Secure and Efficient Personal Health Record Scheme Using Attribute-Based Encryption. - Kai Fan 001; Nana Huang; Yue Wang 043; Hui Li 006; Yintang Yang (CSCloud, 2015)

A user-based approach to Spanish-speaking L2 acquisition of Chinese applicative operation. - Nana Huang (NetWordS, 2015)

Privacy protection based access control scheme in cloud-based services. - Kai Fan 001; Qiong Tian; Nana Huang; Yue Wang 043; Hui Li 006; Yintang Yang (ICCC, 2016)

Multi-scale Interest Dynamic Hierarchical Transformer for sequential recommendation. - Nana Huang; Ruimin Hu; Mingfu Xiong; Xiaoran Peng; Hongwei Ding; Xiaodong Jia 005; Lingkun Zhang (Neural Comput. Appl., 2022)

RGAN-EL: A GAN and ensemble learning-based hybrid approach for imbalanced data classification. - Hongwei Ding; Yu Sun; Zhenyu Wang; Nana Huang; Zhidong Shen; Xiaohui Cui (Inf. Process. Manag., 2023)

Cross-platform sequential recommendation with sharing item-level relevance data. - Nana Huang; Ruimin Hu; Xiaochen Wang 001; Hongwei Ding; Xinjian Huang (Inf. Sci., 2023)

RVGAN-TL: A generative adversarial networks and transfer learning-based hybrid approach for imbalanced data classification. - Hongwei Ding; Yu Sun; Nana Huang; Zhidong Shen; Zhenyu Wang; Adnan Iftekhar; Xiaohui Cui (Inf. Sci., 2023)

Multi-scale modeling temporal hierarchical attention for sequential recommendation. - Nana Huang; Ruimin Hu; Xiaochen Wang 001; Hongwei Ding (Inf. Sci., 2023)

Heterogeneity, marginality, stagementation and driving forces in the Otindag Sandy Land and its ecotones based on GIMMS NDVI3g v1.0. - Yingying Ma; Nana Huang; Chao Ma (Ecol. Informatics, 2023)

DM-GAN: A Data Augmentation-Based Approach for Imbalanced Medical Image Classification. - Hongwei Ding; Kuan Zhang; Nana Huang (BIBM, 2024)

Leveraging GANs data augmentation for imbalanced medical image classification. - Hongwei Ding; Nana Huang; Xiaohui Cui (Appl. Soft Comput., 2024)

TMG-GAN: Generative Adversarial Networks-Based Imbalanced Learning for Network Intrusion Detection. - Hongwei Ding; Yu Sun; Nana Huang; Zhidong Shen; Xiaohui Cui (IEEE Trans. Inf. Forensics Secur., 2024)

LEGAN: Addressing Intraclass Imbalance in GAN-Based Medical Image Augmentation for Improved Imbalanced Data Classification. - Hongwei Ding; Nana Huang; Yaoxin Wu; Xiaohui Cui (IEEE Trans. Instrum. Meas., 2024)

VGAN-BL: imbalanced data classification based on generative adversarial network and biased loss. - Hongwei Ding; Yu Sun; Nana Huang; Xiaohui Cui (Neural Comput. Appl., 2024)

BDGAN: Boundary and Diversity-aware Generative Adversarial Network for Imbalanced Medical Image Augmentation. - Hongwei Ding; Qi Tao; Nana Huang (ICASSP, 2025)

Improving imbalanced medical image classification through GAN-based data augmentation methods. - Hongwei Ding; Nana Huang; Yaoxin Wu; Xiaohui Cui (Pattern Recognit., 2025)

Multi-time-scale with clockwork recurrent neural network modeling for sequential recommendation. - Nana Huang; Hongwei Ding; Ruimin Hu; Pengfei Jiao; Zhidong Zhao; Bin Yang; Qi Zheng (J. Supercomput., 2025)

Infrared Small Target Detection Improvement via Hybrid Data Augmentation Using Diffusion Models and GAN. - Hongwei Ding; Nana Huang; Yaoxin Wu; Xiaohui Cui (IEEE Trans. Aerosp. Electron. Syst., 2025)

Graph Contrastive Learning for Multi-Behavior Recommender System. - Zhidong Zhao; Jianing Liu; Nana Huang; Pengfei Jiao; Huaming Wu (IEEE Trans. Consumer Electron., 2025)