Federated learning meets multi-objective optimization Z Hu, K Shaloudegi, G Zhang, Y Yu IEEE Transactions on Network Science and Engineering 9 (4), 2039-2051, 2022 | 125* | 2022 |
New exact quantization condition for toric Calabi-Yau geometries X Wang, G Zhang, M Huang Physical Review Letters 115 (12), 121601, 2015 | 89 | 2015 |
f-Domain Adversarial Learning: Theory and Algorithms D Acuna, G Zhang, M Law, S Fidler International Conference on Machine Learning, 2021 | 70 | 2021 |
Convergence of gradient-based methods on bilinear games G Zhang, Y Yu International Conference On Learning Representations, 2020, 2020 | 56* | 2020 |
One-loop structure of higher rank Wilson loops in AdS/CFT A Faraggi, JT Liu, LAP Zayas, G Zhang Physics Letters B 740, 218-221, 2015 | 53 | 2015 |
Scattering equations: real solutions and particles on a line F Cachazo, S Mizera, G Zhang Journal of High Energy Physics 2017 (3), 1-22, 2017 | 49 | 2017 |
Quantifying and Improving Transferability in Domain Generalization G Zhang, H Zhao, Y Yu, P Poupart Advances in Neural Information Processing Systems 34 pre-proceedings …, 2021 | 44 | 2021 |
CHY loop integrands from holomorphic forms H Gomez, S Mizera, G Zhang Journal of High Energy Physics 2017 (3), 1-43, 2017 | 37 | 2017 |
Newton-type methods for minimax optimization G Zhang, K Wu, P Poupart, Y Yu arXiv preprint arXiv:2006.14592, 2020 | 29 | 2020 |
Minimal basis in four dimensions and scalar blocks F Cachazo, G Zhang arXiv preprint arXiv:1601.06305, 2016 | 23 | 2016 |
Proportional Fairness in Federated Learning G Zhang, S Malekmohammadi, X Chen, Y Yu Transactions on Machine Learning Research, 2023 | 21 | 2023 |
Mitigating data heterogeneity in federated learning with data augmentation AB de Luca, G Zhang, X Chen, Y Yu arXiv preprint arXiv:2206.09979, 2022 | 20 | 2022 |
String-theoretic deformation of the Parke-Taylor factor S Mizera, G Zhang Physical Review D 96 (6), 066016, 2017 | 16 | 2017 |
Domain Adversarial Training: A Game Perspective D Acuna, MT Law, G Zhang, S Fidler International Conference on Learning Representations, 2022 | 14 | 2022 |
Private GANs, Revisited A Bie, G Kamath, G Zhang Transactions on Machine Learning Research, 2023 | 10 | 2023 |
DP-VAE: Differentially Private Pre-trained Variational Autoencoders D Jiang, G Zhang, M Karami, X Chen, Y Shao, Y Yu arXiv preprint arXiv:2208.03409, 2022 | 10 | 2022 |
Optimality and Stability in Non-Convex Smooth Games G Zhang, P Poupart, Y Yu JMLR 23, 35:1-35:71, 2022 | 7* | 2022 |
Understanding Hessian Alignment for Domain Generalization S Hemati, G Zhang, A Estiri, X Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
Law, and Sanja Fidler. f-domain-adversarial learning: Theory and algorithms for unsupervised domain adaptation with neural networks, 2021 D Acuna, G Zhang, T Marc URL https://openreview. net/forum, 1, 2016 | 5 | 2016 |
-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning Y Lu, G Zhang, S Sun, H Guo, Y Yu arXiv preprint arXiv:2402.10150, 2024 | 4 | 2024 |