. IEEE Trans. Circuits Syst. Video Technol. 34(9): 7870-7881 (2024) - [j88]Kan Guo, Daxin Tian, Yongli Hu, Chunmian Lin, Yanfeng Sun, Jianshan Zhou, Xuting Duan, Junbin Gao, Baocai Yin:
CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering. IEEE Trans. Circuits Syst. Video Technol. 34(11): 10538-10550 (2024) - [j87]Zhuangzhuang Miao, Yong Zhang, Hao Ren, Yongli Hu, Baocai Yin:
Multi-Level Dynamic Graph Convolutional Networks for Weakly Supervised Crowd Counting. IEEE Trans. Intell. Transp. Syst. 25(5): 3483-3495 (2024) - [j86]Xiulan Wei, Yong Zhang, Shaofan Wang, Xia Zhao, Yongli Hu, Baocai Yin:
Self-Attention Graph Convolution Imputation Network for Spatio-Temporal Traffic Data. IEEE Trans. Intell. Transp. Syst. 25(12): 19549-19562 (2024) - [j85]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) - [j84]Kai Sun, Huajie Jiang, Yongli Hu, Baocai Yin:
Incorporating Multi-Level Sampling with Adaptive Aggregation for Inductive Knowledge Graph Completion. ACM Trans. Knowl. Discov. Data 18(5): 128:1-128:16 (2024) - [j83]Xiaxia He, Boyue Wang, Junbin Gao, Qianqian Wang, Yongli Hu, Baocai Yin:
Mixed-Modality Clustering via Generative Graph Structure Matching. IEEE Trans. Knowl. Data Eng. 36(12): 8773-8786 (2024) - [j82]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) - [j81]Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin:
QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14018-14030 (2024) - [j80]Jing Liu, Hongchen Tan, Yongli Hu, Yanfeng Sun, Huasheng Wang, Baocai Yin:
Global and Local Interactive Perception Network for Referring Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17754-17767 (2024) - [c46]Heng Liu, Boyue Wang, Yanfeng Sun, Xiaoyan Li, Yongli Hu, Baocai Yin:
VIG: Visual Information-Guided Knowledge-Based Visual Question Answering. CSCWD 2024: 1086-1091 - [c45]Kai Sun, Huajie Jiang, Yongli Hu, Baocai Yin:
Generating Graph-Based Rules for Enhancing Logical Reasoning. ICIC (12) 2024: 143-156 - [c44]Yandong Bi, Huajie Jiang, Jing Liu, Mengting Liu, Yongli Hu, Baocai Yin:
VQA-PDF: Purifying Debiased Features for Robust Visual Question Answering Task. ICIC (12) 2024: 264-277 - [c43]Jing Liu, Huajie Jiang, Yandong Bi, Yongli Hu, Baocai Yin:
Referring Image Segmentation Without Text Annotations. ICIC (12) 2024: 278-293 - [c42]Zheng Cui, Yongli Hu, Jiapu Wang, Junbin Gao, Yanfeng Sun, Baocai Yin:
Common-Memory Bridged Cross-Modal Adaptive Graph Embedding for Image-Text Retrieval. ICME 2024: 1-6 - [i22]Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin:
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning. CoRR abs/2405.14170 (2024) - [i21]Kai Sun, Jiapu Wang, Huajie Jiang, Yongli Hu, Baocai Yin:
Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion. CoRR abs/2406.02205 (2024) - [i20]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) - [i19]Tengfei Liu, Jiapu Wang, Yongli Hu, Mingjie Li, Junfei Yi, Xiaojun Chang, Junbin Gao, Baocai Yin:
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. CoRR abs/2412.11070 (2024) - [i18]Baocai Yin, Ji Zhao, Huajie Jiang, Ningning Hou, Yongli Hu, Amin Beheshti, Ming-Hsuan Yang, Yuankai Qi:
Adapter-Enhanced Semantic Prompting for Continual Learning. CoRR abs/2412.11074 (2024) - 2023
- [j79]Yong Zhang, Chengyang Zhang, Bo Li, Yongli Hu, Baocai Yin:
Underwater autonomous grasping robot based on multi-stage Cascade DetNet. Artif. Life Robotics 28(2): 448-459 (2023) - [j78]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) - [j77]Jiaojiao Yuan, Yongli Hu, Yanfeng Sun, Baocai Yin:
A multi-scale feature representation and interaction network for underwater object detection. IET Comput. Vis. 17(3): 265-281 (2023) - [j76]Boyue Wang, Yujian Ma, Xiaoyan Li, Heng Liu, Yongli Hu, Baocai Yin:
DSGEM: Dual scene graph enhancement module-based visual question answering. IET Comput. Vis. 17(6): 638-651 (2023) - [j75]Qi Zhang, Yanfeng Sun, Yongli Hu, Shaofan Wang, Baocai Yin:
