Chenglong Zhang 张成龙

Chenglong Zhang 张成龙

Ph.D. Candidate
Nanjing University

📝 Publications

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

2026

  1. Jun Liu, Chenglong Zhang#, Tongxue Zhou, Yi Liu, Razieh Sheikhpour, Yadi Wang, Junyi Guan, Jiejiang Chen, Bingbing Jiang#. Multi-view Feature Selection Method with Adaptive Projection Subspace Fusion. Pattern Recognition, 2026 (Accepted).
  2. Chenglong Zhang, Chao Zhang, Junhao Zhang, Junyi Guan, Xianzhong Zhou, Bo Wang, Huaxiong Li. Dual-Topology Learning with Adaptive Anchors for Multi-View Clustering. The 35th International Joint Conference on Artificial Intelligence (IJCAI’26), August 15–21, 2026, Bremen, Germany.
  3. Bingbing Jiang, Zhongli Wang, Jie Yang, Guang-Kui Xu, Wei Chen, Chenglong Zhang, Xinyan Liang, Peng Zhou, Weiguo Sheng, Weiping Ding. Self-Enhanced Density Clustering for High Dimension and Low Sample Size Data. The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’26), August 9–13, 2026, Jeju, Korea.
  4. Jie Yang, Cheng-You Lu, Zhongli Wang, Hsiang-Ting Chen, Guang-Kui Xu, Chenglong Zhang, Shuting Dong, Xinyan Liang, Bingbing Jiang. Multi-View Clustering with Granularity-Aware Pseudo Supervision. The 40th AAAI Conference on Artificial Intelligence (AAAI’26), January 20–27, 2026, Singapore.

2025

  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, vol 33 (9), pp. 3047 - 3060, 2025.
  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.

2024 and before

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.