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Juhua Hu (Ju-Hua Hu,  胡菊花)
Juhua Hu (Ju-Hua Hu, 胡菊花)
Assistant Professor, University of Washington | Tacoma
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
Softtriple loss: Deep metric learning without triplet sampling
Q Qian, L Shang, B Sun, J Hu, H Li, R Jin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2142019
Exact and consistent interpretation for piecewise linear neural networks: A closed form solution
L Chu, X Hu, J Hu, L Wang, J Pei
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
802018
Towards discovering what patterns trigger what labels
YF Li, JH Hu, Y Jiang, ZH Zhou
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
512012
Distance metric learning using dropout: a structured regularization approach
Q Qian, J Hu, R Jin, J Pei, S Zhu
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
322014
Finding multiple stable clusterings
J Hu, Q Qian, J Pei, R Jin, S Zhu
Knowledge and Information Systems 51 (3), 991-1021, 2017
302017
Subspace multi-clustering: a review
J Hu, J Pei
Knowledge and information systems 56 (2), 257-284, 2018
222018
Pairwised specific distance learning from physical linkages
J Hu, DC Zhan, X Wu, Y Jiang, ZH Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (3), 1-27, 2015
132015
Unsupervised visual representation learning by online constrained k-means
Q Qian, Y Xu, J Hu, H Li, R Jin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
42022
How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach
J Hu, J Pei, J Tang
42014
Improved Knowledge Distillation via Full Kernel Matrix Transfer
Q Qian, H Li, J Hu
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
22022
Weakly Supervised Representation Learning with Coarse Labels
Y Xu, Q Qian, H Li, R Jin, J Hu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
22021
Hierarchically robust representation learning
Q Qian, J Hu, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
22020
Representation Learning with Fine-grained Patterns
Y Xu, Q Qian, H Li, R Jin, J Hu
arXiv preprint ArXiv:2005.09681, 2020
12020
Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering
B Yu, G Graciani, A Nascimento, J Hu
2019 IEEE International Conference on Big Data (Big Data), 4208-4213, 2019
12019
一种基于教学模型的协同训练方法
胡菊花, 姜远, 周志华
计算机研究与发展 50 (11), 2262-2268, 2013
12013
Interpretable Phenotyping for Electronic Health Records
C Allen, J Hu, V Kumar, MA Ahmad, A Teredesai
2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 161-170, 2021
2021
Fairness in Healthcare AI
MA Ahmad, C Eckert, C Allen, V Kumar, J Hu, A Teredesai
2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 554-555, 2021
2021
Clustering Analysis of Email Malware Campaigns
R Zhang, S Wang, R Burton, M Hoang, J Hu, ACA Nascimento
2021 IEEE International Conference on Cyber Security and Resilience (CSR …, 2021
2021
Efficient Kernel Transfer in Knowledge Distillation
Q Qian, H Li, J Hu
arXiv preprint arXiv:2009.14416, 2020
2020
Hierarchically Robust Representation Learning
J Hu, Q Qian, H Li
arXiv: 1911.04047 [cs], 2019
2019
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