A subgraph sampling method for training large-scale graph convolutional network. Inf. Sci. 649: 119661 (2023) - [j74]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) - [j73]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) - [j72]Yanfeng Sun, Yunru Zhang, Huajie Jiang, Yongli Hu, Baocai Yin:
Multi-level attention for referring expression comprehension. Pattern Recognit. Lett. 172: 252-258 (2023) - [j71]Ye Yuan, Yong Zhang, Boyue Wang, Yuan Peng, Yongli Hu, Baocai Yin:
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation. IEEE Trans. Big Data 9(1): 200-211 (2023) - [j70]Yong Zhang, Xiulan Wei, Xinyu Zhang, Yongli Hu, Baocai Yin:
Self-Attention Graph Convolution Residual Network for Traffic Data Completion. IEEE Trans. Big Data 9(2): 528-541 (2023) - [j69]Mengran Li, Yong Zhang, Wei Zhang, Yi Chu, Yongli Hu, Baocai Yin:
Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning. IEEE Trans. Big Data 9(4): 1210-1224 (2023) - [j68]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) - [j67]Kai Sun, Huajie Jiang, Yongli Hu, Baocai Yin:
Substructure-aware subgraph reasoning for inductive relation prediction. J. Supercomput. 79(18): 21008-21027 (2023) - [j66]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) - [j65]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) - [j64]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) - [j63]Xiulan Wei, Yong Zhang, Yun Wei, Yongli Hu, Shuzhen Tong, Wei Huang, Jinde Cao:
Metro Passenger-Flow Representation via Dynamic Mode Decomposition and Its Application. IEEE Trans. Neural Networks Learn. Syst. 34(1): 157-170 (2023) - [j62]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) - [j61]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) - [c41]Xiaoyan Li, Gang Zhang, Boyue Wang, Yongli Hu, Baocai Yin:
Center Focusing Network for Real-Time LiDAR Panoptic Segmentation. CVPR 2023: 13425-13434 - [c40]Yu Wang, Zhenzhong Chu, Yongli Hu:
Path Planning of Unmanned Underwater Vehicles Based on Deep Reinforcement Learning Algorithm. ICARM 2023: 250-254 - [c39]Tengfei Liu, Yongli Hu, Puman Chen, Yanfeng Sun, Baocai Yin:
Zero-Shot Text Classification with Semantically Extended Textual Entailment. IJCNN 2023: 1-8 - [c38]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 - [i17]Jiapu Wang, Boyue Wang, Meikang Qiu, Shirui Pan, Bo Xiong, Heng Liu, Linhao Luo, Tengfei Liu, Yongli Hu, Baocai Yin, Wen Gao:
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects. CoRR abs/2308.02457 (2023) - [i16]Xiaoyan Li, Gang Zhang, Boyue Wang, Yongli Hu, Baocai Yin:
Center Focusing Network for Real-Time LiDAR Panoptic Segmentation. CoRR abs/2311.09499 (2023) - 2022
- [j60]Yanfeng Sun, Jie Wang, Jipeng Guo, Yongli Hu, Baocai Yin:
Globality constrained adaptive graph regularized non-negative matrix factorization for data representation. IET Image Process. 16(10): 2577-2592 (2022) - [j59]Boyue Wang, Yifan Wang, Xiaxia He, Yongli Hu, Baocai Yin:
Multi-graph convolutional clustering network. IET Signal Process. 16(6): 650-661 (2022) - [j58]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) - [j57]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) - [j56]Xia Zhao, Yong Zhang, Yongli Hu, Zhen Sean Qian, Hao Liu, Baocai Yin:
Modeling Relation Proximity of Passengers Using Public Transit Smart Card Data. IEEE Intell. Transp. Syst. Mag. 14(1): 163-172 (2022) - [j55]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) - [j54]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) - [j53]Yongli Hu, Hanfu Zhang, Huajie Jiang, Yandong Bi, Baocai Yin:
CGNN: Caption-assisted graph neural network for image-text retrieval. Pattern Recognit. Lett. 161: 137-142 (2022) - [j52]Fan Zhang, Na Liu, Yongli Hu, Fuqing Duan:
