Professor | Jia Liu | Asia Growth Partners

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Name	Jia Liu
Contact Information	liujiaTHU@tsinghua.edu.cn
Language ability	English, Chinese
Province	Beijing

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Name

Jia Liu

Contact Information

liujiaTHU@tsinghua.edu.cn

Language ability

English, Chinese

Province

Beijing

University/Lab Affiliation and Title	Tsinghua University
Faculty	Social Science
Academic Background & Achievements	1997–2002: Ph.D. in Cognitive Neuroscience, MIT 1995–1997: M.Sc. in Cognitive Psychology, Peking University 1990–1995: B.Sc. in General Psychology, Peking University 1992–1994: Minor in Electronics and Information Systems, Peking University
Work Experience	2020–present: Chair Professor of Basic Science, Tsinghua University 2005–2020: Professor (Second Level), Beijing Normal University 2009–2010: Fulbright Visiting Scholar, MIT 2003–2005: Associate Professor/Professor, Institute of Biophysics, Chinese Academy of Sciences 2002–2003: Postdoctoral Fellow, MIT
Awards	2016: Second Prize, Graduate Education Achievement Award, China Academic Degrees and Graduate Education Association 2017: Second Prize, Beijing Higher Education Teaching Achievement Award 2014: Contribution Award (Innovative Talent), All-China Federation of Returned Overseas Chinese 2013: First Prize, Natural Science Award, Ministry of Education

University/Lab Affiliation and Title

Tsinghua University

Faculty

Social Science

Academic Background & Achievements

1997–2002: Ph.D. in Cognitive Neuroscience, MIT
1995–1997: M.Sc. in Cognitive Psychology, Peking University
1990–1995: B.Sc. in General Psychology, Peking University
1992–1994: Minor in Electronics and Information Systems, Peking University

Work Experience

2020–present: Chair Professor of Basic Science, Tsinghua University
2005–2020: Professor (Second Level), Beijing Normal University
2009–2010: Fulbright Visiting Scholar, MIT
2003–2005: Associate Professor/Professor, Institute of Biophysics, Chinese Academy of Sciences
2002–2003: Postdoctoral Fellow, MIT

Awards

2016: Second Prize, Graduate Education Achievement Award, China Academic Degrees and Graduate Education Association
2017: Second Prize, Beijing Higher Education Teaching Achievement Award
2014: Contribution Award (Innovative Talent), All-China Federation of Returned Overseas Chinese
2013: First Prize, Natural Science Award, Ministry of Education

Areas of Focus	Cognitive Neuroscience of Artificial Intelligence Visual Intelligence
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, 2021 Hierarchical sparse coding of objects in deep convolutional neural networks, X Liu, Z Zhen, & J Liu, 2020

Areas of Focus

Cognitive Neuroscience of Artificial Intelligence
Visual Intelligence

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, 2021
Hierarchical sparse coding of objects in deep convolutional neural networks, X Liu, Z Zhen, & J Liu, 2020

Cognitive Neuroscience Artificial Intelligence Visual Intelligence Brain Cognition Neural Networks Machine Learning Perception Neuroplasticity Psychology

Yuanyuan Mi - Tsinghua University

Meihong Zheng - Tsinghua University

Hong Li - Tsinghua University

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