Kay Liu

5 papers · 2022–2025 · 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 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12)

Venues

NeurIPS (2) ACL (1) ICLR (1) JMLR (1)

Top co-authors

Philip S. Yu (3) Philip S Yu (2) Xiyang Hu (2) Xueying Ding (2) Yingtong Dou (2) Fangxin Wang (2) Hao Peng (2) Ruitong Zhang (2) Lichao Sun (2) Yangning Li (1)

Research topics

Machine Learning (5) Core Methods (3) Learning Types (3) Deep Learning (2) Architectures (2) Artificial Intelligence (1) Computer Vision (1) Data Science & Analytics (1) Analysis (1) Application Areas (1) Core AI (1) Methods (1) Optimization & Theory (1)

Keywords

graph neural network (3) anomaly detection (2) semi-supervised learning (2) text classification (1) uncertainty quantification (1) intent classification (1) outlier detection (1) conditional mutual information (1) node classification (1) consistency regularization (1) prediction interval (1) graph mining (1) unlabeled data (1) fair regression (1) graph outlier detection (1) library software (1) node selection (1) equalized coverage (1) test-time computing (1) unsupervised learning (1)

Papers

BANGS: Game-theoretic Node Selection for Graph Self-Training ICLR 2025 TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency ACL 2025 PyGOD: A Python Library for Graph Outlier Detection JMLR 2024 Equal Opportunity of Coverage in Fair Regression NeurIPS 2023 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NeurIPS 2022