Han Zhao

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Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Haoxiang WangResearch Scientist, NVIDIAVerified email at illinois.edu
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentVerified email at andrew.cmu.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.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
Tong ZhangUIUCVerified email at tongzhang-ml.org
Jianfeng ChiResearch Scientist, GenAI at 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
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarVerified email at illinois.edu
Ruicheng XianUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Li BoPhD Student, MM@NTU, SingaporeVerified email at e.ntu.edu.sg
Martin Q. MaCarnegie Mellon UniversityVerified email at andrew.cmu.edu

Han Zhao

Other names赵晗

Department of Computer Science, University of Illinois Urbana-Champaign

Verified email at illinois.edu - Homepage

Machine Learning Algorithmic Fairness Domain Adaptation Probabilistic Circuits


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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	744*	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	704	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	316	2020
Self-Adaptive Hierarchical Sentence Model H Zhao, Z Lu, P Poupart In Proceedings of the Twenty-Fourth International Joint Conference on …, 2015	263	2015
Inherent Tradeoffs in Learning Fair Representations H Zhao, GJ Gordon Journal of Machine Learning Research 23 (57), 1-26, 2022	260	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	218	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	199*	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	142	2021
Conditional Learning of Fair Representations H Zhao, A Coston, T Adel, GJ Gordon International Conference on Learning Representations, 2020	130	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	113	2021
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	113	2015
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	110	2022
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	103	2020
Continual Learning with Adaptive Weights (CLAW) T Adel, H Zhao, RE Turner International Conference on Learning Representations, 2020	93	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	83	2016
Deep Fair Clustering for Visual Learning P Li, H Zhao, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	80	2020
On Strategyproof Conference Peer Review Y Xu, H Zhao, X Shi, NB Shah In Proceedings of the 28th International Joint Conference on Artificial …, 2019	80*	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
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts H Wang, W Xiong, T Xie, H Zhao, T Zhang arXiv preprint arXiv:2406.12845, 2024	66	2024
Rlhf workflow: From reward modeling to online rlhf H Dong, W Xiong, B Pang, H Wang, H Zhao, Y Zhou, N Jiang, D Sahoo, ... arXiv preprint arXiv:2405.07863, 2024	66	2024

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