Yue Liu

发表

FISH-MML: Fisher-HSIC Multi-View Metric Learning

Qinghua Hu, Yue Liu, Pengfei Zhu, 2018, IJCAI.

Interpolation-based Correlation Reduction Network for Semi-Supervised Graph Learning

Yue Liu, Xihong Yang, Sihang Zhou, 2022 .

Mixed Graph Contrastive Network for Semi-Supervised Node Classification

Yue Liu, Xihong Yang, Sihang Zhou, 2022, ACM Transactions on Knowledge Discovery from Data.

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal

Yue Liu, Siwei Wang, Sihang Zhou, 2022, 2212.05767.

Contrastive Deep Graph Clustering with Learnable Augmentation

Yue Liu, Siwei Wang, Xihong Yang, 2022, ArXiv.

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

Yue Liu, Huan Jin, Siwei Wang, 2022, AAAI.

Relational Symmetry based Knowledge Graph Contrastive Learning

Yue Liu, Ke Liang, Sihang Zhou, 2022, ArXiv.

ABDPool: Attention-based Differentiable Pooling

Yue Liu, Lu Bai, Lixin Cui, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

The Skyline of Counterfactual Explanations for Machine Learning Decision Models

Chunyan Miao, Qinxu Ding, Yong Liu, 2021, CIKM.

Cluster-guided Contrastive Graph Clustering Network

Yue Liu, Siwei Wang, Xihong Yang, 2023, AAAI.

Hard Sample Aware Network for Contrastive Deep Graph Clustering

Yue Liu, Zhen Wang, Xihong Yang, 2022, ArXiv.

Towards Demystifying Serverless Machine Learning Training

Gustavo Alonso, Ankit Singla, Jiawei Jiang, 2021, SIGMOD Conference.

Hard Sample Aware Network for Contrastive Deep Graph Clustering

Yue Liu, Zhen Wang, Xihong Yang, 2022, AAAI.

SSRNAS: Search Space Reduced One-shot NAS by a Recursive Attention-based Predictor with Cell Tensor-flow Diagram

Kai Zhu, Yue Liu, Zitu Liu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Variance reduction in decentralized training over heterogeneous data

Yue Liu, 2021 .

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal

Yue Liu, Siwei Wang, Sihang Zhou, 2022, ArXiv.

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

Yue Liu, Siwei Wang, Sihang Zhou, 2022, 2212.05767.

Initializing Then Refining: A Simple Graph Attribute Imputation Network

Yue Liu, En Zhu, Zhiping Cai, 2022, IJCAI.

A Novel Data Analytics Oriented Approach for Image Representation Learning in Manufacturing Systems

Tao Wang, Yue Liu, Jingjing Chen, 2022, J. Sensors.

Siamese Attribute-missing Graph Auto-encoder pdf

Sihang Zhou, Wenxuan Tu, Xinwang Liu, 2021, ArXiv.

Deep Temporal Graph Clustering

Yue Liu, Siwei Wang, Sihang Zhou, 2023, ICLR.

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal.

Yue Liu, Siwei Wang, Sihang Zhou, 2022, IEEE transactions on pattern analysis and machine intelligence.

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning

Yue Liu, Sihang Zhou, Xinwang Liu, 2023, ArXiv.

Message Intercommunication for Inductive Relation Reasoning

Yue Liu, Yue Liu, Meng Liu, 2023, ArXiv.

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

Yue Liu, Xiang Dong, Xihong Yang, 2022, IEEE Transactions on Knowledge and Data Engineering.

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering

Yue Liu, Siwei Wang, Sihang Zhou, 2023, ArXiv.

Adding Seemingly Uninformative Labels Helps in Low Data Regimes

Yue Liu, Johan Fredin Haslum, Gisele Miranda, 2020, ICML.

CONVERT: Contrastive Graph Clustering with Reliable Augmentation

Stan Z. Li, Yue Liu, Siwei Wang, 2023, ArXiv.

Dink-Net: Neural Clustering on Large Graphs

Stan Z. Li, Yue Liu, Jun Xia, 2023, ICML.

Improved Dual Correlation Reduction Network

Yue Liu, Xihong Yang, Sihang Zhou, 2022, ArXiv.

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning

Yue Liu, Siwei Wang, Sihang Zhou, 2023, SIGIR.

Reinforcement Graph Clustering with Unknown Cluster Number

Stan Z. Li, Yue Liu, Jun Xia, 2023, ArXiv.

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning

Yue Liu, Xihong Yang, Sihang Zhou, 2023, ArXiv.

DealMVC: Dual Contrastive Calibration for Multi-view Clustering

Yue Liu, Suyuan Liu, Siwei Wang, 2023, 2308.09000.

Relational Symmetry based Knowledge Graph Contrastive Learning

Yue Liu, Ke Liang, Sihang Zhou, 2022, ArXiv.

Learning Complete Protein Representation by Deep Coupling of Sequence and Structure

Stan Z. Li, Yufei Huang, Yue Liu, 2023, bioRxiv.

DealMVC: Dual Contrastive Calibration for Multi-view Clustering

Yue Liu, Suyuan Liu, Siwei Wang, 2023, ACM Multimedia.

CONVERT: Contrastive Graph Clustering with Reliable Augmentation

Stan Z. Li, Yue Liu, Siwei Wang, 2023, ArXiv.

Data Augmentation Based on Attributed Scattering Centers to Train Robust CNN for SAR ATR

Yue Liu, Junya Lv, Yue Liu, 2019, IEEE Access.