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Haonan Xin

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2020 – today

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2025
[j4]
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  - journals/inffus/ZhaoWXWN25
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  - https://dblp.org/rec/journals/inffus/ZhaoWXWN25
Zihua Zhao, Ting Wang, Haonan Xin, Rong Wang, Feiping Nie:
Multi-view clustering via high-order bipartite graph fusion. Inf. Fusion 113: 102630 (2025)
2024
[j3]
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Haonan Xin, Zhezheng Hao, Zhensheng Sun, Rong Wang, Zongcheng Miao, Feiping Nie:
Multi-view and Multi-order Graph Clustering via Constrained l1,2-norm. Inf. Fusion 111: 102483 (2024)
[c2]
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  - conf/www/HaoXWT0024
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Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie:
Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. WWW 2024: 322-333
2023
[j2]
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  - journals/sigpro/LuZXTWN23
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Yihang Lu, Xuan Zheng, Haonan Xin, Haoliang Tang, Rong Wang, Feiping Nie:
Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery. Signal Process. 204: 108835 (2023)
[j1]
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  - journals/spl/XinLTWN23
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Haonan Xin, Yihang Lu, Haoliang Tang, Rong Wang, Feiping Nie:
Self-Weighted Euler $k$-Means Clustering. IEEE Signal Process. Lett. 30: 1127-1131 (2023)
2022
[c1]
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  - conf/cikm/LuX00022
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Yihang Lu, Haonan Xin, Rong Wang, Feiping Nie, Xuelong Li:
Scalable Multiple Kernel k-means Clustering. CIKM 2022: 4279-4283

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