Minghao Dong

Minghao Dong

Professor of Biomedical Engineering

Interests

  • Human-Computer Interaction
  • Brain Science
  • Neuroimaging

Education

  • Ph.D. in Biomedical Engineering, Xidian University (2013)
  • B.Sc. in Electronic Engineering, Xidian University (2009)

Minghao Dong received the B.Sc., M.Sc. and Ph. D. degrees in electronic engineering from Xidian University, Xi’an, China, in 2006, 2009 and 2013, respectively. He joined Xidian University in 2013, where he is now a full professor in the School of Life Science and Technology. He currently leads the Human Cognition Enhancement research group, which develops novel human-machine interaction methods for human cognitive function training, especially in the domain of visual recognition and moving objects detection. In the year of 2020-2021, he was a research fellow at the Second Research Institute of China Aerospace Science and Industry Corporation (CASIC). His general areas of research are in brain-machine interface, neuroimaging, cognitive training and cognitive neuroscience. He has authored or coauthored more than 70 journal papers and 10 granted patents on those topics. He was the recipient of 2020 Henan Medical Science and Technology Award and 2012 Natural Science Award of Shaanxi Province.

My name in Chinese is 董明皓.

Latest

A Few-Layer Multilayer Perceptron is Worth Attention for EEG Classification in Rapid Serial Visual Presentation Task

Ziyuan Zhang, Yang Zheng, Kaitai Guo, Jimin Liang, Minghao Dong

International Journal of Neural Systems, 0(0): 2650030

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Boosting brain-computer interface performance through cognitive training: A brain-centric approach

Ziyuan Zhang, Ziyu Wang, Kaitai Guo, Yang Zheng, Minghao Dong, Jimin Liang

Journal of Information and Intelligence, 3(1): 19-35

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Feasibility study of functional near-infrared spectroscopy in the ventral visual pathway for real-life applications

Weilu Chai, Peiming Zhang, Xiaoyan Zhang, Jia Wu, Chao Chen, Fu Li, Xuemei Xie, Guangming Shi, Jimin Liang, Chaozhe Zhu, Minghao Dong

Neurophotonics, 11(1): 015002

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Multimodal contrastive learning for brain–machine fusion: From brain-in-the-loop modeling to brain-out-of-the-loop application

Shilan Quan, Jianpu Yan, Kaitai Guo, Yang Zheng, Minghao Dong, Jimin Liang

Information Fusion, 110: 102447

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Discriminative Context-Aware Network for Target Extraction in Remote Sensing Imagery

Lei Hu, Chuang Niu, Shenghan Ren, Minghao Dong, Changli Zheng, Wei Zhang, Jimin Liang

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 700-715

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Real-World Visual Experience Alters Baseline Brain Activity in the Resting State: A Longitudinal Study Using Expertise Model of Radiologists

Jiaxi Su, Xiaoyan Zhang, Ziyuan Zhang, Hongmei Wang, Jia Wu, Guangming Shi, Chenwang Jin, Minghao Dong

Frontiers in Neuroscience, 16

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How Native Background Affects Human Performance in Real-World Visual Object Detection: An Event-Related Potential Study

Yue Wang, Jianpu Yan, Zhongliang Yin, Shenghan Ren, Minghao Dong, Changli Zheng, Wei Zhang, Jimin Liang

Frontiers in Neuroscience, 15

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Special Patterns of Dynamic Brain Networks Discriminate Between Face and Non-face Processing: A Single-Trial EEG Study

Zhongliang Yin, Yue Wang, Minghao Dong, Shenghan Ren, Haihong Hu, Kuiying Yin, Jimin Liang

Frontiers in Neuroscience, 15

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Visual experience modulates whole-brain connectivity dynamics: A resting-state fMRI study using the model of radiologists

Yue Wang, Chenwang Jin, Zhongliang Yin, Hongmei Wang, Ming Ji, Minghao Dong, Jimin Liang

Human Brain Mapping, 42(14): 4538-4554

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Short-range and long-range neuronal oscillatory coupling in multiple frequency bands during face perception

Zhongliang Yin, Ying Wang, Minghao Dong, Yubo Wang, Shenghan Ren, Jimin Liang

International Journal of Psychophysiology, 152: 26-35

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