Hongjing Zhang

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 16

Top Topics

Anomaly Detection

Chest Radiographs

Top Venues

Publications

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 (2023)
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) (2022)
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)
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 (2022)
Hongjing Zhang, Ian Davidson
Towards Fair Deep Anomaly Detection. FAccT (2021)
Hongjing Zhang, Ian Davidson
Deep Descriptive Clustering. IJCAI (2021)
Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson
A framework for deep constrained clustering. Data Min. Knowl. Discov. 35 (2) (2021)
Hongjing Zhang, Ian Davidson
Deep Fair Discriminative Clustering. CoRR (2021)
Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson
A Framework for Deep Constrained Clustering. CoRR (2021)
Hongjing Zhang, Ian Davidson
Deep Descriptive Clustering. CoRR (2021)
Hongjing Zhang, Tianyang Zhan, Ian Davidson
A Self-Supervised Deep Learning Framework for Unsupervised Few-Shot Learning and Clustering. Pattern Recognit. Lett. 148 (2021)
Hongjing Zhang, Ian Davidson
Towards Fair Deep Anomaly Detection. CoRR (2020)
Hongjing Zhang, S. S. Ravi, Ian Davidson
A Graph-Based Approach for Active Learning in Regression. CoRR (2020)
Hongjing Zhang, S. S. Ravi, Ian Davidson
A Graph-Based Approach for Active Learning in Regression. SDM (2020)
Hongjing Zhang, Sugato Basu, Ian Davidson
A Framework for Deep Constrained Clustering - Algorithms and Advances. ECML/PKDD (1) (2019)
Hongjing Zhang, Sugato Basu, Ian Davidson
Deep Constrained Clustering - Algorithms and Advances. CoRR (2019)
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)
Hongjing Zhang, Ying Wang, Xuesong Qiu, Wenjing Li, Qinghong Zhong
Network operation simulation platform for network virtualization environment. APNOMS (2015)
Hongjing Zhang, Lanhai Liu
Empirical Research on Housing Price Ripple Effect between China's Cities. SSME (2009)