Rui Miao

According to our database, Rui Miao authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Graph Defense Diffusion Model.

Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 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

AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias.

Yili Wang, Yaohua Liu, Ninghao Liu, Rui Miao, Ying Wang, Xin Wang

IEEE Trans. Pattern Anal. Mach. Intell., September, 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

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

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space.

Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 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

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

2024

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data.

Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Negative samples selecting strategy for graph contrastive learning.

Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang

Inf. Sci., 2022

Contrastive Graph Convolutional Networks with adaptive augmentation for text classification.

Yintao Yang, Rui Miao, Yili Wang, Xin Wang

Inf. Process. Manag., 2022

AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training.

Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022