I am currently an assistant professor at Fuzhou University.

I graduated from the Shool of Software Engineering of Xi’an Jiaotong University with a doctor degree, supervised by Prof. Jihua Zhu. I joined the Cognitive Systems and Information Processing Group in College of Computer and Data Science of Fuzhou University since 2022.03.14.

I am now working on Unsupervised Multi-view Learning and Label Distribution Learning. Regarding the first topic, I dedicate the majority of my time on Tensor-based Multi-view Learning, mostly on clustering (for a specific task) and unified representation learning (for general tasks). Another main focus of mine is Label Enhancement, we have introduced several interesting and promising label enhancement methods, which can obtain label distributions from logical multi-labels.

I have published 30+ papers at the top international AI conferences and journals, such as CVPR, AAAI, ACM MM, IEEE TKDE, IEEE TNNLS, and IEEE TCSVT. I also serve as reviewers for top conferences and journals, including CVPR, AAAI, ACM MM, IEEE TIP, IEEE TKDE, and IEEE TCSVT.

If you are seeking any form of academic cooperation, please feel free to email me at zhengqinghai@fzu.edu.cn.

🔥 News

• 2025.02.24:  🎉 The source codes of “TCVC-IMC” can be found in TCVC-IMC repository.
• 2025.02.09:  🎉 One paper “TCVC-IMC” is accepted by Neurocomputing (CCF C). Congratulations to Liping Zhou, good work!
• 2025.01.09:  🎉 The source codes of “PCA-NCRM” and “CFMVC” can be found in PCA-NCRM and CFMVC repositories.

  2024

• 2024.12.23:  🎉 One paper “PCA-NCRM” is accepted by IEEE SPL (CCF C).
• 2024.12.21:  🎉 One paper “CFMVC” is accepted by IEEE SPL (CCF C). Congratulations to Zhijie Huang, good work!
• 2024.09.23:  🎉 The source codes of “TRC-IMC” can be found in TRC-IMC repository.
• 2024.08.04:  🎉 One paper “TRC-IMC” is accepted by TCSVT (CCF-B).
• 2024.05.20:  🎉 The source codes of “IMVC-IE” can be found in IMVC-IE repository.
• 2024.03.31:  🎉 The source codes of “FPGL” can be found in FPGL repository.
• 2024.03.25:  🎉 One paper “FPGL” is accepted by TCSVT (CCF B).
• 2024.01.17:  🎉 The source codes of “DV-MSC” can be found in DV-MSC repository.

  2023

• 2023.12.17:  🎉 100 citations are achieved by my first paper: “Feature concatenation multi-view subspace clustering”.
• 2023.12.04:  🎉 One paper “IMVC-IE” is accepted by ICASSP 2024 (CCF B). Congratulations to Binqiang Huang, good work!
• 2023.12.03:  🎉 One paper “DV-MSC” was accepted by KBS (CCF C). Congratulations to Shoujie Lan, good work!
• 2023.03.08:  🎉 One paper “LIB” was accepted by CVPR 2023 (CCF A). The source codes can be found in LIBLE repository.

  2022

• 2022.10.31:  🎉 The source codes of “GUMRL” can be found in GUMRL repository.
• 2022.10.31:  🎉 The source codes of “MSCVC” can be found in MSCVC repository.
• 2022.10.05:  🎉 The source codes of “FESRL” can be found in FESRL repository.
• 2022.09.18:  🎉 The source codes of “CMRL” can be found in CMRL repository.
• 2022.08.23:  🎉 One paper “FESRL” is accepted by IEEE SPL (CCF C).
• 2022.08.18:  🎉 One paper “GUMRL” is accepted by IEEE TCSVT (CCF B).
• 2022.08.12:  🎉 One paper “CMRL” is accepted by Information Fusion (IF=17.6).
• 2022.07.03:  🎉 One paper “MSCVC” is accepted by Computers and Electrical Engineering.

📝 Publications

✏️ Multi-view Learning

• Neighbor-based completion for addressing incomplete multi-view clustering,
  Wenbiao Yan, Jihua Zhu✉, Yiyang Zhou, Jinqian Chen, Haozhe Cheng, Kun Yue, Qinghai Zheng
  IEEE Transactions on Neural Networks and Learning Systems 2025 (Accepted). (CCF B).

• Trusted cross-view completion for incomplete multi-view classification,
  Liping Zhou, Shiyun Chen, Peihuan Song, Qinghai Zheng✉, Yuanlong Yu
  Neurocomputing, 2025, 629: 129722. (CCF C). | [code]

• Cross-view fusion for multi-view clustering,
  Zhijie Huang, Binqiang Huang, Qinghai Zheng✉, Yuanlong Yu
  IEEE Signal Processing Letters, 2025, 32: 621-625. (CCF C). | [code]

• Twin reciprocal completion for incomplete multi-view clustering,
  Qinghai Zheng, Haoyu Tang✉
  IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(12): 13201-13212. (CCF B). | [code]

