🧐 About Me
Lingyuan Meng is a Master student in National University of Defense Technology (NUDT) advised by Prof. Xinwang Liu. Before that, He got his Bachelor degree in the College of Information Science and Technology, Qingdao University of Science and Technology (QUST), in July 2022. With excellent grades and competition awards, he was recommended for admission to National University of Defense Technology (NUDT).
Research Interests: Knowledge Graph, Graph Learning, Multi-Modal Deep Learning, Healthcare AI
🔥 News
- 2024.01: One paper is accepted by TNNLS!
- 2023.12: One paper is accepted by TKDD!
- 2023.12: One paper is accepted by AAAI 2024!
- 2023.07: One paper is accepted by ACM MM 2023!
- 2023.05: One paper is accepted by SIGIR 2023!
📝 Publications
(* indicates equal contribution; # indicates corresponding authorship.)
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#. (TNNLS)
Message Intercommunication for Inductive Relation Reasoning
Ke Liang*, Lingyuan Meng*, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu. (AAAI 2024)
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#. (ACM SIGIR 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.
(ACM MM 2023)
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.
(TKDD)
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.
(Under Review)
Structure guided multi-modal pre-trained transformer for knowledge graph reasoning
Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu*.
(Under Review)
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🎖 Honors and Awards
- 2021.03 Outstanding Student of Shandong Province, Qingdao University of Science and Technology.
- 2021.10 National Scholarship (Top 1%), Qingdao University of Science and Technology.
- 2021.12 Outstanding Squad Leader of Qingdao University of Science and Technology.
- 2022.05 Top 10 Outstanding Students, Qingdao University of Science and Technology.
- 2022.05 Outstanding Graduates of Shandong Province, Qingdao University of Science and Technology.
📖 Educations
- 2022.09 - 2023.03 (now), Master, National University of Defense and Technology, Changsha, China.
- 2018.09 - 2022.06, Undergraduate, Qingdao University of Science and Technology, Qingdao, China.
💬 Services
-PC Member of ACM MM 2023,
-PC Member of ICONIP 2023,
-PC Member of ACM MM 2024,
-PC Member of ICME 2024,
-PC Member of DASFAA 2024,
-PC Member of ICIC 2024.
-Reviewer of IEEE Transactions on Cybernetics.
🎙 Miscellaneous
Travel
I enjoy the time traveling with my families and friends. I am always excited about visiting new places and knowing different cultures.