Xinglin Piao

Orcid: 0000-0003-2542-6481

According to our database1, Xinglin Piao authored at least 23 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CrowdGraph: Weakly supervised Crowd Counting via Pure Graph Neural Network.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks.
IEEE Trans. Comput. Soc. Syst., April, 2024

Cross-modal fusion encoder via graph neural network for referring image segmentation.
IET Image Process., March, 2024

BjTT: A Large-scale Multimodal Dataset for Traffic Prediction.
CoRR, 2024

2023
Principal component analysis based on graph embedding.
Multim. Tools Appl., February, 2023

Region feature smoothness assumption for weakly semi-supervised crowd counting.
Comput. Animat. Virtual Worlds, 2023

ChatTraffic: Text-to-Traffic Generation via Diffusion Model.
CoRR, 2023

2022
Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework.
IEEE Trans. Intell. Transp. Syst., 2022

SHCN: Self-supervised General Hypergraph Clustering Network.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Point cloud semantic scene segmentation based on coordinate convolution.
Comput. Animat. Virtual Worlds, 2020

A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Traffic Data Reconstruction via Adaptive Spatial-Temporal Correlations.
IEEE Trans. Intell. Transp. Syst., 2019

Cascaded network with deep intensity manipulation for scene understanding.
Comput. Animat. Virtual Worlds, 2019

Real-virtual consistent traffic flow interaction.
Graph. Model., 2019

Fast Reconstruction for Monte Carlo Rendering Using Deep Convolutional Networks.
IEEE Access, 2019

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2016
Fisher discrimination-based l<sub>2, 1</sub>-norm sparse representation for face recognition.
Vis. Comput., 2016

RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint.
Sensors, 2016

2014
Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling.
Sensors, 2014

2013
Efficient Data Gathering in Wireless Sensor Networks Based on Low Rank Approximation.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013


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