Disentangling hate in online memes R Cao*, Z Fan*, RKW Lee, J Jiang, WH Chong Proceedings of the 29th ACM International Conference on Multimedia, 5138-5147, 2021 | 83 | 2021 |
Fourier-based augmentation with applications to domain generalization Q Xu, R Zhang, Z Fan, Y Wang, YY Wu, Y Zhang Pattern Recognition 139, 109474, 2023 | 46 | 2023 |
Grace: A generalized and personalized federated learning method for medical imaging R Zhang, Z Fan, Q Xu, J Yao, Y Zhang, Y Wang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 20 | 2023 |
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation Z Fan, Y Wang, J Yao, L Lyu, Y Zhang, Q Tian ICDM2022, 2022 | 19 | 2022 |
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data Z Fan, R Zhang, J Yao, B Han, Y Zhang, Y Wang Advances in Neural Information Processing Systems 36, 2023 | 12 | 2023 |
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning S Hu*, Z Fan*, L Shen, Y Zhang, Y Wang, D Tao ICML‘24, 2024 | 9 | 2024 |
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization Z Fan, S Hu, J Yao, G Niu, Y Zhang, M Sugiyama, Y Wang ICML‘24 spotlight, 2024 | 7 | 2024 |
Q-value Regularized Transformer for Offline Reinforcement Learning S Hu, Z Fan, C Huang, L Shen, Y Zhang, Y Wang, D Tao ICML‘24, 2024 | 7 | 2024 |
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts R Zhang, Z Fan, J Yao, Y Zhang, Y Wang ICLR'24, 2024 | 3 | 2024 |
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping Z Fan, J Yao, R Zhang, L Lyu, Y Wang, Y Zhang TMLR, 2023 | 3* | 2023 |
Reconstruct the Pruned Model without Any Retraining P Wang, Z Fan, S Hu, Z Chen, Y Wang, Y Wang arXiv preprint arXiv:2407.13331, 2024 | 1 | 2024 |
Federated Learning with Partially Class-Disjoint Data Z Fan, J Yao IntechOpen, 2024 | | 2024 |
Fairness-guided federated training for generalization and personalization in cross-silo federated learning R Zhang, Z Fan, J Yao, Y Zhang, Y Wang Frontiers of Information Technology & Electronic Engineering, 1-20, 2024 | | 2024 |
Continual Task Learning through Adaptive Policy Self-Composition S Hu, Y Zhou, Z Fan, J Hu, L Shen, Y Zhang, D Tao arXiv preprint arXiv:2411.11364, 2024 | | 2024 |
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning Z Fan, S Hu, Y Zhou, L Shen, Y Zhang, Y Wang, D Tao arXiv preprint arXiv:2411.01146, 2024 | | 2024 |