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Career

· AI Research Scientist, Meta2025–
· Research Scientist, OpenAI2024–2025
· ICoN Postdoctoral Fellow, Massachusetts Institute of Technology (MIT)2022–2024
· Ph.D. in Psychology, Stanford University2016–2022
· B.E. in Electronic Engineering, Tsinghua University2011–2016
· B.S. in Mathematics, Tsinghua University2011–2016
· PhD Student, Meta Gen AI Lab

Publications (34)

Local Aggregation for Unsupervised Learning of Visual Embeddings
IEEE International Conference on Computer Vision · 2019
462
cited
Unsupervised neural network models of the ventral visual stream
Proceedings of the National Academy of Sciences of the United States of America · 2020
375
cited
Flexible Neural Representation for Physics Prediction
Neural Information Processing Systems · 2018
258
cited
On Mutual Information in Contrastive Learning for Visual Representations
arXiv.org · 2020
90
cited
Conditional Negative Sampling for Contrastive Learning of Visual Representations
International Conference on Learning Representations · 2020
88
cited
Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus
arXiv.org · 2023
70
cited
Unsupervised Learning From Video With Deep Neural Embeddings
Computer Vision and Pattern Recognition · 2019
63
cited
Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation
bioRxiv · 2021
36
cited
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
Neural Information Processing Systems · 2017
33
cited
How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?
Neural Information Processing Systems · 2022
24
cited
Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons
Frontiers in Computational Neuroscience · 2017
21
cited
The BabyView camera: Designing a new head-mounted camera to capture children’s early social and visual environments
Behavior Research Methods · 2023
17
cited
Unsupervised Models of Mouse Visual Cortex
2021
15
cited
Local Label Propagation for Large-Scale Semi-Supervised Learning
arXiv.org · 2019
13
cited
The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences
arXiv.org · 2024
11
cited
Self-supervised Neural Network Models of Higher Visual Cortex Development
2019 Conference on Cognitive Computational Neuroscience · 2019
10
cited
On the Importance of Views in Unsupervised Representation Learning
2020
6
cited
Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction
International Conference on Learning Representations · 2014
6
cited
Using multiple optimization tasks to improve deep neural network models of higher ventral cortex
Journal of Vision · 2018
2
cited
How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning?
2022 Conference on Cognitive Computational Neuroscience · 2022
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Chengxu Zhuang | Researcher Profile | Sotabase | Sotabase