Yuxiang Ren

Orcid: 0000-0001-8829-3984

According to our database1, Yuxiang Ren authored at least 30 papers between 2019 and 2024.

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Bibliography

2024
The Reconstruction of FY-4A and FY-4B Cloudless Top-of-Atmosphere Radiation and Full-Coverage Particulate Matter Products Reveals the Influence of Meteorological Factors in Pollution Events.
Remote. Sens., September, 2024

Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models.
CoRR, 2024

Characterizing the Influence of Topology on Graph Learning Tasks.
CoRR, 2024

Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization.
CoRR, 2024

MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction.
CoRR, 2024

LogRAG: Semi-Supervised Log-based Anomaly Detection with Retrieval-Augmented Generation.
Proceedings of the IEEE International Conference on Web Services, 2024

CGCL: Collaborative Graph Contrastive Learning Without Handcrafted Graph Data Augmentations.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.
CoRR, 2023

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs).
CoRR, 2023

HRCA: A Heterogeneous Graph-based Adaptive Root Cause Analysis Framework.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Measuring and sampling: A metric-guided subgraph learning framework for graph neural network.
Int. J. Intell. Syst., 2022

Adaptive momentum with discriminative weight for neural network stochastic optimization.
Int. J. Intell. Syst., 2022

2021
ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment.
IEEE Trans. Knowl. Data Eng., 2021

Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning.
CoRR, 2021

Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention.
Proceedings of the International Joint Conference on Neural Networks, 2021

BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2021

Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Constant Force Drawing of Chemical Fibers.
Proceedings of the Cognitive Computing - ICCC 2021, 2021

Label Contrastive Coding Based Graph Neural Network for Graph Classification.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics.
Nucleic Acids Res., 2020

HGAT: Hierarchical Graph Attention Network for Fake News Detection.
CoRR, 2020

Theoretical Investigation on Microcavity Coupler for Terahertz Quantum-Well Infrared Photodetectors.
IEEE Access, 2020

Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Heterogeneous Deep Graph Infomax.
CoRR, 2019

Meta Diagram Based Active Social Networks Alignment.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Deep Heterogeneous Social Network Alignment.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019


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