News

• 2025.12, Won the De Ya Student (德雅学子) and Outstanding Graduate of NUDT.
• 2025.08, Will serve as Area Chair for ICLR 2026 and ICASSP 2026.
• 2025.08, One paper is accepted by TPAMI.
• 2025.07, Won the Youth Outstanding Paper Shortlist of WAIC 2025 (40 Papers Worldwide).
• 2025.07, Will serve as Editorial Board Member for IP&M.
• 2025.04, Won the DAAD AInet Fellowship (18 People Worldwide in 2025).
• 2025.03, One paper is selected as ESI Hot Paper and one paper is selected as ESI Highly Cited Paper.
• 2025.01, Will serve as Youth Editorial Board Member for INSC.
• 2024.09, Won the Best Paper of 2024 China Computational Power Conference (10 Papers Nationwide).
• 2023.10, Won the Best Student Paper of CCHI 2023 (2 Papers in Conference).

Awards

• ESI Hot Paper * 1, ESI Highly Cited Papers * 2.
• 2025, DAAD AInet Fellowship (18 People Worldwide in 2025). [News]
• 2025, Youth Outstanding Paper Shortlist (40 Papers Worldwide, First Author), WAIC. [Award]
• 2025/2024/2023/2021, China National Scholarships * 4.
• 2025, De Ya Student (德雅学子), National University of Defense Technology.
• 2025, Outstanding Graduate, National University of Defense Technology.
• 2025, Open-Source Star (10 People University-wide), Openatom Foundation & NUDT. [Award]
• 2025, Excellent Paper (5 Papers in Conference, First Author), GHMIG. [Award]
• 2025, Outstanding Reviewer, Artificial Intelligence and Applications. [Award]
• 2025, Excellent Young Scholar, China Journal of Science and Technology. [News]
• 2025, Commendable Reviewer, KDD 2025. [News]
• 2025, Incentive Plan Paper, Academic Conference on Cyberspace Security.
• 2025, Excellent Poster, CCF-AI China Graph Machine Learning Conference.
• 2025, Cover Article, Advanced Science. [News]
• 2025, Excellent Paper, The 18th Hunan Province Postgraduate Innovation Forum. [News]
2024, Best Paper (10 Papers Nationwide, First Author), China Computational Power Conference. [Award] [News]
2024, Excellent Poster (First Author), World Young Scientist Summit. [Award]
2024, CSC Scholarship for Visiting NUS. [Award]
2024, Excellent Student, National University of Defense Technology.
2024, Most Influential SIGIR Papers, Paper Digest. [News]
2023, Best Student Paper (2 Papers in Conference, First Author), CCHI. [Award] [News]
2022, Excellent Master Thesis, Heilongjiang University.
2021, First SIGIR Paper and First CCF Rank A Student Paper in Heilongjiang University (First Author). [News]

Services

Journal

• Editorial Board Member of IP&M (一区Top, CCF B).
• Youth Editorial Board Member of INSC (二区).
• Reviewer of TPAMI, TKDE, AIJ, TOIS, etc.
• Reviewer of TNNLS, TCYB, TMM, TCSVT, TKDD, TITS, TOMM, TETCI, TCE, etc.
• Reviewer of PR, NN, ML, INS, KBS, ESWA, FGCS, NEUCOM, APIN, EAAI, I&M, etc.
• Reviewer of TMLR, INFFUS, ASOC, DMLR, COMIND, MIR, CIBM, etc.

Conference

• Area Chair of ICLR'26, ICASSP'26, COLM'25, BMVC'25, IJCNN'25, ICIC'24-25.
• Reviewer of NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, AAAI, IJCAI, ACM MM, etc.
• Reviewer of EMNLP, WSDM, CIKM, MICCAI, COLING, ECML-PKDD, CogSci, ICME, etc.
• Reviewer of DASFAA, AISTATS, LOG, ISBI, ACML, BigData, CAC, MLNLP, etc.

Projects

Open-Source Repositories

• Deep Temporal Graph Clustering.
• TGC | Deep Temporal Graph Clustering. (ICLR'24, 100+ Stars) [Paper] [Code]
• Data4TGC | All public datasets for TGC task. [Code]
• BenchTGC | Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets. (TPAMI'25) [Paper] [Code]
• MVTGC | Multiview Temporal Graph Clustering. (TNNLS'25) [Paper] [Code]
• Awesome Temporal Graph Learning. [Code]
• Awesome Knowledge Graph Reasoning. [Code]

Talks

• Deep Temporal Graph Clustering.
# Related Works: TGC, BenchTGC, MVTGC.
• 2025.11, Young Scholars Forum on Artificial Intelligence, Zhengzhou, Organized by Henan University. [News]
• 2025.08, Qingfan Forum, Online, Organized by CAA. [News]
• 2024.10, Excellent Doctoral Student Forum, Urumqi, Organized by PRCV 2024. [News]
• 2024.04, Temporal Graph Reading Group, Online, Organized by McGill University & Mila. [News]
• 2024.03, AI TIME Youth PhD Talk, Online, Organized by Tsinghua University. [Video] [News]
• Unsupervised Temporal Graph Learning.
• 2025.12, Hosted by Prof. Jinrong Cui (South China Agricultural University), Online.
• 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]

Publications

(*: Corresponding Author, #: Co-First Author, [C]: Conference, [J]: Journal.)

