Obserwuj
Guojun Zhang
Guojun Zhang
MiniMax
Zweryfikowany adres z uwaterloo.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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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
173*2022
New exact quantization condition for toric Calabi-Yau geometries
X Wang, G Zhang, M Huang
Physical Review Letters 115 (12), 121601, 2015
912015
f-Domain Adversarial Learning: Theory and Algorithms
D Acuna, G Zhang, M Law, S Fidler
International Conference on Machine Learning, 2021
812021
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
592021
Convergence of gradient-based methods on bilinear games
G Zhang, Y Yu
International Conference On Learning Representations, 2020, 2020
55*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
542015
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
502017
CHY loop integrands from holomorphic forms
H Gomez, S Mizera, G Zhang
Journal of High Energy Physics 2017 (3), 1-43, 2017
382017
Mitigating data heterogeneity in federated learning with data augmentation
AB de Luca, G Zhang, X Chen, Y Yu
arXiv preprint arXiv:2206.09979, 2022
362022
Newton-type methods for minimax optimization
G Zhang, K Wu, P Poupart, Y Yu
arXiv preprint arXiv:2006.14592, 2020
302020
Minimal basis in four dimensions and scalar blocks
F Cachazo, G Zhang
arXiv preprint arXiv:1601.06305, 2016
242016
Proportional Fairness in Federated Learning
G Zhang, S Malekmohammadi, X Chen, Y Yu
Transactions on Machine Learning Research, 2023
222023
Private GANs, Revisited
A Bie, G Kamath, G Zhang
Transactions on Machine Learning Research, 2023
172023
String-theoretic deformation of the Parke-Taylor factor
S Mizera, G Zhang
Physical Review D 96 (6), 066016, 2017
162017
Domain Adversarial Training: A Game Perspective
D Acuna, MT Law, G Zhang, S Fidler
International Conference on Learning Representations, 2022
152022
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
142022
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
112023
Does combining parameter-efficient modules improve few-shot transfer accuracy?
N Asadi, M Beitollahi, Y Khalil, Y Li, G Zhang, X Chen
arXiv preprint arXiv:2402.15414, 2024
92024
Cross domain generative augmentation: domain generalization with latent diffusion models
S Hemati, M Beitollahi, AH Estiri, BA Omari, X Chen, G Zhang
arXiv preprint arXiv:2312.05387, 2023
92023
Optimality and Stability in Non-Convex Smooth Games
G Zhang, P Poupart, Y Yu
JMLR 23, 35:1-35:71, 2022
9*2022
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