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2020 – today
- 2024
[j23]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)- [j22]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) - [j21]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) - [j20]Xuanqi Lin, Yong Zhang, Shun Wang, Xinglin Piao, Baocai Yin:
Multiagent trajectory prediction with global-local scene-enhanced social interaction graph network. Comput. Animat. Virtual Worlds 35(3) (2024) - [j19]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) - [j18]Mengran Li, Yong Zhang, Wei Zhang, Shiyu Zhao, Xinglin Piao, Baocai Yin:
CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks. IEEE Trans. Comput. Soc. Syst. 11(2): 2277-2290 (2024) - [j17]Shiyu Zhao, Yong Zhang, Mengran Li, Xinglin Piao, Baocai Yin:
Contextual Semantics Interaction Graph Embedding Learning for Recommender Systems. IEEE Trans. Comput. Soc. Syst. 11(5): 6333-6346 (2024) - [j16]Zhuangzhuang Miao, Yong Zhang, Jiayi Wu, Guodong Jing, Xinglin Piao, Baocai Yin:
Multi-Information Aggregation and Estrangement HyperGraph Convolutional Networks for Spatiotemporal Weather Forecasting. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j15]Xiaoni Sun, Yong Zhang, Xinglin Piao, Jiayi Wu, Guodong Jing, Baocai Yin:
PN-HGNN: Precipitation Nowcasting Network Via Hypergraph Neural Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j14]Chengyang Zhang, Yong Zhang, Qitan Shao, Jiangtao Feng, Bo Li, Yisheng Lv, Xinglin Piao, Baocai Yin:
BjTT: A Large-Scale Multimodal Dataset for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 25(11): 18992-19003 (2024) - [j13]Chengyang Zhang, Yong Zhang, Bo Li, Xinglin Piao, Baocai Yin:
CrowdGraph: Weakly supervised Crowd Counting via Pure Graph Neural Network. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 135:1-135:23 (2024) - [i2]Chengyang Zhang, Yong Zhang, Qitan Shao, Jiangtao Feng, Bo Li, Yisheng Lv, Xinglin Piao, Baocai Yin:
BjTT: A Large-scale Multimodal Dataset for Traffic Prediction. CoRR abs/2403.05029 (2024) - 2023
- [j12]Zhuangzhuang Miao, Yong Zhang, Xinglin Piao, Yi Chu, Baocai Yin:
Region feature smoothness assumption for weakly semi-supervised crowd counting. Comput. Animat. Virtual Worlds 34(3-4) (2023) - [j11]Fujiao Ju, Yanfeng Sun, Jianqiang Li, Yaxiao Zhang, Xinglin Piao:
Principal component analysis based on graph embedding. Multim. Tools Appl. 82(5): 7105-7116 (2023) - [i1]Chengyang Zhang, Yong Zhang, Qitan Shao, Bo Li, Yisheng Lv, Xinglin Piao, Baocai Yin:
ChatTraffic: Text-to-Traffic Generation via Diffusion Model. CoRR abs/2311.16203 (2023) - 2022
- [j10]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) - [c6]Mengran Li, Xinglin Piao, Yong Zhang, Yongli Hu, Baocai Yin:
SHCN: Self-supervised General Hypergraph Clustering Network. IEEE Big Data 2022: 1298-1303 - 2021
- [j9]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) - 2020
- [j8]Zhaoxuan Zhang, Kun Li, Xuefeng Yin, Xinglin Piao, Yuxin Wang, Xin Yang, Baocai Yin:
Point cloud semantic scene segmentation based on coordinate convolution. Comput. Animat. Virtual Worlds 31(4-5) (2020) - [c5]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 - [c4]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 - [c3]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
2010 – 2019
- 2019
- [j7]Xin Yang, Dawei Wang, Wenbo Hu, Lijing Zhao, Xinglin Piao, Dongsheng Zhou, Qiang Zhang, Baocai Yin, Qiang Cai, Xiaopeng Wei:
Fast Reconstruction for Monte Carlo Rendering Using Deep Convolutional Networks. IEEE Access 7: 21177-21187 (2019) - [j6]Xin Yang, Yuliang Wang, Shuai Li, Xinglin Piao, Baocai Yin, Qiang Zhang, Dongsheng Zhou, Xiaopeng Wei:
Real-virtual consistent traffic flow interaction. Graph. Model. 106 (2019) - [j5]Xin Yang, Haoran Wang, Shaozhe Chen, Xinglin Piao, Dongsheng Zhou, Qiang Zhang, Baocai Yin, Xiaopeng Wei:
Cascaded network with deep intensity manipulation for scene understanding. Comput. Animat. Virtual Worlds 30(3-4) (2019) - [j4]Yang Wang, Yong Zhang, Xinglin Piao, Hao Liu, Ke Zhang:
Traffic Data Reconstruction via Adaptive Spatial-Temporal Correlations. IEEE Trans. Intell. Transp. Syst. 20(4): 1531-1543 (2019) - [c2]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 - 2016
- [j3]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) - [j2]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) - 2014
- [j1]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) - 2013
- [c1]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
Coauthor Index
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