MFFNet: Single facial depth map refinement using multi-level feature fusion. Signal Process. Image Commun. 103: 116649 (2022) - [j51]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) - [j50]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) - [j49]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) - [j48]Guangyu Huo, Yong Zhang, Boyue Wang, Yongli Hu, Baocai Yin:
Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation. IEEE Trans. Intell. Transp. Syst. 23(3): 2623-2636 (2022) - [j47]Yang Wang, Yong Zhang, Lixun Wang, Yongli Hu, Baocai Yin:
Urban Traffic Pattern Analysis and Applications Based on Spatio-Temporal Non-Negative Matrix Factorization. IEEE Trans. Intell. Transp. Syst. 23(8): 12752-12765 (2022) - [j46]Jingcheng Wang, Yong Zhang, Lixun Wang, Yongli Hu, Xinglin Piao, Baocai Yin:
Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework. IEEE Trans. Intell. Transp. Syst. 23(10): 18557-18567 (2022) - [j45]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) - [j44]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) - [j43]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) - [c37]Mengran Li, Xinglin Piao, Yong Zhang, Yongli Hu, Baocai Yin:
SHCN: Self-supervised General Hypergraph Clustering Network. IEEE Big Data 2022: 1298-1303 - [c36]Yong Zhang, Xiulan Wei, Xinyu Zhang, Feng Lin, Yongli Hu, Baocai Yin:
Learnable Gated Graph Convolutional Residual Network for Traffic Prediction. CCIS 2022: 414-419 - [c35]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 - [c34]Jingcheng Wang, Yong Zhang, Yisheng Lv, Yongli Hu, Baocai Yin:
Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks. ITSC 2022: 1388-1393 - 2021
- [j42]Yongli Hu, Cuicui Luo, Boyue Wang, Junbin Gao, Yanfeng Sun, Baocai Yin:
Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser. IET Comput. Vis. 15(8): 618-632 (2021) - [j41]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Kronecker-decomposable robust probabilistic tensor discriminant analysis. Inf. Sci. 561: 196-210 (2021) - [j40]Yongli Hu, Zuolong Song, Boyue Wang, Junbin Gao, Yanfeng Sun, Baocai Yin:
AKM3C: Adaptive K-Multiple-Means for Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4214-4226 (2021) - [j39]Kan Guo, Yongli Hu, Sean Qian, Hao Liu, Ke Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin:
Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 22(2): 1138-1149 (2021) - [j38]Xia Zhao, Yong Zhang, Yongli Hu, Shun Wang, Yunhui Li, Sean Qian, Baocai Yin:
Interactive Visual Exploration of Human Mobility Correlation Based on Smart Card Data. IEEE Trans. Intell. Transp. Syst. 22(8): 4825-4837 (2021) - [j37]Yadong Yu, Yong Zhang, Sean Qian, Shaofan Wang, Yongli Hu, Baocai Yin:
A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 22(10): 6547-6560 (2021) - [j36]Jingcheng Wang, Yong Zhang, Yun Wei, Yongli Hu, Xinglin Piao, Baocai Yin:
Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks. IEEE Trans. Intell. Transp. Syst. 22(12): 7891-7903 (2021) - [j35]Shuai Yin, Yanfeng Sun, Junbin Gao, Yongli Hu, Boyue Wang, Baocai Yin:
Robust Image Representation via Low Rank Locality Preserving Projection. ACM Trans. Knowl. Discov. Data 15(4): 64:1-64:22 (2021) - [j34]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin:
Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering. IEEE Trans. Multim. 23: 216-227 (2021) - [j33]Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Xian Zhao, Yanfeng Sun, Yongli Hu, Jian Yu:
Robust CAPTCHAs Towards Malicious OCR. IEEE Trans. Multim. 23: 2575-2587 (2021) - [j32]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin:
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3484-3497 (2021) - [c33]Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin:
Hierarchical Graph Convolution Network for Traffic Forecasting. AAAI 2021: 151-159 - [c32]Yongli Hu, Feili Gao, Yanfeng Sun, Junbin Gao, Baocai Yin:
Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval. ICANN (3) 2021: 217-229 - [c31]Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin:
Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval. ICONIP (6) 2021: 417-424 - [c30]Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Attention Transformer Networks for Long Document Classification. IJCNN 2021: 1-7 - [c29]Jie Wang, Yanfeng Sun, Jipeng Guo, Yongli Hu, Baocai Yin:
Attributed Non-negative Matrix Multi-factorization for Data Representation. PRCV (4) 2021: 66-77 - [i15]Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin:
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering. CoRR abs/2101.06883 (2021) - 2020
- [j31]Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Locality preserving projection based on Euler representation. J. Vis. Commun. Image Represent. 70: 102796 (2020) - [j30]Yong Zhang, He Shi, Feifei Zhou, Yongli Hu, Baocai Yin:
Visual analysis method for abnormal passenger flow on urban metro network. J. Vis. 23(6): 1035-1052 (2020) - [j29]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint. ACM Trans. Knowl. Discov. Data 14(6): 75:1-75:20 (2020) - [c28]Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin:
Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. ACCV (5) 2020: 562-577 - [c27]Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin, Wenwu Zhu, Ge Li:
Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation. ICME 2020: 1-6 - [c26]Jipeng Guo, Shuai Yin, Yanfeng Sun, Yongli Hu:
Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation. ICPR 2020: 901-906 - [c25]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. ICPR 2020: 907-914 - [c24]Qiang Ji, Yanfeng Sun, Yongli Hu, Baocai Yin:
Variational Deep Embedding Clustering by Augmented Mutual Information Maximization. ICPR 2020: 2196-2202 - [c23]Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network. ICPR 2020: 8352-8359 - [c22]Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin:
A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint. ICPR 2020: 9392-9398 - [c21]Jiaming Zhang, Jitao Sang, Xian Zhao, Xiaowen Huang, Yanfeng Sun, Yongli Hu:
Adversarial Privacy-preserving Filter. ACM Multimedia 2020: 1423-1431 - [i14]Jiaming Zhang, Jitao Sang, Xian Zhao, Xiaowen Huang, Yanfeng Sun, Yongli Hu:
Adversarial Privacy-preserving Filter. CoRR abs/2007.12861 (2020)
2010 – 2019
- 2019
- [j28]Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder. IEEE Access 7: 74122-74133 (2019) - [j27]Jipeng Guo, Wenbin Yin, Yanfeng Sun, Yongli Hu:
Multi-View Subspace Clustering With Block Diagonal Representation. IEEE Access 7: 84829-84838 (2019) - [j26]Xibin Jia, Ya Jin, Xing Su, Yongli Hu:
Domain-invariant representation learning using an unsupervised domain adversarial adaptation deep neural network. Neurocomputing 355: 209-220 (2019) - [j25]Xia Zhao, Yong Zhang, Hao Liu, Shaofan Wang, Zhen Sean Qian, Yongli Hu, Baocai Yin:
Detecting Pickpocketing Gangs on Buses with Smart Card Data. IEEE Intell. Transp. Syst. Mag. 11(3): 181-199 (2019) - [j24]Yang Wang, Yong Zhang, Zhen Sean Qian, Shaofan Wang, Yongli Hu, Baocai Yin:
Multi-Source Traffic Data Reconstruction Using Joint Low-Rank and Fundamental Diagram Constraints. IEEE Intell. Transp. Syst. Mag. 11(3): 221-234 (2019) - [j23]Guoqing Ren, Yong Zhang, Hao Liu, Ke Zhang, Yongli Hu:
A New Lane-Changing Model with Consideration of Driving Style. Int. J. Intell. Transp. Syst. Res. 17(3): 181-189 (2019) - [j22]Haoran Chen, Jinghua Li, Junbin Gao, Yanfeng Sun, Yongli Hu, Baocai Yin:
Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning. ACM Trans. Knowl. Discov. Data 13(4): 39:1-39:17 (2019) - [j21]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Solving Partial Least Squares Regression via Manifold Optimization Approaches. IEEE Trans. Neural Networks Learn. Syst. 30(2): 588-600 (2019) - [j20]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2938-2950 (2019) - [c20]Weinan Du, Yanfeng Sun, Yongli Hu:
