Hongwei Ding

According to our database, Hongwei Ding authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Balancing Act: MDGAN for Imbalanced Tabular Data Synthesis.

Hongwei Ding, Nana Huang, Qi Tao, Jiaqi Liang, Xiaohui Cui

IEEE Trans. Knowl. Data Eng., November, 2025

ELSP-MA: An Efficient Lightweight and Security-Enhanced Privacy-Preserving Message Authentication Scheme for VANETs.

Qi Tao, Xiaohui Cui, Hongwei Ding, Zhidong Shen, Yihong Li

IEEE Trans. Veh. Technol., October, 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., April, 2025

ASM-GAN: Arbitrary Object Shape Styles Manipulation in Synthesized Images for GANs.

Wei Li, Mingjun Zhang, Wenhao Li, Yinghui Wang, Xiaowu Zhang, Bin Chen, Hongwei Ding

IEEE Trans. Instrum. Meas., 2025

Improving imbalanced medical image classification through GAN-based data augmentation methods.

Hongwei Ding, Nana Huang, Yaoxin Wu, Xiaohui Cui

Pattern Recognit., 2025

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., February, 2024

B-DSPA: A Blockchain-Based Dynamically Scalable Privacy-Preserving Authentication Scheme in Vehicular Ad Hoc Networks.

Qi Tao, Hongwei Ding, Tian Jiang, Xiaohui Cui

IEEE Internet Things J., January, 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

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

Leveraging GANs data augmentation for imbalanced medical image classification.

Hongwei Ding, Nana Huang, Xiaohui Cui

Appl. Soft Comput., 2024

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., June, 2023

Fine-grained deepfake detection based on cross-modality attention.

Lei Zhao, Mingcheng Zhang, Hongwei Ding, Xiaohui Cui

Neural Comput. Appl., May, 2023

DCU-Net: a dual-channel U-shaped network for image splicing forgery detection.

Hongwei Ding, Leiyang Chen, Qi Tao, Zhongwang Fu, Liang Dong, Xiaohui Cui

Neural Comput. Appl., March, 2023

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

2022

Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection.

Hongwei Ding, Leiyang Chen, Liang Dong, Zhongwang Fu, Xiaohui Cui

Future Gener. Comput. Syst., 2022

2021

Cross-Department Secures Data Sharing in Food Industry via Blockchain-Cloud Fusion Scheme.

Qi Tao, Q. Chen, Hongwei Ding, Adnan Iftekhar, Xiaofang Huang, Xiaohui Cui

Secur. Commun. Networks, 2021

MFF-Net: Deepfake Detection Network Based on Multi-Feature Fusion.

Lei Zhao, Mingcheng Zhang, Hongwei Ding, Xiaohui Cui

Entropy, 2021

A Transformer-Based Hierarchical Variational AutoEncoder Combined Hidden Markov Model for Long Text Generation.

Kun Zhao, Hongwei Ding, Kai Ye, Xiaohui Cui

Entropy, 2021

A Latent Variable Model with Hierarchical Structure and GPT-2 for Long Text Generation.

Kun Zhao, Hongwei Ding, Kai Ye, Xiaohui Cui, Zhongwang Fu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021