Chong You
30 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Conference Polyglot (8) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
π£
Hot Topic Early Bird
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π
Triple Crown
ποΈ
Keyword Collector
(114)
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(30)
π₯
Unstoppable
(11)
β
The Questioner
Conferences
CVPR (7)
ICML (7)
NIPS (6)
ICLR (5)
JMLR (2)
AISTATS (1)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
subspace clustering
(6)
feature learning
(4)
neural collapse
(3)
dictionary learning
(3)
neural network
(3)
deep neural network
(3)
sparse representation
(3)
sparse recovery
(3)
simplex equiangular tight frame
(2)
rate reduction
(2)
representation learning
(2)
sparse optimization
(2)
image classification
(2)
self-expressive model
(2)
sparse coding
(2)
self-supervised learning
(2)
convolutional neural network
(2)
l1 regularization
(2)
discriminative representation
(2)
spectral clustering
(1)
Papers
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models
AISTATS 2025
On Bias-Variance Alignment in Deep Models
ICLR 2024
Functional Interpolation for Relative Positions improves Long Context Transformers
ICLR 2024
Generalized Neural Collapse for a Large Number of Classes
ICML 2024
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
ICLR 2023
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
ICLR 2023
Revisiting Sparse Convolutional Model for Visual Recognition
NIPS 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
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
Robust Training under Label Noise by Over-parameterization
ICML 2022
Are All Losses Created Equal: A Neural Collapse Perspective
NIPS 2022
Learning a Self-Expressive Network for Subspace Clustering
CVPR 2021
Incremental Learning via Rate Reduction
CVPR 2021
A Critique of Self-Expressive Deep Subspace Clustering
ICLR 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features
NIPS 2021
A Nullspace Property for Subspace-Preserving Recovery
ICML 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
NIPS 2021
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
NIPS 2020
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
NIPS 2020
Stochastic Sparse Subspace Clustering
CVPR 2020
Deep Isometric Learning for Visual Recognition
ICML 2020
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
ICML 2020
Self-Supervised Convolutional Subspace Clustering Network
CVPR 2019
Is an Affine Constraint Needed for Affine Subspace Clustering?
ICCV 2019
Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data
ECCV 2018
Provable Self-Representation Based Outlier Detection in a Union of Subspaces
CVPR 2017
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
CVPR 2016
Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering
CVPR 2016
Geometric Conditions for Subspace-Sparse Recovery
ICML 2015