百晓学者学者目录

丁峰

副教授、研究员,南昌大学

精选作品

期刊论文

2026

基于生成对抗网络的人脸图像反取证技术综述

丁峰,何琦,严之寒,朱小刚

《南昌大学学报(工科版)》

2026

Fairness-Aware Medical Image Analysis for Consumer Electronics Under Imbalanced Data

Yurong Yu, ChunNian Liu, Chinmay Chakraborty, Manisha Guduri, Feng Ding

IEEE Transactions on Consumer Electronics

2026

Learning from Prototypes: Contrastive Learning with Prior-Aware Multi-Label Chest X-ray Classification

Xuhao Zeng, Haoming Ye, Nanlan Yu, Feng Ding, Keping Yu, Haijun Li, Zhijiang Wan

IEEE Journal of Biomedical and Health Informatics

2026

ChatZoom: Unveiling Latent Generation Patterns for Forensic Analysis of AI-Generated Text

Feng Ding, Kailing Liu, Rundong Liu, Yulan Zhang, Bocheng Liu, Zhijiang Wan, Mengyao Xiao

IEEE Internet of Things Journal

2026

MTA-B0: A Lightweight Deepfake Image Detection Method Based on Multi-teacher–Assistant Collaborative Distillation

Feng Ding, Qi He, Mengyao Xiao

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

2026

DCHVF-GAN: Synthesizing Adversarial DeepFakes with High Visual Fidelity by Multimodality Fusion

Feng Ding, Xinan He, 况任生, Mengyao Xiao, Xiaogang Zhu, Guopu Zhu, Pradeep K. Atrey

ACM Transactions on Multimedia Computing Communications and Applications

2026

Diffface-Edit: a Diffusion-Based Facial Dataset for Forgery-Semantic Driven Deepfake Detection Analysis

Feng Ding, Wenhui Yi, Xinan He, Mengyao Xiao, Jianfeng Xu, Jianqiang Du

IEEE International Conference on Acoustics Speech and Signal Processing

2026

A Robust Image Steganalyzer With Multi-Feature Enhancement Against Adversarial Steganography

Xiaogang Zhu, Zongming Li, Kangkang Wei, Minglin Liu, Feng Ding, Weiqi Luo

IEEE Transactions on Circuits and Systems for Video Technology

2026

TraceMark-LDM: Authenticatable watermarking for latent diffusion models via binary-guided rearrangement

Wenhao Luo, Zhangyi Shen, Ye Yao, Feng Ding, Guopu Zhu, Weizhi Meng

Expert Systems with Applications

2026

ArtGate: Injecting Fake Artifact Features into CLIP for AI-Generated Image Detection

Zheming Fan, Guopu Zhu, Long Sun, Feng Ding, Hongli Zhang, Ligang Wu

IEEE Transactions on Multimedia

2025

Deep Global Distance Estimation Hashing for Image Retrieval

Mengfei Xu, Bowen Luo, Jianfeng Xu, Feng Ding

IEEE Transactions on Big Data

2025

Generating Higher-Quality Anti-Forensics DeepFakes with Adversarial Sharpening Mask

Bing Fan, Feng Ding, Guopu Zhu, Jiwu Huang, Sam Kwong, Pradeep K. Atrey, Siwei Lyu

ACM Transactions on Multimedia Computing Communications and Applications

2025

Enhancing AAV-Based Industrial Systems With Cognitive IoT: Detecting AI-Manipulated Visual Data Using Graph-Based Methods

Yurong Yu, Chunnian Liu, Zhenhai Tan, Amr Kamal Rabea Tolba, Osama Alfarraj, Feng Ding

IEEE Internet of Things Journal

2025

Vision-Text Interactive Hybrid Granularity Proxy Representation Learning for AI-Generated Image Detection

Feng Ding, Yue Zhang, Mengyao Xiao, Kangkang Wei, Zhangyi Shen, Hong Rao

IEEE International Workshop on Information Forensics and Security

2025

VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models

Xinan He, Yue Zhou, Bing Fan, Bin Li, Guopu Zhu, Feng Ding

neural information processing systems

2024

TMFD: Two-Stage Meta-learning Feature Disentanglement Framework for DeepFake Detection

Xiaogang Zhu, Bo Lin, Xinan He, Jianfeng Xu, Feng Ding

IEEE International Joint Conference on Biometrics (IJCB)

2024

CGD-Net: A Hybrid End-to-end Network with gating decoding for Liver Tumor Segmentation from CT Images

