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ORCIDMeng Liu 0014
Person information
- affiliation: National University of Defense Technology, Changsha, Hunan, China
- affiliation: Heilongjiang University, Harbin, Heilongjiang, China
Other persons with the same name
- Meng Liu — disambiguation page
- Meng Liu 0001
![[0000-0001-9736-8490]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9736-8490")
— Mälardalen University, Västerås, Sweden - Meng Liu 0002 — Huaiyin Normal University, School of Mathematical Science, Huaian, China (and 1 more)
- Meng Liu 0003 — Peking University, School of Electronics Engineering and Computer Science, Cooperative Medianet Innovation Center, Beijing, China
- Meng Liu 0004 — Beijing University of Technology, Faculty of Information Technology, China
- Meng Liu 0005 — Chinese Academy of Science, Institute of Remote Sensing and Digital Earth, Beijing, China
- Meng Liu 0006 — Shandong University, School of Computer Science and Technology, Tsingtao, China (and 1 more)
- Meng Liu 0007 — Shandong University, School of Mechanical, Electrical and Information Engineering, Weihai, China
- Meng Liu 0008 — Shandong University, School of Information Science and Engineering, Qingdao, China
- Meng Liu 0009 — Chinese Academy of Sciences, Institute of Geographic Science and Natural Resources Research, Beijing, China
- Meng Liu 0010 — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing, China
- Meng Liu 0011 — Washington University in St. Louis, MO, USA
- Meng Liu 0012 — Shanghai Jiao Tong University, School of Life Sciences and Biotechnology, 1State Key Laboratory of Microbial Metabolism, Shanghai, China
- Meng Liu 0013 — Beihang University, Beijing, China
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Journal Articles
- 2023
[j2]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 Bioinform. 24(4) (2023)- 2022
- [j1]Meng Liu, Ziwei Quan, Jia-Ming Wu, Yong Liu, Meng Han:
Embedding temporal networks inductively via mining neighborhood and community influences. Appl. Intell. 52(14): 16069-16088 (2022)
Conference and Workshop Papers
- 2024
- [c11]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. AAAI 2024: 8733-8741 - [c10]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. AAAI 2024: 10645-10653 - 2023
- [c9]Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu:
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. ACM Multimedia 2023: 3365-3374 - [c8]Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li:
Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia 2023: 3528-3537 - [c7]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. SIGIR 2023: 1559-1568 - 2022
- [c6]Meng Liu, Jiaming Wu, Yong Liu:
Embedding Global and Local Influences for Dynamic Graphs. CIKM 2022: 4249-4253 - [c5]Jiachen Ma, Yong Liu, Meng Liu, Meng Han:
Curriculum Contrastive Learning for Fake News Detection. CIKM 2022: 4309-4313 - [c4]Wei Fan, Meng Liu, Yong Liu:
A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction. DASFAA (1) 2022: 604-612 - 2021
- [c3]Jiaming Wu, Meng Liu, Jiangting Fan, Yong Liu, Meng Han:
SageDy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks. ICANN (5) 2021: 3-15 - [c2]Meng Liu, Yong Liu:
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. SIGIR 2021: 2202-2206 - 2020
- [c1]Meng Liu, Ziwei Quan, Yong Liu:
Network Representation Learning Algorithm Based on Neighborhood Influence Sequence. ACML 2020: 609-624
Informal and Other Publications
- 2023
- [i12]Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu:
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. CoRR abs/2302.07491 (2023) - [i11]Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu:
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. CoRR abs/2304.10297 (2023) - [i10]Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. CoRR abs/2305.10738 (2023) - [i9]Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu:
Message Intercommunication for Inductive Relation Reasoning. CoRR abs/2305.14074 (2023) - [i8]Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu:
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. CoRR abs/2306.04962 (2023) - [i7]Hao Yu, Chuan Ma, Meng Liu, Xinwang Liu, Zhe Liu, Ming Ding:
G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering. CoRR abs/2306.04984 (2023) - [i6]Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu:
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. CoRR abs/2307.03591 (2023) - [i5]Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li:
Reinforcement Graph Clustering with Unknown Cluster Number. CoRR abs/2308.06827 (2023) - [i4]Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu:
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. CoRR abs/2309.11845 (2023) - 2022
- [i3]Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li:
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. CoRR abs/2211.11214 (2022) - [i2]Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun:
Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. CoRR abs/2212.05767 (2022) - 2021
- [i1]Meng Liu, Yong Liu:
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. CoRR abs/2110.00267 (2021)
Coauthor Index
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