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pro vyhledávání: '"Wang, Haipeng"'
Hyperspectral image (HSI) classification is pivotal in the remote sensing (RS) field, particularly with the advancement of deep learning techniques. Sequential models, adapted from the natural language processing (NLP) field such as Recurrent Neural
Externí odkaz:
http://arxiv.org/abs/2405.12003
Patch robustness certification is an emerging kind of defense technique against adversarial patch attacks with provable guarantees. There are two research lines: certified recovery and certified detection. They aim to label malicious samples with pro
Externí odkaz:
http://arxiv.org/abs/2405.07668
Autor:
Wang, Haipeng
Scanning real-life scenes with modern registration devices typically gives incomplete point cloud representations, primarily due to the limitations of partial scanning, 3D occlusions, and dynamic light conditions. Recent works on processing incomplet
Externí odkaz:
http://arxiv.org/abs/2404.08312
Patch robustness certification ensures no patch within a given bound on a sample can manipulate a deep learning model to predict a different label. However, existing techniques cannot certify samples that cannot meet their strict bars at the classifi
Externí odkaz:
http://arxiv.org/abs/2308.00452
Publikováno v:
Soft Robotics 10 (2), 314-325 (2023)
It has been a great challenge to develop robots that are able to perform complex movement patterns with high speed and, simultaneously, high accuracy. Copepods are animals found in freshwater and saltwater habitats that can have extremely fast escape
Externí odkaz:
http://arxiv.org/abs/2302.08217
Autor:
Bi, Shubo1,2 (AUTHOR) wanghai463100@126.com, Wang, Haipeng1 (AUTHOR), Zhang, Shuaishuai2 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 11, p3346. 14p.
Roadside units (RSUs), which have strong computing capability and are close to vehicle nodes, have been widely used to process delay- and computation-intensive tasks of vehicle nodes. However, due to their high mobility, vehicles may drive out of the
Externí odkaz:
http://arxiv.org/abs/2205.06637
Autor:
Wang, Haipeng.
Thesis (Ph.D.)--University of Adelaide, School of Chemical Engineering, 2005.
Includes author's previously published papers. Includes bibliographical references. Also available in print form.
Includes author's previously published papers. Includes bibliographical references. Also available in print form.
Autor:
Wang, Haipeng
Publikováno v:
In Intelligent Systems with Applications June 2024 22
Autor:
Li, Xuqiang, Li, Wensheng, Zhai, Haimin, Zhang, Zheyun, Zhang, Ting, Wang, Meng, Wang, Haipeng
Publikováno v:
In Materials Characterization June 2024 212