Han Zhao

Cited by

	All	Since 2019
Citations	4990	4659
h-index	32	31
i10-index	61	59

1200

600

300

900

201520162017201820192020202120222023202435 61 84 129 195 432 742 945 1160 1160

Public access

View all

35 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Shanghang ZhangEECS, UC BerkeleyVerified email at eecs.berkeley.edu
Haoxiang WangResearch Scientist, NVIDIAVerified email at illinois.edu
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentVerified email at andrew.cmu.edu
Remi Tachet des CombesVerified email at alpacaml.com
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyVerified email at berkeley.edu
Jianfeng ChiResearch Scientist, GenAI@MetaVerified email at meta.com
Louis-Philippe MorencyAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Joao Paulo CosteiraInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaVerified email at isr.ist.utl.pt
Guanhang WuGoogle Inc / CMU RoboticsVerified email at google.com
Jose M. F. MouraPhilip L. and Marsha Dowd University Professor, Carnegie Mellon UniversityVerified email at ece.cmu.edu
Yuan TianAssociate Professor, University of California, Los AngelesVerified email at ucla.edu
Li BoPhD Student, NTU, SingaporeVerified email at e.ntu.edu.sg
Ruicheng XianUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Tong ZhangUIUCVerified email at tongzhang-ml.org
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarVerified email at illinois.edu

Han Zhao

Other names赵晗

Assistant Professor of Computer Science, University of Illinois at Urbana-Champaign

Verified email at illinois.edu - Homepage

Machine Learning Algorithmic Fairness Domain Adaptation Probabilistic Circuits


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Adversarial multiple source domain adaptation H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, GJ Gordon Advances in neural information processing systems, 8559-8570, 2018	709*	2018
On Learning Invariant Representations for Domain Adaptation H Zhao, R Tachet des Combes, K Zhang, GJ Gordon In Proceedings of the 36th International Conference on Machine Learning, 2019	664	2019
A review of single-source deep unsupervised visual domain adaptation S Zhao, X Yue, S Zhang, B Li, H Zhao, B Wu, R Krishna, JE Gonzalez, ... IEEE Transactions on Neural Networks and Learning Systems 33 (2), 473-493, 2020	280	2020
Self-Adaptive Hierarchical Sentence Model H Zhao, Z Lu, P Poupart In Proceedings of the Twenty-Fourth International Joint Conference on …, 2015	258	2015
Inherent Tradeoffs in Learning Fair Representations H Zhao, GJ Gordon Journal of Machine Learning Research 23 (57), 1-26, 2022	242	2022
Convolutional-Recurrent Neural Networks for Speech Enhancement H Zhao, S Zarar, I Tashev, CH Lee IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018	204	2018
Domain adaptation with conditional distribution matching and generalized label shift R Tachet des Combes, H Zhao, YX Wang, GJ Gordon Advances in Neural Information Processing Systems 33, 19276-19289, 2020	184	2020
On dyadic fairness: Exploring and mitigating bias in graph connections P Li, Y Wang, H Zhao, P Hong, H Liu International Conference on Learning Representations, 2021	134	2021
Conditional Learning of Fair Representations H Zhao, A Coston, T Adel, GJ Gordon International Conference on Learning Representations, 2020	121	2020
On the Relationship between Sum-Product Networks and Bayesian Networks H Zhao, M Melibari, P Poupart In Proceedings of the 32nd International Conference on Machine Learning, 116 …, 2015	110	2015
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation B Li, Y Wang, S Zhang, D Li, T Darrell, K Keutzer, H Zhao arXiv preprint arXiv:2010.04647, 2020	98	2020
Bridging multi-task learning and meta-learning: Towards efficient training and effective adaptation H Wang, H Zhao, B Li International conference on machine learning, 10991-11002, 2021	96	2021
Invariant information bottleneck for domain generalization B Li, Y Shen, Y Wang, W Zhu, D Li, K Keutzer, H Zhao Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7399-7407, 2022	94	2022
Continual Learning with Adaptive Weights (CLAW) T Adel, H Zhao, RE Turner International Conference on Learning Representations, 2020	84	2020
A Unified Approach for Learning the Parameters of Sum-Product Networks H Zhao, P Poupart, G Gordon Advances in Neural Information Processing Systems, 2016	79	2016
On Strategyproof Conference Peer Review Y Xu, H Zhao, X Shi, NB Shah In Proceedings of the 28th International Joint Conference on Artificial …, 2019	78*	2019
Deep Fair Clustering for Visual Learning P Li, H Zhao, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	76	2020
Corneal alteration and pathogenesis in diabetes mellitus H Zhao, Y He, YR Ren, BH Chen International Journal of Ophthalmology 12 (12), 1939, 2019	75	2019
Global Network Alignment in the Context Of Aging FE Faisal, H Zhao, T Milenkovic IEEE Transactions on Computational Biology and Bioinformatics 12 (1), 40--52, 2014	72	2014
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks A Rashwan, H Zhao, P Poupart In Proceedings of the 19th International Conference on Artificial …, 2016	61	2016

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors