Xinjun Zhu
Orcid: 0009-0007-3711-8079
According to our database1,
Xinjun Zhu
authored at least 18 papers
between 2018 and 2025.
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Collaborative distances:
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Bibliography
2025
A CAM-UNet for pose determination of supercapacitor cell module assembly based on monocular vision.
Ind. Robot, 2025
2023
IEEE Trans. Knowl. Data Eng., October, 2023
Early warning of reciprocating compressor valve fault based on deep learning network and multi-source information fusion.
Trans. Inst. Meas. Control, February, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
2022
3-D Reconstruction of Bubble Flow Field Based on the Method of Multivision by Rough-Precise Location Algebraic Reconstruction Technique.
IEEE Trans. Instrum. Meas., 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Multi-objective optimization design of cement grate cooler control system based on improved long short-term memory network.
Trans. Inst. Meas. Control, 2021
Hformer: Hybrid CNN-Transformer for Fringe Order Prediction in Phase Unwrapping of Fringe Projection.
CoRR, 2021
2019
Sensors, 2019
Three-dimensional measurement with reflection suppression based on high-dynamic range images.
J. Electronic Imaging, 2019
Fault Diagnosis of Reciprocating Compressor Using Component Estimating Empirical Mode Decomposition and De-Dimension Template With Double-Loop Correction Algorithm.
IEEE Access, 2019
IEEE Access, 2019
2018
Assessment of Fringe Pattern Decomposition with a Cross-Correlation Index for Phase Retrieval in Fringe Projection 3D Measurements.
Sensors, 2018
Detection of Micro-Defects on Metal Screw Surfaces Based on Deep Convolutional Neural Networks.
Sensors, 2018
Sensors, 2018