Chenglong Bao
16 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (12) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (36)
π
Interdisciplinary Bridge
π
Conference Polyglot
(5)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Trend Setter
π
Century Club
(16)
π
Conference Pioneer
ποΈ
Keyword Collector
(64)
Conferences
CVPR (5)
NIPS (5)
ICLR (3)
ICCV (2)
ICML (1)
Top co-authors
Keywords
knowledge distillation
(4)
sparse coding
(3)
model compression
(3)
dictionary learning
(3)
fixed-point iteration
(2)
convolutional neural network
(2)
sparse representation
(2)
anderson mixing
(2)
adversarial robustness
(2)
semantic segmentation
(1)
nonconvex optimization
(1)
image generation
(1)
network architecture
(1)
domain generalization
(1)
catastrophic forgetting
(1)
neural network training
(1)
dimensionality reduction
(1)
feature extraction
(1)
semi-supervised learning
(1)
image restoration
(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 Variant of Anderson Mixing with Minimal Memory Size
NIPS 2022
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications
ICLR 2022
An Unsupervised Deep Learning Approach for Real-World Image Denoising
ICLR 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
NIPS 2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning
NIPS 2021
Interpolation between Residual and Non-Residual Networks
ICML 2020
Task-Oriented Feature Distillation
NIPS 2020
Auxiliary Training: Towards Accurate and Robust Models
CVPR 2020
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation
CVPR 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
NIPS 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