I am currently an assistant professor at Fuzhou University.

I graduated from the School of Software Engineering of Xi’an Jiaotong University with a doctoral degree, supervised by Prof. Jihua Zhu. I joined the Cognitive Systems and Information Processing Group in the 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 to 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 40+ papers at the top international AI conferences and journals, such as CVPR, AAAI, ACM MM, IEEE TKDE, IEEE TNNLS, IEEE TCSVT, and IEEE TITS. I also serve as a reviewer for top conferences and journals, including CVPR, AAAI, NeurIPS, IJCAI, ACM MM, IEEE TPAMI, IEEE TIP, IEEE TKDE, IEEE TCSVT, and IEEE TBD.

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

🔥 News

• 2025.11.08:  🎉 One paper “MixSCL” is accepted by IEEE SPL (CCF C). Congratulations to Peihuan Song, good work!
• 2025.11.08:  🎉 Two papers are accepted by AAAI (CCF A).
• 2025.10.19:  🎉 The source codes of “TGL” can be found in TGL repository.
• 2025.10.13:  🎉 One paper “TGL” is accepted by IEEE TKDE (CCF A).
• 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

✏️ Representation Learning and Multi-view Learning

• Supervised contrastive learning with mixed samples for long-tailed recognition,
  Peihuan Song, Luojun Lin, Yuanlong Yu, Wenjie Yang✉, Qinghai Zheng
  IEEE Signal Processing Letters, 2025 (Accepted). (CCF C). | [code (coming soon)]

• Pseudo multi-view k-means clustering,
  Jinqian Chen, Jihua Zhu✉, Haoyu Tang, Qinghai Zheng
  Proceedings of the AAAI Conference on Artificial Intelligence, 2026 (Accepted). (CCF A). | [code (coming soon)]

• Decompose and conquer: compositional reasoning for zero-shot temporal action localization,
  Haoyu Tang, Tianyuan Liang, Han Jiang, Xuesong Liu, Qinghai Zheng, Yupeng Hu✉
  Proceedings of the AAAI Conference on Artificial Intelligence, 2026 (Accepted). (CCF A).

• From one comes two: a tensorized graph learning framework for clustering,
  Qinghai Zheng, Jihua Zhu✉, Yuanlong Yu✉, Haoyu Tang
  IEEE Transactions on Knowledge and Data Engineering, 2025 (Accepted). (CCF A). | [code]

• Label distribution-driven multi-view representation learning,
  Wenbiao Yan, Minghong Wu, Yiyang Zhou, Qinghai Zheng, Jinqian Chen, Haozhe Cheng, Jihua Zhu✉
  Information Fusion, 2025, 115: 102727. (IF=15.5).

• 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, 35(8): 15374-15384. (CCF B).

• Graph variational multi-View clustering,
  Wenbiao Yan, Jihua Zhu✉, Jinqian Chen, Haozhe Cheng, Qinghai Zheng
  IEEE Transactions on Circuits and Systems for Video Technology, 2025, 35(10): 9804-9808. (CCF B).

• Geometry-aware triplane diffusion for single shape generation with feature alignment,
  Hongliang Weng, Qinghai Zheng, Yuanlong Yu, Yixin Zhuang✉
  Computers and Graphics, 2025: 104384. (IF=2.8)

• 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]

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

• Partially multi-view clustering via re-alignment,
  Wenbiao Yan, Jihua Zhu✉, Jinqian Chen, Haozhe Cheng, Shunshun Bai, Liang Duan, Qinghai Zheng
  Neural Networks, 2025, 182: 106884. (CCF B).

• Relationship completion for incomplete multi-view clustering,
  Minghong Wu, Jihua Zhu✉, Wenbiao Yan, Bin Chen, Qinghai Zheng
  Neural Networks, 2025, 191: 107791. (CCF B).

• Graph-guided imputation-free incomplete multi-view clustering,
  Shunshun Bai, Qinghai Zheng, Xiaojin Ren, Jihua Zhu✉
  Expert Systems with Applications, 2024, 258: 125165. (CCF C).

• Mcoco: multi-level consistency collaborative multi-view clustering,
  Yiyang Zhou, Qinghai Zheng, Yifei Wang, Wenbiao Yan, Pengcheng Shi, Jihua Zhu✉
  Expert Systems with Applications, 2024, 238: 121976. (CCF C).