Xiaogang Zhu, Tao Liu, Ziqiu Liu, Ouyang Shaobo, Xin Wang, Shu Hu, Feng Ding

IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

2024

Preserving Fairness Generalization in Deepfake Detection

Lin Li, Xinan He, Yan Ju, Xin Wang, Feng Ding, Shu Hu

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

2024

Synthesizing Black-Box Anti-Forensics Deepfakes With High Visual Quality

Bing Fan, Shu Hu, Feng Ding

IEEE International Conference on Acoustics Speech and Signal Processing

2024

Disrupting Anti-Spoofing Systems by Images of Consistent Identity

Feng Ding, Zihan Jiang, Yue Zhou, Jianfeng Xu, Guopu Zhu

IEEE Signal Processing Letters

2024

A survey of Deepfake and related digital forensics

Feng Ding, 况任生, Yue Zhou, Long Sun, Xiaogang Zhu, Guopu Zhu

Journal of Image and Graphics

2023

C2BNet: A Deep Learning Architecture With Coupled Composite Backbone for Parasitic Egg Detection in Microscopic Images

Zhijiang Wan, Shichang Liu, Feng Ding, Manyu Li, Gautam Srivastava, Keping Yu

IEEE Journal of Biomedical and Health Informatics

2023

A Novel Fake News Detection Model for Context of Mixed Languages Through Multiscale Transformer

Zhiwei Guo, Qin Zhang, Feng Ding, Zhu Xiao-gang, Keping Yu

IEEE Transactions on Computational Social Systems

2023

Attacking Identity Semantics in DeepFakes via Deep Feature Fusion

Bing Fan, Zihan Jiang, Shu Hu, Feng Ding

IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR)

2023

A Low-Latency Edge Computation Offloading Scheme for Trust Evaluation in Finance-Level Artificial Intelligence of Things

Zhu Xiao-gang, Feicheng Ma, Feng Ding, Zhiwei Guo, Junchao Yang, Keping Yu

IEEE Internet of Things Journal

2023

Exposing Deepfakes using Dual-Channel Network with Multi-Axis Attention and Frequency Analysis

Yue Zhou, Bing Fan, Pradeep K. Atrey, Feng Ding

ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec)

2022

A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning

Zhangyi Shen, Feng Ding, Ye Yao, Arpit Bhardwaj, Zhiwei Guo, Keping Yu

IEEE Transactions on Computational Social Systems

2022

ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN

Feng Ding, Zhangyi Shen, Guopu Zhu, Sam Kwong, Yicong Zhou, Siwei Lyu

IEEE Transactions on Cybernetics

2022

Securing Facial Bioinformation by Eliminating Adversarial Perturbations

Feng Ding, Bing Fan, Zhangyi Shen, Keping Yu, Gautam Srivastava, Kapal Dev, Shaohua Wan

IEEE Transactions on Industrial Informatics

2022

DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems

Zhangyi Shen, Feng Ding, Alireza Jolfaei, Kusum Yadav, Sahil Vashisht, Keping Yu

IEEE Transactions on Network Science and Engineering

2022

Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks

Zhiwei Guo, Keping Yu, Alireza Jolfaei, Gang Li, Feng Ding, Amin Beheshti

IEEE Transactions on Intelligent Transportation Systems

2022

Contrast-Enhanced Color Visual Cryptography for (k, n) Threshold Schemes

Zuquan Liu, Guopu Zhu, Feng Ding, Xiangyang Luo, Sam Kwong, Peng Li

ACM Transactions on Multimedia Computing Communications and Applications

2021

Fuz-Spam: Label Smoothing-Based Fuzzy Detection of Spammers in Internet of Things

Zhiwei Guo, Keping Yu, Alireza Jolfaei, Feng Ding, Ning Zhang

IEEE Transactions on Fuzzy Systems

2021

Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training

Feng Ding, Keping Yu, Zonghua Gu, Xiangjun Li, Yun-Qing Shi

IEEE Transactions on Intelligent Transportation Systems

2021

Anti-Forensics for Face Swapping Videos via Adversarial Training

Feng Ding, Guopu Zhu, Yingcan LI -, Xinpeng Zhang, Pradeep K. Atrey, Siwei Lyu

IEEE Transactions on Multimedia

2021

A mixed data clustering algorithm with noise-filtered distribution centroid and iterative weight adjustment strategy

