Rui Miao - RankMe

17 papers A* 4A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Graph Defense Diffusion Model. KDD (1) Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang
2025	J	`jnl`	AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias. IEEE Trans. Pattern Anal. Mach. Intell. Yili Wang, Yaohua Liu, Ninghao Liu, Rui Miao, Ying Wang, Xin Wang
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`	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	J	`jnl`	Graph Defense Diffusion Model. CoRR Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang
2025	A*	`conf`	Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. IJCAI Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang
2025	J	`jnl`	Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. CoRR Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang
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	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`	Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. ICML Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang
2024	J	`jnl`	Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. CoRR Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang
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
2022	A	`conf`	AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training. CIKM Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang
2022	J	`jnl`	Contrastive Graph Convolutional Networks with adaptive augmentation for text classification. Inf. Process. Manag. Yintao Yang, Rui Miao, Yili Wang, Xin Wang
2022	J	`jnl`	Negative samples selecting strategy for graph contrastive learning. Inf. Sci. Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang