Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective R Wei, H Yin, J Jia, AR Benson, P Li
Proceedings of the 36th International Conference on Neural Information …, 2022
28 2022 Tedm-pu: A tax evasion detection method based on positive and unlabeled learning Y Wu, Q Zheng, Y Gao, B Dong, R Wei, F Zhang, H He
2019 IEEE international conference on big data (Big Data), 1681-1686, 2019
16 2019 Unsupervised conditional adversarial networks for tax evasion detection R Wei, B Dong, Q Zheng, X Zhu, J Ruan, H He
2019 IEEE international conference on big data (Big Data), 1675-1680, 2019
15 2019 Self-supervision meets adversarial perturbation: A novel framework for anomaly detection Y Wang, C Qin, R Wei, Y Xu, Y Bai, Y Fu
Proceedings of the 31st ACM International Conference on Information …, 2022
10 2022 SLA Y Wang, C Qin, R Wei, Y Xu, Y Bai, Y Fu
IEEE Transactions on Knowledge and Data Engineering, 2022
7 2022 A novel tax evasion detection framework via fused transaction network representation Y Wu, B Dong, Q Zheng, R Wei, Z Wang, X Li
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
7 2020 ABR-HIC: attention based bidirectional RNN for Hierarchical industry classification R Wei, Q Zheng, B Dong, K Yang, H He, J Ruan
2019 IEEE International Conference on Big Data (Big Data), 1527-1536, 2019
5 2019 Differentially Private Graph Diffusion with Applications in Personalized PageRanks R Wei, E Chien, P Li
Advances in Neural Information Processing Systems, 2024
3 2024 On the inherent privacy properties of discrete denoising diffusion models R Wei, E Kreačić, H Wang, H Yin, E Chien, VK Potluru, P Li
Transactions on Machine Learning Research, 2024
3 2024 NEUD-TRI: network embedding based on upstream and downstream for transaction risk identification J An, Q Zheng, R Wei, B Dong, X Li
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
3 2020 Understanding non-linearity in graph neural networks from the perspective of bayesian inference R Wei, H Yin, J Jia, AR Benson, P Li
Proceedings of the 36th International Conference on Neural Information …, 2022
2 2022 Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning R Wei, M Li, M Ghassemi, E Kreačić, Y Li, X Yue, B Li, VK Potluru, P Li, ...
arXiv preprint arXiv:2412.08559, 2024
1 2024 Guarding multiple secrets: Enhanced summary statistic privacy for data sharing S Wang, R Wei, M Ghassemi, E Kreacic, VK Potluru
arXiv preprint arXiv:2405.13804, 2024
1 2024 Learning Scalable Structural Representations for Link Prediction with Bloom Signatures T Zhang, H Yin, R Wei, P Li, A Shrivastava
2024 Proceedings of the ACM Web Conference, 2023
1 2023 Model Generalization on Text Attribute Graphs: Principles with Large Language Models H Wang, S Liu, R Wei, P Li
arXiv preprint arXiv:2502.11836, 2025
2025 Privately Learning from Graphs with Applications in Fine-tuning Large Language Models H Yin, R Wei, E Chien, P Li
arXiv preprint arXiv:2410.08299, 2024
2024 Privately Learning from Graphs with Applications in Fine-tuning Large Pretrained Models H Yin, R Wei, E Chien, P Li
Pan LiGeorgia Institute of Technology, Purdue UniversityAdresă de e-mail confirmată pe gatech.edu