| Feature concatenation multi-view subspace clustering Q Zheng, J Zhu, Z Li, S Pang, J Wang, Y Li arXiv preprint arXiv:1901.10657, 2019 | 107 | 2019 |
| Efficient registration of multi-view point sets by K-means clustering J Zhu, Z Jiang, GD Evangelidis, C Zhang, S Pang, Z Li Information Sciences 488, 205-218, 2019 | 77 | 2019 |
| Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval S Pang, J Ma, J Xue, J Zhu, V Ordonez IEEE Transactions on Multimedia, 2018 | 39* | 2018 |
| Magdr: Mask-guided detection and reconstruction for defending deepfakes Z Chen, L Xie, S Pang, Y He, B Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37 | 2021 |
| Constrained bilinear factorization multi-view subspace clustering Q Zheng, J Zhu, Z Tian, Z Li, S Pang, X Jia Knowledge-Based Systems 194, 105514, 2020 | 36 | 2020 |
| Building discriminative CNN image representations for object retrieval using the replicator equation S Pang, J Zhu, J Wang, V Ordonez, J Xue Pattern Recognition 83, 150-160, 2018 | 35 | 2018 |
| Democratic diffusion aggregation for image retrieval Z Gao, J Xue, W Zhou, S Pang, Q Tian IEEE Transactions on Multimedia 18 (8), 1661-1674, 2016 | 35 | 2016 |
| Appending adversarial frames for universal video attack Z Chen, L Xie, S Pang, Y He, Q Tian Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 33 | 2021 |
| Label enhancement with sample correlations via low-rank representation H Tang, J Zhu, Q Zheng, J Wang, S Pang, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5932-5939, 2020 | 27 | 2020 |
| Deep long short-term memory neural network for accelerated elastoplastic analysis of heterogeneous materials: An integrated data-driven surrogate approach Q Chen, R Jia, S Pang Composite Structures 264, 113688, 2021 | 24 | 2021 |
| Exploiting local linear geometric structure for identifying correct matches S Pang, J Xue, Q Tian, N Zheng Computer Vision and Image Understanding 128, 51-64, 2014 | 24 | 2014 |
| Deep subspace mutual learning for cancer subtypes prediction B Yang, TT Xin, SM Pang, M Wang, YJ Wang Bioinformatics 37 (21), 3715-3722, 2021 | 21 | 2021 |
| Multi-view spectral clustering via common structure maximization of local and global representations W Hao, S Pang, Z Chen Neural Networks 143, 595-606, 2021 | 19 | 2021 |
| Co-weighting semantic convolutional features for object retrieval J Zhu, J Wang, S Pang, W Guan, Z Li, Y Li, X Qian Journal of Visual Communication and Image Representation 62, 368-380, 2019 | 19* | 2019 |
| Registration of multi-view point sets under the perspective of expectation-maximization J Zhu, R Guo, Z Li, J Zhang, S Pang IEEE Transactions on Image Processing 29, 9176-9189, 2020 | 18 | 2020 |
| Integrating multi-omic data with deep subspace fusion clustering for cancer subtype prediction B Yang, Y Zhang, S Pang, X Shang, X Zhao, M Han IEEE/ACM transactions on computational biology and bioinformatics 18 (1 …, 2019 | 17 | 2019 |
| Multi‐view spectral clustering via partial sum minimisation of singular values L Zhai, J Zhu, Q Zheng, S Pang, Z Li, J Wang Electronics Letters 55 (6), 314-316, 2019 | 17 | 2019 |
| Spatial-content image search in complex scenes J Ma, S Pang, B Yang, J Zhu, Y Li Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 16 | 2020 |
| Simultaneously merging multi-robot grid maps at different resolutions Z Jiang, J Zhu, C Jin, S Xu, Y Zhou, S Pang Multimedia Tools and Applications 79, 14553-14572, 2020 | 15 | 2020 |
| Visual space optimization for zero-shot learning X Wang, S Pang, J Zhu, Z Li, Z Tian, Y Li arXiv preprint arXiv:1907.00330, 2019 | 15 | 2019 |
