Fengwei Zhou
12 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π€ Dynamic Duo (10)
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Century Club Β· Bronze
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Research topics
Machine Learning
(11)
Application Areas
(10)
Deep Learning
(8)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(5)
Models
(2)
Optimization & Theory Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Computer Vision
(1)
Analysis
(1)
Applications
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
out-of-distribution generalization
(6)
domain generalization
(4)
representation learning
(3)
distribution shift
(2)
data augmentation
(2)
pre-trained model
(2)
model ensemble
(2)
feature disentanglement
(2)
adversarial robustness
(2)
variational inference
(1)
self-supervised learning
(1)
model calibration
(1)
knowledge distillation
(1)
contrastive learning
(1)
feature selection
(1)
adversarial training
(1)
density estimation
(1)
unsupervised domain adaptation
(1)
neural architecture search
(1)
domain adaptation
(1)
Papers
EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling
CVPR 2026
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
AAAI 2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
ICML 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
AAAI 2023
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
ICLR 2023
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
CVPR 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
NeurIPS 2022
Adversarial Robustness for Unsupervised Domain Adaptation
ICCV 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
AAAI 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning
AAAI 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
NeurIPS 2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
ICCV 2021