News

• 2024.04, One paper is accepted by TNNLS.
• 2024.03, Will serve as SPC for ICIC 2024.
• 2024.03, Will talk at AI TIME and Temporal Graph Reading Group.
• 2024.01, One paper is accepted by ICLR 2024.
• 2024.01, Will serve as PC Member for ICML 2024, KDD 2024, and IJCAI 2024.
• 2023.11, I won the China National Scholarship.
• 2023.10, I won the Best Student Paper of CCHI 2023.
• 2023.07, Two papers are accepted by ACM MM 2023.
• 2022.08, Two papers are accepted by CIKM 2022.
• 2022.06, I won the Excellent Master Thesis of Heilongjiang University.

Experience

• 2022.09 - Now, Ph.D. candidate in Computer Science and Technology (Supervisor: Xinwang Liu), National University of Defense Technology.
• 2019.09 - 2022.06, M.S. in Computer Science and Technology (Supervisor: Yong Liu), Heilongjiang University.
• 2015.09 - 2019.06, B.E. in Software Engineering, Henan University of Economics and Law.

Awards

• 2023, China National Scholarship. [Award]
• 2023, Best Student Paper (Ratio 2/305), CCHI 2023. [News] [Award]
• 2022, Excellent Master Thesis (Top 5%), Heilongjiang University.
• 2021, China National Scholarship. [Award]
• 2021, First SIGIR Paper and First CCF Rank A Student Paper, Heilongjiang University.
• 2020, First Prize Scholarship (Rank 1/41), Heilongjiang University.
• 2018, Excellent Social Practice Team, Communist Youth League Central Committee & China Telecom.
• 2014, Excellent Student Cadre, Henan Provincial Department of Education.

Services

• Conference Senior PC Members of ICIC'24.
• Student Member of CAAI Youth Work Committee.
• Journal Reviewers of TKDE, TOIS, TNNLS, TOMM, PR, TMLR, etc.
• Journal Reviewers of NN, INS, ESWA, FGCS, CIBM, NEUCOM, EAAI, etc.
• Journal Reviewers of JoCCASA, UAAI, AIA, etc.
• Conference PC Members of NeurIPS'23, ICML'24, ICLR'24, KDD'24, etc.
• Conference PC Members of AAAI'24, IJCAI'24, ACM MM'23/24, WSDM'24, CIKM'23/24, MICCAI'24, ICME'24, etc.
• Conference PC Members of DASFAA'24, CogSci'24, ACML'23/24, ICPR'24, ICONIP'23, IJCNN'23/24, CAC'23, etc.

Projects

Research Fundings

• 2021.05 - 2022.05, Temporal Network Representation Learning for Influence Mining, Principle Investigator.
  Postgraduate Scientific Research Innovation Key Project, Heilongjiang University.

Open-Source Repositories

• Data4TGC. [Github]
• Deep Temporal Graph Clustering. [Github]
• Awesome Temporal Graph Learning. [Github]
• Chinese Reading Notes of Graph Learning. [Github]
• Awesome Knowledge Graph Reasoning. [Github]

Talks

• Deep Temporal Graph Clustering.
• 2024.04, Temporal Graph Reading Group, Online, Organized by McGill University & Mila. [Slide] [Agenda]
• 2024.03, ICLR 2024 Pre-Presentation (AI TIME), Online, Organized by Tsinghua University. [Video] [Agenda]
• Structural Embedding Pre-Training for Deep Temporal Graph Learning.
• 2023.10, The 5th China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI 2023), Nanjing, Organized by NSFC & CAA & CSCS. [Slide]
• Machine Learning on Temporal Graphs.
• 2022.10, Mindspore Study Group (MSG), Online, Organized by Huawei. [Video] [Slide]
• Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences.
• 2021.05, ACL-IJCAI-SIGIR Top Conference Paper Presentation (AIS 2021), Beijing, Organized by CIPS & Tencent. [Slide]

Selected Publications

(*: corresponding author, [C]: Conference, [J]: Journal.)

