Upload Avatar (500 x 500)
Jia Liu
Psychology and Cognitive Sciences
Tsinghua University
Beijing
Language: English, Chinese
Cognition
Neuroscience
Artificial Intelligence
Visual Perception
Brain
Learning
Memory
Neural Networks
Cognitive Science
Intelligence
Areas of Focus
- Cognitive Neuroscience of Artificial Intelligence
- Visual Intelligence
Work Experience
- 2020–present - Tsinghua University - Chair Professor of Basic Science
- 2005–2020 - Beijing Normal University - Professor (Level 2)
- 2009–2010 - Massachusetts Institute of Technology - Fulbright Visiting Scholar
- 2003–2005 - Chinese Academy of Sciences - Associate Professor/Professor
- 2002–2003 - Massachusetts Institute of Technology - Postdoctoral Researcher
Academic Background & Achievements
- 1997–2002 PhD in Cognitive Neuroscience: Massachusetts Institute of Technology (MIT)
- 1995–1997 MSc in Cognitive Psychology: Peking University
- 1990–1995 BSc in General Psychology: Peking University
- 1992–1994 Minor in Electronics and Information Systems: Peking University
Publications
- From Sensory to Perceptual Manifolds: The Twist of Neural Geometry, H Ma, L Jiang, T Liu, & J Liu, 2023
- Experience replay facilitates the formation of the hexagonal pattern of grid cells, B Zhang, L Ma, & J Liu, 2023
- The Cognitive Critical Brain: Modulation of Criticality in Task-Engaged Regions, X Liu, X Fei, & J Liu, 2023
- Real-world size of objects serves as an axis of object space, T Huang, Y Song, & J Liu, 2022
- Spatial periodicity of hippocampal place cells in navigation, B Zhang & J Liu, 2022
- Principles governing the topological organization of object selectivities in ventral temporal cortex, Y Zhang, K Zhou, P Bao, & J Liu, 2021
- Body size as a metric for the affordable world, X Feng, S Xu, Y Li, & J Liu, 2023
- The development of spatial cognition and its malleability assessed in mass population via a mobile game, S Xu, Y Song, & J Liu, 2023
- A stochastic world model on gravity for stability inference, T Huang & J Liu, 2023
- Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspective, Z Yin, W Ding, & J Liu, 2023
- Emotional intelligence of large language models, X Wang, X Li, Z Yin, Y Wu, & J Liu, 2023
- The face module emerged in a deep convolutional neural network selectively deprived of face experience, S Xu, Y Zhang, Z Zhen, & J Liu, 2021
- Multidimensional face representation in a deep convolutional neural network reveals the mechanism underlying AI racism, J Tian, H Xie, S Hu, & J Liu, 2021
- Semantic relatedness emerges in deep convolutional neural networks designed for object recognition, T Huang, Z Zhen, & J Liu, 2021
- Implementation-independent representation for deep convolutional neural networks and humans in processing faces, Y Song, Y Qu, S Xu, & J Liu, 2020
- Hierarchical sparse coding of objects in deep convolutional neural networks, X Liu, Z Zhen, & J Liu, 2020
Awards
- 2016: Graduate Education Achievement Award (National Level) Second Prize
- 2017: Beijing Higher Education Teaching Achievement Award (Provincial Level) Second Prize
- 2014: China Overseas Chinese Contribution Award (Innovative Talent)
- 2013: Ministry of Education Natural Science Award First Prize
