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ORCIDFeng Ding 0007
Person information
- affiliation: Nanchang University, School of Software, China
- affiliation (former): New Jersey Institute of Technology, Department of Electrical and Computer Engineering, Newark, NJ, USA
- affiliation (former): Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
Other persons with the same name
- Feng Ding — disambiguation page
- Feng Ding 0001
![[0000-0002-2721-2025]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2721-2025")
— Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry, Wuxi, China (and 3 more) - Feng Ding 0002 — Clemson University, Department of Chemical and Biomolecular Engineering, SC, USA (and 1 more)
- Feng Ding 0003 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia (and 1 more)
- Feng Ding 0004 — Dalian University of Technology, School of Software Technology, China
- Feng Ding 0005 — South Central University for Nationalities, College of Computer Science, Wuhan, China (and 1 more)
- Feng Ding 0006 — Nokia Research Center, China
- Feng Ding 0008 — Beijing Institute of Technology, School of Mechanical Engineering, China
- Feng Ding 0009 — Shenzhen Institute of Geriatrics, China
- Feng Ding 0010 — Xi'an Technological University, School of Mechanical and Electrical Engineering, China
- Feng Ding 0011 — Guangdong University of Technology, School of Electromechanical Engineering, China
- Feng Ding 0012 — Anhui Polytechnic University, School of Electrical Engineering, Wuhu, China
- Feng Ding 0013 — Chinese Academy of Sciences, Institute of Geology and Geophysics, Key Laboratory of Earth and Planetary Physics, Beijing, China (and 1 more)
- Feng Ding 0014 — National University of Singapore, Department of Computer Science, Singapore
- Feng Ding 0015 — Shanghai Jiao Tong University, School of Software, Shanghai, China
- Feng Ding 0016 — Dalian University of Technology, School of Software Technology, Dalian, China
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2020 – today
- 2024
[j22]Xiaogang Zhu, Feicheng Ma, Feng Ding, Zhiwei Guo, Junchao Yang, Keping Yu:
A Low-Latency Edge Computation Offloading Scheme for Trust Evaluation in Finance-Level Artificial Intelligence of Things. IEEE Internet Things J. 11(1): 114-124 (2024)- 2023
- [j21]Zhangyi Shen, Feng Ding, Ye Yao, Arpit Bhardwaj, Zhiwei Guo, Keping Yu:
A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning. IEEE Trans. Comput. Soc. Syst. 10(4): 1666-1678 (2023) - [j20]Feng Ding, Zhangyi Shen, Guopu Zhu, Sam Kwong, Yicong Zhou, Siwei Lyu:
ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN. IEEE Trans. Cybern. 53(11): 7162-7173 (2023) - [j19]Feng Ding, Bing Fan, Zhangyi Shen, Keping Yu, Gautam Srivastava, Kapal Dev, Shaohua Wan:
Securing Facial Bioinformation by Eliminating Adversarial Perturbations. IEEE Trans. Ind. Informatics 19(5): 6682-6691 (2023) - [j18]Zhiwei Guo, Keping Yu, Alireza Jolfaei, Gang Li, Feng Ding, Amin Beheshti:
Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks. IEEE Trans. Intell. Transp. Syst. 24(12): 15486-15498 (2023) - [j17]Zhangyi Shen, Feng Ding, Alireza Jolfaei, Kusum Yadav, Sahil Vashisht, Keping Yu:
DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems. IEEE Trans. Netw. Sci. Eng. 10(5): 2584-2596 (2023) - [c5]Yue Zhou, Bing Fan, Pradeep K. Atrey, Feng Ding:
Exposing Deepfakes using Dual-Channel Network with Multi-Axis Attention and Frequency Analysis. IH&MMSec 2023: 169-174 - [c4]Bing Fan, Zihan Jiang, Shu Hu, Feng Ding:
Attacking Identity Semantics in DeepFakes via Deep Feature Fusion. MIPR 2023: 114-119 - [i1]Bing Fan, Shu Hu, Feng Ding:
Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality. CoRR abs/2312.10713 (2023) - 2022
- [j16]Feng Ding, Guopu Zhu, Mamoun Alazab, Xiangjun Li, Keping Yu:
Deep-Learning-Empowered Digital Forensics for Edge Consumer Electronics in 5G HetNets. IEEE Consumer Electron. Mag. 11(2): 42-50 (2022) - [j15]Zhiwei Guo, Keping Yu, Alireza Jolfaei, Feng Ding, Ning Zhang:
Fuz-Spam: Label Smoothing-Based Fuzzy Detection of Spammers in Internet of Things. IEEE Trans. Fuzzy Syst. 30(11): 4543-4554 (2022) - [j14]Feng Ding, Keping Yu, Zonghua Gu, Xiangjun Li, Yunqing Shi:
Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training. IEEE Trans. Intell. Transp. Syst. 23(7): 9430-9441 (2022) - [j13]Feng Ding, Guopu Zhu, Yingcan Li, Xinpeng Zhang, Pradeep K. Atrey, Siwei Lyu:
Anti-Forensics for Face Swapping Videos via Adversarial Training. IEEE Trans. Multim. 24: 3429-3441 (2022) - [j12]Zuquan Liu, Guopu Zhu, Feng Ding, Xiangyang Luo, Sam Kwong, Peng Li:
Contrast-Enhanced Color Visual Cryptography for (k, n) Threshold Schemes. ACM Trans. Multim. Comput. Commun. Appl. 18(3s): 148:1-148:16 (2022) - 2021
- [j11]Yulan Zhang, Feng Ding, Sam Kwong, Guopu Zhu:
Feature pyramid network for diffusion-based image inpainting detection. Inf. Sci. 572: 29-42 (2021) - [j10]Xiangjun Li, Zijie Wu, Zhibin Zhao, Feng Ding, Daojing He:
A mixed data clustering algorithm with noise-filtered distribution centroid and iterative weight adjustment strategy. Inf. Sci. 577: 697-721 (2021) - [j9]Jie Chang, Feng Ding, Xiaolong Li, Guopu Zhu:
Hybrid prediction-based pixel-value-ordering method for reversible data hiding. J. Vis. Commun. Image Represent. 77: 103097 (2021) - [j8]Zuquan Liu, Guopu Zhu, Feng Ding, Sam Kwong:
Weighted visual secret sharing for general access structures based on random grids. Signal Process. Image Commun. 92: 116129 (2021) - [j7]Hanzhou Wu, Biao Yi, Feng Ding, Guorui Feng, Xinpeng Zhang:
Linguistic Steganalysis With Graph Neural Networks. IEEE Signal Process. Lett. 28: 558-562 (2021) - 2020
- [j6]Feng Ding, Yuxi Shi, Guopu Zhu, Yun-Qing Shi:
Real-time estimation for the parameters of Gaussian filtering via deep learning. J. Real Time Image Process. 17(1): 17-27 (2020) - [j5]Feng Ding, Hanzhou Wu, Guopu Zhu, Yun-Qing Shi:
METEOR: Measurable Energy Map Toward the Estimation of Resampling Rate via a Convolutional Neural Network. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4715-4727 (2020)
2010 – 2019
- 2019
- [j4]Feng Ding, Yuxi Shi, Guopu Zhu, Yun-Qing Shi:
Smoothing identification for digital image forensics. Multim. Tools Appl. 78(7): 8225-8245 (2019) - [c3]Zhangyi Shen, Feng Ding, Yunqing Shi:
Anti-forensics of Image Sharpening Using Generative Adversarial Network. IWDW 2019: 150-157 - 2018
- [j3]Feng Ding, Guopu Zhu, Weiqiang Dong, Yun-Qing Shi:
An efficient weak sharpening detection method for image forensics. J. Vis. Commun. Image Represent. 50: 93-99 (2018) - [j2]Jingyu Ye, Zhangyi Shen, Piyush Behrani, Feng Ding, Yun-Qing Shi:
Detecting USM image sharpening by using CNN. Signal Process. Image Commun. 68: 258-264 (2018) - 2015
- [j1]Feng Ding, Guopu Zhu, Jianquan Yang, Jin Xie, Yun-Qing Shi:
Edge Perpendicular Binary Coding for USM Sharpening Detection. IEEE Signal Process. Lett. 22(3): 327-331 (2015) - [c2]Feng Ding, Weiqiang Dong, Guopu Zhu, Yun-Qing Shi:
An Advanced Texture Analysis Method for Image Sharpening Detection. IWDW 2015: 72-82 - 2013
- [c1]Feng Ding, Guopu Zhu, Yun-Qing Shi:
A Novel Method for Detecting Image Sharpening Based on Local Binary Pattern. IWDW 2013: 180-191
Coauthor Index
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