Mo Han

According to our database, Mo Han authored at least 21 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Study on torsional vibration characteristics and suppression of electric vehicles with dual-motor drive system.

Hongwei Yue, Hongwen He, Mo Han

J. Frankl. Inst., 2023

A Research on the Correlation Between Microclimate and Vitality of External Spaces of Public Buildings.

Liangli Guo, Mo Han

Proceedings of the 2023 ACM Symposium on Spatial User Interaction, 2023

2022

Path Planning and Following Control of Autonomous Bus Under Time-Varying Parameters Against Parametric Uncertainties and External Disturbances.

Man Shi, Hongwen He, Jianwei Li, Mo Han, Nana Zhou

IEEE Trans. Veh. Technol., 2022

Over 50, 000 Metagenomically Assembled Draft Genomes for the Human Oral Microbiome Reveal New Taxa.

Jie Zhu, Liu Tian, Peishan Chen, Mo Han, Liju Song, Xin Tong, Xiaohuan Sun, Fangming Yang, Zhipeng Lin, Xing Liu, Chuan Liu, Xiaohan Wang, Yuxiang Lin, Kaiye Cai, Yong Hou, Xun Xu, Huanming Yang, Jian Wang, Karsten Kristiansen, Liang Xiao, Tao Zhang, Huijue Jia, Zhuye Jie

Genom. Proteom. Bioinform., 2022

Recognition of the Agricultural Named Entities With Multifeature Fusion Based on ALBERT.

Pengfei Zhao, Wei Wang, Hai Liu, Mo Han

IEEE Access, 2022

2021

Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders.

Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

IEEE J. Biomed. Health Informatics, 2021

Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion.

Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus

CoRR, 2021

Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control.

Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Günay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner

CoRR, 2021

HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands.

Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus

CoRR, 2021

Classifications of Dynamic EMG in Hand Gesture and Unsupervised Grasp Motion Segmentation.

Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Novel Fractional Wavelet Packet Transform: Theory, Implementation, and Applications.

Jun Shi, Xiaoping Liu, Wei Xiang, Mo Han, Qinyu Zhang

IEEE Trans. Signal Process., 2020

Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.

Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

IEEE Signal Process. Lett., 2020

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

Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus

Intell. Serv. Robotics, 2020

Disentangled Adversarial Transfer Learning for Physiological Biosignals.

Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Automatic Segmentation of Human Placenta Images With U-Net.

Mo Han, Yuwei Bao, Ziyan Sun, Shiping Wen, Liming Xia, Jingyang Zhao, Junfeng Du, Zheng Yan

IEEE Access, 2019

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

Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

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

Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner

Proceedings of the Cyber Physical Systems. Model-Based Design - 9th International Workshop, 2019

2017

On Sampling of Bandlimited Graph Signals.

Mo Han, Jun Shi, Yiqiu Deng, Weibin Song

Proceedings of the Machine Learning and Intelligent Communications, 2017

Uncertainty Principle of the Special Affine Fourier Transform for Discrete Signals.

Mo Han, Jun Shi, Xuejun Sha, Min Jia, Qingzhong Li, Naitong Zhang

Proceedings of the Communications, Signal Processing, and Systems, 2017

2016

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

Jun Shi, Xiaoping Liu, Lei He, Mo Han, Qingzhong Li, Naitong Zhang

IEEE Trans. Signal Process., 2016

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

Jun Shi, Mo Han, Naitong Zhang

Signal Image Video Process., 2016