Ruizhi Pu
8 papers · 2023–2026 · 4 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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Conference Polyglot · Bronze
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Taxonomy Completionist
(14)
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Research topics
Keywords
non-iid data
(2)
graph domain adaptation
(2)
graph neural network
(2)
federated learning
(2)
knowledge transfer
(1)
source-free domain adaptation
(1)
pseudo labeling
(1)
machine unlearning
(1)
graph representation
(1)
loss landscape
(1)
label noise
(1)
cluster structure
(1)
data privacy
(1)
task vector
(1)
neural operator
(1)
prototype clustering
(1)
graph signal
(1)
domain-invariant representation
(1)
conditional distribution alignment
(1)
ordinal classification
(1)
Papers
GDFA: Geometry-Driven Federated Unlearning with Directional Task Vector Alignment
CVPR 2026
Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure
AAAI 2026
Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning
AAAI 2026
Homophily Enhanced Graph Domain Adaptation
ICML 2025
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression
AAAI 2025
On the Benefits of Attribute-Driven Graph Domain Adaptation
ICLR 2025
Generalizing across Temporal Domains with Koopman Operators
AAAI 2024
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
ICLR 2023