Hongjing Zhang

22 papers A* 1A 1B 1C 2Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
VisRef: Visual Refocusing while Thinking Improves Test-Time Scaling in Multi-Modal Large Reasoning Models.
CoRR
Soumya Suvra Ghosal, Youngeun Kim, Zhuowei Li, Ritwick Chaudhry, Linghan Xu, Hongjing Zhang, Jakub Zablocki, Yifan Xing, Qin Zhang
2025 J jnl
UniSearch: Rethinking Search System with a Unified Generative Architecture.
CoRR
Jiahui Chen, Xiaoze Jiang, Zhibo Wang, Quanzhi Zhu, Junyao Zhao, Feng Hu, Kang Pan, Ao Xie, Maohua Pei, Zhiheng Qin, Hongjing Zhang, Zhixin Zhai, Xiaobo Guo, Runbin Zhou, Kefeng Wang, Mingyang Geng, Cheng Chen, Jingshan Lv, Yupeng Huang, Xiao Liang, Han Li
2023 J jnl
ExpertNet: Defeat noisy labels by deep expert consultation paradigm for pneumoconiosis staging on chest radiographs.
Expert Syst. Appl.
Wenjian Sun, Dongsheng Wu, Yang Luo, Lu Liu, Hongjing Zhang, Shuang Wu, Yan Zhang, Chenglong Wang, Houjun Zheng, Jiang Shen, Chunbo Luo
2022 J jnl
A Fully Deep Learning Paradigm for Pneumoconiosis Staging on Chest Radiographs.
IEEE J. Biomed. Health Informatics
Wenjian Sun, Dongsheng Wu, Yang Luo, Lu Liu, Hongjing Zhang, Shuang Wu, Yan Zhang, Chenglong Wang, Houjun Zheng, Jiang Shen, Chunbo Luo
2022 B conf
Deep Log-Normal Label Distribution Learning for Pneumoconiosis Staging on Chest Radiographs.
CBMS
Wenjian Sun, Dongsheng Wu, Yang Luo, Lu Liu, Hongjing Zhang, Shuang Wu, Yan Zhang, Chenglong Wang, Houjun Zheng, Jiang Shen, Chunbo Luo
2022 J jnl
End-to-End Deblending of Simultaneous Source Data Using Transformer.
IEEE Geosci. Remote. Sens. Lett.
Shaohuan Zu, Chaofan Ke, Chengzhi Hou, Junxing Cao, Hongjing Zhang
2022 — —
Modernizing Deep Unsupervised Learning with Human Experience
Hongjing Zhang
2021 J jnl
A Framework for Deep Constrained Clustering.
CoRR
Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson
2021 J jnl
A Self-Supervised Deep Learning Framework for Unsupervised Few-Shot Learning and Clustering.
Pattern Recognit. Lett.
Hongjing Zhang, Tianyang Zhan, Ian Davidson
2021 J jnl
A framework for deep constrained clustering.
Data Min. Knowl. Discov.
Hongjing Zhang, Tianyang Zhan, Sugato Basu, Ian Davidson
2021 A* conf
Deep Descriptive Clustering.
IJCAI
Hongjing Zhang, Ian Davidson
2021 J jnl
Deep Descriptive Clustering.
CoRR
Hongjing Zhang, Ian Davidson
2021 J jnl
Deep Fair Discriminative Clustering.
CoRR
Hongjing Zhang, Ian Davidson
2021 — conf
Towards Fair Deep Anomaly Detection.
FAccT
Hongjing Zhang, Ian Davidson
2020 A conf
A Graph-Based Approach for Active Learning in Regression.
SDM
Hongjing Zhang, S. S. Ravi, Ian Davidson
2020 J jnl
A Graph-Based Approach for Active Learning in Regression.
CoRR
Hongjing Zhang, S. S. Ravi, Ian Davidson
2020 J jnl
Towards Fair Deep Anomaly Detection.
CoRR
Hongjing Zhang, Ian Davidson
2019 — conf
A Framework for Deep Constrained Clustering - Algorithms and Advances.
ECML/PKDD (1)
Hongjing Zhang, Sugato Basu, Ian Davidson
2019 J jnl
Deep Constrained Clustering - Algorithms and Advances.
CoRR
Hongjing Zhang, Sugato Basu, Ian Davidson
2015 C conf
A max-flow/min-cut theory based multi-domain virtual network splitting mechanism.
APNOMS
Qinghong Zhong, Ying Wang, Luoming Meng, Ailing Xiao, Hongjing Zhang
2015 C conf
Network operation simulation platform for network virtualization environment.
APNOMS
Hongjing Zhang, Ying Wang, Xuesong Qiu, Wenjing Li, Qinghong Zhong
2009 — conf
Empirical Research on Housing Price Ripple Effect between China's Cities.
SSME
Hongjing Zhang, Lanhai Liu