Author

Yixin Liu

Observed name: Liu, Yixin

Institution: Griffith University

Observed institution: Griffith University

ORCID: 0000-0002-4309-5076

Observed ORCID: 0000-0002-4309-5076

OpenAlex ID: A5122891107

CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey

2026 · Jindong Li, Yongguang Li, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 15

PDF

A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models

2025 · Junjun Pan, Yu Zheng, et al. · IEEE International Conference on Knowledge Graph (ICKG) · 4

PDF

From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection

2026 · Yixin Liu, Shiyuan Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 2

HOPE: Heterophily-Aware Open-Set Node Classification with Pseudo-Extrapolation

2026 · Dai, Yumeng, Tan, Yue, et al. · arXiv (Cornell University)

PDF

SIM: Subspace Interaction-based Method for Token-Level Text Anomaly Detection

2026 · Yan, Kehan, Tan, Yue, et al. · arXiv (Cornell University)

PDF

FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-Level Anomaly Detection

2026 · Yunfeng Zhao, Yixin Liu, et al. · International Joint Conference on Artificial Intelligence

PDF

PaSta: Noisy Node Classification with Partial Label Learning

2026 · Liu, Yujing, Liu, Yixin, et al. · arXiv (Cornell University)

PDF

DiFA: Dual Evidence Fusion and Aggregation for Token-Level Text Anomaly Detection

2026 · Qian, Yanyu, Weng, Pengcheng, et al. · arXiv (Cornell University)

PDF

CORE: In-Context Reconstruction for Unified Tabular Anomaly Detection

2026 · Zhao, Yunfeng, Chen, Qingfeng, et al. · arXiv (Cornell University)

PDF

From Unsupervised to Few-Shot Graph Anomaly Detection: A Multi-Scale Contrastive Learning Approach

2026 · Yu Zheng, Junjun Pan, et al. · Transactions on Graph Intelligence and Network Applications

PDF

Towards Anomaly Detection on Relational Data

2026 · Li, Shiyuan, Zhao, Yunfeng, et al. · arXiv (Cornell University)

PDF

Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach

2026 · Liu, Yujing, Liu, Yixin, et al. · arXiv (Cornell University)

PDF

From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection

2026 · Liu, Yixin, Li, Shiyuan, et al. · arXiv (Cornell University)

PDF

References Improve LLM Alignment in Non-Verifiable Domains

2026 · Shi, Kejian, Liu, Yixin, et al. · arXiv (Cornell University)

PDF

Works count: 14

Citation count: 21

H-index: 2

I10-index: 1