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Journal Articles
- 2024
[j13]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
:
Multimodal fusion of EMG and vision for human grasp intent inference in prosthetic hand control. Frontiers Robotics AI 11 (2024)- [j12]Man Shi, Hongwen He, Jianwei Li, Mo Han, Xuyang Zhao, Denis Gillet:
Less Conservatism, Stronger Robustness: Iterative Robust Gain-Scheduled Path Following Control of Autonomous Bus With Unstructured and Changing Dynamics. IEEE Trans. Veh. Technol. 73(5): 6116-6128 (2024) - 2023
- [j11]Hongwei Yue, Hongwen He, Mo Han:
Study on torsional vibration characteristics and suppression of electric vehicles with dual-motor drive system. J. Frankl. Inst. 360(1): 380-402 (2023) - 2022
- [j10]Pengfei Zhao, Wei Wang, Hai Liu, Mo Han:
Recognition of the Agricultural Named Entities With Multifeature Fusion Based on ALBERT. IEEE Access 10: 98936-98943 (2022) - [j9]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:
Over 50, 000 Metagenomically Assembled Draft Genomes for the Human Oral Microbiome Reveal New Taxa. Genom. Proteom. Bioinform. 20(2): 246-259 (2022) - [j8]Man Shi, Hongwen He, Jianwei Li, Mo Han, Nana Zhou:
Path Planning and Following Control of Autonomous Bus Under Time-Varying Parameters Against Parametric Uncertainties and External Disturbances. IEEE Trans. Veh. Technol. 71(7): 7057-7070 (2022) - 2021
- [j7]Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders. IEEE J. Biomed. Health Informatics 25(8): 2928-2937 (2021) - 2020
- [j6]Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus:
HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands. Intell. Serv. Robotics 13(1): 179-185 (2020) - [j5]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. IEEE Signal Process. Lett. 27: 1565-1569 (2020) - [j4]Jun Shi, Xiaoping Liu, Wei Xiang, Mo Han, Qinyu Zhang:
Novel Fractional Wavelet Packet Transform: Theory, Implementation, and Applications. IEEE Trans. Signal Process. 68: 4041-4054 (2020) - 2019
- [j3]Mo Han, Yuwei Bao, Ziyan Sun, Shiping Wen, Liming Xia, Jingyang Zhao, Junfeng Du, Zheng Yan:
Automatic Segmentation of Human Placenta Images With U-Net. IEEE Access 7: 180083-180092 (2019) - 2016
- [j2]Jun Shi, Mo Han, Naitong Zhang:
Uncertainty principles for discrete signals associated with the fractional Fourier and linear canonical transforms. Signal Image Video Process. 10(8): 1519-1525 (2016) - [j1]Jun Shi, Xiaoping Liu, Lei He, Mo Han, Qingzhong Li, Naitong Zhang:
Sampling and Reconstruction in Arbitrary Measurement and Approximation Spaces Associated With Linear Canonical Transform. IEEE Trans. Signal Process. 64(24): 6379-6391 (2016)
Conference and Workshop Papers
- 2024
- [c8]Mo Han, Hongwen He, Jianfei Cao, Jingda Wu, Wei Liu, Man Shi:
Learning Based Model Predictive Path Tracking Control for Autonomous Buses. IV 2024: 2680-2687 - 2023
- [c7]Liangli Guo, Mo Han:
A Research on the Correlation Between Microclimate and Vitality of External Spaces of Public Buildings. SUI 2023: 65:1-65:8 - 2021
- [c6]Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus:
Classifications of Dynamic EMG in Hand Gesture and Unsupervised Grasp Motion Segmentation. EMBC 2021: 359-364 - 2020
- [c5]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC 2020: 422-425 - 2019
- [c4]Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner:
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. CyPhy/WESE 2019: 44-58 - [c3]Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus:
From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels. PETRA 2019: 256-263 - 2017
- [c2]Mo Han, Jun Shi, Xuejun Sha, Min Jia, Qingzhong Li, Naitong Zhang:
Uncertainty Principle of the Special Affine Fourier Transform for Discrete Signals. CSPS 2017: 1351-1358 - [c1]Mo Han, Jun Shi, Yiqiu Deng, Weibin Song:
On Sampling of Bandlimited Graph Signals. MLICOM (2) 2017: 577-584
Informal and Other Publications
- 2021
- [i8]Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner:
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. CoRR abs/2101.05357 (2021) - [i7]Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus:
HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands. CoRR abs/2103.04845 (2021) - [i6]Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus:
From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels. CoRR abs/2103.04863 (2021) - [i5]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:
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control. CoRR abs/2104.03893 (2021) - [i4]Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus:
Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion. CoRR abs/2104.09627 (2021) - 2020
- [i3]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR abs/2004.08289 (2020) - [i2]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR abs/2008.11426 (2020) - [i1]Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR abs/2009.13453 (2020)
Coauthor Index
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