Lingyuan Meng

According to our database, Lingyuan Meng authored at least 25 papers between 2020 and 2026.

Collaborative distances:

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

2026

A Wolf in Sheep's Clothing: Unveiling a Stealthy Backdoor Attack in Subgraph Federated Learning.

Hao Yu, Wenjing Yang, Chuan Ma, Lingyuan Meng, Liang Du, Tao Xiang, Xinwang Liu, Kunlun He

IEEE Trans. Inf. Forensics Secur., 2026

Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning.

Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li, Xinwang Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Multiview Temporal Graph Clustering.

Meng Liu, Ke Liang, Hao Yu, Lingyuan Meng, Siwei Wang, Sihang Zhou, Xinwang Liu

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

From Concrete to Abstract: Multi-View Clustering on Relational Knowledge.

Ke Liang, Lingyuan Meng, Hao Li, Jun Wang, Long Lan, Miaomiao Li, Xinwang Liu, Huaimin Wang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning.

Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu, Jinyan Li

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

MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion.

Ke Liang, Lingyuan Meng, Hao Li, Meng Liu, Siwei Wang, Sihang Zhou, Xinwang Liu, Kunlun He

IEEE Trans. Multim., 2025

Eyes on Islanded Nodes: Better Reasoning via Structure Augmentation and Feature Co-Training on Bi-Level Knowledge Graphs.

Hao Li, Ke Liang, Wenjing Yang, Lingyuan Meng, Yaohua Wang, Sihang Zhou, Xinwang Liu

IEEE Trans. Image Process., 2025

Earthquake Forecasting Based on b Value and Background Seismicity Rate in Yunnan Province, China.

Yuchen Zhang, Rui Wang, Haixia Shi, Miao Miao, Jiancang Zhuang, Ying Chang, Changsheng Jiang, Lingyuan Meng, Danning Li, Lifang Liu, Youjin Su, Zhenguo Zhang, Peng Han

Entropy, 2025

b-Value Evaluation and Applications to Seismic Hazard Assessment.

Ying Chang, Rui Wang, Peng Han, Jinhong Wang, Miao Miao, Zhiyi Zeng, Weiwei Wu, Changsheng Jiang, Lingyuan Meng, Haixia Shi, Katsumi Hattori

Entropy, 2025

SALVG: Latent Variable Gene Augmented Graph Learning for Multi-View Clustering in Spatial Transcriptomics.

Zeyu Zhu, Ke Liang, Lingyuan Meng, Xingchen Hu, Xinwang Liu, Wanwei Liu, Kunlun He

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing.

Lingyuan Meng, Ke Liang, Zeyu Zhu, Xinwang Liu, Wenpeng Lu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Soft Reasoning Paths for Knowledge Graph Completion.

Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning.

Lingyuan Meng, Ke Liang, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu

IEEE Trans. Knowl. Data Eng., December, 2024

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Mixed Graph Contrastive Network for Semi-supervised Node Classification.

Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu

ACM Trans. Knowl. Discov. Data, August, 2024

Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding.

Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu

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

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning.

Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Suyuan Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs.

Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu

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

2023

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning.

Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu

CoRR, 2023

Message Intercommunication for Inductive Relation Reasoning.

Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu

CoRR, 2023

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning.

Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu

CoRR, 2023

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification.

Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal.

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun

CoRR, 2022

2020

Rice Yield Estimation Based on Spaceborne SAR: A Review From 1988 to 2018.

Xuexiao Wu, Prosper Washaya, Long Liu, Kun Li, Yun Shao, Lingyuan Meng, Bailin Hu

IEEE Access, 2020