Jingxue Chen

According to our database, Jingxue Chen authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

Fully Anonymous Broadcast Signcryption for Secure Health Data Transmission in WBANs.

Yangfan Liang, Gao Liu, Xianchao Zhang, Yiming Chen, Jingxue Chen, Yuanjun Xia, Yi-Ning Liu

IEEE Trans. Mob. Comput., February, 2026

Efficient and Privacy-Enhanced Asynchronous Federated Learning for Multimedia Data in Edge-Based IoT.

Hu Xiong, Hang Yan, Mohammad S. Obaidat, Jingxue Chen, Mingsheng Cao, Sachin Kumar, Kadambri Agarwal, Saru Kumari

ACM Trans. Multim. Comput. Commun. Appl., January, 2026

Label-efficient sleep staging from multi-channel EEG with self-supervised contrastive learning and iterative self-distillation.

Jie Ouyang, Peng Xiao, Jingxue Chen, Fried-Michael Dahlweid, Yiming Chen, Yuanwang Wei, Zou Lai

Array, 2026

2025

A Weighted Privacy-Preserving Federated Learning for Proton Exchange Membrane Fuel Cell.

Jingxue Chen, Juhao Wang, Fazlullah Khan, Jingcheng Song, Chunhua Su

IEEE Netw. Lett., December, 2025

LLM-based program analysis for source codes, abstract syntax trees and webassembly instructions.

Liangjun Deng, Qi Zhong, Yao Qiu, Jingxue Chen, Hang Lei, Shunkun Yang, Liming Zhou, Hongyuan Cheng

Clust. Comput., November, 2025

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval.

Hao Lin, Peitong Xie, Jingxue Chen, Jie Lin, Qingkun Tang, Qianchun Lu

CoRR, September, 2025

MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning.

Kang Yang, Jingxue Chen, Qingkun Tang, Tianxiang Zhang, Qianchun Lu

CoRR, July, 2025

TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0.

Yuanjun Xia, Yi-Ning Liu, Jingxue Chen, Yangfan Liang, Fazlullah Khan, Ryan Alturki, Xiaopei Wang

IEEE Trans. Consumer Electron., May, 2025

Fused Fuzzy Deep Learning and Information Steganography for Privacy Preservation in Medical Consumer Electronics.

Jingxue Chen, Pengbiao Zhao, Erqiang Deng, Fazlullah Khan, Ryan Alturki, Bandar Alshawi, Hu Xiong

IEEE Trans. Consumer Electron., May, 2025

MoL for LLMs: Dual-Loss Optimization to Enhance Domain Expertise While Preserving General Capabilities.

Jingxue Chen, Qingkun Tang, Qianchun Lu, Siyuan Fang

CoRR, May, 2025

RLL-SWE: A Robust Linked List Steganography Without Embedding for intelligence networks in smart environments.

Pengbiao Zhao, Yuanjian Zhou, Salman Ijaz, Fazlullah Khan, Jingxue Chen, Bandar Alshawi, Zhen Qin, Md. Arafatur Rahman

J. Netw. Comput. Appl., 2025

A dual-branch self-supervised contrastive learning framework for emotion recognition based on time-frequency fusion.

Jie Ouyang, Yangfan Liang, Hong Sun, Xianchao Zhang, Jingxue Chen, Gao Liu, Zhiquan Liu, Yi-Ning Liu

Appl. Soft Comput., 2025

2024

When Federated Learning Meets Privacy-Preserving Computation.

Jingxue Chen, Hang Yan, Zhiyuan Liu, Min Zhang, Hu Xiong, Shui Yu

ACM Comput. Surv., December, 2024

Industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training.

Jingxue Chen, Zengxiang Wang, Gautam Srivastava, Turki Ali Alghamdi, Fazlullah Khan, Saru Kumari, Hu Xiong

J. Ind. Inf. Integr., 2024

UFL: Unlinkable Federated Learning Through Shuffle and Shamir's Secret Sharing.

Jingxue Chen, Zhiwei Si, Jingcheng Song, Manoranjan Mohanty, Weiqi Wang, Hu Xiong

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023

Construction of Lightweight Authenticated Joint Arithmetic Computation for 5G IoT Networks.

Chingfang Hsu, Lein Harn, Zhe Xia, Jianqun Cui, Jingxue Chen

Comput. J., January, 2023

2022

RPPTD: Robust Privacy-Preserving Truth Discovery Scheme.

Jingxue Chen, Yining Liu, Yong Xiang, Keshav Sood

IEEE Syst. J., 2022

A new secure arrangement for privacy-preserving data collection.

Jingcheng Song, Zhaoyang Han, Weizheng Wang, Jingxue Chen, Yining Liu

Comput. Stand. Interfaces, 2022

2021

Lightweight Privacy-Preserving Raw Data Publishing Scheme.

Jingxue Chen, Gao Liu, Yi-Ning Liu

IEEE Trans. Emerg. Top. Comput., 2021

2020

CovidNet: To Bring the Data Transparency in Era of COVID-19.

Tong Yang, Kai Shen, Sixuan He, Enyu Li, Peter Sun, Lin Zuo, Jiayue Hu, Yiwen Mo, Weiwei Zhang, Pingying Chen, Haonan Zhang, Jingxue Chen, Yu Guo

CoRR, 2020