L1 norm based double-prior learning for image denoising. AIPR 2019: 93-96 - [c19]Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering. CVPR 2019: 12075-12084 - [c18]Tianhang Long, Junbin Gao, Mingyan Yang, Yongli Hu, Baocai Yin:
Locality Preserving Projection via Deep Neural Network. IJCNN 2019: 1-8 - [i13]Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Yongli Hu, Yanfeng Sun, Jian Yu:
blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness. CoRR abs/1904.09804 (2019) - 2018
- [j19]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning. Neurocomputing 291: 59-70 (2018) - [j18]Boyue Wang, Yongli Hu, Junbin Gao, Muhammad Ali, David Tien, Yanfeng Sun, Baocai Yin:
Low Rank Representation on SPD matrices with Log-Euclidean metric. Pattern Recognit. 76: 623-634 (2018) - [j17]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Localized LRR on Grassmann Manifold: An Extrinsic View. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2524-2536 (2018) - [j16]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds. ACM Trans. Knowl. Discov. Data 12(1): 13:1-13:22 (2018) - [j15]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4579-4592 (2018) - [c17]Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Locality Preserving Projection Based on F-norm. AAAI 2018: 1330-1337 - [c16]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. IJCAI 2018: 2755-2761 - 2017
- [j14]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance. IEEE Trans. Circuits Syst. Video Technol. 27(3): 554-566 (2017) - [c15]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju:
L1-2DPCA Revisit via Optimization on Product Manifolds. DICTA 2017: 1-7 - [c14]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali, Baocai Yin:
Locality Preserving Projections for Grassmann manifold. IJCAI 2017: 2893-2900 - [c13]Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin:
Matrix variate RBM model with Gaussian distributions. IJCNN 2017: 808-815 - [i12]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Baocai Yin:
Locality Preserving Projections for Grassmann manifold. CoRR abs/1704.08458 (2017) - [i11]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Localized LRR on Grassmann Manifolds: An Extrinsic View. CoRR abs/1705.06599 (2017) - [i10]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. CoRR abs/1707.00380 (2017) - 2016
- [j13]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Nonparametric tensor dictionary learning with beta process priors. Neurocomputing 218: 120-130 (2016) - [j12]Xinglin Piao, Yong Zhang, Tingshu Li, Yongli Hu, Hao Liu, Ke Zhang, Yun Ge:
RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint. Sensors 16(11): 1845 (2016) - [j11]Fei Wu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Ordered Subspace Clustering With Block-Diagonal Priors. IEEE Trans. Cybern. 46(12): 3209-3219 (2016) - [j10]Lu Zhao, Yong Zhang, Baocai Yin, Yanfeng Sun, Yongli Hu, Xinglin Piao, Qianjun Wu:
Fisher discrimination-based l2, 1-norm sparse representation for face recognition. Vis. Comput. 32(9): 1165-1178 (2016) - [c12]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Product Grassmann Manifold Representation and Its LRR Models. AAAI 2016: 2122-2129 - [c11]Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin:
Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis. CVPR 2016: 4462-4470 - [c10]Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li:
Matrix Variate Restricted Boltzmann Machine. IJCNN 2016: 389-395 - [i9]Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li:
Matrix Variate RBM and Its Applications. CoRR abs/1601.00722 (2016) - [i8]Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu:
