| Heterogeneous deep graph infomax Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang arXiv preprint arXiv:1911.08538, 2019 | 146 | 2019 |
| 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 | 68 | 2020 |
| 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 | 54* | 2020 |
| 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 | 45 | 2021 |
| 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 | 43 | 2020 |
| 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 | 38 | 2021 |
| 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 | 21 | 2023 |
| Meta Diagram based Active Social Networks Alignment Y Ren, CC Aggarwal, J Zhang 35th IEEE International Conference on Data Engineering (ICDE'19), 2019 | 21 | 2019 |
| 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 | 17 | 2019 |
| 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 | 11 | 2023 |
| 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 |
| Heterogeneous deep graph infomax. arXiv 2019 Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang arXiv preprint arXiv:1911.08538, 2019 | 5 | 2019 |
| 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 | 4 | 2023 |
| 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 | 4 | 2019 |
| 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 | 4 | 2019 |
| 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 | 3 | 2022 |
| CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations T Zhang, Y Ren, W Feng, W Du, X Zhang DASFAA'24, 2024 | 2* | 2024 |
| Sculpting Molecules in 3D: A Flexible Substructure Aware Framework for Text-Oriented Molecular Optimization K Zhang, Y Lin, G Wu, Y Ren, X Zhang, X Zhang, W Du arXiv preprint arXiv:2403.03425, 2024 | 2 | 2024 |
| Adaptive momentum with discriminative weight for neural network stochastic optimization J Bai, Y Ren, J Zhang International Journal of Intelligent Systems, 2022 | 2 | 2022 |
| 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 |
Jiawei ZhangUniversity of California, Davis (UC Davis)Verified email at ucdavis.edu