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; et al. (CoRR, 2020)

Lightweight Privacy-Preserving Raw Data Publishing Scheme. - Jingxue Chen; Gao Liu; Yi-Ning Liu 002 (IEEE Trans. Emerg. Top. Comput., 2021)

A new secure arrangement for privacy-preserving data collection. - Jingcheng Song; Zhaoyang Han; Weizheng Wang 001; Jingxue Chen; Yining Liu 002 (Comput. Stand. Interfaces, 2022)

RPPTD: Robust Privacy-Preserving Truth Discovery Scheme. - Jingxue Chen; Yining Liu 002; Yong Xiang 001; Keshav Sood (IEEE Syst. J., 2022)

Construction of Lightweight Authenticated Joint Arithmetic Computation for 5G IoT Networks. - Chingfang Hsu 001; Lein Harn; Zhe Xia; Jianqun Cui; Jingxue Chen (Comput. J., 2023)

UFL: Unlinkable Federated Learning Through Shuffle and Shamir's Secret Sharing. - Jingxue Chen; Zhiwei Si; Jingcheng Song; Manoranjan Mohanty; Weiqi Wang; Hu Xiong (ADMA (2), 2024)

Industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training. - Jingxue Chen; Zengxiang Wang; Gautam Srivastava 001; Turki Ali Alghamdi; Fazlullah Khan; Saru Kumari; Hu Xiong (J. Ind. Inf. Integr., 2024)

When Federated Learning Meets Privacy-Preserving Computation. - Jingxue Chen; Hang Yan 009; Zhiyuan Liu; Min Zhang; Hu Xiong; Shui Yu 001 (ACM Comput. Surv., 2024)

RLL-SWE: A Robust Linked List Steganography Without Embedding for intelligence networks in smart environments. - Pengbiao Zhao; Yuanjian Zhou; Salman Ijaz 002; Fazlullah Khan; Jingxue Chen; Bandar Alshawi; Zhen Qin 002; Md. Arafatur Rahman (J. Netw. Comput. Appl., 2025)

MoL for LLMs: Dual-Loss Optimization to Enhance Domain Expertise While Preserving General Capabilities. - Jingxue Chen; Qingkun Tang; Qianchun Lu; Siyuan Fang (CoRR, 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., 2025)

TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0. - Yuanjun Xia; Yi-Ning Liu 002; Jingxue Chen; Yangfan Liang; Fazlullah Khan; Ryan Alturki; Xiaopei Wang (IEEE Trans. Consumer Electron., 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, 2025)