no code implementations • 23 Feb 2024 • Zhuojun Quan, Yuanyuan Lin, Kani Chen, Wen Yu
We find out that with the availability of the unlabeled data, the intercept parameter can be identified in semi-supervised learning setting.
no code implementations • 25 Nov 2021 • Wen Yu, Baiying Lei, Yanyan Shen, Shuqiang Wang, Yong liu, Zhiguang Feng, Yong Hu, Michael K. Ng
In this work, a novel Multidirectional Perception Generative Adversarial Network (MP-GAN) is proposed to visualize the morphological features indicating the severity of AD for patients of different stages.
no code implementations • 15 Jan 2021 • Simon Ansbro, Eufemio Moreno-Pineda, Wen Yu, Jacques Ollivier, Hannu Mutka, Mario Ruben, Alessandro Chiesa
Amongst the many characterisation techniques employed in such a task, Inelastic Neutron Scattering (INS) stands as one of the most powerful and sensitive tools to investigate their spin dynamics.
Mesoscale and Nanoscale Physics
no code implementations • 30 Aug 2020 • Shuqiang Wang, Zhuo Chen, Wen Yu, Baiying Lei
The assistant network and the discriminator are employed to jointly decide whether the segmentation results are real or fake.
no code implementations • 3 Aug 2020 • Wen Yu, Baiying Lei, Michael K. Ng, Albert C. Cheung, Yanyan Shen, Shuqiang Wang
To the best of our knowledge, the proposed Tensor-train, High-pooling and Semi-supervised learning based GAN (THS-GAN) is the first work to deal with classification on MRI images for AD diagnosis.
no code implementations • 7 Jun 2018 • Erick de la Rosa, Wen Yu
There are many advantages to use probability method for nonlinear system identification, such as the noises and outliers in the data set do not affect the probability models significantly; the input features can be extracted in probability forms.