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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
4242019
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
1162018
Towards discovering what patterns trigger what labels
YF Li, JH Hu, Y Jiang, ZH Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1012-1018, 2012
622012
Subspace multi-clustering: a review
J Hu, J Pei
Knowledge and information systems 56, 257-284, 2018
442018
Finding multiple stable clusterings
J Hu, Q Qian, J Pei, R Jin, S Zhu
Knowledge and Information Systems 51, 991-1021, 2017
402017
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
352014
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
242022
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
122015
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
112021
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
9*2022
Hierarchically robust representation learning
Q Qian, J Hu, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
72020
Augdmc: Data augmentation guided deep multiple clustering
J Yao, E Liu, M Rashid, J Hu
Procedia Computer Science 222, 571-580, 2023
62023
Intra-modal proxy learning for zero-shot visual categorization with clip
Q Qian, Y Xu, J Hu
Advances in Neural Information Processing Systems 36, 2024
52024
Improved visual fine-tuning with natural language supervision
J Wang, Y Xu, J Hu, M Yan, J Sang, Q Qian
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
52023
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
42021
How can I index my thousands of photos effectively and automatically? An unsupervised feature selection approach
J Hu, J Pei, J Tang
Proceedings of the 2014 SIAM International Conference on Data Mining, 136-144, 2014
42014
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
32021
Multi-modal proxy learning towards personalized visual multiple clustering
J Yao, Q Qian, J Hu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
22024
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
22019
Dual-disentangled Deep Multiple Clustering
J Yao, J Hu
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024
12024
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