Chujun Lin

Assistant Professor

University of California, San Diego

United States

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Chujun Lin is an Assistant Professor at the University of California, San Diego, USA. His research focuses on social inference, face perception, and the neurocognitive mechanisms underlying social trait judgments, with recent articles exploring the interactions between social traits and neural correlates in human perception. He employs advanced methodologies, including deep learning, to advance the understanding of affective science in naturalistic contexts.

Articles (12)

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (5)

Nicholas J. Brandmeir

West Virginia University

UNITED STATES

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Emanuela De Falco

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

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Mark Thornton

Assistant Professor

Dartmouth College

UNITED STATES

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Hongbo Yu

Assistant Professor

University of California

UNITED STATES

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Ralph Adolphs

California Institute of Technology

UNITED STATES

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Chujun Lin

Research Interests

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About

Articles (12)

Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus

Network models reveal high-dimensional social inferences in naturalistic settings beyond latent construct models

How trait impressions of faces shape subsequent mental state inferences

Advancing Naturalistic Affective Science with Deep Learning

Trait impressions from faces depend on the goals of the perceiver

Distinct neurocognitive bases for social trait judgments of faces in autism spectrum disorder

A human single-neuron dataset for face perception

A neuronal social trait space for first impressions in the human amygdala and hippocampus

A Cautionary Note on Predicting Social Judgments from Faces with Deep Neural Networks

Four dimensions characterize attributions from faces using a representative set of English trait words

Personality traits are directly associated with anti-black prejudice in the United States

No strong evidence that social network index is associated with gray matter volume from a data-driven investigation

Collaborators (5)

Nicholas J. Brandmeir

Emanuela De Falco

Mark Thornton

Hongbo Yu

Ralph Adolphs

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