Run He
8 papers · 2023–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§
Keyword Pioneer
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Conference Polyglot
(5)
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Cross-Pollinator
(9)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(17)
Conferences
CVPR (2)
ICML (2)
NIPS (2)
AAAI (1)
ICCV (1)
Top co-authors
Keywords
analytic learning
(5)
catastrophic forgetting
(4)
continual learning
(4)
class incremental learning
(3)
closed-form solution
(3)
exemplar-free learning
(2)
recursive least squares
(2)
gaussian kernel
(1)
pre-trained model
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
non-iid datum
(1)
pretrained model
(1)
generalized class incremental learning
(1)
large language model
(1)
dual-stream architecture
(1)
analytic federated learning
(1)
single-round aggregation
(1)
data heterogeneity invariance
(1)
class incremental
(1)
Papers
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
ICML 2025
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
CVPR 2025
Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model
ICCV 2025
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
ICML 2025
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
NIPS 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning
NIPS 2024
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
AAAI 2024
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
CVPR 2023