Mo Han

On Sampling of Bandlimited Graph Signals

Jun Shi, Mo Han, Yiqiu Deng, 2017, MLICOM.

From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels

Paolo Bonato, Deniz Erdogmus, Cagdas D. Onal, 2019, PETRA.

Uncertainty principles for discrete signals associated with the fractional Fourier and linear canonical transforms

Naitong Zhang, Jun Shi, Mo Han, 2016, Signal Image Video Process..

Sampling and Reconstruction in Arbitrary Measurement and Approximation Spaces Associated With Linear Canonical Transform

Naitong Zhang, Qingzhong Li, Xiaoping Liu, 2016, IEEE Transactions on Signal Processing.

Uncertainty Principle of the Special Affine Fourier Transform for Discrete Signals

Xuejun Sha, Naitong Zhang, Qingzhong Li, 2017, CSPS.

Disentangled Adversarial Transfer Learning for Physiological Biosignals

Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand pdf

Deniz Erdogmus, Gunar Schirner, Mo Han, 2019, CyPhy/WESE.

HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands

Deniz Erdogmus, Taskin Padir, Gunar Schirner, 2019, Intelligent Service Robotics.

Assessment of the cPAS-based BGISEQ-500 platform for metagenomic sequencing

Jian Wang, Xun Xu, Mo Han, 2017, GigaScience.

A novel affordable reagent for room temperature storage and transport of fecal samples for metagenomic analyses

Jian Wang, Mo Han, Huanming Yang, 2018, Microbiome.