Xin Bi

Orcid: 0000-0002-2645-1112

According to our database1, Xin Bi authored at least 50 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
Multi-temporal heterogeneous graph learning with pattern-aware attention for industrial chain risk detection.
World Wide Web (WWW), July, 2024

A deformable convolutional time-series prediction network with extreme peak and interval calibration.
GeoInformatica, April, 2024

Pedagogical sentiment analysis based on the BERT-CNN-BiGRU-attention model in the context of intercultural communication barriers.
PeerJ Comput. Sci., 2024

TiFLCS-MARP: Client selection and model pricing for federated learning in data markets.
Expert Syst. Appl., 2024

Social network node pricing based on graph autoencoder in data marketplaces.
Expert Syst. Appl., 2024

2023
Correlation embedding learning with dynamic semantic enhanced sampling for knowledge graph completion.
World Wide Web (WWW), September, 2023

Structure-adaptive graph neural network with temporal representation and residual connections.
World Wide Web (WWW), September, 2023

A new point-of-interest group recommendation method in location-based social networks.
Neural Comput. Appl., June, 2023

Temporal-structural importance weighted graph convolutional network for temporal knowledge graph completion.
Future Gener. Comput. Syst., June, 2023

EDense: a convolutional neural network with ELM-based dense connections.
Neural Comput. Appl., February, 2023

A positive and unlabeled learning framework based on extreme learning machine for drug-drug interactions discovery.
J. Ambient Intell. Humaniz. Comput., 2023

Boosting question answering over knowledge graph with reward integration and policy evaluation under weak supervision.
Inf. Process. Manag., 2023

Radar and Camera Fusion Dehazing for Road Vehicle Detection in Haze Weather.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

MEERL: Maximum Experience Entropy Reinforcement Learning Method for Navigation and Control of Automated Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Towards Time-Series Key Points Detection Through Self-supervised Learning and Probability Compensation.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
An Uncertainty-based Neural Network for Explainable Trajectory Segmentation.
ACM Trans. Intell. Syst. Technol., 2022

Multi-Modal Vehicle Trajectory Prediction by Collaborative Learning of Lane Orientation, Vehicle Interaction, and Intention.
Sensors, 2022

Moving Object Detection Based on Fusion of Depth Information and RGB Features.
Sensors, 2022

Unrestricted multi-hop reasoning network for interpretable question answering over knowledge graph.
Knowl. Based Syst., 2022

CASA-Net: A Context-Aware Correlation Convolutional Network for Scale-Adaptive Crack Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Long-Term Time Series Prediction with Extreme Peak and Interval Calibration.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

2021
3D Pedestrian Detection in Farmland by Monocular RGB Image and Far-Infrared Sensing.
Remote. Sens., 2021

Explainable time-frequency convolutional neural network for microseismic waveform classification.
Inf. Sci., 2021

Time-Series Graph Network for Sea Surface Temperature Prediction.
Big Data Res., 2021

Pedestrian Detection by Fusion of RGB and Infrared Images in Low-Light Environment.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
An event recommendation model using ELM in event-based social network.
Neural Comput. Appl., 2020

Social-aware spatial keyword top-k group query.
Distributed Parallel Databases, 2020

GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification.
Complex., 2020

Rising Star Evaluation Based on Extreme Learning Machine in Geo-Social Networks.
Cogn. Comput., 2020

Functional Brain Network Classification for Alzheimer's Disease Detection with Deep Features and Extreme Learning Machine.
Cogn. Comput., 2020

CODES: Efficient Incremental Semi-Supervised Classification Over Drifting and Evolving Social Streams.
IEEE Access, 2020

Efficient Learning of Big ECG Data for Ventricular Fibrillation Warning.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Frequent Semantic Trajectory Sequence Pattern Mining in Location-Based Social Networks.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Big graph classification frameworks based on Extreme Learning Machine.
Neurocomputing, 2019

LDPart: Effective Location-Record Data Publication via Local Differential Privacy.
IEEE Access, 2019

2018
A New Point-of-Interest Classification Model with an Extreme Learning Machine.
Cogn. Comput., 2018

Trust-Aware Personalized Route Query Using Extreme Learning Machine in Location-Based Social Networks.
Cogn. Comput., 2018

Rising Star Classification Based on Extreme Learning Machine.
Proceedings of ELM 2018, 2018

Personalized Geo-Social Group Queries in Location-Based Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

Multi-location Influence Maximization in Location-Based Social Networks.
Proceedings of the Web and Big Data, 2018

2017
Efficient Processing of Distributed Twig Queries Based on Node Distribution.
J. Comput. Sci. Technol., 2017

2016
Uncertain XML documents classification using Extreme Learning Machine.
Neurocomputing, 2016

2015
Distributed Extreme Learning Machine with kernels based on MapReduce.
Neurocomputing, 2015

Distributed XML Twig Query Processing Using MapReduce.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
Probability based voting extreme learning machine for multiclass XML documents classification.
World Wide Web, 2014

The Application of Independent Component Analysis Method on the Mura Defect Inspection of LCD Process.
Proceedings of the Intelligent Robotics and Applications - 7th International Conference, 2014

Efficient Processing of Probabilistic Group Nearest Neighbor Query on Uncertain Data.
Proceedings of the Database Systems for Advanced Applications, 2014

2011
XML document classification based on ELM.
Neurocomputing, 2011

2009
A New Mura Defect Inspection Way for TFT-LCD Using Level Set Method.
IEEE Signal Process. Lett., 2009

2008
Detection of Local Mura Defects in TFT-LCD Using Machine Vision.
Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008


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