| A comprehensive survey of ai-generated content (aigc): A history of generative ai from gan to chatgpt Y Cao, S Li, Y Liu, Z Yan, Y Dai, PS Yu, L Sun arXiv preprint arXiv:2303.04226, 2023 | 834 | 2023 |
| Tackling data heterogeneity in federated learning with class prototypes Y Dai, Z Chen, J Li, S Heinecke, L Sun, R Xu Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7314-7322, 2023 | 75 | 2023 |
| Personalized edge intelligence via federated self-knowledge distillation H Jin, D Bai, D Yao, Y Dai, L Gu, C Yu, L Sun IEEE Transactions on Parallel and Distributed Systems 34 (2), 567-580, 2022 | 61 | 2022 |
| Local-global knowledge distillation in heterogeneous federated learning with non-iid data D Yao, W Pan, Y Dai, Y Wan, X Ding, H Jin, Z Xu, L Sun arXiv preprint arXiv:2107.00051, 2021 | 53 | 2021 |
| xgen-mm (blip-3): A family of open large multimodal models L Xue, M Shu, A Awadalla, J Wang, A Yan, S Purushwalkam, H Zhou, ... arXiv preprint arXiv:2408.08872, 2024 | 48 | 2024 |
| FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization D Yao, W Pan, MJ O'Neill, Y Dai, Y Wan, H Jin, L Sun arXiv preprint arXiv:2111.14655v2, 2022 | 42 | 2022 |
| FedGKD: Towards Heterogeneous Federated Learning via Global Knowledge Distillation D Yao, W Pan, Y Dai, Y Wan, X Ding, C Yu, H Jin, Z Xu, L Sun IEEE Transactions on Computers, 2023 | 31 | 2023 |
| MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning Y Liu, C Fan, Y Dai, X Chen, P Zhou, L Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 21* | 2024 |
| A subspace acceleration method for minimization involving a group sparsity-inducing regularizer FE Curtis, Y Dai, DP Robinson SIAM Journal on Optimization 32 (2), 545-572, 2022 | 12 | 2022 |
| Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras J Yu, Y Dai, X Liu, J Huang, Y Shen, K Zhang, R Zhou, E Adhikarla, W Ye, ... arXiv preprint arXiv:2404.18961, 2024 | 10 | 2024 |
| An adaptive half-space projection method for stochastic optimization problems with group sparse regularization Y Dai, T Chen, G Wang, DP Robinson Transactions on machine learning research, 2023 | 8 | 2023 |
| Memory-adaptive depth-wise heterogenous federated learning K Zhang, Y Dai, H Wang, E Xing, X Chen, L Sun arXiv preprint arXiv:2303.04887, 2023 | 6 | 2023 |
| Synchronous parallel block coordinate descent method for nonsmooth convex function minimization Y Dai, Y Weng Journal of Systems Science and Complexity 33 (2), 345-365, 2020 | 4 | 2020 |
| A proximal-gradient method for problems with overlapping group-sparse regularization: support identification complexity Y Dai, DP Robinson Optimization Methods and Software, 1-35, 2024 | 1* | 2024 |
| A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization Y Dai, G Wang, FE Curtis, DP Robinson International Conference on Artificial Intelligence and Statistics, 5107-5133, 2023 | 1 | 2023 |
| A Proximal-Gradient Method for Constrained Optimization Y Dai, X Qu, DP Robinson arXiv preprint arXiv:2404.07460, 2024 | | 2024 |
| Structured Sparse Optimization Y Dai Lehigh University, 2024 | | 2024 |
Lichao "James" SunAssistant Professor of Computer Science, Lehigh UniversityZweryfikowany adres z lehigh.edu
