| Precise tuning in platinum-nickel/nickel sulfide interface nanowires for synergistic hydrogen evolution catalysis P Wang, X Zhang, J Zhang, S Wan, S Guo, G Lu, J Yao, X Huang Nature communications 8 (1), 14580, 2017 | 796 | 2017 |
| Tuning nanowires and nanotubes for efficient fuel‐cell electrocatalysis W Wang, F Lv, B Lei, S Wan, M Luo, S Guo Advanced Materials 28 (46), 10117-10141, 2016 | 255 | 2016 |
| FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation S Wan, D Gao, H Gu, D Hu IJCNN2023, 2023 | 6 | 2023 |
| Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning D Gao, S Wan, L Fan, X Yao, Q Yang Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 19832 …, 2024 | 1 | 2024 |
| Byzantine robust aggregation in federated distillation with adversaries QYBC Wenrui Li, Hanlin Gu, Sheng Wan, Zhirong Luan, Wei Xi, Lixin Fan ICDCS 2024, 2024 | | 2024 |
| Label Privacy Source Coding in Vertical Federated Learning D Gao, S Wan, H Gu, L Fan, X Yao, Q Yang ECML PAKDD, 2024 | | 2024 |
| Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending Platforms JH Qian'Ang Mao, Sheng Wan, Daning Hu, Jiaqi Yan ICDM workshop 2023, 2023 | | 2023 |
| Quantifying and Defending against the Privacy Risk in Logit-based Federated Learning S Wan, D Gao, H Gu, L Fan, Q Yang | | |
Professor Shaojun GUOPeking University在 pku.edu.cn 的电子邮件经过验证
