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Wenze Zhang's 10 research works with 34 citations and 501 reads, including: Efficient skeleton curve-guided five-axis sweep scanning based on optimal traversing of multiple connected skeleton...
Semi-supervised text classification-based paradigms (SSTC) typically employ the spirit of self-training. The key idea is to train a deep classifier on limited labeled texts and then iteratively predict the unlabeled texts as their pseudo-labels for further training.
Distributed Particle Swarm Optimization for the Planning of Time-Optimal and Interference-Free Five-Axis Sweep Scanning Path. IEEE Trans. Ind. Informatics 18 ( 12): 8703-8713 ( 2022) [i1] Ahmed Murtadha, Shengfeng Pan, Bo Wen, Jianlin Su, Wenze Zhang, Yunfeng Liu:
Adaptive Five-Axis Scanning of Deformed Surfaces Based on Real-Time Path Planning. IEEE Transactions on Instrumentation and Measurement. 2023 | Journal article. DOI: 10.1109/TIM.2023.3271007. Contributors : Wenze Zhang; Weiwei Huang; Yijun Shen; Yaqi Zhang; Limin Zhu; Yang Zhang. Show more detail.
Jul 1, 2023 · WenZe Zhang, Prof. Jiangwei Tian, and Prof. Dr. Hai-Jun Xu contributed for the writing-original draft and writing-reviews & editing. The manuscript was well discussed by all of these authors. CRediT authorship contribution statement
Wenze Zhang. Mathematics Department, University College London, London WC1E 6AE, UK w.zhang.20@ucl.ac.uk. ABSTRACT. Remote sensing has significantly progressed and are becoming more readily available than ever. There is a growing requirement for the automatic recognition and labelling of these images under various conditions.
Mar 16, 1997 · Wenze Zhang - Mixed-method UX researcher - Meta | LinkedIn. User Experience Researcher. New York, New York, United States. 457 followers 456 connections. View mutual connections with...