Xiangjun Li, Zijie Wu, Zhibin Zhao, Feng Ding, Daojing He

Information Sciences

2021

Feature pyramid network for diffusion-based image inpainting detection

Yulan Zhang, Feng Ding, Sam Kwong, Guopu Zhu

Information Sciences

2021

Hybrid prediction-based pixel-value-ordering method for reversible data hiding

Jie Chang, Feng Ding, Xiaolong Li, Guopu Zhu

Journal of Visual Communication and Image Representation

2021

Linguistic Steganalysis With Graph Neural Networks

Hanzhou Wu, Biao Yi, Feng Ding, Guorui Feng, Xinpeng Zhang

IEEE Signal Processing Letters

2020

Deep-Learning-Empowered Digital Forensics for Edge Consumer Electronics in 5G HetNets

Feng Ding, Guopu Zhu, Mamoun Alazab, Xiangjun Li, Keping Yu

IEEE Consumer Electronics Magazine

2019

高职院校信息安全一体化运营防护体系建设

丁峰,王宁,倪晓勤

《信息系统工程》

预印本

2026

Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models

Yue Zhou, Xinan He, Kaiqing Lin, Bing Fan, Feng Ding, Bin Li

arXiv (Cornell University)

2026

MPF-Net: Exposing High-Fidelity AI-Generated Video Forgeries via Hierarchical Manifold Deviation and Micro-Temporal Fluctuations

Xinan He, Kaiqing Lin, Yue Zhou, Jiaming Zhong, Wei Ye, Wenhui Yi, Bing Fan, Feng Ding, Haodong Li, Bo Cao, Bin Li

arXiv (Cornell University)

2026

ML-CLIPSim: Multi-Layer CLIP Similarity for Machine-Oriented Image Quality

Feng Ding, Haisheng Fu, Jie Liang, Qihan Xu, Siyu Zhu, Jingning Han

arXiv preprint

2026

ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression

Haisheng Fu, Runyu Yang, Feng Ding, Siyu Zhu, Jie Liang, Xiaoxiao Li, Zhenman Fang, Jingning Han

arXiv preprint

2026

SCALE: Semantic- and Confidence-Aware Conditional Variational Autoencoder for Zero-shot Skeleton-based Action Recognition

Soroush Oraki, Feng Ding, Jie Liang

arXiv preprint

2025

LSTC-MDA: A Unified Framework for Long-Short Term Temporal Convolution and Mixed Data Augmentation in Skeleton-Based Action Recognition

Feng Ding, Haisheng Fu, Soroush Oraki, Jie Liang

arXiv preprint

2025

Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection

Feng Ding, Wenhui Yi, Yunpeng Zhou, Xinan He, Hong Rao, Shu Hu

arXiv preprint

2025

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Yue Zhou, Xinan He, KaiQing Lin, Bin Fan, Feng Ding, Bin Li

arXiv preprint

2025

Customizable ROI-Based Deep Image Compression

Jian Jin, Fanxin Xia, Feng Ding, Xinfeng Zhang, Meiqin Liu, Yao Zhao, Weisi Lin, Lili Meng

arXiv preprint

2025

Brought a Gun to a Knife Fight: Modern VFM Baselines Outgun Specialized Detectors on In-the-Wild AI Image Detection

Yue Zhou, Xinan He, Kaiqing Lin, Bing Fan, Feng Ding, Jinhua Zeng, Bin Li

arXiv preprint

2024

Redundant Semantic Environment Filling via Misleading-Learning for Fair Deepfake Detection

Xinan He, Yue Zhou, Shu Hu, Bin Li, Jiwu Huang, Feng Ding

arXiv preprint

2024

Detecting Multimedia Generated by Large AI Models: A Survey

Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, Shu Hu

arXiv preprint

2024

Decoupling Forgery Semantics for Generalizable Deepfake Detection

Wei Ye, Xinan He, Feng Ding

arXiv preprint

2024

FairAdapter: Detecting AI-generated Images with Improved Fairness

Feng Ding, Jun Zhang, Xinan He, Jianfeng Xu

arXiv preprint

2023

JND-Based Perceptual Optimization For Learned Image Compression

Feng Ding, Jian Jin, Lili Meng, Weisi Lin

arXiv preprint

2023

GAN-based Image Compression with Improved RDO Process

Fanxin Xia, Jian Jin, Lili Meng, Feng Ding, Huaxiang Zhang

arXiv preprint

2021

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification

Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin

arXiv preprint

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