Quanlong Guan
13 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
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Renaissance Researcher
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(11)
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AAAI (6)
IJCAI (3)
COLING (1)
CVPR (1)
ICCV (1)
UAI (1)
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vision-language model
(2)
out-of-distribution generalization
(2)
reinforcement learning
(1)
few-shot learning
(1)
domain generalization
(1)
variational inference
(1)
domain adaptation
(1)
formal verification
(1)
feature selection
(1)
automated planning
(1)
attention mechanism
(1)
bias detection
(1)
graph generation
(1)
transfer learning
(1)
zero-shot learning
(1)
machine learning
(1)
distribution shift
(1)
belief revision
(1)
knowledge compilation
(1)
contrastive learning
(1)
Papers
Generating In-Distribution Counterfactual Explanation for Graph Neural Networks
AAAI 2026
GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
AAAI 2026
KVFKT: A New Horizon in Knowledge Tracing with Attention-Based Embedding and Forgetting Curve Integration
COLING 2025
Reproducible Vision-Language Models Meet Concepts Out of Pre-Training
CVPR 2025
DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction
UAI 2025
A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus
AAAI 2025
Improvements to the Generate-and-Complete Approach to Conformant Planning
IJCAI 2025
A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs
IJCAI 2024
On the Logic of Theory Change Iteration of KM-Update, Revised
IJCAI 2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
AAAI 2024
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
AAAI 2024
A Retrospect to Multi-prompt Learning across Vision and Language
ICCV 2023
Knowledge Compilation Meets Logical Separability
AAAI 2022