Xinzhong Zhu

Xinzhong Zhu

Professor

© 2024

Contact Information:

Xinzhong Zhu, a Special Expert of Zhejiang Province, received a Ph.D. from Xidian University and an M.S. from the National University of Defense Technology (NUDT), China. He is a professor at the School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Normal University, and also the chief scientist of Beijing Geekplus Technology Co., Ltd. and president of the Research Institute of Ningbo Cixing Co., Ltd., China. His research interests include Machine learning, Deep clustering, Computer vision, Manufacturing informatization, Robotics and System integration, Laser SLAM, Vision SLAM, Diffusion Model, Low-Quality Data Learning, Multiple Kernel Learning, and Intelligent manufacturing. He is a member of the ACM and certified as a CCF distinguished member. Dr. Zhu has published more than 30 peer-reviewed papers, including those in highly regarded journals and conferences such as the IEEE Transactions on Pattern Analysis and Machine Intelligence, the IEEE Transactions on Image Processing, the IEEE Transactions on Multimedia, the IEEE Transactions on Knowledge and Data Engineering, CVPR, NeurIPS, AAAI, IJCAI, etc. He served on the Technical Program Committees of IJCAI 2020 and AAAI 2020.

Please drop me a message by email: zxz@zjnu.edu.cn or zxz@ci-xing.com or xinzhong.zhu@geekplus.com

Selected Journal Papers:

  1. [Neurocomputing' 2] Xinyu Zhang, Huiying Xu*, Xinzhong Zhu, Yuhang Chen: Deep Contrastive Clustering via Hard Positive Sample Debiased. Neurocomputing 570: 127147. (2024) (SCI Q1) [PDF]

  2. [Information Fusion' 1] Miaomiao Li, Yi Zhang, Suyuan Liu, Zhe Liu*, Xinzhong Zhu*: Simple Multiple Kernel k-Means with Kernel Weight Regularization. Information Fusion 100: 101902. (2023) (SCI Q1) [PDF]

  3. [Computational Intelligence and Neuroscience' 1] Jiaji Qiu, Huiying Xu*, Xinzhong Zhu, and Michael Adjeisah: Localized Simple Multiple Kernel K-Means Clustering with Matrix-Induced Regularization. Computational Intelligence and Neuroscience (2023) (SCI Q3) [PDF]

  4. [TCYB' 4] Jun Wang, Chang Tang*, Xinwang Liu, Wei Zhang, Wanqing Li, Xinzhong Zhu, Lizhe Wang, Albert Y. Zomaya: Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection. IEEE Transactions on Cybernetics (TCYB) (CCF Rank B) [PDF]

  5. [Computers in Biology and Medicine' 1] Jun Chen, Xinzhong Zhu, Huawen Liu*: A mutual neighbor-based clustering method and its medical applications. Computers in Biology and Medicine (SCI Q1) [PDF]

  6. [Analytica Chimica Acta' 1] Dawei Cao, Hechuan Lin, Ziyang Liu, Yuexing Gu, Weiwei Hua, Xiaowei Cao*, Yayun Qian*, Huiying Xu*, Xinzhong Zhu: Serum-based surface-enhanced Raman spectroscopy combined with PCA-RCKNCN for rapid and accurate identification of lung cancer. Analytica Chimica Acta (SCI Q1) [PDF]

  7. [Computer Science Review' 1] Michael Adjeisah, Xinzhong Zhu*, Huiying Xu*, Tewodros Alemu Ayall: Towards data augmentation in graph neural network: An overview and evaluation. Computer Science Review (SCI Q1) [PDF]

  8. [Sensors and Actuators: B. Chemical' 1] Dawei Cao, Hechuan Lin, Ziyang Liu, Jiaji Qiu, Shengjie Ge, Weiwei Hua, Xiaowei Cao, Yayun Qian, Huiying Xu*, Xinzhong Zhu: PCA-TLNN-based SERS analysis platform for label-free detection and identification of cisplatin-treated gastric cancer. Sensors and Actuators: B. Chemical (SCI Q1) [PDF]

  9. [JMI' 1] Mahvish Samar, Xinzhong Zhu*: Multiplicative Perturbation Analysis for the Generalized Cholesky Block Downdating Problem. Journal of Mathematical Inequalities (JMI) (SCI Q2) [PDF]

  10. [AIMS Mathematics' 1] Mahvish Samar*, Xinzhong Zhu: Structured conditioning theory for the total least squares problem with linear equality constraint and their estimation. AIMS Mathematics (SCI Q1) [PDF]

