Chong You
30 papers · 2015–2025 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 3 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Chong You?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zhihui Zhu, Yi Ma, Qing Qu
14 papers
· 2020–2024
· NeurIPS, ICML, JMLR
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Generalized Neural Collapse for a Large Number of Classes
ICML 2024
Are All Losses Created Equal: A Neural Collapse Perspective
NeurIPS 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
Recovery and Generalization in Over-Realized Dictionary Learning
JMLR 2022
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
JMLR 2022
Revisiting Sparse Convolutional Model for Visual Recognition
NeurIPS 2022
Robust Training under Label Noise by Over-parameterization
ICML 2022
A Geometric Analysis of Neural Collapse with Unconstrained Features
NeurIPS 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
NeurIPS 2021
Incremental Learning via Rate Reduction
CVPR 2021
Deep Isometric Learning for Visual Recognition
ICML 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
NeurIPS 2020
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
ICML 2020
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
NeurIPS 2020