Chenglong Bao
16 papers · 2013–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Half
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Keyword Champion
(3)
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Trend Setter
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Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(73)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(9)
Optimization & Theory
(6)
Computer Vision
(5)
Application Areas
(5)
Techniques
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Architectures
(4)
Learning Types Β· Machine Learning
(4)
Optimization
(4)
Processing
(4)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Core Methods
(2)
Keywords
knowledge distillation
(4)
sparse coding
(3)
fixed-point iteration
(3)
dictionary learning
(3)
anderson mixing
(3)
model compression
(3)
unsupervised learning
(2)
neural network training
(2)
adversarial robustness
(2)
stochastic optimization
(2)
image denoising
(2)
sparse representation
(2)
convolutional neural network
(2)
non-convex optimization
(1)
network architecture
(1)
catastrophic forgetting
(1)
image generation
(1)
representation learning
(1)
bayesian inference
(1)
semi-supervised learning
(1)
Papers
A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems
ICLR 2025
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
CVPR 2024
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications
ICLR 2022
A Variant of Anderson Mixing with Minimal Memory Size
NeurIPS 2022
AFEC: Active Forgetting of Negative Transfer in Continual Learning
NeurIPS 2021
An Unsupervised Deep Learning Approach for Real-World Image Denoising
ICLR 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
NeurIPS 2021
Auxiliary Training: Towards Accurate and Robust Models
CVPR 2020
Interpolation between Residual and Non-Residual Networks
ICML 2020
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation
CVPR 2020
Task-Oriented Feature Distillation
NeurIPS 2020
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
ICCV 2019
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
NeurIPS 2019
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis
CVPR 2016
l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence
CVPR 2014
Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration
ICCV 2013