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Yuxiang Ren
Yuxiang Ren
Researcher in Huawei Technologies, 2012 Labs
Dirección de correo verificada de ifmlab.org - Página principal
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Heterogeneous deep graph infomax
Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang
arXiv preprint arXiv:1911.08538, 2019
1162019
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
Y Ren, B Wang, J Zhang, Y Chang
The 20th IEEE International Conference on Data Mining (ICDM'20), 2020
532020
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention
Y Ren, J Zhang
2021 International Joint Conference on Neural Networks (IJCNN' 21), 2020
43*2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
J Bai, Y Ren, J Zhang
2021 International Joint Conference on Neural Networks (IJCNN'21), 2020
342020
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Y Ren, H Zhu, J Zhang, P Dai, L Bo
37th IEEE International Conference on Data Engineering (ICDE'21), 2021
322021
Label Contrastive Coding based Graph Neural Network for Graph Classification
Y Ren, J Bai, J Zhang
The 26th International Conference on Database Systems for Advanced …, 2021
252021
Meta Diagram based Active Social Networks Alignment
Y Ren, CC Aggarwal, J Zhang
35th IEEE International Conference on Data Engineering (ICDE'19), 2019
202019
ActiveIter: Meta Diagram based Active Learning in Social Networks Alignment
Y Ren, C Aggarwal, J Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
152019
Empower text-attributed graphs learning with large language models (llms)
J Yu, Y Ren, C Gong, J Tan, X Li, X Zhang
arXiv preprint arXiv:2310.09872, 2023
72023
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization
J Bai, Y Ren, J Zhang
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
6*2021
Large language models as topological structure enhancers for text-attributed graphs
S Sun, Y Ren, C Ma, X Zhang
arXiv preprint arXiv:2311.14324, 2023
32023
Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection
L Meng, Y Ren, J Zhang
International Conference on Database Systems for Advanced Applications, 397-414, 2023
32023
Deep heterogeneous social network alignment
L Meng, Y Ren, J Zhang, F Ye, SY Philip
2019 IEEE First International Conference on Cognitive Machine Intelligence …, 2019
32019
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network
J Bai, Y Ren, J Zhang
International Journal of Intelligent Systems, 2022
22022
Adaptive momentum with discriminative weight for neural network stochastic optimization
J Bai, Y Ren, J Zhang
International Journal of Intelligent Systems, 2022
22022
Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning
Y Ren, J Zhang
arXiv preprint arXiv:2111.03262, 2021
22021
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization
J Bai, Y Ren, J Zhang
2020 IEEE/ACM International Conference on Advances in Social Network …, 2020
2*2020
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
Y Ren, L Meng, J Zhang
31st ACM Conference on Hypertext and Social Media (HT’20), 2019
12019
HRCA: A Heterogeneous Graph-based Adaptive Root Cause Analysis Framework
E Yu, H Dong, Y Ren, M Yan, X Zhang, Y Yang, L Yue, Z Huang
2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023
2023
Data fusion and analysis engine for vehicle sensors
LA Tang, Y Chen, W Cheng, Z Chen, H Chen, Y Kobayashi, Y Ren
US Patent App. 17/961,169, 2023
2023
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Artículos 1–20