Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jiehong Lin

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Zhong Yao Cai = Zhongyaocai = Journal of Chinese Medicinal Materials|November 24, 2004
[Studies on the constituents from Sambucus chinese]Yanjun Yang, Jiehong Lin
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 10, 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing RegularizersKui Jia, Jiehong Lin, Mingkui Tan, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 25, 2025
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud LearningYabin Zhang, Jiehong Lin, Ruihuang Li, et al.
Optics Express|November 11, 2025
High-entropy and parallel quantum random number generation on the strength of chaos amplificationXiaomin Guo, Jiehong Lin, Zhijie Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 15, 2020
Geometry-Aware Generation of Adversarial Point CloudsYuxin Wen, Jiehong Lin, Ke Chen, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Zhong Yao Cai = Zhongyaocai = Journal of Chinese Medicinal Materials|November 24, 2004
[Studies on the constituents from Sambucus chinese]Yanjun Yang, Jiehong Lin
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 10, 2019
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing RegularizersKui Jia, Jiehong Lin, Mingkui Tan, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 25, 2025
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud LearningYabin Zhang, Jiehong Lin, Ruihuang Li, et al.
Optics Express|November 11, 2025
High-entropy and parallel quantum random number generation on the strength of chaos amplificationXiaomin Guo, Jiehong Lin, Zhijie Song, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 15, 2020
Geometry-Aware Generation of Adversarial Point CloudsYuxin Wen, Jiehong Lin, Ke Chen, et al.
Pageof 1