CURRICULUM VITAE
Qingkui Zeng
Lecturer · School of Artificial Intelligence
Tongling University
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.
Efficient privacy-preserving federated learning with local differential privacy
Chunyong Yin, Qingkui Zeng
Computer Networks, 285, Article 112351, 2026
doi:10.1016/j.comnet.2026.112351A 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.2026.16.041Enhancing 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_36Layerwise 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/icce67443.2026.11449814POSTER: 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_29First online 2025; final citation 2026
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_9NSS 2025 proceedings; published February 2026
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/icait66450.2025.11353293Privacy-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.2024.3476149Scholar record 2024; final citation 2025
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.2023.3296885Scholar record 2023; final citation 2024
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.2023.3312348Scholar record 2023; final citation 2024
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.2022.3216802Scholar record 2022; final citation 2023
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:10.1145/3583076DEEP-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.2022.3175945Hybrid 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.2022.3167640Privacy-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/bxac060Privacy-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/icdcsw56584.2022.00044WebFed: 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/icc45855.2022.9838421Local 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_11Local 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