Chenglong Zhang 张成龙

Chenglong Zhang 张成龙

Ph.D. Candidate, Nanjing University

Currently, I am pursuing the Ph.D. degree under the advisory of Prof. Huaxiong Li and Prof. Xianzhong Zhou, in the Department of Control Science and Intelligence Engineering, Nanjing University (NJU), Jiangsu, China. Before joining NJU, I received the M.S. degree in 2025 from Hangzhou Normal University, Zhejiang, China, supervised by Prof. Weiguo Sheng and Assoc. Prof. Bingbing Jiang. In 2022, I received the B.Sc. degree from China Jiliang University, Zhejiang, China.

My research interests include semi-supervised/unsupervised learning, feature selection, and multi-view data fusion. Until now, I have published more than 10 papers in machine learning and data mining , including AAAI, IJCAI, ACM MM, TFS, TETCI, PR, Information Fusion, and Information Sciences.

📖 Educations

  • 2025.09 - Now, Nanjing University, Ph.D Candidate
    • Management Science and Engineering, Department of Control Science and Intelligence Engineering
  • 2022.09 - 2025.06, Hangzhou Normal University, Master
    • Computer Science and Technology, School of Information Science and Technology
  • 2018.09 - 2022.06, China Jiliang University, Bachelor
    • Information and Computing Science, School of Science

💻 Research

  • Multi-view Learning
  • Feature Selection
  • Un/Semi/Weakly-supervised Learning

📝 Publications

  1. Bingbing Jiang, Chenglong Zhang#, Zhongli Wang, Xinyan Liang, Peng Zhou, Liang Du, Qinghua Zhang, Weiping Ding, Yi Liu, et al. Scalable Fuzzy Clustering with Collaborative Structure Learning and Preservation. IEEE Transactions on Fuzzy Systems, 2025. (DOI: 10.1109/TFUZZ.2025.3581679)
  2. Bingbing Jiang, Chenglong Zhang#, Xinyan Liang#, Peng Zhou, Jie Yang, Xingyu Wu, Junyi Guan, Weiping Ding, Weiguo Sheng. Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering. The 39th AAAI Conference on Artificial Intelligence (AAAI’25), February 25 - March 4, 2025, Philadelphia, Pennsylvania, USA.
  3. Zhongli Wang, Jie Yang, Junyi Guan, Chenglong Zhang, Xinyan Liang, Bingbing Jiang, Weiguo Sheng. Enhanced Density Peak Clustering for High-dimensional Data. The 39th AAAI Conference on Artificial Intelligence (AAAI’25), February 25 - March 4, 2025, Philadelphia, Pennsylvania, USA.
  4. Bingbing Jiang, Jun Liu, Zidong Wang, Chenglong Zhang#, Jie Yang, Yadi Wang, Weiguo Sheng, Weiping Ding#. Semi-supervised Multi-view Feature Selection with Adaptive Similarity Fusion and Learning. Pattern Recognition, vol 159, pp. 111159, 2025.
  5. Chenglong Zhang, Xinyan Liang, Peng Zhou, Zhaolong Ling, Yingwei Zhang, Xingyu Wu, Weiguo Sheng, Bingbing Jiang. Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion. The 32nd ACM International Conference on Multimedia (MM’24), 28 October - 1 November, 2024, Melbourne, Australia.
  6. Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng. Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. The 33rd International Joint Conference on Artificial Intelligence (IJCAI’24), August 3-9, 2024, Jeju, South Korea.
  7. Chenglong Zhang*, Xinjie Zhu *, Zidong Wang, Yan Zhong, Weiguo Sheng, Weiping Ding, Bingbing Jiang. Discriminative Multi-View Fusion via Adaptive Regression. IEEE Transactions on Emerging Topics in Computational Intelligence, vol 8 (6), pp. 3821 - 3833, 2024.
  8. Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang. Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks. The International Joint Conference on Neural Networks (IJCNN’24), June 30, 2024, Yokohama, Japan.
  9. Chenglong Zhang, Bingbing Jiang, Zidong Wang, Jie Yang, Yangfeng Lu, Xingyu Wu, Weiguo Sheng. Efficient multi-view semi-supervised feature selection. Information Sciences, vol 649 (11), pp. 119675, 2023.
  10. Bingbing Jiang, Chenglong Zhang, Yan Zhong, Yi Liu, Yingwei Zhang, Xingyu Wu, Weiguo Sheng. Adaptive Collaborative Fusion for Multi-view Semi-supervised Classification. Information Fusion, vol 96 (8), pp. 37 - 50, 2023.

    Note: * indicates the co-first authors, # indicates the corresponding authors.

🎖 Honors and Awards

  • Outstanding Graduate Award of Zhejiang Province, Education Department of Zhejiang Province, Jan 2025
  • Outstanding Graduate Award of Hangzhou Normal University, Hangzhou Normal University, Jun 2025
  • National Scholarship, Ministry of Education of the People’s Republic of China, Dec 2024
  • Outstanding Graduate Award of Zhejiang Province, Education Department of Zhejiang Province, Jan 2022
  • Outstanding Graduate Award of China Jiliang University, China Jiliang University, Jun 2022

⏳ Professional Services

Program Committee Member (PC)

  • The 40th AAAI Conference on Artificial Intelligence (AAAI’26)
  • The 34th ACM International Conference on Multimedia (ACM MM’25)
  • The 13th International Conference on Learning Representations (ICLR’25)
  • The 2025 International Joint Conference on Neural Networks (IJCNN’25)

Journal Invited Reviewer

  • Information Science (INS, ELSEVIER)
  • Information Processing and Management (IPM, Elsevier)