Qinghua Lu
8 papers · 2020–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (5) π Cross-Pollinator (13)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(23)
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Interdisciplinary Bridge
π§¬
Topic Evolution
ποΈ
Keyword Collector
(51)
Conferences
AAAI (4)
NIPS (3)
IJCAI (1)
Top co-authors
Keywords
federated learning
(4)
graph neural network
(2)
domain adaptation
(2)
reinforcement learning
(1)
gradient aggregation
(1)
curriculum learning
(1)
path planning
(1)
self-supervised learning
(1)
non-iid data
(1)
knowledge transfer
(1)
mutual information
(1)
explainable ai
(1)
model aggregation
(1)
graph representation
(1)
message passing
(1)
prototype learning
(1)
continuous control
(1)
off-policy learning
(1)
data privacy
(1)
semi-supervised learning
(1)
Papers
Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach
AAAI 2026
Federated Low-Rank Adaptation for Foundation Models: A Survey
IJCAI 2025
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
AAAI 2023
Towards Self-Interpretable Graph-Level Anomaly Detection
NIPS 2023
FedProto: Federated Prototype Learning across Heterogeneous Clients
AAAI 2022
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
NIPS 2021
Cooperative Heterogeneous Deep Reinforcement Learning
NIPS 2020
Going Deep: Graph Convolutional Ladder-Shape Networks
AAAI 2020