Efficient Data Gathering in Wireless Sensor Networks Based on Low Rank Approximation. - Xinglin Piao; Yongli Hu; Yanfeng Sun; Baocai Yin (GreenCom/iThings/CPScom, 2013)

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)

RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint. - Xinglin Piao; Yong Zhang 029; Tingshu Li; Yongli Hu; Hao Liu 040; Ke Zhang 016; Yun Ge (Sensors, 2016)

Fisher discrimination-based l2, 1-norm sparse representation for face recognition. - Lu Zhao; Yong Zhang 029; Baocai Yin; Yanfeng Sun; Yongli Hu; Xinglin Piao; Qianjun Wu (Vis. Comput., 2016)

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CVPR, 2019)

Fast Reconstruction for Monte Carlo Rendering Using Deep Convolutional Networks. - Xin Yang 011; Dawei Wang; Wenbo Hu 002; Lijing Zhao; Xinglin Piao; Dongsheng Zhou; Qiang Zhang 008; Baocai Yin; Qiang Cai; Xiaopeng Wei (IEEE Access, 2019)

Real-virtual consistent traffic flow interaction. - Xin Yang 011; Yuliang Wang; Shuai Li 014; Xinglin Piao; Baocai Yin; Qiang Zhang 008; Dongsheng Zhou; Xiaopeng Wei (Graph. Model., 2019)

Cascaded network with deep intensity manipulation for scene understanding. - Xin Yang 011; Haoran Wang; Shaozhe Chen; Xinglin Piao; Dongsheng Zhou; Qiang Zhang 008; Baocai Yin; Xiaopeng Wei (Comput. Animat. Virtual Worlds, 2019)

Traffic Data Reconstruction via Adaptive Spatial-Temporal Correlations. - Yang Wang 068; Yong Zhang 029; Xinglin Piao; Hao Liu 040; Ke Zhang 016 (IEEE Trans. Intell. Transp. Syst., 2019)

Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Xin Yang 011; Baocai Yin (ACCV (5), 2020)

Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Xin Yang 011; Baocai Yin; Wenwu Zhu 001; Ge Li 002 (ICME, 2020)

A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Xin Yang 011; Baocai Yin (ICPR, 2020)

Point cloud semantic scene segmentation based on coordinate convolution. - Zhaoxuan Zhang; Kun Li; Xuefeng Yin; Xinglin Piao; Yuxin Wang 001; Xin Yang 011; Baocai Yin (Comput. Animat. Virtual Worlds, 2020)

Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks. - Jingcheng Wang; Yong Zhang 029; Yun Wei; Yongli Hu; Xinglin Piao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

SHCN: Self-supervised General Hypergraph Clustering Network. - Mengran Li 001; Xinglin Piao; Yong Zhang 029; Yongli Hu; Baocai Yin (IEEE Big Data, 2022)

Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework. - Jingcheng Wang; Yong Zhang 029; Lixun Wang; Yongli Hu; Xinglin Piao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2022)

Region feature smoothness assumption for weakly semi-supervised crowd counting. - Zhuangzhuang Miao; Yong Zhang 029; Xinglin Piao; Yi Chu; Baocai Yin (Comput. Animat. Virtual Worlds, 2023)

Principal component analysis based on graph embedding. - Fujiao Ju; Yanfeng Sun; Jianqiang Li; Yaxiao Zhang; Xinglin Piao (Multim. Tools Appl., 2023)

Hypergraph Association Weakly Supervised Crowd Counting. - Bo Li 128; Yong Zhang 029; Chengyang Zhang; Xinglin Piao; Baocai Yin (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Data-unbalanced traffic accident prediction via adaptive graph and self-supervised learning. - Shun Wang 004; Yong Zhang 029; Xinglin Piao; Xuanqi Lin; Yongli Hu; Baocai Yin (Appl. Soft Comput., 2024)

