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Books and Theses
- 2022
[b1]Hongjing Zhang:
Modernizing Deep Unsupervised Learning with Human Experience. University of California, Davis, USA, 2022
Journal Articles
- 2023
- [j5]Wenjian Sun
, Dongsheng Wu, Yang Luo, Lu Liu, Hongjing Zhang, Shuang Wu, Yan Zhang, Chenglong Wang, Houjun Zheng, Jiang Shen, Chunbo Luo:
ExpertNet: Defeat noisy labels by deep expert consultation paradigm for pneumoconiosis staging on chest radiographs. Expert Syst. Appl. 232: 120710 (2023) - 2022
- [j4]Shaohuan Zu, Chaofan Ke, Chengzhi Hou, Junxing Cao, Hongjing Zhang:
End-to-End Deblending of Simultaneous Source Data Using Transformer. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j3]Wenjian Sun, Dongsheng Wu, Yang Luo, Lu Liu, Hongjing Zhang, Shuang Wu, Yan Zhang, Chenglong Wang, Houjun Zheng, Jiang Shen, Chunbo Luo:
A Fully Deep Learning Paradigm for Pneumoconiosis Staging on Chest Radiographs. IEEE J. Biomed. Health Informatics 26(10): 5154-5164 (2022) - 2021
- [j2]Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson:
A framework for deep constrained clustering. Data Min. Knowl. Discov. 35(2): 593-620 (2021) - [j1]Hongjing Zhang, Tianyang Zhan, Ian Davidson:
A Self-Supervised Deep Learning Framework for Unsupervised Few-Shot Learning and Clustering. Pattern Recognit. Lett. 148: 75-81 (2021)
Conference and Workshop Papers
- 2022
- [c8]Wenjian Sun, Dongsheng Wu, Yang Luo, Lu Liu, Hongjing Zhang, Shuang Wu, Yan Zhang, Chenglong Wang, Houjun Zheng, Jiang Shen, Chunbo Luo:
Deep Log-Normal Label Distribution Learning for Pneumoconiosis Staging on Chest Radiographs. CBMS 2022: 372-376 - 2021
- [c7]Hongjing Zhang, Ian Davidson:
Towards Fair Deep Anomaly Detection. FAccT 2021: 138-148 - [c6]Hongjing Zhang, Ian Davidson:
Deep Descriptive Clustering. IJCAI 2021: 3342-3348 - 2020
- [c5]Hongjing Zhang, S. S. Ravi, Ian Davidson:
A Graph-Based Approach for Active Learning in Regression. SDM 2020: 280-288 - 2019
- [c4]Hongjing Zhang, Sugato Basu, Ian Davidson:
A Framework for Deep Constrained Clustering - Algorithms and Advances. ECML/PKDD (1) 2019: 57-72 - 2015
- [c3]Qinghong Zhong, Ying Wang, Luoming Meng, Ailing Xiao, Hongjing Zhang:
A max-flow/min-cut theory based multi-domain virtual network splitting mechanism. APNOMS 2015: 392-395 - [c2]Hongjing Zhang, Ying Wang, Xuesong Qiu, Wenjing Li, Qinghong Zhong:
Network operation simulation platform for network virtualization environment. APNOMS 2015: 400-403 - 2009
- [c1]Hongjing Zhang, Lanhai Liu:
Empirical Research on Housing Price Ripple Effect between China's Cities. SSME 2009: 43-46
Informal and Other Publications
- 2021
- [i6]Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson:
A Framework for Deep Constrained Clustering. CoRR abs/2101.02792 (2021) - [i5]Hongjing Zhang, Ian Davidson:
Deep Descriptive Clustering. CoRR abs/2105.11549 (2021) - [i4]Hongjing Zhang, Ian Davidson:
Deep Fair Discriminative Clustering. CoRR abs/2105.14146 (2021) - 2020
- [i3]Hongjing Zhang, S. S. Ravi, Ian Davidson:
A Graph-Based Approach for Active Learning in Regression. CoRR abs/2001.11143 (2020) - [i2]Hongjing Zhang, Ian Davidson:
Towards Fair Deep Anomaly Detection. CoRR abs/2012.14961 (2020) - 2019
- [i1]Hongjing Zhang, Sugato Basu, Ian Davidson:
Deep Constrained Clustering - Algorithms and Advances. CoRR abs/1901.10061 (2019)
Coauthor Index
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