| 2026 | ACISP | ST-Attention-XAI: Intrinsic Spatio-Temporal Explainability for IoT Intrusion Detection via Attention Analysis. | Nimesha Dilini, Nan Sun, Yuantian Miao, Nour Moustafa |
| 2025 | PAKDD | Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions. | Nan Sun, Yuantian Miao, Xiaoxing Mo, Jun Zhang |
| 2025 | RAID | BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning. | Bingguang Lu, Hongsheng Hu, Yuantian Miao, Shaleeza Sohail, Chaoxiang He, Shuo Wang, Xiao Chen |
| 2024 | ESEM | Optimizing the Utilization of Large Language Models via Schedule Optimization: An Exploratory Study. | Yueyue Liu, Hongyu Zhang, Zhiqiang Li, Yuantian Miao |
| 2024 | GECCO | Local Search-based Approach for Cost-effective Job Assignment on Large Language Models. | Yueyue Liu, Hongyu Zhang, Van-Hoang Le, Yuantian Miao, Zhiqiang Li |
| 2024 | ICWS | OptLLM: Optimal Assignment of Queries to Large Language Models. | Yueyue Liu, Hongyu Zhang, Yuantian Miao, Van-Hoang Le, Zhiqiang Li |
| 2022 | ESORICS | No-Label User-Level Membership Inference for ASR Model Auditing. | Yuantian Miao, Chao Chen, Lei Pan, Shigang Liu, Seyit Camtepe, Jun Zhang, Yang Xiang |
| 2017 | AusDM | Distributed Detection of Zero-Day Network Traffic Flows. | Yuantian Miao, Lei Pan, Sutharshan Rajasegarar, Jun Zhang, Christopher Leckie, Yang Xiang |