Text-guided Zero-Shot Object Localization. - Jingjing Wang; Xinglin Piao; Zongzhi Gao; Bo Li; Yong Zhang; Baocai Yin (CoRR, 2024)

Multiagent trajectory prediction with global-local scene-enhanced social interaction graph network. - Xuanqi Lin; Yong Zhang 029; Shun Wang 004; Xinglin Piao; Baocai Yin (Comput. Animat. Virtual Worlds, 2024)

Multi-scale hypergraph-based feature alignment network for cell localization. - Bo Li 128; Yong Zhang 029; Chengyang Zhang; Xinglin Piao; Yongli Hu; Baocai Yin (Pattern Recognit., 2024)

Multi-Information Aggregation and Estrangement HyperGraph Convolutional Networks for Spatiotemporal Weather Forecasting. - Zhuangzhuang Miao; Yong Zhang 029; Jiayi Wu; Guodong Jing; Xinglin Piao; Baocai Yin (IEEE Trans. Geosci. Remote. Sens., 2024)

PN-HGNN: Precipitation Nowcasting Network Via Hypergraph Neural Networks. - Xiaoni Sun; Yong Zhang 029; Xinglin Piao; Jiayi Wu; Guodong Jing; Baocai Yin (IEEE Trans. Geosci. Remote. Sens., 2024)

Cross-modal fusion encoder via graph neural network for referring image segmentation. - Yuqing Zhang; Yong Zhang 029; Xinglin Piao; Peng Yuan; Yongli Hu; Baocai Yin (IET Image Process., 2024)

CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks. - Mengran Li 001; Yong Zhang 029; Wei Zhang; Shiyu Zhao; Xinglin Piao; Baocai Yin (IEEE Trans. Comput. Soc. Syst., 2024)

CrowdGraph: Weakly supervised Crowd Counting via Pure Graph Neural Network. - Chengyang Zhang; Yong Zhang 029; Bo Li 128; Xinglin Piao; Baocai Yin (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Contextual Semantics Interaction Graph Embedding Learning for Recommender Systems. - Shiyu Zhao; Yong Zhang 029; Mengran Li 001; Xinglin Piao; Baocai Yin (IEEE Trans. Comput. Soc. Syst., 2024)

BjTT: A Large-Scale Multimodal Dataset for Traffic Prediction. - Chengyang Zhang; Yong Zhang 029; Qitan Shao; Jiangtao Feng; Bo Li 128; Yisheng Lv; Xinglin Piao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 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 029 (J. Big Data, 2024)

MRAGNN: Refining urban spatio-temporal prediction of crime occurrence with multi-type crime correlation learning. - Shun Wang 004; Yong Zhang 029; Xinglin Piao; Xuanqi Lin; Yongli Hu; Baocai Yin (Expert Syst. Appl., 2025)

SHKD: A framework for traffic prediction based on Sub-Hypergraph and Knowledge Distillation. - Xiangyu Yao; Xinglin Piao; Qitan Shao; Yongli Hu; Baocai Yin; Yong Zhang 029 (Knowl. Based Syst., 2025)

Advancing Radar Echo Extrapolation With Hypergraph-Enhanced Latent Diffusion Model. - Xiaoni Sun; Yong Zhang 029; Xin Di; Xinglin Piao; Fei Wang; Guodong Jing; Dawei Lin; Baocai Yin (IEEE Trans. Geosci. Remote. Sens., 2025)

CMDNet: A Cross-Modality Spatiotemporal Graph Network for Enhanced Air Pollution Prediction With High-Resolution Satellite Data. - Shun Wang 004; Yong Zhang 029; Xuanqi Lin; Xinglin Piao; Yongli Hu; Baocai Yin (IEEE Trans. Geosci. Remote. Sens., 2025)

ChatTraffic: Text-to-Traffic Generation via Diffusion Model. - Chengyang Zhang; Yong Zhang 029; Qitan Shao; Bo Li 128; Yisheng Lv; Xinglin Piao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2025)