Representative Works

• [C] Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu. Deep Temporal Graph Clustering. The 12th International Conference on Learning Representations, ICLR 2024. (CAA/THU Rank A, Acceptance Rate=31.0%) [Paper] [Code]

Under Review

• [J] Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu. A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal. [Paper] [Code]
• [C] Hao Yu, Chuan Ma, Meng Liu, Xinwang Liu, Zhe Liu, Ming Ding. G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering. [Paper]

2024

1. [J] Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang Zhou, Xinbiao Gan, Xinwang Liu, Kunlun He. Self-Supervised Temporal Graph Learning with Temporal and Structural Intensity Alignment. IEEE Transactions on Neural Networks and Learning Systems, TNNLS. (IF=10.4, CCF Rank B, Accepted in Apr. 2024) [Paper]
2. [C] Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu. Deep Temporal Graph Clustering. The 12th International Conference on Learning Representations, ICLR 2024. (CAA/THU Rank A, Acceptance Rate=31.0%) [Paper] [Code]
3. [J] Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu, Jinyan Li. SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. IEEE Transactions on Neural Networks and Learning Systems, TNNLS. (IF=10.4, CCF Rank B, Accepted in Jan. 2024)
4. [C] Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu. Hawkes-enhanced Spatial-Temporal Hypergraph Contrastive Learning based on Criminal Correlations. The 38th AAAI Conference on Artificial Intelligence, AAAI 2024. (CCF Rank A, Acceptance Rate=23.8%)
5. [C] Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu. MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. The 38th AAAI Conference on Artificial Intelligence, AAAI 2024. (CCF Rank A, Acceptance Rate=23.8%)

2023

6. [C] Meng Liu, Wenxuan Tu, Ke Liang, Xinwang Liu. Structural Embedding Pre-Training for Deep Temporal Graph Learning. The 5th China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2023. (CAA Rank A, Best Student Paper, Ratio 2/305) [Paper] [Award]
7. [C] Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, WenxuanTu, Sihang Zhou, Xinwang Liu. TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. The 31st ACM International Conference on Multimedia, ACM MM 2023. (CCF Rank A, Acceptance Rate=29.3%) [Paper] [Code]
8. [C] Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z.Li. Reinforcement Graph Clustering with Unknown Cluster Number. The 31st ACM International Conference on Multimedia, ACM MM 2023. (CCF Rank A, Acceptance Rate=29.3%)
9. [C] Pingping Yang, Jiachen Ma, Yong Liu, Meng Liu. Multi-Modal Transformer for Fake News Detection. Mathematical Biosciences and Engineering, MBE. (IF=2.6, Accepted in Jun. 2023)
10. [J] Dayu Hu, Ke Liang, Sihang Zhou, Wenxuan Tu, Meng Liu, Xinwang Liu. scDFC: A Deep Fusion Clustering Method for Single-Cell RNA-Seq Data. Briefings in Bioinformatics, BIB. (IF=9.5, CCF Rank B, Accepted in May. 2023)
11. [C] Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu. Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023. (CCF Rank A, Acceptance Rate=20.1%)

2022

12. [Book] 刘勇, 刘猛. 图模式挖掘技术. 哈尔滨工业大学出版社. [Book]
13. [C] Meng Liu, Jiaming Wu, Yong Liu. Embedding Global and Local Influences for Dynamic Graphs. The 31st ACM International Conference on Information and Knowledge Management, CIKM 2022. (CCF Rank B, Short Paper, Acceptance Rate=29.0%) [Paper]
14. [C] Jiachen Ma, Yong Liu, Meng Liu, Meng Han. Curriculum Contrastive Learning for Fake News Detection. The 31st ACM International Conference on Information and Knowledge Management, CIKM 2022. (CCF Rank B, Short Paper, Acceptance Rate=29.0%)
15. [C] Wei Fan, Meng Liu, Yong Liu. A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction. The 27th International Conference on Database Systems for Advanced Applications, DASFAA 2022. (CCF Rank B, Short Paper, Acceptance Rate=27.2%)

2021

16. [J] Meng Liu, Ziwei Quan, Jiaming Wu, Yong Liu, Meng Han. Embedding Temporal Networks Inductively via Mining Neighborhood and Community Influences. Applied Intelligence, APIN. (IF=5.0, CCF Rank C, Accepted in Dec. 2021) [Paper]
17. [C] Meng Liu, Yong Liu. Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021. (CCF Rank A, Short Paper, Acceptance Rate=27.6%, First SIGIR Paper and First CCF Rank A Student Paper in HLJU) [Paper] [Code]
18. [C] Jiaming Wu, Meng Liu, Jiangting Fan, Yong Liu, Meng Han. Sagedy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks. The 30th International Conference on Artificial Neural Networks, ICANN 2021. (CCF Rank C, Acceptance Rate=53.4%)

2020

19. [C] Meng Liu, Ziwei Quan, Yong Liu. Network Representation Learning Algorithm Based on Neighborhood Influence Sequence. The 12th Asian Conference on Machine Learning, ACML 2020. (CCF Rank C, Acceptance Rate=31.0%) [Paper]