Jun Feng

According to our database, Jun Feng authored at least 47 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A newly image encryption scheme based on 3-D coupled map lattice and Baker map.

Zhuo Liu, Yong Wang, Jinyuan Liu, Jun Feng, Leo Yu Zhang

Cybersecur., December, 2026

Based on Tensor Core Sparse Kernels Accelerating Deep Neural Networks.

Shijie Lv, Debin Liu, Laurence T. Yang, Xiaosong Peng, Ruonan Zhao, Zecan Yang, Jun Feng

IEEE Trans. Parallel Distributed Syst., February, 2026

Security-Enhanced Spatial Range Query Over Large-Scale Encrypted Mobile Cloud Datasets.

Yinbin Miao, Jiaqi Yu, Jiliang Li, Xinghua Li, Jun Feng, Zhiquan Liu, Robert H. Deng

IEEE Trans. Mob. Comput., January, 2026

Efficient and Unbounded Public-Key Encryption With Keyword Search Based on Arithmetic Span Programs in Cloud Storage.

Hu Xiong, Xiyue Zhang, Jun Feng, Kehan Gao, Keshav Sood

IEEE Trans. Dependable Secur. Comput., 2026

HeliFed: A dual-helix framework for noise-robust federated learning.

Fanfan Shen, Haoyu Dong, Chao Xu, Zhiquan Liu, Jun Feng, Yanxiang He

Inf. Sci., 2026

FedDPKD: Federated learning with dual-phase knowledge distillation for label distribution skew.

Fanfan Shen, Wenzhang Su, Chao Xu, Zhiquan Liu, Jun Feng, Yanxiang He

Inf. Process. Manag., 2026

Stabilizing Cross-Modal Bidirectional Attribution: Few-Shot Adversarial Prompt Tuning for Robust Vision-Language Models.

Jun Feng, Shuhong Wu, Hong Sun, Pengfei Zhang, Bocheng Ren, Shunli Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model.

Jun Feng, Hong Sun, Pengfei Zhang, Bocheng Ren, Shunli Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Zero-Shot Fault Diagnosis for Smart Process Manufacturing via Tensor Prototype Alignment.

Bocheng Ren, Laurence T. Yang, Xin Nie, Jun Feng, Xianjun Deng, Chenlu Zhu

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Zero-Shot Recognition for Healthcare Social Networks via Tensor-Based Vision-Semantic Manifold Alignment.

Bocheng Ren, Yuanyuan Yi, Laurence T. Yang, Xin Nie, Zecan Yang, Jun Feng

IEEE Trans. Comput. Soc. Syst., August, 2025

Panther: Practical Secure Two-Party Neural Network Inference.

Jun Feng, Yefan Wu, Hong Sun, Shunli Zhang, Debin Liu

IEEE Trans. Inf. Forensics Secur., 2025

SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning.

Jun Feng, Yuzhe Lai, Hong Sun, Bocheng Ren

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Tensor Recurrent Neural Network With Differential Privacy.

Jun Feng, Laurence T. Yang, Bocheng Ren, Deqing Zou, Mianxiong Dong, Shunli Zhang

IEEE Trans. Computers, March, 2024

TPE-BFL: Training Parameter Encryption scheme for Blockchain based Federated Learning system.

Fanfan Shen, Qiwei Liang, Lijie Hui, Bofan Yang, Chao Xu, Jun Feng, Yanxiang He

Comput. Networks, 2024

2023

Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks.

Bocheng Ren, Laurence T. Yang, Qingchen Zhang, Jun Feng, Xin Nie

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance.

Bocheng Ren, Laurence T. Yang, Qingchen Zhang, Jun Feng, Xin Nie

IEEE Trans. Netw. Sci. Eng., 2023

Scalable and Revocable Attribute-Based Data Sharing With Short Revocation List for IIoT.

Jun Feng, Hu Xiong, Jinhao Chen, Yang Xiang, Kuo-Hui Yeh

IEEE Internet Things J., 2023

2022

Privacy Preserving High-Order Bi-Lanczos in Cloud-Fog Computing for Industrial Applications.

Jun Feng, Laurence T. Yang, Ronghao Zhang, Weizhong Qiang, Jinjun Chen

IEEE Trans. Ind. Informatics, 2022

A Survey of Public-Key Encryption With Search Functionality for Cloud-Assisted IoT.

Hu Xiong, Tianang Yao, Hanxiao Wang, Jun Feng, Shui Yu

IEEE Internet Things J., 2022

Edge-Cloud-Aided Differentially Private Tucker Decomposition for Cyber-Physical-Social Systems.

Jun Feng, Laurence T. Yang, Xin Nie, Nicholaus J. Gati

IEEE Internet Things J., 2022

Secure and Authenticated Data Access and Sharing Model for Smart Wearable Systems.

Haleh Amintoosi, Mahdi Nikooghadam, Saru Kumari, Jun Feng, Hu Xiong, Sachin Kumar, Joel J. P. C. Rodrigues

IEEE Internet Things J., 2022

Ordinal Data Stream Collection with Condensed Local Differential Privacy.

Yuanyuan He, Fayao Wang, Xianjun Deng, Jianbing Ni, Jun Feng, Shenghao Liu

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

Secure Outsourced Principal Eigentensor Computation for Cyber-Physical-Social Systems.

Jun Feng, Laurence T. Yang, Qing Zhu, Yang Xiang, Jinjun Chen, Zheng Yan

IEEE Trans. Sustain. Comput., 2021

Blockchain-enabled Tensor-based Conditional Deep Convolutional GAN for Cyber-physical-Social Systems.

