Mo Han

29 papers C 1Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2024 C conf
Learning Based Model Predictive Path Tracking Control for Autonomous Buses.
IV
Mo Han, Hongwen He, Jianfei Cao, Jingda Wu, Wei Liu, Man Shi
2024 J jnl
Less Conservatism, Stronger Robustness: Iterative Robust Gain-Scheduled Path Following Control of Autonomous Bus With Unstructured and Changing Dynamics.
IEEE Trans. Veh. Technol.
Man Shi, Hongwen He, Jianwei Li, Mo Han, Xuyang Zhao, Denis Gillet
2024 J jnl
Multimodal fusion of EMG and vision for human grasp intent inference in prosthetic hand control.
Frontiers Robotics AI
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
2023 — conf
A Research on the Correlation Between Microclimate and Vitality of External Spaces of Public Buildings.
SUI
Liangli Guo, Mo Han
2023 J jnl
Study on torsional vibration characteristics and suppression of electric vehicles with dual-motor drive system.
J. Frankl. Inst.
Hongwei Yue, Hongwen He, Mo Han
2022 J jnl
Over 50, 000 Metagenomically Assembled Draft Genomes for the Human Oral Microbiome Reveal New Taxa.
Genom. Proteom. Bioinform.
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
2022 J jnl
Path Planning and Following Control of Autonomous Bus Under Time-Varying Parameters Against Parametric Uncertainties and External Disturbances.
IEEE Trans. Veh. Technol.
Man Shi, Hongwen He, Jianwei Li, Mo Han, Nana Zhou
2022 J jnl
Recognition of the Agricultural Named Entities With Multifeature Fusion Based on ALBERT.
IEEE Access
Pengfei Zhao, Wei Wang, Hai Liu, Mo Han
2021 — conf
Classifications of Dynamic EMG in Hand Gesture and Unsupervised Grasp Motion Segmentation.
EMBC
Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus
2021 J jnl
From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels.
CoRR
Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus
2021 J jnl
HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands.
CoRR
Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus
2021 J jnl
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control.
CoRR
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
2021 J jnl
Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion.
CoRR
Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus
2021 J jnl
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand.
CoRR
Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner
2021 J jnl
Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders.
IEEE J. Biomed. Health Informatics
Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2020 J jnl
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.
CoRR
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020 J jnl
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.
IEEE Signal Process. Lett.
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020 — conf
Disentangled Adversarial Transfer Learning for Physiological Biosignals.
EMBC
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020 J jnl
Disentangled Adversarial Transfer Learning for Physiological Biosignals.
CoRR
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020 J jnl
HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands.
Intell. Serv. Robotics
Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus
2020 J jnl
Novel Fractional Wavelet Packet Transform: Theory, Implementation, and Applications.
IEEE Trans. Signal Process.
Jun Shi, Xiaoping Liu, Wei Xiang, Mo Han, Qinyu Zhang
2020 J jnl
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders.
CoRR
Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2019 J jnl
Automatic Segmentation of Human Placenta Images With U-Net.
IEEE Access
Mo Han, Yuwei Bao, Ziyan Sun, Shiping Wen, Liming Xia, Jingyang Zhao, Junfeng Du, Zheng Yan
2019 — conf
From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels.
PETRA
Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus
2019 — conf
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand.
CyPhy/WESE
Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner
2017 — conf
On Sampling of Bandlimited Graph Signals.
MLICOM (2)
Mo Han, Jun Shi, Yiqiu Deng, Weibin Song
2017 — conf
Uncertainty Principle of the Special Affine Fourier Transform for Discrete Signals.
CSPS
Mo Han, Jun Shi, Xuejun Sha, Min Jia, Qingzhong Li, Naitong Zhang
2016 J jnl
Sampling and Reconstruction in Arbitrary Measurement and Approximation Spaces Associated With Linear Canonical Transform.
IEEE Trans. Signal Process.
Jun Shi, Xiaoping Liu, Lei He, Mo Han, Qingzhong Li, Naitong Zhang
2016 J jnl
Uncertainty principles for discrete signals associated with the fractional Fourier and linear canonical transforms.
Signal Image Video Process.
Jun Shi, Mo Han, Naitong Zhang