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Han Zhao
Han Zhao
Assistant Professor of Computer Science, University of Illinois at Urbana-Champaign
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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
708*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
6612019
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
2762020
Self-Adaptive Hierarchical Sentence Model
H Zhao, Z Lu, P Poupart
In Proceedings of the Twenty-Fourth International Joint Conference on ¡¦, 2015
2572015
Inherent Tradeoffs in Learning Fair Representations
H Zhao, GJ Gordon
Journal of Machine Learning Research 23 (57), 1-26, 2022
2392022
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
2022018
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
1832020
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
1332021
Conditional Learning of Fair Representations
H Zhao, A Coston, T Adel, GJ Gordon
International Conference on Learning Representations, 2020
1202020
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
1102015
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
972020
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
952021
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
942022
Continual Learning with Adaptive Weights (CLAW)
T Adel, H Zhao, RE Turner
International Conference on Learning Representations, 2020
822020
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
A Unified Approach for Learning the Parameters of Sum-Product Networks
H Zhao, P Poupart, G Gordon
Advances in Neural Information Processing Systems, 2016
782016
Deep Fair Clustering for Visual Learning
P Li, H Zhao, H Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡¦, 2020
762020
Corneal alteration and pathogenesis in diabetes mellitus
H Zhao, Y He, YR Ren, BH Chen
International Journal of Ophthalmology 12 (12), 1939, 2019
762019
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
722014
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
612016
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