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 | 47 | 2018 |
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 | 46 | 2022 |
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 | 43 | 2022 |
Federated deep learning with Bayesian privacy H Gu, L Fan, B Li, Y Kang, Y Yao, Q Yang arXiv preprint arXiv:2109.13012, 2021 | 15 | 2021 |
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 | 14 | 2024 |
Optimizing privacy, utility and efficiency in constrained multi-objective federated learning Y Kang, H Gu, X Tang, Y He, Y Zhang, J He, Y Han, L Fan, K Chen, ... arXiv preprint arXiv:2305.00312, 2023 | 12 | 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 | 12* | 2023 |
FedPass: privacy-preserving vertical federated deep learning with adaptive obfuscation H Gu, J Luo, Y Kang, L Fan, Q Yang IJCAI 2023, 2023 | 7 | 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 | 7 | 2022 |
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 |
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 | 5 | 2023 |
Grounding foundation models through federated transfer learning: A general framework Y Kang, T Fan, H Gu, L Fan, Q Yang arXiv preprint arXiv:2311.17431, 2023 | 3 | 2023 |
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 | 3 | 2023 |
FedSOV: federated model secure ownership verification with unforgeable signature W Yang, G Zhu, Y Yin, H Gu, L Fan, Q Yang, X Cao arXiv preprint arXiv:2305.06085, 2023 | 2 | 2023 |
A novel approach to simultaneously improve privacy, efficiency and reliability of federated DNN learning H Gu, L Fan, B Li, Y Kang, Y Yao, Q Yang International Workshop on Federated and Transfer Learning for Data Sparsity …, 2021 | 2 | 2021 |
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 | 1 | 2024 |
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning H Gu, X Zhao, Y Han, Y Kang, L Fan, Q Yang arXiv preprint arXiv:2312.16554, 2023 | 1 | 2023 |
Temporal Gradient Inversion Attacks with Robust Optimization B Li, H Gu, R Chen, J Li, C Wu, N Ruan, X Si, L Fan arXiv preprint arXiv:2306.07883, 2023 | 1 | 2023 |
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 | | 2024 |
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models Y Song, Y He, X Zhao, H Gu, D Jiang, H Yang, L Fan, Q Yang arXiv preprint arXiv:2310.18358, 2023 | | 2023 |