Yue Hou

3 papers · 2024–2026 · 2 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AAAI (2) NAACL (1)

Top co-authors

Ke Xu (3) Junran Wu (3) Ruomei Liu (3) Yingke Su (2) He Zhu (2) Shangzhe Li (1) Jinxiang Xia (1) Yicheng Pan (1) Ze Yuan (1)

Research topics

Machine Learning (3) Deep Learning (2) Architectures (2) Learning Types · Machine Learning (2) Artificial Intelligence (1) Natural Language Processing (1) Application Areas (1) Applications (1) Core AI (1) Core Methods (1) Learning Types · Deep Learning (1)

Keywords

structural entropy (2) contrastive learning (2) domain generalization (1) anomaly detection (1) graph classification (1) self-supervised learning (1) hierarchical text classification (1) boundary detection (1) out-of-distribution detection (1) text encoder (1) ood detection (1) graph neural network (1) graph out-of-distribution (1) unsupervised learning (1) test-time calibration (1) representation learning (1)

Papers

Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries AAAI 2026 Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection AAAI 2025 HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification NAACL 2024