Ming Zhou

Ming Zhou

Johns Hopkins University

I am a 1st year Ph.D. student in the Department of Cognitive Science at Johns Hopkins University, advised by Prof. Leyla Isik. My research is centered on leveraging computational models to explore high-level human vision, with a particular focus on understanding how humans perceive and recognize thousands of objects and actions present in the natural world. Additionally, I have extensive experience in neuroimaging, including the development and organization of several large-scale neuroimaging datasets.

Prior to joining JHU, I received my bachelor’s and master’s degrees from Beijing Normal University (2018–2025), advised by Prof. Zonglei Zhen and Prof. Youyi Liu. I also had a remote internship (2024–present) with Prof. Martin Hebart and Dr. Tonghe Zhuang (postdoctoral researcher) at the Max Planck Institute for Human Cognitive and Brain Sciences.

🔥 News

  • 2025.09:  🎉🎉 Join the Johns Hopkins University as a first-year PhD Student!
  • 2025.06:  🎉🎉 Graduated from Beijing Normal University! Received my master degree!.

📝 Publications

Scientific Data
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Human Action Dataset (HAD)    Download dataset

Ming Zhou, Zhengxin Gong, Yuxuan Dai, Yushan Wen, Youyi Liu & Zonglei Zhen

  • HAD is a large-scale functional magnetic resonance imaging (fMRI) dataset for human action recognition, which contains fMRI responses to 21,600 naturalistic 2-seconds video clips from 30 participants. These clips cover a diverse range of 180 everyday action categories, including sports, eating, personal care, social interactions, and household activities. Preliminary analyses have demonstrated the dataset’s high signal-to-noise ratio and promising potential for uncovering the representational structures across the visual cortex.
  • Chen, X., Zhou, M., Gong, Z., Xu, W., Liu, X., Huang, T., … & Liu, J. (2020). DNNBrain: A unifying toolbox for mapping deep neural networks and brains. Frontiers in Computational Neuroscience, 14, 580632.
  • Gong, Z., Zhou, M., Dai, Y., Wen, Y., Liu, Y., & Zhen, Z. (2023). A large-scale fMRI dataset for the visual processing of naturalistic scenes. Scientific Data, 10(1), 559.
  • Zhang, G., Zhou, M., Zhen, S., Tang, S., Li, Z., & Zhen, Z. (2025). A large-scale MEG and EEG dataset for object recognition in naturalistic scenes. Scientific Data, 12(1), 857.
  • Zhuang, T., Stoinski, L. M., Zhou, M., & Hebart, M. N. (2025). Comparing the multidimensional mental and neural representations of object words and object images. Journal of Vision, 25(9), 2376-2376.

📖 Educations

  • 2022.09 - 2025.06, Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, Master of Science.
  • 2018.09 - 2022.06, Beijing Normal University, Falculty of Psychology, Bachelor of Science.