Jiaxuan Wang
Orcid: 0000-0001-9341-8606
According to our database1,
Jiaxuan Wang
authored at least 23 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
Phys. Commun., October, 2023
Real-time traffic sign detection model based on multi-branch convolutional reparameterization.
J. Real Time Image Process., June, 2023
A Cylindrical Near-Field Acoustical Holography Method Based on Cylindrical Translation Window Expansion and an Autoencoder Stacked with 3D-CNN Layers.
Sensors, 2023
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023
Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 2023 Australasian Computer Science Week, 2023
2022
Algorithm/Hardware Codesign for Real-Time On-Satellite CNN-Based Ship Detection in SAR Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
Short-term passenger flow forecasting using CEEMDAN meshed CNN-LSTM-attention model under wireless sensor network.
IET Commun., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022
Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
2019
A knowledge discovery and reuse method for time estimation in ship block manufacturing planning using DEA.
Adv. Eng. Informatics, 2019
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series.
Proceedings of the Machine Learning for Healthcare Conference, 2019
2018
The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA.
CoRR, 2018
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks.
Proceedings of the Machine Learning for Healthcare Conference, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015