Assistant Professor |
I am currently an assistant professor at Fuzhou University. I've received the bachelor, master and Ph.D. degree (supervised by Prof. Jihua Zhu) from Xi'an Jiaotong University from 2015, 2018, and 2021, respectively. I joined the College of Computer and Data Science of Fuzhou University in 2022.
My research area is machine learning and data mining, with special interests in multi-view learning, label distribution learning, and subspace clustering.
Twin reciprocal completion for incomplete multi-view clustering
Qinghai Zheng, Haoyu Tang
IEEE Transactions on Circuits and Systems for Video Technology, 2024. (CCF B), [CODE (coming soon)]
Flexible and parameter-free graph learning for multi-view spectral clustering
Qinghai Zheng
IEEE Transactions on Circuits and Systems for Video Technology, 2024. (CCF B), [CODE]
Incomplete multi-view clustering via inference and evaluation
Binqiang Huang, Zhijie Huang, Shoujie Lan, Qinghai Zheng*, Yuanlong Yu
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024 (CCF B), [CODE]
Double-level view-correlation multi-view subspace clustering
Shoujie Lan, Qinghai Zheng*, Yuanlong Yu
Knowledge-Based Systems, 2023. (CCF C), [CODE]
Label information bottleneck for label enhancement
Qinghai Zheng, Jihua Zhu, Haoyu Tang
IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CCF A), [CODE]
Large-scale multi-view clustering via fast essential subspace representation learning
Qinghai Zheng
IEEE Signal Processing Letters, 2022. (CCF C), [CODE]
Graph-guided unsupervised multi-view representation learning
Qinghai Zheng, Jihua Zhu, Zhongyu Li, Haoyu Tang
IEEE Transactions on Circuits and Systems for Video Technology, 2022. (CCF B), [CODE]
Comprehensive multi-view representation learning
Qinghai Zheng, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Chen Li
Information Fusion, 2022. (IF=17.564), [CODE]
Multi-view subspace clustering with view correlations via low-rank tensor learning
Qinghai Zheng, Jihua Zhu
Computers and Electrical Engineering, 2022. [CODE]
Collaborative unsupervised multi-view representation learning
Qinghai Zheng, Jihua Zhu, Zhongyu Li
IEEE Transactions on Circuits and Systems for Video Technology, 2021. (CCF B), [CODE]
Generalized label enhancement with sample correlations [ESI]
Qinghai Zheng, Jihua Zhu, Haoyu Tang, Xinyuan Liu, Zhongyu Li, Huimin Lu
IEEE Transactions on Knowledge and Data Engineering, 2021. (CCF A), [CODE]
Multi-view subspace clustering networks with local and global graph information
Qinghai Zheng, Jihua Zhu, Yuanyuan Ma, Zhongyu Li, Zhiqiang Tian
Neurocomputing, 2021. (CCF C), [CODE]
Constrained bilinear factorization multi-view subspace clustering
Qinghai Zheng, Jihua Zhu, Zhiqiang Tian, Zhongyu Li, Shanmin Pang, Xiuyi Jia
Knowledge-Based Systems, 2020. (CCF C), [CODE]
Feature concatenation multi-view subspace clustering
Qinghai Zheng, Jihua Zhu, Zhongyu Li, Shanmin Pang, Jun Wang, Yaochen Li
Neurocomputing, 2020. (CCF C), [CODE]