Jun Feng, Laurence T. Yang, Yuxiang Zhu, Nicholaus J. Gati, Yijun Mo

ACM Trans. Internet Techn., 2021

Privacy-Preserving Tucker Train Decomposition Over Blockchain-Based Encrypted Industrial IoT Data.

Jun Feng, Laurence Tianruo Yang, Ronghao Zhang, Benard S. Gavuna

IEEE Trans. Ind. Informatics, 2021

Differentially Private Tensor Deep Computation for Cyber-Physical-Social Systems.

Nicholaus J. Gati, Laurence T. Yang, Jun Feng, Shunli Zhang, Zhian Ren

IEEE Trans. Comput. Soc. Syst., 2021

An Improved Secure High-Order-Lanczos Based Orthogonal Tensor SVD for Outsourced Cyber-Physical-Social Big Data Reduction.

Jun Feng, Laurence T. Yang, Guohui Dai, Jinjun Chen, Zheng Yan

IEEE Trans. Big Data, 2021

A tensor-network-based big data fusion framework for Cyber-Physical-Social Systems (CPSS).

Shunli Zhang, Laurence T. Yang, Jun Feng, Wei Wei, Zongmin Cui, Xia Xie, Peng Yan

Inf. Fusion, 2021

Differentially private data fusion and deep learning Framework for Cyber-Physical-Social Systems: State-of-the-art and perspectives.

Nicholaus J. Gati, Laurence T. Yang, Jun Feng, Xin Nie, Zhian Ren, Samwel K. Tarus

Inf. Fusion, 2021

Message from the DependSys 2021 Program Chairs.

Bin Song, Mamoun Alazab, Jun Feng

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

A Tensor-Based Optimization Model for Secure Sustainable Cyber-Physical-Social Big Data Computations.

Jun Feng, Laurence T. Yang, Ronghao Zhang, Shunli Zhang, Guohui Dai, Weizhong Qiang

IEEE Trans. Sustain. Comput., 2020

Differentially Private Tensor Train Deep Computation for Internet of Multimedia Things.

Nicholaus J. Gati, Laurence T. Yang, Jun Feng, Yijun Mo, Mamoun Alazab

ACM Trans. Multim. Comput. Commun. Appl., 2020

Privacy-Preserving Tensor Decomposition Over Encrypted Data in a Federated Cloud Environment.

Jun Feng, Laurence T. Yang, Qing Zhu, Kim-Kwang Raymond Choo

IEEE Trans. Dependable Secur. Comput., 2020

A genetic algorithm for constructing bijective substitution boxes with high nonlinearity.

Yong Wang, Zhiqiang Zhang, Leo Yu Zhang, Jun Feng, Jerry Gao, Peng Lei

Inf. Sci., 2020

Privacy-preserving computation in cyber-physical-social systems: A survey of the state-of-the-art and perspectives.

Jun Feng, Laurence T. Yang, Nicholaus J. Gati, Xia Xie, Benard S. Gavuna

Inf. Sci., 2020

Differentially Private Tensor Train Decomposition in Edge-Cloud Computing for SDN-Based Internet of Things.

Xin Nie, Laurence T. Yang, Jun Feng, Shunli Zhang

IEEE Internet Things J., 2020

2019

A Tensor Computation and Optimization Model for Cyber-Physical-Social Big Data.

Xiaokang Wang, Laurence T. Yang, Xingyu Chen, Jian-Jun Han, Jun Feng

IEEE Trans. Sustain. Comput., 2019

Practical Privacy-preserving High-order Bi-Lanczos in Integrated Edge-Fog-Cloud Architecture for Cyber-Physical-Social Systems.

Jun Feng, Laurence T. Yang, Ronghao Zhang

ACM Trans. Internet Techn., 2019

A Secure High-Order Lanczos-Based Orthogonal Tensor SVD for Big Data Reduction in Cloud Environment.

Jun Feng, Laurence T. Yang, Guohui Dai, Wei Wang, Deqing Zou

IEEE Trans. Big Data, 2019

A Tensor-Based Forensics Framework for Virtualized Network Functions in the Internet of Things: Utilizing Tensor Algebra in Facilitating More Efficient Network Forensic Investigations.

Shunli Zhang, Laurence T. Yang, Liwei Kuang, Jun Feng, Jinjun Chen, Vincenzo Piuri

IEEE Consumer Electron. Mag., 2019

2018

Privacy-Preserving Tensor Analysis and Processing Models for Wireless Internet of Things.

Jun Feng, Laurence T. Yang, Xingang Liu, Ronghao Zhang

IEEE Wirel. Commun., 2018

Secure Tensor Decomposition Using Fully Homomorphic Encryption Scheme.

Liwei Kuang, Laurence T. Yang, Jun Feng, Mianxiong Dong

IEEE Trans. Cloud Comput., 2018

Tensor-based Big Biometric Data Reduction in Cloud.

Jun Feng, Laurence T. Yang, Ronghao Zhang

IEEE Cloud Comput., 2018

2017

Parallel GNFS algorithm integrated with parallel block Wiedemann algorithm for RSA security in cloud computing.

Laurence T. Yang, Gaoyuan Huang, Jun Feng, Li Xu

Inf. Sci., 2017

An improved parallel block Lanczos algorithm over GF(2) for integer factorization.

Laurence T. Yang, Ying Huang, Jun Feng, Qiwen Pan, Chunsheng Zhu

Inf. Sci., 2017

2016

A Tensor-Based Big Service Framework for Enhanced Living Environments.

Xiaokang Wang, Laurence T. Yang, Jun Feng, Xingyu Chen, M. Jamal Deen

IEEE Cloud Comput., 2016

2013

Efficiently computable endomorphism for genus 3 hyperelliptic curve cryptosystems.

Jun Feng, Xueming Wang, Hong Sun

Inf. Process. Lett., 2013