News

• 2024.09, I won the Best Paper of 2024 China Computational Power Conference.
• 2024.09, Will talk at Xiamen University and PRCV 2024.
• 2024.07, I won the CSC Scholarship.
• 2024.06, One paper is accepted by TPAMI.
• 2024.04, One paper is accepted by TNNLS.
• 2024.03, Will serve as SPC for ICIC 2024 and ACAIT 2024.
• 2024.01, One paper is accepted by ICLR 2024.
• 2024.01, Will serve as Reviewer 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.

Experience

• 2022-Now, Ph.D. candidate in Computer Science and Technology (Supervisor: Xinwang Liu), National University of Defense Technology.
• 2024-2025, Joint Ph.D. student via CSC (Supervisor: Beng Chin OOI), National University of Singapore.
• 2019-2022, M.S. in Computer Science and Technology (Supervisor: Yong Liu), Heilongjiang University.
• 2015-2019, B.E. in Software Engineering, Henan University of Economics and Law.

Awards

• 2024, Excellent Graduate Scholarship, National University of Defense Technology.
• 2024, Best Paper, China Computational Power Conference. [News]
• 2024, CSC Scholarship for Visiting NUS.
• 2024, Most Influential SIGIR Papers, Paper Digest. [News]
• 2023, China National Scholarship.
• 2023, Best Student Paper (Top 1%), CCHI 2023. [News]
• 2022, Excellent Master Thesis (Top 5%), Heilongjiang University.
• 2021, China National Scholarship.
• 2021, First SIGIR Paper and First CCF Rank A Student Paper in Heilongjiang University.
• 2020, Excellent Graduate Scholarship (Rank 1/41), Heilongjiang University.
• 2018, Excellent Social Practice Team, CCYL & China Telecom.
• 2014, Excellent Student Cadre, Henan Provincial Department of Education.

Services

• Conference Meta Reviewer of ICIC'24, ACAIT'24, ICAI'24.
• Student Member of CAAI Youth Work Committee.
• Journal Reviewer of TKDE, TOIS, etc.
• Journal Reviewer of TNNLS, TMM, TCSVT, TOMM, PR, NN, IP&M, ML, INS, etc.
• Journal Reviewer of KBS, ESWA, FGCS, NEUCOM, EAAI, I&M, etc.
• Journal Reviewer of TMLR, INFFUS, ASOC, DMLR, MIR, CIBM, JOCC, UAAI, MST, CMC, PHYCOM, LRE, etc.
• Conference Reviewer of NeurIPS'23-24, ICML'24, ICLR'24-25, KDD'24-25, AAAI'24-25, IJCAI'24, ACM MM'23-24, etc.
• Conference Reviewer of EMNLP'24, WSDM'24, CIKM'23-24, MICCAI'24, COLING'24, CogSci'24, ICME'24, ICASSP'25, DASFAA'24, etc.
• Conference Reviewer of AISTATS'25, LOG'24, ACML'23-24, ICPR'24, IJCNN'23-24, ICONIP'23, CAC'23, NLDL'24-25, etc.

Projects

Research Fundings

• 2021-2022, Postgraduate Scientific Research Innovation Key Project (Preside), Heilongjiang University.

Open-Source Repositories

• Data4TGC. [Github]
• Deep Temporal Graph Clustering. [Github]
• Awesome Knowledge Graph Reasoning. [Github]

Talks

• Deep Temporal Graph Clustering.
• 2024.10, Excellent Doctoral Student Forum, Urumqi, Organized by PRCV 2024. [News]
• 2024.05, SciSci AI Workshop, Online, Organized by SciSci International AI Learning and Communication Group. [Video] [News]
• 2024.04, Temporal Graph Reading Group, Online, Organized by McGill University & Mila. [Slide] [News]
• 2024.03, AI TIME Youth PhD Talk, Online, Organized by Tsinghua University. [Video] [News]
• Unsupervised Temporal Graph Learning.
• 2024.09, Excellent Doctoral Student Forum, Xiamen, Organized by Xiamen University. [News]
• 2022.10, Mindspore Study Group (MSG), Online, Organized by Huawei. [Video] [News]
• TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification.
• 2024.07, VALSE Paper Overview, Online, Organized by CAAI & CSIG. [Video] [News]
• 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]

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. Best Paper of 2024 China Computational Power Conference.
• [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.
• [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.
• [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. First SIGIR Paper and First CCF Rank A Student Paper in Heilongjiang University.
• [C] Meng Liu, Wenxuan Tu, Ke Liang, Xinwang Liu. Structural Embedding Pre-Training for Deep Temporal Graph Learning. The 2023 China Automation Congress, CAC 2023. Best Student Paper of CCHI 2023 (Top 1%).