• Flexible and parameter-free graph learning for multi-view spectral clustering,
  Qinghai Zheng
  IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(9): 8966-8971. (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: 8180-8184. (CCF B). | [code]

• Double-level view-correlation multi-view subspace clustering,
  Shoujie Lan, Qinghai Zheng✉, Yuanlong Yu
  Knowledge-Based Systems, 2024, 284: 111271. (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, 2023, 33(1): 146-159. (CCF B). | [code]

• Comprehensive multi-view representation learning,
  Qinghai Zheng, Jihua Zhu✉, Zhongyu Li, Zhiqiang Tian, Chen Li
  Information Fusion, 2023, 89: 198-209. (IF=17.6). | [code]

• Large-scale multi-view clustering via fast essential subspace representation learning,
  Qinghai Zheng
  IEEE Signal Processing Letters, 2022, 29: 1893-1897. (CCF C). | [code]

• Multi-view subspace clustering with view correlations via low-rank tensor learning,
  Qinghai Zheng, Jihua Zhu✉
  Computers and Electrical Engineering, 2022, 100: 107939. (IF=4.2). | [code]

• Collaborative unsupervised multi-view representation learning,
  Qinghai Zheng, Jihua Zhu✉, Zhongyu Li
  IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(7): 4202-4210. (CCF B). | [code]

• Multi-view subspace clustering networks with local and global graph information,
  Qinghai Zheng, Jihua Zhu✉, Yuanyuan Ma, Zhongyu Li, Zhiqiang Tian
  Neurocomputing, 2021, 449: 15-23. (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, 194: 105514. (CCF C). | [code]

• Feature concatenation multi-view subspace clustering,
  Qinghai Zheng, Jihua Zhu✉, Zhongyu Li, Shanmin Pang, Jun Wang, Yaochen Li
  Neurocomputing, 2020, 379: 89-102. (CCF C). | [code]

✏️ Label Distribution Learning

• Causal label enhancement,
  Xinyuan Liu, Jihua Zhu✉, Kun Yue, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian, Mingchen Zhu
  IEEE Transactions on Knowledge and Data Engineering, 2024 (Accepted). (CCF A).

• Label information bottleneck for label enhancement,
  Qinghai Zheng, Jihua Zhu✉, Haoyu Tang
  IEEE Conference on Computer Vision and Pattern Recognition, 2023: 7497-7506. (CCF A). | [code]

• Generalized label enhancement with sample correlations,
  Qinghai Zheng, Jihua Zhu✉, Haoyu Tang, Xinyuan Liu, Zhongyu Li, Huimin Lu
  IEEE Transactions on Knowledge and Data Engineering, 2023, 35(1): 482-495. (CCF A). | [code]

• Label enhancement with sample correlations via low-rank representation,
  Haoyu Tang, Jihua Zhu✉, Qinghai Zheng, Jun Wang, Shanmin Pang, Zhongyu Li
  Proceedings of the AAAI Conference on Artificial Intelligence, 2020, 34(04): 5932-5939. (CCF A). | [code]

✏️ Others

• Towards stable and storage-efficient dataset distillation: matching convexified trajectory,
  Wenliang Zhong, Haoyu Tang✉, Qinghai Zheng, Mingzhu Xu, Yupeng Hu, Weili Guan
  IEEE Conference on Computer Vision and Pattern Recognition, 2025 (Accepted). (CCF A).

• Non-decreasing concave regularized minimization for principal component analysis,
  Qinghai Zheng, Yixin Zhuang✉
  IEEE Signal Processing Letters, 2025, 32: 486-490. (CCF C). | [code]

• Listen as you wish: Fusion of audio and text for cross-modal event detection in smart cities,
  Haoyu Tang, Yupeng Hu✉, Yunxiao Wang, Shuaike Zhang, Mingzhu Xu, Jihua Zhu, Qinghai Zheng
  Information Fusion, 2024, 110, 102460. (IF=14.8).

• Watch your head: assembling projection heads to save the reliability of federated models,
  Jinqian Chen, Jihua Zhu✉, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian
  Proceedings of the AAAI Conference on Artificial Intelligence, 2023, 38(10): 11329-11337. (CCF A).

• Towards fast and stable federated learning: confronting heterogeneity via knowledge anchor,
  Jinqian Chen, Jihua Zhu✉, Qinghai Zheng
  Proceedings of the ACM International Conference on Multimedia, 2023: 8697-8706. (CCF A).

🎖 Honors and Fundings

• 2023.08, Funded by the National Natural Science Foundation of China (62306074).
• 2023.07, Funded by the Natural Science Foundation of Fujian Province (2023J05025).
• 2023.07, Honored by High-Level Introduced Talents (Category C) of Fujian Province.

📖 Educations

• 2018.09 - 2021.12, Doctor, Software Engineering, Xi’an Jiaotong University, Xi’an, China.
• 2015.09 - 2018.06, Master, Software Engineering, Xi’an Jiaotong University, Xi’an, China.
• 2011.09 - 2015.06, Bachelor, Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, China.

💬 Invited Talks

• 2023.07, Research on Label Enhancement, Xi’an. | [slide]