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Xiaoshuang Sang
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2020 – today
- 2024
- [j7]Xiaoshuang Sang, Yang Zou, Feng Li, Ranran He:
Diverse representation-guided graph learning for multi-view metric clustering. J. King Saud Univ. Comput. Inf. Sci. 36(7): 102129 (2024) - 2022
- [j6]Xiaoshuang Sang, Jianfeng Lu, Hong Lu:
Consensus graph learning for auto-weighted multi-view projection clustering. Inf. Sci. 609: 816-837 (2022) - 2021
- [j5]Xiaoshuang Sang, Hong Lu, Qinghua Zhao, Faen Zhang, Jianfeng Lu:
Nonconvex regularizer and latent pattern based robust regression for face recognition. Inf. Sci. 547: 384-403 (2021) - 2020
- [j4]Hong Lu, Xiaoshuang Sang, Qinghua Zhao, Jianfeng Lu:
Community Detection Algorithm Based on Nonnegative Matrix Factorization and Improved Density Peak Clustering. IEEE Access 8: 5749-5759 (2020) - [j3]Hong Lu, Zhu Shen, Xiaoshuang Sang, Qinghua Zhao, Jianfeng Lu:
Community detection method using improved density peak clustering and nonnegative matrix factorization. Neurocomputing 415: 247-257 (2020) - [j2]Xiaoshuang Sang, Yesong Xu, Hong Lu, Qinghua Zhao, Zakir Ali, Jianfeng Lu:
Robust mixed-norm constrained regression with application to face recognitions. Neural Comput. Appl. 32(23): 17551-17567 (2020) - [j1]Hong Lu, Qinghua Zhao, Xiaoshuang Sang, Jianfeng Lu:
Community Detection in Complex Networks Using Nonnegative Matrix Factorization and Density-Based Clustering Algorithm. Neural Process. Lett. 51(2): 1731-1748 (2020)
2010 – 2019
- 2018
- [c1]Qinghua Zhao, Xiaoshuang Sang, Jianfeng Lu:
Weighted group sparse functional connectivity modeling for Alzheimer's disease identification. ISBI 2018: 541-544
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