Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets. - Miaomiao Huang; Lin Sun 002; Jiucheng Xu; Shiguang Zhang (IEEE Access, 2020)

Global Regularity for Minimizers of Some Anisotropic Variational Integrals. - Hongya Gao; Miaomiao Huang; Wei Ren (J. Optim. Theory Appl., 2021)

Multi-graph multi-label learning with novel and missing labels. - Miaomiao Huang; Yuhai Zhao; Yejiang Wang; Fazal Wahab; Yiming Sun; Chen Chen (Knowl. Based Syst., 2023)

Towards Robust Multi-Label Learning against Dirty Label Noise. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Meixia Wang; Min Huang 001; Xingwei Wang 001 (IJCAI, 2024)

Balancing Time and Energy Efficiency by Sizing Clusters: A New Data Collection Scheme in UAV-Aided Large-Scale Internet of Things. - Xingpo Ma; Miaomiao Huang; Wei Ni 001; Ming Yin; Jie Min; Abbas Jamalipour (IEEE Internet Things J., 2024)

Graph Contrastive Learning with Progressive Augmentations. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Xingwei Wang 001 (KDD (1), 2025)

Multi-graph multi-instance multi-label learning via disentangled information mining. - Miaomiao Huang; Yuhai Zhao; Yejiang Wang; Meixia Wang; Xingwei Wang 001 (Expert Syst. Appl., 2025)

Dual-granularity multi-instance multi-label learning with variational autoencoder. - Meixia Wang; Yuhai Zhao; Yejiang Wang; Miaomiao Huang; Xuze Liu; Xingwei Wang 001 (Knowl. Based Syst., 2025)