  11. [Mathematics' 1] Mahvish Samar*, Xinzhong Zhu, Abdul Shakoor: Conditioning Theory for Generalized Inverse C‡A and Their Estimations. Mathematics (SCI Q1) [PDF]

  12. [TMM' 2] Changchong Sheng, Xinzhong Zhu*, Huiying Xu, Matti Pietikainen, Li Liu: Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading. IEEE Transactions on Multimedia (TMM) (Early Access, CCF Rank B) [PDF]

  13. [TIP' 1] Siwei Wang, Xinwang Liu*, Xinzhong Zhu, Pei Zhang, Yi Zhang, Feng Gao and En Zhu: "Fast Parameter-free Multi-view Subspace Clustering with Consensus Anchor Guidance". IEEE Transactions on Image Processing (TIP) (CCF Rank A) [PDF]

  14. [TCYB' 3] Miaomiao Li#, Jingyuan Xia#, Huiying Xu#, Qing Liao, Xinzhong Zhu*, Xinwang Liu*: "Localized Incomplete Multiple Kernel k-means with Matrix-induced Regularization". IEEE Transactions on Cybernetics (TCYB) (CCF Rank B)[PDF]

  15. [IJIS' 1] Huiqiang Lian, Huiying Xu*, Siwei Wang, Miaomiao Li, Xinzhong Zhu, Xinwang Liu: "Partial multiview clustering with locality graph regularization". International Journal of Intelligent Systems (IJIS) 36(6): 2991- 3010 (2021) (SCI Q1) [PDF]

  16. [TPAMI' 3] Xinwang Liu#, Lei Wang#, Xinzhong Zhu*#, Miaomiao Li, En Zhu, Tongliang Liu, Li Liu, Yong Dou, Jianping Yin: "Absent Multiple Kernel Learning Algorithms". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42(6): 1303-1316 (2020) (CCF Rank A) [PDF] [Code]

  17. [TPAMI' 2] Xinwang Liu#, Xinzhong Zhu*#, Miaomiao Li, Lei Wang, En Zhu, Tongliang Liu, Marius Kloft, Dinggang Shen, Jianping Yin, Wen Gao: "Multiple kernel k-means with incomplete kernels". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42(5): 1191-1204 (2020) (CCF Rank A, ESI Highly Cited Papers) [PDF] [Code]

  18. [TPAMI' 1] Xinwang Liu#, Xinzhong Zhu*#, Miaomiao Li, Lei Wang, Chang Tang, Jianping Yin, Dinggang Shen, Huaimin Wang and Wen Gao: "Late Fusion Incomplete Multi-view Clustering". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 41(10): 2410-2423 (2019) (CCF Rank A, ESI Highly Cited Papers) [PDF] [Code]

  19. [TKDE' 4] Chang Tang, Xinwang Liu*, Xinzhong Zhu, Jian Xiong, Miaomiao Li, Jingyuan Xia, Xiangke Wang, Lizhe Wang: Feature Selective Projection with Low-Rank Embedding and Dual Laplacian Regularization. IEEE Transactions on Knowledge and Data Engineering (TKDE). 32(9):1747-1760 (2020) (CCF Rank A, ESI Highly Cited Papers, ESI Hot Papers)

  20. [TKDE' 3] Xifeng Guo, Xinwang Liu*, En Zhu*, Xinzhong Zhu, Miaomiao Li, Xin Xu, and Jianping Yin*: Adaptive Self-paced Deep Clustering with Data Augmentation. IEEE Transactions on Knowledge and Data Engineering (TKDE). 32(9):1680-1693 (2020) (CCF Rank A) [PDF] [Code]

  21. [TKDE' 2] Yawei Zhao*, En Zhu, Xinwang Liu, Deke Guo, Xinzhong Zhu, and Jianping Yin: Simultaneous Clustering and Optimization for Evolving Datasets. IEEE Transactions on Knowledge and Data Engineering (TKDE). (Accepted June 2019) [PDF]

  22. [TKDE' 1] Yawei Zhao*, Kai Xu, Xinwang Liu, En Zhu, Xinzhong Zhu, and Jianping Yin: Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets. IEEE Transactions on Knowledge and Data Engineering (TKDE) 31(8): 1610-1623 (2019) [PDF]

  23. [TMM' 1] Chang Tang*#, Xinzhong Zhu*#, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang and Lizhe Wang: Learning a Joint Affinity Graph for Multi-view Subspace Clustering. IEEE Transactions on Multimedia (TMM) 21(7): 1724-1736 (2019) (CCF Rank B, ESI Highly Cited Papers) [PDF]

