Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. - Haonan Huang; Naiyao Liang; Wei Yan; Zuyuan Yang; Zhenni Li; Weijun Sun (ICDM (Workshops), 2020)

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data. - Haonan Huang; Naiyao Liang; Wei Yan; Zuyuan Yang; Weijun Sun (CoRR, 2020)

Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization. - Haonan Huang; Yihao Luo; Guoxu Zhou; Qibin Zhao (ICASSP, 2022)

Multi-view Data Classification with a Label-driven Auto-weighted Strategy. - Yuyuan Yu; Guoxu Zhou; Haonan Huang; Shengli Xie; Qibin Zhao (CoRR, 2022)

Computing Power Network: A Survey. - Yukun Sun; Junlin Liu; Haonan Huang; Xing Zhang 001; Bo Lei; Jing Peng; Wenbo Wang 007 (CoRR, 2022)

A Converged Deep Graph Semi-NMF Algorithm for Learning Data Representation. - Haonan Huang; Zuyuan Yang; Zhenni Li; Weijun Sun (Circuits Syst. Signal Process., 2022)

A semi-supervised label-driven auto-weighted strategy for multi-view data classification. - Yuyuan Yu; Guoxu Zhou; Haonan Huang; Shengli Xie; Qibin Zhao (Knowl. Based Syst., 2022)

Resource Allocation based on Computing Modeling in Computing Power Network. - Haonan Huang; Zheyan Qu (ICCC Workshops, 2023)

Application of BP Neural Network Based on Genetic Algorithm Optimization for Prediction of Vegetable Sales Datasets. - Yunzhi Bai; Haonan Huang; Jingqi Li (ICEITSA, 2023)

Incomplete Multiview Clustering via Low-Rank Tensor Ring Completion. - Jinshi Yu; Haonan Huang; Qi Duan; Yafei Wang; Tao Zou 001 (Int. J. Intell. Syst., 2023)

GNAEMDA: Microbe-Drug Associations Prediction on Graph Normalized Convolutional Network. - Haonan Huang; Yuping Sun; Meijing Lan; Huizhe Zhang; Guobo Xie (IEEE J. Biomed. Health Informatics, 2023)

Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation. - Haonan Huang; Guoxu Zhou; Naiyao Liang; Qibin Zhao; Shengli Xie (IEEE CAA J. Autom. Sinica, 2023)

Exclusivity and consistency induced NMF for multi-view representation learning. - Haonan Huang; Guoxu Zhou; Yanghang Zheng; Zuyuan Yang; Qibin Zhao (Knowl. Based Syst., 2023)

Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing. - Runpu Wei; Zijin Yin; Kongming Liang; Min Min; Chengwei Pan; Gang Yu; Haonan Huang; Yan Liu; Zhanyu Ma (BIBM, 2024)

Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework. - Haonan Huang; Guoxu Zhou; Yanghang Zheng; Yuning Qiu; Andong Wang; Qibin Zhao (ICML, 2024)

Community and Priority-Based Microservice Placement in Collaborative Vehicular Edge Computing Networks. - Zheyan Qu; Xing Zhang; Haonan Huang; Yang Li; Wenbo Wang (WCNC, 2024)

Generalized latent multi-view clustering with tensorized bipartite graph. - Dongping Zhang; Haonan Huang; Qibin Zhao; Guoxu Zhou (Neural Networks, 2024)

Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization. - Haonan Huang; Guoxu Zhou; Qibin Zhao; Lifang He 001; Shengli Xie (IEEE Trans. Neural Networks Learn. Syst., 2024)

STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search. - Yuning Qiu; Andong Wang; Chao Li 013; Haonan Huang; Guoxu Zhou; Qibin Zhao (CVPR, 2025)

Unifying complete and incomplete multi-view clustering through an information-theoretic generative model. - Yanghang Zheng; Guoxu Zhou; Haonan Huang; Xintao Luo; Zhenhao Huang; Qibin Zhao (Neural Networks, 2025)

Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering. - Chunming Xiao; Yonghui Huang; Haonan Huang; Qibin Zhao; Guoxu Zhou (IEEE Trans. Emerg. Top. Comput. Intell., 2025)