Bin Wang
Orcid: 0000-0001-5265-1030Affiliations:
- 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 20 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
ACM Trans. Inf. Syst., July, 2024
Knowl. Based Syst., 2024
CoRR, 2024
Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Inf. Sci., November, 2023
Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE.
Knowl. Based Syst., 2023
DeepNWP4Wind: A Wind Forcasting Correction Solution in View of Multi-Criteria Evaluation.
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.
IEEE Trans. Intell. Transp. Syst., 2022
2021
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors.
CoRR, 2021
2020
Dynamic maintenance of rough approximations in multi-source hybrid information systems.
Inf. Sci., 2020
DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting.
Neurocomputing, 2020
Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020
2019
IEEE ACM Trans. Audio Speech Lang. Process., 2019
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
CoRR, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
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.
Inf. Sci., 2017
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017