Representative Works

• [J] Meng Liu, Ke Liang, Siwei Wang, Xingchen Hu, Sihang Zhou, Xinwang Liu. Deep Temporal Graph Clustering: A Comprehensive benchmark and Datasets. IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI. Excellent Paper (5 Papers in Conference) of GHMIG 2025.
• [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 (10 Papers Nationwide) of 2024 China Computational Power Conference, Youth Outstanding Paper Shortlist (40 Papers Worldwide) of WAIC 2025, Excellent Poster of 2024 World Young Scientist Summit.
• [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. ESI Highly Cited Paper.
• [J] Meng Liu, Ke Liang, Hao Yu, Lingyuan Meng, Siwei Wang, Sihang Zhou, Xinwang Liu. Multiview Temporal Graph Clustering. 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.

2025

1. [J] Hao Yu, Chuan Ma, Meng Liu, Tianyu Du, Ming Ding, Tao Xiang, Shouling Ji, Xinwang Liu. GuardFL: Safeguarding Federated Learning against Backdoor Attacks via Attributed Client Graph Clustering. IEEE Transactions on Information Forensics and Security, TIFS. (一区Top, IF=8, CCF A)
2. [J] Yue Liu, Ke Liang, Jun Xia, Meng Liu, Xihong Yang, Xinwang Liu, Sihang Zhou, Stan Z Li. SKIP: A Prototype-based Scalable Knowledge Graph Representation Learning Method. IEEE Transactions on Neural Networks and Learning Systems, TNNLS. (一区Top, IF=8.9, CCF B)
3. [C] Zeyu Zhu, Ke Liang, Lingyuan Meng, Meng Liu, Suyuan Liu, Renxiang Guan, Miaomiao Li, Wanwei Liu, Xinwang Liu. SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering. The 39th Annual Conference on Neural Information Processing Systems, NeurIPS 2025. (CCF A, Acceptance Rate=24.5%)
4. [J] Junyi Yan, Enguang Zuo, Ke Liang, Meng Liu, Miaomiao Li, Xinwang Liu, Xiaoyi Lv, Kai Lu. Address Anomalies at Critical Crossroads for Graph Anomaly Detection. IEEE Transactions on Knowledge and Data Engineering, TKDE. (一区Top, IF=10.4, CCF A, Excellent Paper of The 18th Hunan Province Postgraduate Innovation Forum)
5. [J] Meng Liu, Ke Liang, Siwei Wang, Xingchen Hu, Sihang Zhou, Xinwang Liu. Deep Temporal Graph Clustering: A Comprehensive benchmark and Datasets. IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI. (一区Top, IF=18.6, CCF A, Excellent Paper (5 Papers in Conference) of GHMIG 2025) [Code]
6. [J] 于灏, 梁科, 刘猛, 孟令源, 马川, 刘新旺. DCGBA: 基于分布一致性的图联邦学习后门攻击算法. (入选2025网络空间安全学术大会论文激励计划)
7. [J] Meng Liu, Ke Liang, Hao Yu, Lingyuan Meng, Siwei Wang, Sihang Zhou, Xinwang Liu. Multiview Temporal Graph Clustering. IEEE Transactions on Neural Networks and Learning Systems, TNNLS. (一区Top, IF=8.9, CCF B) [Code]
8. [C] Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu. On the Adversarial Robustness of Multi-Kernel Clustering. The 42nd International Conference on Machine Learning, ICML 2025. (CCF A, Acceptance Rate=26.9%)
9. [C] Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu. Enhanced then Progressive Fusion with View Graph for Multi-View Clustering. The 42nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025. (CCF A, Acceptance Rate=22.1%)
10. [J] Meng Liu, Yong Liu, Qianqian Ren, Meng Han. Rethinking Multi-Level Information Fusion in Temporal Graphs: Pre-Training Then Distilling for Better Embedding. Information Fusion. (一区Top, IF=15.5, CAAI A)
11. [J] Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He. Integrative Multi-Omics and Routine Blood Analysis Using Deep Learning: Cost-Effective Early Prediction of Chronic Disease Risks. Advanced Science. (一区Top, IF=14.3, Cover Article)

2024

[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 A)

[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 B)

[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 A, Acceptance Rate=26.2%)

[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 A, ESI Hot Paper, ESI Highly Cited Paper, Excellent Poster of 2025 CCF-AI China Graph Machine Learning Conference, 300+ Citations, 1400+ Stars) [Code]

[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 B, ESI Highly Cited Paper, 100+ Citations) [Code]

[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 A, Acceptance Rate=31.0%, Best Paper (10 Papers Nationwide) of 2024 China Computational Power Conference, Youth Outstanding Paper Shortlist (40 Papers Worldwide) of WAIC 2025, Excellent Poster of 2024 World Young Scientist Summit, 100+ Citations, 100+ Stars) [Code]

[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 B)

[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 A, Acceptance Rate=23.8%)

[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 A, Acceptance Rate=23.8%)

2023

[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 A, Best Student Paper (2 Papers in Conference) of CCHI 2023)

[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 A, Acceptance Rate=29.3%) [Code]

[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 A, Acceptance Rate=29.3%)

[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 B)

[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 A, Acceptance Rate=20.1%, Most Influential SIGIR Papers by Paper Digest, 100+ Citations)

2022

[Book] 刘勇, 刘猛. 图模式挖掘技术. 哈尔滨工业大学出版社. [Book]

[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 B, Short Paper, Acceptance Rate=29.0%)

[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 B, Short Paper, Acceptance Rate=29.0%)

[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 B, Short Paper, Acceptance Rate=27.2%)

2021

[J] Meng Liu, Ziwei Quan, Jiaming Wu, Yong Liu, Meng Han. Embedding Temporal Networks Inductively via Mining Neighborhood and Community Influences. Applied Intelligence. (二区, IF=5.0, CCF C)

[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 A, Short Paper, Oral, Acceptance Rate=27.6%, First SIGIR Paper and First CCF Rank A Student Paper in Heilongjiang University) [Code]