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2020 – today
- 2025
[j9]Yanghang Zheng, Guoxu Zhou, Haonan Huang, Xintao Luo, Zhenhao Huang, Qibin Zhao:
Unifying complete and incomplete multi-view clustering through an information-theoretic generative model. Neural Networks 182: 106901 (2025)- 2024
- [j8]Dongping Zhang
, Haonan Huang, Qibin Zhao, Guoxu Zhou:
Generalized latent multi-view clustering with tensorized bipartite graph. Neural Networks 175: 106282 (2024) - [j7]Haonan Huang, Guoxu Zhou, Qibin Zhao, Lifang He, Shengli Xie:
Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 35(5): 5953-5967 (2024) - [c7]Runpu Wei, Zijin Yin, Kongming Liang, Min Min, Chengwei Pan, Gang Yu, Haonan Huang, Yan Liu, Zhanyu Ma:
Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing. BIBM 2024: 3828-3831 - [c6]Haonan Huang, Guoxu Zhou, Yanghang Zheng, Yuning Qiu, Andong Wang, Qibin Zhao:
Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework. ICML 2024 - [c5]Zheyan Qu, Xing Zhang, Haonan Huang, Yang Li, Wenbo Wang:
Community and Priority-Based Microservice Placement in Collaborative Vehicular Edge Computing Networks. WCNC 2024: 1-6 - [i4]Runpu Wei, Zijin Yin, Kongming Liang, Min Min, Chengwei Pan, Gang Yu, Haonan Huang, Yan Liu, Zhanyu Ma:
Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing. CoRR abs/2410.16732 (2024) - 2023
- [j6]Haonan Huang, Guoxu Zhou, Naiyao Liang, Qibin Zhao, Shengli Xie:
Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation. IEEE CAA J. Autom. Sinica 10(11): 2154-2167 (2023) - [j5]Jinshi Yu, Haonan Huang, Qi Duan, Yafei Wang, Tao Zou:
Incomplete Multiview Clustering via Low-Rank Tensor Ring Completion. Int. J. Intell. Syst. 2023: 1-15 (2023) - [j4]Haonan Huang, Guoxu Zhou, Yanghang Zheng, Zuyuan Yang, Qibin Zhao:
Exclusivity and consistency induced NMF for multi-view representation learning. Knowl. Based Syst. 281: 111020 (2023) - [j3]Haonan Huang, Yuping Sun, Meijing Lan, Huizhe Zhang, Guobo Xie:
GNAEMDA: Microbe-Drug Associations Prediction on Graph Normalized Convolutional Network. IEEE J. Biomed. Health Informatics 27(3): 1635-1643 (2023) - [c4]Haonan Huang, Zheyan Qu:
Resource Allocation based on Computing Modeling in Computing Power Network. ICCC Workshops 2023: 1-6 - [c3]Yunzhi Bai, Haonan Huang, Jingqi Li:
Application of BP Neural Network Based on Genetic Algorithm Optimization for Prediction of Vegetable Sales Datasets. ICEITSA 2023: 491-496 - 2022
- [j2]Haonan Huang, Zuyuan Yang, Zhenni Li, Weijun Sun:
A Converged Deep Graph Semi-NMF Algorithm for Learning Data Representation. Circuits Syst. Signal Process. 41(2): 1146-1165 (2022) - [j1]Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao:
A semi-supervised label-driven auto-weighted strategy for multi-view data classification. Knowl. Based Syst. 255: 109694 (2022) - [c2]Haonan Huang, Yihao Luo, Guoxu Zhou, Qibin Zhao:
Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. ICASSP 2022: 3338-3342 - [i3]Yuyuan Yu, Guoxu Zhou, Haonan Huang, Shengli Xie, Qibin Zhao:
Multi-view Data Classification with a Label-driven Auto-weighted Strategy. CoRR abs/2201.00714 (2022) - [i2]Yukun Sun, Junlin Liu, Haonan Huang, Xing Zhang, Bo Lei, Jing Peng, Wenbo Wang:
Computing Power Network: A Survey. CoRR abs/2210.06080 (2022) - 2020
- [c1]Haonan Huang, Naiyao Liang, Wei Yan, Zuyuan Yang, Zhenni Li, Weijun Sun:
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. ICDM (Workshops) 2020: 564-570 - [i1]Haonan Huang, Naiyao Liang, Wei Yan, Zuyuan Yang, Weijun Sun:
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. CoRR abs/2012.00993 (2020)
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