Guojun Zhang

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Yaoliang YuUniversity of WaterlooVerified email at uwaterloo.ca
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Marc T. LawResearch Scientist at NVIDIAVerified email at nvidia.com
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Kiarash ShaloudegiSenior Applied ScientistVerified email at amazon.com
Sebastian MizeraInstitute for Advanced StudyVerified email at ias.edu
David AcunaUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Freddy CachazoFaculty, Perimeter InstituteVerified email at perimeterinstitute.ca
Xi (Alex) ChenSenior Principal Scientist @ Huawei Noah's Ark Lab; Adjunct Professor @ McGill Univ.Verified email at mcgill.ca
Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Xin WangVerified email at mpim-bonn.mpg.de
Zeou HuPhd student, University of WaterlooVerified email at uwaterloo.ca
Sobhan HematiPhD Student at University of WaterlooVerified email at uwaterloo.ca
James T. LiuProfessor of Physics, University of MichiganVerified email at umich.edu
Leopoldo A. Pando ZayasProfessor of Physics, University of MichiganVerified email at umich.edu
Mahdi BeitollahiNoah's Ark Lab MontrealVerified email at queensu.ca
Mahdi KaramiMachine Learning ScientistVerified email at ualberta.ca
Humberto Gomez ZunigaDurham UniversityVerified email at durham.ac.uk
Kaiwen WuUniversity of PennsylvaniaVerified email at seas.upenn.edu
Alex BieUniversity of WaterlooVerified email at uwaterloo.ca

Guojun Zhang

Noah's Ark Lab Montreal

Verified email at uwaterloo.ca - Homepage

Transfer Learning Federated Learning Adversarial Training


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
New exact quantization condition for toric Calabi-Yau geometries X Wang, G Zhang, M Huang Physical Review Letters 115 (12), 121601, 2015	88	2015
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	85	2022
f-Domain Adversarial Learning: Theory and Algorithms D Acuna, G Zhang, M Law, S Fidler International Conference on Machine Learning, 2021	63	2021
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	52	2015
Convergence of gradient-based methods on bilinear games G Zhang, Y Yu International Conference On Learning Representations, 2020, 2020	49*	2020
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	40	2021
CHY loop integrands from holomorphic forms H Gomez, S Mizera, G Zhang Journal of High Energy Physics 2017 (3), 1-43, 2017	36	2017
Newton-type methods for minimax optimization G Zhang, K Wu, P Poupart, Y Yu arXiv preprint arXiv:2006.14592, 2020	27	2020
Fedmgda+: Federated learning meets multi-objective optimization Z Hu, K Shaloudegi, G Zhang, Y Yu arXiv preprint arXiv:2006.11489, 2020	27	2020
Minimal basis in four dimensions and scalar blocks F Cachazo, G Zhang arXiv preprint arXiv:1601.06305, 2016	21	2016
Mitigating data heterogeneity in federated learning with data augmentation AB de Luca, G Zhang, X Chen, Y Yu arXiv preprint arXiv:2206.09979, 2022	19	2022
Proportional Fairness in Federated Learning G Zhang, S Malekmohammadi, X Chen, Y Yu Transactions on Machine Learning Research, 2023	17*	2023
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	12	2022
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	8	2022
Optimality and Stability in Non-Convex Smooth Games G Zhang, P Poupart, Y Yu JMLR 23, 35:1-35:71, 2022	7*	2022
Private GANs, Revisited A Bie, G Kamath, G Zhang Transactions on Machine Learning Research, 2023	5	2023
Fedmgda+: federated learning meets multi-objective optimization. CoRR abs/2006.11489 (2020) Z Hu, K Shaloudegi, G Zhang, Y Yu arXiv preprint arXiv:2006.11489, 2020	5	2020
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	4	2023

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