FedIPR: Ownership verification for federated deep neural network models B Li, L Fan, H Gu, J Li, Q Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4521-4536, 2022 | 77 | 2022 |
No free lunch theorem for security and utility in federated learning X Zhang, H Gu, L Fan, K Chen, Q Yang ACM Transactions on Intelligent Systems and Technology 14 (1), 1-35, 2022 | 66 | 2022 |
Clustering algorithms to analyze molecular dynamics simulation trajectories for complex chemical and biological systems J Peng, W Wang, Y Yu, H Gu, X Huang Chinese Journal of Chemical Physics 31 (4), 404-420, 2018 | 60 | 2018 |
Fedtracker: Furnishing ownership verification and traceability for federated learning model S Shao, W Yang, H Gu, Z Qin, L Fan, Q Yang IEEE Transactions on Dependable and Secure Computing, 2024 | 34 | 2024 |
Federated deep learning with bayesian privacy H Gu, L Fan, B Li, Y Kang, Y Yao, Q Yang arXiv preprint arXiv:2109.13012, 2021 | 22 | 2021 |
Optimizing privacy, utility, and efficiency in a constrained multi-objective federated learning framework Y Kang, H Gu, X Tang, Y He, Y Zhang, J He, Y Han, L Fan, K Chen, ... ACM Transactions on Intelligent Systems and Technology 15 (6), 1-33, 2024 | 21* | 2024 |
Grounding foundation models through federated transfer learning: A general framework Y Kang, T Fan, H Gu, X Zhang, L Fan, Q Yang arXiv preprint arXiv:2311.17431, 2023 | 19 | 2023 |
FedPass: privacy-preserving vertical federated deep learning with adaptive obfuscation H Gu, J Luo, Y Kang, L Fan, Q Yang IJCAI 2023, 2023 | 17 | 2023 |
Fedzkp: Federated model ownership verification with zero-knowledge proof W Yang, Y Yin, G Zhu, H Gu, L Fan, X Cao, Q Yang arXiv preprint arXiv:2305.04507, 2023 | 13 | 2023 |
Generative adversarial networks for robust cryo-EM image denoising H Gu, Y Xian, IC Unarta, Y Yao Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2023 | 13* | 2023 |
RPnet: a reverse-projection-based neural network for coarse-graining metastable conformational states for protein dynamics H Gu, W Wang, S Cao, IC Unarta, Y Yao, FK Sheong, X Huang Physical Chemistry Chemical Physics 24 (3), 1462-1474, 2022 | 9 | 2022 |
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation S Wan, D Gao, H Gu, D Hu 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 6 | 2023 |
Data-driven tight frame for cryo-em image denoising and conformational classification Y Xian, H Gu, W Wang, X Huang, Y Yao, Y Wang, JF Cai 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 6 | 2018 |
Fedmkt: Federated mutual knowledge transfer for large and small language models T Fan, G Ma, Y Kang, H Gu, Y Song, L Fan, K Chen, Q Yang arXiv preprint arXiv:2406.02224, 2024 | 5 | 2024 |
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data H Li, X Zhao, D Guo, H Gu, Z Zeng, Y Han, Y Song, L Fan, Q Yang arXiv preprint arXiv:2405.14212, 2024 | 5 | 2024 |
A communication theory perspective on prompting engineering methods for large language models YF Song, YQ He, XF Zhao, HL Gu, D Jiang, HJ Yang, LX Fan Journal of Computer Science and Technology 39 (4), 984-1004, 2024 | 4 | 2024 |
Evaluating Membership Inference Attacks and Defenses in Federated Learning G Zhu, D Li, H Gu, Y Han, Y Yao, L Fan, Q Yang arXiv preprint arXiv:2402.06289, 2024 | 4 | 2024 |
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning J Liang, J Zhong, H Gu, Z Lu, X Tang, G Dai, S Huang, L Fan, Q Yang ECCV 2024, 2024 | 3 | 2024 |
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models T Fan, Y Kang, W Chen, H Gu, Y Song, L Fan, K Chen, Q Yang arXiv preprint arXiv:2406.12403, 2024 | 3 | 2024 |
FedCut: a spectral analysis framework for reliable detection of byzantine colluders H Gu, L Fan, XX Tang, Q Yang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 3 | 2024 |