Yixin Liu

According to our database, Yixin Liu authored at least 49 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

Jindong Li, Yongguang Li, Yali Fu, Jiahong Liu, Yixin Liu, Menglin Yang, Irwin King

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems.

Hongjiang Chen, Xin Zheng, Yixin Liu, Pengfei Jiao, Shiyuan Li, Huan Liu, Zhidong Zhao, Ziqi Xu, Ibrahim Khalil, Shirui Pan

CoRR, March, 2026

DynHD: Hallucination Detection for Diffusion Large Language Models via Denoising Dynamics Deviation Learning.

Yanyu Qian, Yue Tan, Yixin Liu, Wang Yu, Shirui Pan

CoRR, March, 2026

Towards One-for-All Anomaly Detection for Tabular Data.

Shiyuan Li, Yixin Liu, Yu Zheng, Xiaofeng Cao, Shirui Pan, Heng Tao Shen

CoRR, March, 2026

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

Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Philip S. Yu, Shirui Pan

CoRR, February, 2026

Beyond a Single Perspective: Text Anomaly Detection with Multi-View Language Representations.

Yixin Liu, Kehan Yan, Shiyuan Li, Qingfeng Chen, Shirui Pan

CoRR, January, 2026

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects.

Yixin Liu, Guibin Zhang, Kun Wang, Shiyuan Li, Shirui Pan, Bo An

IEEE Intell. Syst., 2026

OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models.

Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen, Shirui Pan

Proceedings of the ACM Web Conference 2026, 2026

Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time.

Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation.

Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection.

Junjun Pan, Yixin Liu, Rui Miao, Kaize Ding, Yu Zheng, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Shirui Pan

CoRR, December, 2025

Uncertainty-Aware Graph Neural Networks: A Multihop Evidence Fusion Approach.

Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang

IEEE Trans. Neural Networks Learn. Syst., October, 2025

BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks.

Rui Miao, Yixin Liu, Yili Wang, Xu Shen, Yue Tan, Yiwei Dai, Shirui Pan, Xin Wang

CoRR, August, 2025

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects.

Yixin Liu, Guibin Zhang, Kun Wang, Shiyuan Li, Shirui Pan

CoRR, July, 2025

Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach.

Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang

CoRR, June, 2025

Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling.

Xu Shen, Yixin Liu, Yili Wang, Rui Miao, Yiwei Dai, Shirui Pan, Xin Wang

CoRR, February, 2025

Out-of-Distribution Detection on Graphs: A Survey.

Tingyi Cai, Yunliang Jiang, Yixin Liu, Ming Li, Changqin Huang, Shirui Pan

CoRR, February, 2025

SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer.

Zizhe Jin, Yizhen Zheng, Linhao Luo, Yixin Liu, Xin Zheng, Xuefei Yin, Vincent Lee, Shirui Pan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.

Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Junjun Pan, Yu Zheng, Yue Tan, Yixin Liu

Proceedings of the 2025 IEEE International Conference on Knowledge Graph (ICKG), 2025

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems.

Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection.

Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection.

Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Emerging trends in federated learning: from model fusion to federated X learning.

Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, Lauri Vasankari, Shirui Pan, Guodong Long, Anwar Walid

Int. J. Mach. Learn. Cybern., September, 2024

Integrating Graphs With Large Language Models: Methods and Prospects.

Shirui Pan, Yizhen Zheng, Yixin Liu

IEEE Intell. Syst., 2024

Data-efficient graph learning: Problems, progress, and prospects.

Kaize Ding, Yixin Liu, Chuxu Zhang, Jianling Wang

AI Mag., 2024

ARC: A Generalist Graph Anomaly Detector with In-Context Learning.

Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise.

Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation.

Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Self-Supervision Improves Diffusion Models for Tabular Data Imputation.

Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection.

Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen

IEEE Trans. Knowl. Data Eng., December, 2023

Anomaly Detection in Dynamic Graphs via Transformer.

Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent Cheng-Siong Lee

IEEE Trans. Knowl. Data Eng., December, 2023

Graph Self-Supervised Learning: A Survey.

Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu

IEEE Trans. Knowl. Data Eng., June, 2023

Towards Data-centric Graph Machine Learning: Review and Outlook.

Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan

CoRR, 2023

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection.

Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards Self-Interpretable Graph-Level Anomaly Detection.

Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Strong Graph Neural Networks with Weak Information.

Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection.

Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan

Proceedings of the IEEE International Conference on Data Mining, 2023

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing.

Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.

Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cyclic label propagation for graph semi-supervised learning.

Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu

World Wide Web, 2022

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning.

Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis

IEEE Trans. Neural Networks Learn. Syst., 2022

Graph Neural Networks for Graphs with Heterophily: A Survey.

Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu

CoRR, 2022

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach.

Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen

CoRR, 2022

Towards Unsupervised Deep Graph Structure Learning.

Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Anomaly Detection in Dynamic Graphs via Transformer.

Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Vincent C. S. Lee

CoRR, 2021

Graph Self-Supervised Learning: A Survey.

Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu

CoRR, 2021

ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning.

Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021