Yixin Liu - RankMe

73 papers A* 15A 5Journal 51Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. AAAI Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
2026	J	`jnl`	Beyond a Single Perspective: Text Anomaly Detection with Multi-View Language Representations. CoRR Yixin Liu, Kehan Yan, Shiyuan Li, Qingfeng Chen, Shirui Pan
2026	J	`jnl`	CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey. IEEE Trans. Pattern Anal. Mach. Intell. Jindong Li, Yongguang Li, Yali Fu, Jiahong Liu, Yixin Liu, Menglin Yang, Irwin King
2026	A*	`conf`	Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time. AAAI Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan
2026	J	`jnl`	DynHD: Hallucination Detection for Diffusion Large Language Models via Denoising Dynamics Deviation Learning. CoRR Yanyu Qian, Yue Tan, Yixin Liu, Wang Yu, Shirui Pan
2026	J	`jnl`	From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection. CoRR Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Philip S. Yu, Shirui Pan
2026	J	`jnl`	GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems. CoRR Hongjiang Chen, Xin Zheng, Yixin Liu, Pengfei Jiao, Shiyuan Li, Huan Liu, Zhidong Zhao, Ziqi Xu, Ibrahim Khalil, Shirui Pan
2026	J	`jnl`	Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects. IEEE Intell. Syst. Yixin Liu, Guibin Zhang, Kun Wang, Shiyuan Li, Shirui Pan, Bo An
2026	A*	`conf`	OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models. WWW Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen, Shirui Pan
2026	J	`jnl`	OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models. CoRR Shiyuan Li, Yixin Liu, Yu Zheng, Mei Li, Quoc Viet Hung Nguyen, Shirui Pan
2026	J	`jnl`	Towards One-for-All Anomaly Detection for Tabular Data. CoRR Shiyuan Li, Yixin Liu, Yu Zheng, Xiaofeng Cao, Shirui Pan, Heng Tao Shen
2025	J	`jnl`	A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection. CoRR Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan
2025	A*	`conf`	A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection. AAAI Junjun Pan, Yixin Liu, Xin Zheng, Yizhen Zheng, Alan Wee-Chung Liew, Fuyi Li, Shirui Pan
2025	—	`conf`	A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models. ICKG Junjun Pan, Yu Zheng, Yue Tan, Yixin Liu
2025	J	`jnl`	A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models. CoRR Junjun Pan, Yu Zheng, Yue Tan, Yixin Liu
2025	J	`jnl`	Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. CoRR Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
2025	J	`jnl`	BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks. CoRR Rui Miao, Yixin Liu, Yili Wang, Xu Shen, Yue Tan, Yiwei Dai, Shirui Pan, Xin Wang
2025	J	`jnl`	CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey. CoRR Jindong Li, Yongguang Li, Yali Fu, Jiahong Liu, Yixin Liu, Menglin Yang, Irwin King
2025	J	`jnl`	Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time. CoRR Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan
2025	J	`jnl`	Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection. CoRR Junjun Pan, Yixin Liu, Rui Miao, Kaize Ding, Yu Zheng, Quoc Viet Hung Nguyen, Alan Wee-Chung Liew, Shirui Pan
2025	A	`conf`	FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection. CIKM Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan
2025	J	`jnl`	FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection. CoRR Yunfeng Zhao, Yixin Liu, Shiyuan Li, Qingfeng Chen, Yu Zheng, Shirui Pan
2025	J	`jnl`	Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects. CoRR Yixin Liu, Guibin Zhang, Kun Wang, Shiyuan Li, Shirui Pan
2025	J	`jnl`	Out-of-Distribution Detection on Graphs: A Survey. CoRR Tingyi Cai, Yunliang Jiang, Yixin Liu, Ming Li, Changqin Huang, Shirui Pan
2025	J	`jnl`	Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling. CoRR Xu Shen, Yixin Liu, Yili Wang, Rui Miao, Yiwei Dai, Shirui Pan, Xin Wang
2025	—	`conf`	SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer. PAKDD (2) Zizhe Jin, Yizhen Zheng, Linhao Luo, Yixin Liu, Xin Zheng, Xuefei Yin, Vincent Lee, Shirui Pan
2025	J	`jnl`	Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach. CoRR Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang
2025	J	`jnl`	Uncertainty-Aware Graph Neural Networks: A Multihop Evidence Fusion Approach. IEEE Trans. Neural Networks Learn. Syst. Qingfeng Chen, Shiyuan Li, Yixin Liu, Shirui Pan, Geoffrey I. Webb, Shichao Zhang
2025	A*	`conf`	Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems. EMNLP Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang
2025	J	`jnl`	Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems. CoRR Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang
2025	A*	`conf`	Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. ICLR Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang
2024	A*	`conf`	ARC: A Generalist Graph Anomaly Detector with In-Context Learning. NeurIPS Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
2024	J	`jnl`	ARC: A Generalist Graph Anomaly Detector with In-Context Learning. CoRR Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
2024	J	`jnl`	Data-efficient graph learning: Problems, progress, and prospects. AI Mag. Kaize Ding, Yixin Liu, Chuxu Zhang, Jianling Wang
2024	A*	`conf`	Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise. KDD Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan
2024	J	`jnl`	Emerging trends in federated learning: from model fusion to federated X learning. Int. J. Mach. Learn. Cybern. Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, Lauri Vasankari, Shirui Pan, Guodong Long, Anwar Walid
2024	A*	`conf`	GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. AAAI Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
2024	J	`jnl`	GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
2024	J	`jnl`	Integrating Graphs With Large Language Models: Methods and Prospects. IEEE Intell. Syst. Shirui Pan, Yizhen Zheng, Yixin Liu
2024	A	`conf`	Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CIKM Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
2024	J	`jnl`	Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CoRR Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan
2024	A	`conf`	Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CIKM Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen
2024	J	`jnl`	Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CoRR Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen
2024	J	`jnl`	Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. CoRR Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang
2023	J	`jnl`	Anomaly Detection in Dynamic Graphs via Transformer. IEEE Trans. Knowl. Data Eng. Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent Cheng-Siong Lee
2023	A*	`conf`	Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
2023	A*	`conf`	Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
2023	A	`conf`	GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
2023	J	`jnl`	Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen
2023	J	`jnl`	Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
2023	J	`jnl`	Integrating Graphs with Large Language Models: Methods and Prospects. CoRR Shirui Pan, Yizhen Zheng, Yixin Liu
2023	A*	`conf`	Learning Strong Graph Neural Networks with Weak Information. KDD Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
2023	J	`jnl`	Learning Strong Graph Neural Networks with Weak Information. CoRR Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan
2023	A*	`conf`	PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
2023	J	`jnl`	PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. CoRR Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan
2023	J	`jnl`	Towards Data-centric Graph Machine Learning: Review and Outlook. CoRR Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan
2023	A*	`conf`	Towards Self-Interpretable Graph-Level Anomaly Detection. NeurIPS Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan
2023	J	`jnl`	Towards Self-Interpretable Graph-Level Anomaly Detection. CoRR Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan
2022	J	`jnl`	Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
2022	J	`jnl`	Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
2022	J	`jnl`	Cyclic label propagation for graph semi-supervised learning. World Wide Web Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
2022	J	`jnl`	Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
2022	J	`jnl`	From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen
2022	J	`jnl`	GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. CoRR Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan
2022	J	`jnl`	Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu
2022	A*	`conf`	Towards Unsupervised Deep Graph Structure Learning. WWW Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2022	J	`jnl`	Towards Unsupervised Deep Graph Structure Learning. CoRR Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2021	A	`conf`	ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan
2021	J	`jnl`	Anomaly Detection in Dynamic Graphs via Transformer. CoRR Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Vincent C. S. Lee
2021	J	`jnl`	Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. CoRR Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
2021	J	`jnl`	Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen
2021	J	`jnl`	Graph Self-Supervised Learning: A Survey. CoRR Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu
2020	J	`jnl`	Cyclic Label Propagation for Graph Semi-supervised Learning. CoRR Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu