Han Zhao 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	4520	4190
h 指数	30	29
i10 指数	56	54

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Geoff GordonProfessor of Machine Learning, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Shanghang ZhangEECS, UC Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
Pascal PoupartUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMU在 cs.cmu.edu 的电子邮件经过验证
Yao-Hung Hubert TsaiCarnegie Mellon University PhD Student在 andrew.cmu.edu 的电子邮件经过验证
Haoxiang WangResearch Scientist, NVIDIA在 illinois.edu 的电子邮件经过验证
Remi Tachet des Combes在 alpacaml.com 的电子邮件经过验证
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)在 cmu.edu 的电子邮件经过验证
Bo LiUniversity of Illinois at Urbana–Champaign在 illinois.edu 的电子邮件经过验证
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Jianfeng ChiResearch Scientist, GenAI at Meta在 meta.com 的电子邮件经过验证
Louis-Philippe MorencyAssociate professor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Joao Paulo CosteiraInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ Lisboa在 isr.ist.utl.pt 的电子邮件经过验证
Guanhang WuGoogle Inc / CMU Robotics在 google.com 的电子邮件经过验证
Jose M. F. MouraPhilip L. and Marsha Dowd University Professor, Carnegie Mellon University在 ece.cmu.edu 的电子邮件经过验证
Yuan TianAssistant Professor, University of California, Los Angeles在 ucla.edu 的电子邮件经过验证
Li BoPhD Student, NTU, Singapore在 e.ntu.edu.sg 的电子邮件经过验证
Martin Q. MaCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Ivan TashevMicrosoft Research在 microsoft.com 的电子邮件经过验证
Shuayb ZararApple在 fb.com 的电子邮件经过验证

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Han Zhao

其他姓名赵晗

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

在 illinois.edu 的电子邮件经过验证 - 首页

Machine Learning Algorithmic Fairness Domain Adaptation Probabilistic Circuits


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	683*	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	625	2019
Self-Adaptive Hierarchical Sentence Model H Zhao, Z Lu, P Poupart In Proceedings of the Twenty-Fourth International Joint Conference on …, 2015	255	2015
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	238	2020
Inherent Tradeoffs in Learning Fair Representations H Zhao, GJ Gordon Journal of Machine Learning Research 23 (57), 1-26, 2022	226	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	193	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	167	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	120	2021
Conditional Learning of Fair Representations H Zhao, A Coston, T Adel, GJ Gordon International Conference on Learning Representations, 2020	110	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	108	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	90	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	87	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	81	2022
Continual Learning with Adaptive Weights (CLAW) T Adel, H Zhao, RE Turner International Conference on Learning Representations, 2020	77	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	77	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	75*	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	70	2020
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	70	2014
Corneal alteration and pathogenesis in diabetes mellitus H Zhao, Y He, YR Ren, BH Chen International Journal of Ophthalmology 12 (12), 1939, 2019	69	2019
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	60	2016

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