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Yue Liu 0008
Person information
- affiliation: National University of Defense Technology, China
Other persons with the same name
- Yue Liu — disambiguation page
- Yue Liu 0001
— Macao Polytechnic Institute, China (and 1 more)
- Yue Liu 0002
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
- Yue Liu 0003
— Northeastern University, School of Information Science and Engineering, Shenyang, China (and 1 more)
- Yue Liu 0004
— University of Sheffield, Department of Electronic and Electrical Engineering, UK
- Yue Liu 0005
— Beijing Institute of Technology, Department of Optical Engineering, China
- Yue Liu 0006
— University of Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Yue Liu 0007 — Chinese Academy of Sciences, Department of Space Microwave Remote Sensing System, Institute of Electronics, Beijing, China
- Yue Liu 0009
— Hong Kong University of Science and Technology
- Yue Liu 0010
— University of New South Wales, School of Computer Science and Engineering, Sydney, Australia (and 1 more)
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2020 – today
- 2024
- [j3]Renxiang Guan
, Zihao Li, Wenxuan Tu
, Jun Wang
, Yue Liu
, Xianju Li
, Chang Tang
, Ruyi Feng
:
Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j2]Xihong Yang
, Yiqi Wang
, Yue Liu
, Yi Wen
, Lingyuan Meng
, Sihang Zhou
, Xinwang Liu
, En Zhu
:
Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data 18(7): 162 (2024) - [j1]Ke Liang
, Yue Liu
, Sihang Zhou
, Wenxuan Tu
, Yi Wen
, Xihong Yang
, Xiangjun Dong
, Xinwang Liu
:
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. IEEE Trans. Knowl. Data Eng. 36(1): 226-238 (2024) - [c22]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 - [c21]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 - [c20]Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li:
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI 2024: 15222-15230 - [c19]Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li:
DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. ICDE 2024: 2876-2888 - [c18]Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. ICLR 2024 - [c17]Shengju Yu, Zhibin Dong, Siwei Wang, Xinhang Wan, Yue Liu, Weixuan Liang, Pei Zhang, Wenxuan Tu, Xinwang Liu:
Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering. ICML 2024 - [i25]Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li:
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics. CoRR abs/2406.11906 (2024) - 2023
- [c16]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong
:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. AAAI 2023: 7459-7467 - [c15]Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen:
Hard Sample Aware Network for Contrastive Deep Graph Clustering. AAAI 2023: 8914-8922 - [c14]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng, Xinwang Liu, Liming Fang
, En Zhu:
Cluster-Guided Contrastive Graph Clustering Network. AAAI 2023: 10834-10842 - [c13]Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li:
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR 2023 - [c12]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. ICML 2023: 21794-21812 - [c11]Xihong Yang
, Cheng Tan
, Yue Liu
, Ke Liang
, Siwei Wang
, Sihang Zhou
, Jun Xia
, Stan Z. Li
, Xinwang Liu
, En Zhu
:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia 2023: 319-327 - [c10]Xihong Yang
, Jiaqi Jin
, Siwei Wang
, Ke Liang
, Yue Liu
, Yi Wen
, Suyuan Liu
, Sihang Zhou
, Xinwang Liu
, En Zhu
:
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. ACM Multimedia 2023: 337-346 - [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]Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li:
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS 2023 - [c6]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 - [i24]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Wenxuan Tu, Qun Zheng
, Xinwang Liu, Liming Fang, En Zhu:
Cluster-guided Contrastive Graph Clustering Network. CoRR abs/2301.01098 (2023) - [i23]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) - [i22]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) - [i21]Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu:
Deep Temporal Graph Clustering. CoRR abs/2305.10738 (2023) - [i20]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) - [i19]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. CoRR abs/2305.18405 (2023) - [i18]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) - [i17]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) - [i16]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) - [i15]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang
, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR abs/2308.08963 (2023) - [i14]Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang
, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu:
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. CoRR abs/2308.09000 (2023) - [i13]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
- [c5]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. AAAI 2022: 7603-7611 - [c4]Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng:
Initializing Then Refining: A Simple Graph Attribute Imputation Network. IJCAI 2022: 3494-3500 - [c3]Junpu Zhang, Liang Li
, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu:
Multiple Kernel Clustering with Dual Noise Minimization. ACM Multimedia 2022: 3440-3450 - [i12]Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu, Xihong Yang:
Improved Dual Correlation Reduction Network. CoRR abs/2202.12533 (2022) - [i11]Xihong Yang, Yue Liu, Sihang Zhou, Xinwang Liu, En Zhu:
Mixed Graph Contrastive Network for Semi-Supervised Node Classification. CoRR abs/2206.02796 (2022) - [i10]Junpu Zhang, Liang Li, Siwei Wang, Jiyuan Liu, Yue Liu, Xinwang Liu, En Zhu:
Multiple Kernel Clustering with Dual Noise Minimization. CoRR abs/2207.06041 (2022) - [i9]Jun Xia, Yanqiao Zhu, Yuanqi Du, Yue Liu, Stan Z. Li:
A Systematic Survey of Molecular Pre-trained Models. CoRR abs/2210.16484 (2022) - [i8]Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu:
Relational Symmetry based Knowledge Graph Contrastive Learning. CoRR abs/2211.10738 (2022) - [i7]Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang
, Wenxuan Tu, Stan Z. Li, Xinwang Liu:
A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. CoRR abs/2211.12875 (2022) - [i6]Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong
:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. CoRR abs/2212.00535 (2022) - [i5]Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu:
Contrastive Deep Graph Clustering with Learnable Augmentation. CoRR abs/2212.03559 (2022) - [i4]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) - [i3]Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang
, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen:
Hard Sample Aware Network for Contrastive Deep Graph Clustering. CoRR abs/2212.08665 (2022) - 2021
- [i2]Wenxuan Tu, Sihang Zhou, Yue Liu, Xinwang Liu:
Siamese Attribute-missing Graph Auto-encoder. CoRR abs/2112.04842 (2021) - [i1]Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. CoRR abs/2112.14772 (2021)
2010 – 2019
- 2018
- [c2]Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Generalized Multi-view Unsupervised Feature Selection. ICANN (2) 2018: 469-478 - [c1]Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu:
FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060
Coauthor Index
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last updated on 2024-09-04 01:20 CEST by the dblp team
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