Under Review Works

• [J] Meng Liu, Ke Liang, Hao Yu, Lingyuan Meng, Siwei Wang, Sihang Zhou, Xinwang Liu. Multi-View Temporal Graph Clustering.
• [J] Meng Liu, Ke Liang, Siwei Wang, Xingchen Hu, Sihang Zhou, Xinwang Liu. Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets.
• [J] Zhibin Dong, Pei Li, Zhihan Wang, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlie Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Kai Guo, Xinwang Liu, En Zhu. Integrative Multi-Omics and Multicenter Routine Blood Analysis: Pioneering Early Detection of Chronic Disease Risks in Healthy Populations.
• [J] Hao Yu, Chuan Ma, Meng Liu, Tianyu Du, Ming Ding, Tao Xiang, Shouling Ji, Xinwang Liu. G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering. [Paper]

2024

1. [J] Lingyuan Meng, Ke Liang, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu. FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. IEEE Transactions on Knowledge and Data Engineering, TKDE. (二区, IF=8.9, CCF Rank A, Accepted in Sep. 2024)
2. [J] Ke Liang, Lingyuan Meng, Hao Li, Meng Liu, Siwei Wang, Sihang Zhou, Xinwang Liu, Kunlun He. MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion. IEEE Transactions on Multimedia, TMM. (一区Top, IF=8.4, CCF Rank B, Accepted in Aug. 2024)
3. [C] Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Siwei Wang, Suyuan Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu. Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. The 32nd ACM International Conference on Multimedia, ACM MM 2024. (CCF Rank A, Acceptance Rate=26.2%)
4. [J] 刘猛, 梁科, 孟令源, 李昊, 周思航, 刘新旺. 扩散策略增强的多视角图聚类. 南京大学学报自然科学版. (中文核心)
5. [J] Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He. A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI. (一区Top, IF=20.8, CCF Rank A, Accepted in Jun. 2024) [Paper] [Code]
6. [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. (一区Top, IF=10.4, CCF Rank B, Accepted in Apr. 2024) [Paper] [Code]
7. [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. (CAAI/THU Rank A, Acceptance Rate=31.0%, Best Paper of 2024 China Computational Power Conference) [Paper] [Code]
8. [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. (一区Top, IF=10.4, CCF Rank B, Accepted in Jan. 2024)
9. [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%)
10. [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

11. [C] Meng Liu, Wenxuan Tu, Ke Liang, Xinwang Liu. Structural Embedding Pre-Training for Deep Temporal Graph Learning. The 2023 China Automation Congress, CAC 2023. (CAA Rank A, Best Student Paper of CCHI 2023, Top 1%)
12. [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]
13. [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%)
14. [C] Pingping Yang, Jiachen Ma, Yong Liu, Meng Liu. Multi-Modal Transformer for Fake News Detection. Mathematical Biosciences and Engineering, MBE. (四区, IF=2.6, Accepted in Jun. 2023)
15. [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. (二区Top, IF=9.5, CCF Rank B, Accepted in May. 2023)
16. [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%, Most Influential SIGIR Papers by Paper Digest)

2022

17. [Book] 刘勇, 刘猛. 图模式挖掘技术. 哈尔滨工业大学出版社. [Book]
18. [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]
19. [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%)
20. [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

21. [J] Meng Liu, Ziwei Quan, Jiaming Wu, Yong Liu, Meng Han. Embedding Temporal Networks Inductively via Mining Neighborhood and Community Influences. Applied Intelligence, APIN. (二区, IF=5.0, CCF Rank C, Accepted in Dec. 2021) [Paper]
22. [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 Heilongjiang University) [Paper] [Code]
23. [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

24. [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]