Qinghua Lu
8 papers · 2020–2026 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (22)
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Artificial Intelligence
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Learning Paradigms · Artificial Intelligence
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Learning Types · Deep Learning
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Learning Paradigms · Machine Learning
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federated learning
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graph neural network
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domain adaptation
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reinforcement learning
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explainable ai
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curriculum learning
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path planning
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self-supervised learning
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knowledge transfer
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gradient aggregation
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continuous control
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model aggregation
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graph representation
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message passing
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mutual information
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prototype learning
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off-policy learning
(1)
data privacy
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foundation model
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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
NeurIPS 2023
FedProto: Federated Prototype Learning across Heterogeneous Clients
AAAI 2022
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
NeurIPS 2021
Cooperative Heterogeneous Deep Reinforcement Learning
NeurIPS 2020
Going Deep: Graph Convolutional Ladder-Shape Networks
AAAI 2020