Di Fang
4 papers · 2024–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Learning Types · Deep Learning
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Architectures
(1)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
class-incremental learning
(2)
closed-form solution
(2)
analytic learning
(2)
catastrophic forgetting
(1)
knowledge distillation
(1)
ridge regression
(1)
model aggregation
(1)
class imbalance
(1)
gradient descent
(1)
pre-trained model
(1)
semantic shift
(1)
non-iid data
(1)
generalized class incremental learning
(1)
exemplar-free learning
(1)
label augmentation
(1)
analytic federated learning
(1)
single-round aggregation
(1)
data heterogeneity invariance
(1)
multi-label class-incremental learning
(1)
gradient-free training
(1)
Papers
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
CVPR 2025
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
ICML 2025
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
ICML 2025
GACL: Exemplar-Free Generalized Analytic Continual Learning
NeurIPS 2024