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis. CoRR abs/1601.01431 (2016) - [i7]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Kernelized LRR on Grassmann Manifolds for Subspace Clustering. CoRR abs/1601.02124 (2016) - [i6]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds. CoRR abs/1601.05613 (2016) - [i5]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance. CoRR abs/1606.03838 (2016) - [i4]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications. CoRR abs/1609.06434 (2016) - 2015
- [j9]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA. IEEE Trans. Image Process. 24(12): 4834-4846 (2015) - [i3]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Kernelized Low Rank Representation on Grassmann Manifolds. CoRR abs/1504.01806 (2015) - [i2]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective. CoRR abs/1504.01807 (2015) - [i1]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu:
Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation. CoRR abs/1512.01927 (2015) - 2014
- [j8]Fuqing Duan, Sen Yang, Donghua Huang, Yongli Hu, Zhongke Wu, Mingquan Zhou:
Craniofacial reconstruction based on multi-linear subspace analysis. Multim. Tools Appl. 73(2): 809-823 (2014) - [j7]Yanfeng Sun, Huajie Jia, Yongli Hu, Baocai Yin:
Color face recognition based on color image correlation similarity discriminant model. Multim. Tools Appl. 73(3): 2063-2079 (2014) - [j6]Xinglin Piao, Yongli Hu, Yanfeng Sun, Baocai Yin, Junbin Gao:
Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling. Sensors 14(12): 23137-23158 (2014) - [c9]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Low Rank Representation on Grassmann Manifolds. ACCV (1) 2014: 81-96 - 2013
- [j5]Yongli Hu, Fuqing Duan, Baocai Yin, Mingquan Zhou, Yanfeng Sun, Zhongke Wu, Guohua Geng:
A hierarchical dense deformable model for 3D face reconstruction from skull. Multim. Tools Appl. 64(2): 345-364 (2013) - [j4]Hengliang Tang, Baocai Yin, Yanfeng Sun, Yongli Hu:
3D face recognition using local binary patterns. Signal Process. 93(8): 2190-2198 (2013) - [c8]Xinglin Piao, Yongli Hu, Yanfeng Sun, Baocai Yin:
Efficient Data Gathering in Wireless Sensor Networks Based on Low Rank Approximation. GreenCom/iThings/CPScom 2013: 699-706 - [c7]Xien Liu, Yanfeng Sun, Yongli Hu, Baocai Yin:
A robust sparse representation framework for depth map restoration. ICME Workshops 2013: 1-4 - 2012
- [j3]Yongli Hu, Fuqing Duan, Mingquan Zhou, Yanfeng Sun, Baocai Yin:
Craniofacial reconstruction based on a hierarchical dense deformable model. EURASIP J. Adv. Signal Process. 2012: 217 (2012) - [c6]Wenyu Qin, Yongli Hu, Yanfeng Sun, Baocai Yin:
An Automatic Multi-sample 3D Face Registration Method Based on Thin Plate Spline and Deformable Model. ICME Workshops 2012: 453-458 - 2011
- [c5]Yanfeng Sun, Jiangang Zhao, Yongli Hu:
Supervised sparsity preserving projections for face recognition. ICDIP 2011: 80092D
2000 – 2009
- 2009
- [j2]Shen Jean Lim, Asif Mohammad Khan, Mark De Silva, Kuan Siong Lim, Yongli Hu, Chay Hoon Tan, Tin Wee Tan:
The implementation of e-learning tools to enhance undergraduate bioinformatics teaching and learning: a case study in the National University of Singapore. BMC Bioinform. 10(S-15): 12 (2009) - [j1]Yongli Hu, Mingquan Zhou, Zhongke Wu:
A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation. Int. J. Comput. Games Technol. 2009: 609350:1-609350:9 (2009) - [c4]Yongli Hu, Mingquan Zhou, Zhongke Wu:
An Automatic Non-rigid Point Matching Method for Dense 3D Face Scans. ICCSA Workshops 2009: 215-221 - 2005
- [c3]Yongli Hu, Baocai Yin, Yanfeng Sun:
Multi-lighting 3D face morphable model based on mesh resampling. ICASSP (2) 2005: 1121-1124 - 2004
- [c2]Chunliang Gu, Baocai Yin, Yongli Hu, Shiquan Cheng:
Resampling Based Method for Pixel-wise Correspondence between 3D Faces. ITCC (1) 2004: 614-619 - 2003
- [c1]Yongli Hu, Baocai Yin, Dehui Kong:
A New Facial Feature Extraction Method Based on Linear Combination Model . Web Intelligence 2003: 520-523
Coauthor Index
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