Bin Wang

Orcid: 0000-0001-5265-1030

Affiliations:

Southwest Jiaotong University, School of Information Science and Technology, Institute of Artificial Intelligence, Chengdu, China
University of Technology Sydney, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, Sydney, Australia

According to our database¹, Bin Wang authored at least 16 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

HiSTGNN: Hierarchical spatio-temporal graph neural network for weather forecasting.

[BibT_eX]

[DOI]

Inf. Sci., November, 2023

Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

DeepNWP4Wind: A Wind Forcasting Correction Solution in View of Multi-Criteria Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

2022

Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

A quantile fusion methodology for deep forecasting.

[BibT_eX]

[DOI]

Neurocomputing, 2022

2021

ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Dynamic maintenance of rough approximations in multi-source hybrid information systems.

[BibT_eX]

[DOI]

Inf. Sci., 2020

DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning.

[BibT_eX]

[DOI]

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019

Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting.

[BibT_eX]

[DOI]

CoRR, 2018

Explore Uncertainty in Residual Networks for Crowds Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Multi-task Learning for Air Quality Prediction.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

An incremental attribute reduction approach based on knowledge granularity with a multi-granulation view.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Diverse activation functions in deep learning.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Bin Wang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...