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CURRICULUM VITAE

Qingkui Zeng

Lecturer · School of Artificial Intelligence
Tongling University

qingkui.zeng@tlu.edu.cnzenghuh1996@gmail.com

Research profile

Privacy protection and federated learning, with work on local differential privacy, poisoning defenses, efficient edge and IoT learning, and LLM content security.

Education

Ph.D. in Information and Communication Engineering

Nanjing University of Information Science and Technology

Sep 2021 – Jun 2025

Employment

Lecturer, Tongling University

School of Artificial Intelligence

Jul 2025 – Present

Publications

19 papers. Publication years follow the publisher’s final citation.

  1. Efficient privacy-preserving federated learning with local differential privacy

    Chunyong Yin, Qingkui Zeng

    Computer Networks, 285, Article 112351, 2026

    doi:10.1016/j.comnet.2026.112351
  2. A Game-Theoretic Framework for Personalized Privacy-Utility Tradeoffs in Federated Learning

    Haiqing Li, Chunyong Yin, Qingkui Zeng, Chenglong Qi

    Human-centric Computing and Information Sciences, 16, pp. 1–17, 2026

    doi:10.22967/HCIS.2026.16.041
  3. Enhancing Privacy and Accountability in Federated Learning for Smart IoT

    Zhuotao Lian, Qingkui Zeng, Chunhua Su

    Proceedings of the Fourth International Conference on Advances in Computing Research (ACR’26), pp. 441–443, 2026

    doi:10.1007/978-3-032-23883-2_36
  4. Layerwise Selective Quantization for Communication-Efficient Federated Learning in Consumer IoT Devices

    Zhuotao Lian, Qingkui Zeng, Chunhua Su

    2026 IEEE International Conference on Consumer Electronics (ICCE), pp. 1–5, 2026

    doi:10.1109/icce67443.2026.11449814
  5. POSTER: A Server-Side Proactive Defense Framework for Poison-Resilient Federated Learning

    Qingkui Zeng, Zhuotao Lian

    Provable and Practical Security (ProvSec 2025), pp. 498–502, 2026

    doi:10.1007/978-981-95-2961-2_29

    First online 2025; final citation 2026

  6. Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior

    Zhuotao Lian, Weiyu Wang, Qingkui Zeng, Toru Nakanishi, Teruaki Kitasuka, Chunhua Su

    Network and System Security (NSS 2025), pp. 146–160, 2026

    doi:10.1007/978-981-95-6419-4_9

    NSS 2025 proceedings; published February 2026

  7. FLNAP: Mitigating LDP Impact in Federated Learning with Noise-Aware Pre-Training

    Qingkui Zeng, Zhuotao Lian, Huijuan Niu, Jingcheng Song, Hong Zhao, Chunhua Su

    2025 17th International Conference on Advanced Infocomm Technology (ICAIT), pp. 128–134, 2025

    doi:10.1109/icait66450.2025.11353293
  8. Privacy-Enhanced Federated WiFi Sensing for Health Monitoring in Internet of Things

    Zhuotao Lian, Qingkui Zeng, Zhusen Liu, Haoda Wang, Chuan Ma, Weizhi Meng, Chunhua Su, Kouichi Sakurai

    IEEE Internet of Things Journal, 12(3), pp. 2994–3002, 2025

    doi:10.1109/jiot.2024.3476149

    Scholar record 2024; final citation 2025

  9. Defending Against Data Poisoning Attack in Federated Learning With Non-IID Data

    Chunyong Yin, Qingkui Zeng

    IEEE Transactions on Computational Social Systems, 11(2), pp. 2313–2325, 2024

    doi:10.1109/tcss.2023.3296885

    Scholar record 2023; final citation 2024

  10. Traffic Sign Recognition Using Optimized Federated Learning in Internet of Vehicles

    Zhuotao Lian, Qingkui Zeng, Weizheng Wang, Dequan Xu, Weizhi Meng, Chunhua Su

    IEEE Internet of Things Journal, 11(4), pp. 6722–6729, 2024

    doi:10.1109/jiot.2023.3312348

    Scholar record 2023; final citation 2024

  11. Blockchain-Based Two-Stage Federated Learning With Non-IID Data in IoMT System

    Zhuotao Lian, Qingkui Zeng, Weizheng Wang, Thippa Reddy Gadekallu, Chunhua Su

    IEEE Transactions on Computational Social Systems, 10(4), pp. 1701–1710, 2023

    doi:10.1109/tcss.2022.3216802

    Scholar record 2022; final citation 2023

  12. Hybrid Representation and Decision Fusion towards Visual-textual Sentiment

    Chunyong Yin, Sun Zhang, Qingkui Zeng

    ACM Transactions on Intelligent Systems and Technology, 14(3), pp. 1–17, 2023

    doi:10.1145/3583076
  13. DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems

    Zhuotao Lian, Qinglin Yang, Weizheng Wang, Qingkui Zeng, Mamoun Alazab, Hong Zhao, Chunhua Su

    IEEE Transactions on Network Science and Engineering, 9(5), pp. 3558–3569, 2022

    doi:10.1109/tnse.2022.3175945
  14. Hybrid Anomaly Detection via Multihead Dynamic Graph Attention Networks for Multivariate Time Series

    Liwen Zhou, Qingkui Zeng, Bo Li

    IEEE Access, 10, pp. 40967–40978, 2022

    doi:10.1109/access.2022.3167640
  15. Privacy-Enhanced Federated Generative Adversarial Networks for Internet of Things

    Qingkui Zeng, Liwen Zhou, Zhuotao Lian, Huakun Huang, Jung Yoon Kim

    The Computer Journal, 65(11), pp. 2860–2869, 2022

    doi:10.1093/comjnl/bxac060
  16. Privacy-preserving Blockchain-based Global Data Sharing for Federated Learning with Non-IID Data

    Zhuotao Lian, Qingkui Zeng, Chunhua Su

    2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW), pp. 193–198, 2022

    doi:10.1109/icdcsw56584.2022.00044
  17. WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy

    Zhuotao Lian, Qinglin Yang, Qingkui Zeng, Chunhua Su

    ICC 2022 - IEEE International Conference on Communications, pp. 2071–2076, 2022

    doi:10.1109/icc45855.2022.9838421
  18. Local Differential Privacy for Data Streams

    Xianjin Fang, Qingkui Zeng, Gaoming Yang

    Security and Privacy in Digital Economy, pp. 143–160, 2020

    doi:10.1007/978-981-15-9129-7_11
  19. Local differential privacy for human-centered computing

    Xianjin Fang, Qingkui Zeng, Gaoming Yang

    EURASIP Journal on Wireless Communications and Networking, 2020(1), Article 65, 2020

    doi:10.1186/s13638-020-01675-8

Personal interests

Electric guitar and heavy music; hiking; porcelain glaze exploration and kiln firing.

Updated 2026-10-07 · https://zenghuh.site