Currently, I am working toward the M.Sc. degree under the advisory of Professor Weiguo Sheng and Associate Professor Bingbing Jiang, with the School of Information Science and Technology, Hangzhou Normal University, Zhejiang, China. In 2022, I received the B.Sc. degree from China Jiliang University, Zhejiang, China.

My research interests include multi-view learning, feature selection, and semi-supervised learning. Until now, I have published some research articles in machine learning and data mining, including IJCAI, TETCI, Information Fusion, and Information Sciences.

📝 Publications

  1. 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.
  2. 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.
  3. 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, DOI: 10.1016/j.patcog.2024.111159, 2024.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.

📖 Educations

  • 2018.09 - 2022.06, China Jiliang University, Bachelor
    • Information and Computing Science, School of Science
  • 2022.09 - now, Hangzhou Normal University, Masters Candidate
    • Computer Science and Technology, School of Information Science and Technology

📚 Research

  • Multi-view Learning
  • Feature Selection
  • Semi-supervised Learning

🎖 Honors and Awards

  • 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 Members

  • The International Joint Conference on Neural Networks (IJCNN’25)
  • The 13th International Conference on Learning Representations (ICLR’25)

Journal Invited Reviewer

  • Information Science (INS, ELSEVIER)