| Present situation and future prospect of renewable energy in China D Zhang, J Wang, Y Lin, Y Si, C Huang, J Yang, B Huang, W Li Renewable and Sustainable Energy Reviews 76, 865-871, 2017 | 563 | 2017 |
| Multimodal federated learning: A survey L Che, J Wang, Y Zhou, F Ma Sensors 23 (15), 6986, 2023 | 68 | 2023 |
| Towards personalized federated learning via heterogeneous model reassembly J Wang, X Yang, S Cui, L Che, L Lyu, D Xu, F Ma Conference on Neural Information Processing Systems (NeurIPS 23), 2023 | 47 | 2023 |
| Fedcon: A contrastive framework for federated semi-supervised learning Z Long, J Wang, Y Wang, H Xiao, F Ma arXiv preprint arXiv:2109.04533, 2021 | 27 | 2021 |
| Fedtrinet: A pseudo labeling method with three players for federated semi-supervised learning L Che, Z Long, J Wang, Y Wang, H Xiao, F Ma 2021 IEEE International Conference on Big Data (Big Data), 715-724, 2021 | 26 | 2021 |
| Towards Federated COVID-19 Vaccine Side Effect Prediction J Wang, C Qian, S Cui, L Glass, F Ma European Conference on Machine Learning and Principles and Practice of …, 2022 | 16 | 2022 |
| Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT J Wang, S Zeng, Z Long, Y Wang, H Xiao, F Ma Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 14 | 2023 |
| Backdoor Threats from Compromised Foundation Models to Federated Learning X Li, S Wang, C Wu, H Zhou, J Wang* FL@FM-NeurIPS’23, 2023 | 12 | 2023 |
| Hierarchical Pretraining on Multimodal Electronic Health Records X Wang, J Luo, J Wang, Z Yin, S Cui, Y Zhong, Y Wang, F Ma The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 | 11 | 2023 |
| Medskim: Denoised health risk prediction via skimming medical claims data S Cui, J Luo, M Ye, J Wang, T Wang, F Ma 2022 IEEE International Conference on Data Mining (ICDM), 81-90, 2022 | 11 | 2022 |
| Federated learning for rare disease detection: a survey J Wang, F Ma Rare Disease and Orphan Drugs Journal, 2023 | 10 | 2023 |
| Unveiling backdoor risks brought by foundation models in heterogeneous federated learning X Li, C Wu, J Wang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 168-181, 2024 | 9 | 2024 |
| Chain-of-scrutiny: Detecting backdoor attacks for large language models X Li, Y Zhang, R Lou, C Wu, J Wang arXiv preprint arXiv:2406.05948, 2024 | 8 | 2024 |
| CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning J Luo, X Wang, J Wang, A Chang, Y Wang, F Ma LREC-COLING 2024, 2024 | 7 | 2024 |
| Automed: Automated medical risk predictive modeling on electronic health records S Cui, J Wang, X Gui, T Wang, F Ma 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 7 | 2022 |
| Position paper: Assessing robustness, privacy, and fairness in federated learning integrated with foundation models X Li*, J Wang* arXiv preprint arXiv:2402.01857, 2024 | 6 | 2024 |
| MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation Y Zhong, S Cui, J Wang, X Wang, Z Yin, Y Wang, H Xiao, M Huai, T Wang, ... Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 2023 | 6 | 2023 |
| Rethinking personalized federated learning with clustering-based dynamic graph propagation J Wang, Y Chen, Y Wu, M Das, H Yang, F Ma Pacific-Asia Conference on Knowledge Discovery and Data Mining, 155-167, 2024 | 5 | 2024 |
| Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions S Cui, J Wang, Y Zhong, H Liu, T Wang, F Ma Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 2024 | 5 | 2024 |
| Vulnerabilities of Foundation Model Integrated Federated Learning Under Adversarial Threats C Wu, X Li, J Wang* arXiv preprint arXiv:2401.10375, 2024 | 5 | 2024 |
Fenglong MaPennsylvania State UniversityVerificeret mail på psu.edu