Yiming Xu - RankMe

17 papers A* 4A 1C 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. CoRR Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng
2025	A*	`conf`	Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection. ACM Multimedia Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong
2025	J	`jnl`	Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection. CoRR Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong
2025	A*	`conf`	Out-of-Distribution Generalization on Graphs via Progressive Inference. AAAI Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen
2025	J	`jnl`	Out-of-Distribution Generalization on Graphs via Progressive Inference. CoRR Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen
2025	A*	`conf`	Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. AAAI Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025	J	`jnl`	Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. CoRR Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025	J	`jnl`	TED: related party transaction guided tax evasion detection on heterogeneous graph. Data Min. Knowl. Discov. Yiming Xu, Bin Shi, Bo Dong, Jiaxiang Wang, Hua Wei, Qinghua Zheng
2025	A	`conf`	Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. ECAI Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2025	J	`jnl`	Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. CoRR Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2024	J	`jnl`	CLDG: Contrastive Learning on Dynamic Graphs. CoRR Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng
2024	J	`jnl`	Learning dynamic graph representations through timespan view contrasts. Neural Networks Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong
2023	C	`conf`	APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning. ICMLA Bo Dong, Yiming Xu, Sunyi Chi, Zhenyu Shi, Zheng Du
2023	J	`jnl`	APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning. CoRR Sunyi Chi, Bo Dong, Yiming Xu, Zhenyu Shi, Zheng Du
2023	J	`jnl`	An edge feature aware heterogeneous graph neural network model to support tax evasion detection. Expert Syst. Appl. Bin Shi, Bo Dong, Yiming Xu, Jiaxiang Wang, Yunfan Wang, Qinghua Zheng
2023	A*	`conf`	CLDG: Contrastive Learning on Dynamic Graphs. ICDE Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng
2023	—	`conf`	DYGL: A Unified Benchmark and Library for Dynamic Graph. APWeb/WAIM (3) Teng Ma, Bin Shi, Yiming Xu, Zihan Zhao, Siqi Liang, Bo Dong