• Multi-view semantic consistency based information bottleneck for clustering,
  Wenbiao Yan, Yiyang Zhou, Yifei Wang, Qinghai Zheng, Jihua Zhu✉
  Knowledge-Based Systems, 2024, 288: 111448. (CCF C).

• Multi-view representation learning with dual-label collaborative guidance,
  Bin Chen, Xiaojin Ren, Shunshun Bai, Ziyuan Chen, Qinghai Zheng, Jihua Zhu ✉
  Knowledge-Based Systems, 2024, 305: 112680. (CCF C).

• Graph-driven deep multi-View clustering with self-paced learning,
  Shunshun Bai, Xiaojin Ren, Qinghai Zheng, Jihua Zhu✉
  Knowledge-Based Systems, 2024, 296: 111871. (CCF C).

• 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]

• Semantically consistent multi-view representation learning,
  Yiyang Zhou, Qinghai Zheng, Shunshun Bai, Jihua Zhu✉
  Knowledge-Based Systems, 2023, 278: 110899. (CCF C).

• 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]

• Essential multi-view graph learning for clustering,
  Shuangxun Ma, Qinghai Zheng, Yuehu Liu✉
  Journal of Ambient Intelligence and Humanized Computing, 2022, 13(11): 5225-5236. (CCF C).

• Orthogonal multi-view tensor-based learning for clustering,
  Shuangxun Ma, Yuehu Liu✉, Guangcan Liu, Qinghai Zheng, Chi Zhang
  Neurocomputing, 2021, 500: 592-603. (CCF C).

• Multiview spectral clustering via complementary information,
  Shuangxun Ma, Yuehu Liu✉, Qinghai Zheng, Yaochen Li, Zhichao Cui
  Concurrency and Computation: Practice and Experience, 2021, 33(15): e5701. (CCF C).

• 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]

• Multi-view hierarchical clustering (MHC),
  Qinghai Zheng, Jihua Zhu✉, Shuangxun Ma
  Arxiv, 2020, 2010.07573. An interesting try! One of my favorite works :)

• Multi‐view spectral clustering via partial sum minimisation of singular values,
  Ling Zhai, Jihua Zhu✉, Qinghai Zheng, Shanmin Pang, Zhongyu Li, Jun Wang
  Electronics Letters, 2019, 55(6): 314-316.

✏️ 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, 2025, 37(7): 3933-3946. (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]

• Semi-supervised label distribution learning with co-regularization,
  Xinyuan Liu, Jihua Zhu✉, Qinghai Zheng, Zhiqiang Tian, Zhongyu Li
  Neurocomputing, 2022, 491: 353-364. (CCF C).

• Bidirectional loss function for label enhancement and distribution learning,
  Xinyuan Liu, Jihua Zhu✉, Qinghai Zheng, Zhongyu Li, Ruixin Liu, Jun Wang
  Knowledge-Based Systems, 2021, 213: 106690. (CCF C).

• 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, 2021, 34(04): 5932-5939. (CCF A).

✏️ Multimedia Retrieval and Federated Learning

• 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: 25581-25589. (CCF A).

• Boundary-aware temporal dynamic pseudo-supervision pairs generation for zero-shot natural language video localization,
  Xiongwen Deng, Haoyu Tang✉, Han Jiang, Qinghai Zheng, Jihua Zhu
  Proceedings of the AAAI Conference on Artificial Intelligence, 2025, 33(3): 2717-2725. (CCF A).

• Face: a dual-template and adaptive curriculum framework for unsupervised text-based person search,
  Xiaoxuan Mu, Haoyu Tang✉, Han Jiang, Tianyuan Liang, Qinghai Zheng, Jihua Zhu
  Proceedings of ACM International Conference on Multimedia, 2025: 4107-4116. (CCF A).

• 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, 2024. 38(10): 11329-11337. (CCF A).

• 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=15.5).

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

• Multi-level query interaction for temporal language grounding,
  Haoyu Tang, Jihua Zhu✉, Lin Wang, Qinghai Zheng, Tianwei Zhang
  IEEE Transactions on Intelligent Transportation Systems, 2022, 23(12): 25479-25488. (CCF B).

🎖 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.

💬 Notes and Talks

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