Lingyuan Meng is a PhD student at National University of Defense Technology (NUDT), supervised by Prof. Xinwang Liu. He also earned my M.S. degree in Colledge of Computer and from NUDT. His research interests include graph neural networks, AI4Science, and clustering. He has published more than 20 papers including TPAMI, TKDE, and NeuriPS, ICML, CVPR, with 1 ESI Hot Paper, 2 ESI Highly Cited Papers, and 1100 citations.

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Publications

ICML 2026 Spotlight

PhenoBrain: Phenotype-Conditioned Long-Range Communication for Multi-Modal Brain Network Analysis

Lingyuan Meng, Ke Liang, Weijia Shi, Meng Liu, Xinwang Liu*

The Forty-Third International Conference on Machine Learning (ICML 2026 Soptlight, CCF A)

IEEE TKDE 2025

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 Transactions on Knowledge and Data Engineering (IEEE TKDE, CCF A)

AAAI 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*

The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026, CCF A)

IEEE TNNLS 2023

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

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

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS, SCI Q1 Top)

IJCAI 2025 Oral

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 (IJCAI 2025, CCF A)

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Educations