I am a postdoctoral researcher at the Department of Electrical Engineering, Uppsala University, working with Prof. Thiemo Voigt. Previously, I completed my PhD in January 2025 at the Department of Information Technology, Uppsala University, under the supervision of Prof. Edith C. H. Ngai.
My research interests lie in federated learning, AI safety, and trustworthy AI.
🔥 News
- 2025.01: 🎓📚 I successfully defended my doctoral thesis,
Robust Federated Learning: Defending Against Byzantine and Jailbreak Attacks. - 2024.01: 🎉🎉
Blades is accepted by IoTDI 2024. - 2023.12: 🏆🥉 My team ‘‘Uppsala Go’’ secured 3rd Place at the Huawei Sweden Hackathon 2023, attributed to our cost-effective solution in RAN Computing.
- 2023.01: 🎉🎉 One paper is accepted by IEEE TBD.
📝 Publications
Selected
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Shenghui Li, Edith C. H. Ngai, Fanghua Ye, Li Ju, Tianru Zhang, Thiemo Voigt
ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2024
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
Shenghui Li, Edith C. H. Ngai, Thiemo Voigt
IEEE Transactions on Big Data (IEEE TBD), 2023
Byzantine-Robust Aggregation in Federated Learning Empowered Industrial IoT
Shenghui Li, Edith C. H. Ngai, Thiemo Voigt
IEEE Transactions on Industrial Informatics (IEEE TII), 2023
Journal Articles
- Auto-weighted robust federated learning with corrupted data sources, Shenghui Li, Edith C. H. Ngai, Fanghua Ye, Thiemo Voigt, ACM Transactions on Intelligent Systems and Technology (TIST), 2022
- Makespan-minimized computation offloading for smart toys in edge-cloud computing, Shenghui Li, Wuhui Chen, Yufen Chen, Chuan Chen, Zibin Zheng, Electronic Commerce Research and Applications, 2019
- Energy-efficient data routing in cooperative UAV swarms for medical assistance after a disaster, Yuanhao Yang, Xiaoyu Qiu, Shenghui Li, Junbo Wang, Wuhui Chen, Patrick CK Hung, Zibin Zheng, Chaos: An Interdisciplinary Journal of Nonlinear Science (CHAOS), 2019
Conference Papers
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Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning, Shenghui Li, Edith C. H. Ngai, Fanghua Ye, Li Ju, Tianru Zhang, Thiemo Voigt, ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2024
- Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting, Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz, The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
- MetaASSIST: Robust Dialogue State Tracking with Meta Learning, Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, and Emine Yilmaz, The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
- Slot self-attentive dialogue state tracking, Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz, Proceedings of the Web Conference, 2021
- Smart contract-based hierarchical auction mechanism for edge computing in blockchain-empowered IoT, Hui Lin, Zetao Yang, Zicong Hong, Shenghui Li, Wuhui Chen, IEEE 21st International Symposium on” A World of Wireless, Mobile and Multimedia Networks” (WoWMoM), 2020
- Perishable Digital Goods Trading Mechanism for Blockchain-Based Vehicular Network, Rui Xi, Kang Liu, Shuo Liu, Wuhui Chen, Shenghui Li, IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2019
- Generative adversarial network based service recommendation in heterogeneous information networks, Fenfang Xie, Shenghui Li, Liang Chen, Yangjun Xu, Zibin Zheng, IEEE International Conference on Web Services (ICWS), 2019
- Adaptive affinity learning for accurate community detection, Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, Zibin Zheng, IEEE International Conference on Data Mining (ICDM), 2018
- Latency-aware task assignment and scheduling in collaborative cloud robotic systems, Shenghui Li, Zhiheng Zheng, Wuhui Chen, Zibin Zheng, Junbo Wang, IEEE 11th International Conference on Cloud Computing (CLOUD), 2018
📦 Projects
- Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
🏆 Honors & awards
- 2023.12, Hackathon - Huawei Sweden University Challenge 2023 (3rd place)
📖 Educations
- 2019.10 - 2025.01, Uppsala University, Uppsala, Sweden
- 2017.08 - 2019.06, Sun Yat-Sen University, Guangzhou, China
- 2013.09 - 2017.06, Xidian University, Xi’an, China
💻 Internships
- 2019.07 - 2019.10,
, Shanghai, China.