  24. [ER' 1] Xinzhong Zhu*#, Di Dong*, Zhendong Chen#, Mengjie Fang, Liwen Zhang, Jiangdian Song, Dongdong Yu, Yali Zang, Zhenyu Liu, Jingyun Shi* and Jie Tian: Radiomic Signature as a Diagnostic Factor for Histologic Subtype Classification of Non-small Cell Lung Cancer. European Radiology 1(2): 2772–2778 (2018) (SCI Q1, ESI Highly Cited Papers) [PDF]

  25. [Neurocomputing' 1] Xinzhong Zhu#, Chang Tang#, Pichao Wang, Huiying Xu, Minhui Wang*, Jiajia Chen* and Jie Tian: Saliency Detection via Affinity Graph Learning and Weighted Manifold Ranking. Neurocomputing 312(5): 239-250 (2018) (SCI Q1) [PDF]

  26. [Complexity' 1] Xinzhong Zhu*, Huiying Xu, Jianmin Zhao and Jie Tian*: Automated Epileptic Seizure Detection in Scalp EEG Based on Spatial-Temporal Complexity. Complexity 12: 1-9 (2017) (SCI Q2) [PDF]

  27. [ESWA' 1] Chang Tang#, Xinzhong Zhu*#, Jiajia Chen*, Pichao Wang, Xinwang Liu and Jie Tian: Robust Graph Regularized Unsupervised Feature Selection. Expert Systems With Applications (ESWA) 96(12): 64-76 (2017) (SCI Q1) [PDF]

Selected Conference Papers:

  1. [NeurIPS' 1] Siwei Wang, Xinwang Liu*, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu: Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences. NeurIPS 2022. (CCF Rank A) [PDF]

  2. [CVPR' 2] Siwei Wang, Xinwang Liu*, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu: Highly-efficient Incomplete Large-scale Multi-view Clustering with Consensus Bipartite Graph. CVPR 2022. (CCF Rank A) [PDF]

  3. [AAAI' 4] Chang Tang, Xinwang Liu*, Xinzhong Zhu, En Zhu, Kun Sun, Pichao Wang, Lizhe Wang and Albert Zomaya: MRF: Defocus Blur Detection via Recurrently Refining Multi-scale Residual Features. AAAI 2020. (CCF Rank A, Accepted Nov. 2019)

  4. [AAAI' 3] Chang Tang, Xinwang Liu*, Xinzhong Zhu, En Zhu, Zhigang Luo, Wen Gao: CGD: Multi-view Clustering via Cross-view Graph Diffusion. AAAI 2020. (CCF Rank A, Accepted Nov. 2019)

  5. [AAAI' 2] Xinwang Liu#, Xinzhong Zhu*#, Miaomiao Li, Chang Tang, En Zhu, Jianping Yin, Wen Gao: Efficient and Effective Incomplete Multi-view Clustering. AAAI 2019.(CCF Rank A) [PDF]

  6. [AAAI' 1] Chang Tang, Xinwang Liu*, Xinzhong Zhu*, Lizhe Wang: Cross-view Local Structure Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection. AAAI 2019.(CCF Rank A) [PDF]

  7. [CVPR' 1] Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Zomaya: DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-scale Deep Features. CVPR 2019. (CCF Rank A) [PDF]

  8. [IJCAI' 1] Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao: Localized Incomplete Multiple Kernel k-means. nternational Joint Conference on Artificial Intelligence (IJCAI) Stockholm, 2018, 3271-3277. (CCF Rank A) [PDF]

Brief Bio：

Xinzhong Zhu, a Special Expert of Zhejiang Province, received a Ph.D. degree from Xidian University and an M.S. degree from the National University of Defense Technology (NUDT), China. He is a professor at the School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Normal University, and also the chief scientist of Beijing Geekplus Technology Co., Ltd. and president of the Research Institute of Ningbo Cixing Co., Ltd., China. His research interests include Machine learning, Deep clustering, Computer vision, Manufacturing informatization, Robotics and System integration, Laser SLAM, Vision SLAM, Diffusion Model, Low-Quality Data Learning, Multiple Kernel Learning, and Intelligent manufacturing. He is a member of the ACM and certified as a CCF distinguished member. Dr. Zhu has published more than 30 peer-reviewed papers, including those in highly regarded journals and conferences such as the IEEE Transactions on Pattern Analysis and Machine Intelligence, the IEEE Transactions on Image Processing, the IEEE Transactions on Multimedia, the IEEE Transactions on Knowledge and Data Engineering, CVPR, NeurIPS, AAAI, IJCAI, etc. He served on the Technical Program Committees of IJCAI 2020 and AAAI 2020.