A New Exploration of FB-Shrew Attack. - Meng Yue; Zhijun Wu 001; Minxiao Wang (IEEE Commun. Lett., 2016)

Identifying LDoS attack traffic based on wavelet energy spectrum and combined neural network. - Meng Yue; Liang Liu 012; Zhijun Wu 001; Minxiao Wang (Int. J. Commun. Syst., 2018)

SmartDetour: Defending Blackhole and Content Poisoning Attacks in IoT NDN Networks. - Ning Yang 009; Kang Chen; Minxiao Wang (IEEE Internet Things J., 2021)

Low-High Burst: A Double Potency Varying-RTT Based Full-Buffer Shrew Attack Model. - Meng Yue; Minxiao Wang; Zhijun Wu 001 (IEEE Trans. Dependable Secur. Comput., 2021)

High-Potency Models of LDoS Attack Against CUBIC + RED. - Meng Yue; Jing Li 103; Zhijun Wu 001; Minxiao Wang (IEEE Trans. Inf. Forensics Secur., 2021)

OTA-NN: Observational Therapy-Assistance Neural Network for Enhancing Autism Intervention Quality. - Minxiao Wang; Ning Yang 009 (CCNC, 2022)

Exploring the Impact of Early Detection on DL-Based NIDSs Models. - Minxiao Wang; Ning Yang 009; Ning Weng (UEMCON, 2023)

OBTAIN: Observational Therapy-Assistance Neural Network for Training State Recognition. - Minxiao Wang; Ning Yang 009 (IEEE Access, 2023)

On the Robustness of ML-Based Network Intrusion Detection Systems: An Adversarial and Distribution Shift Perspective. - Minxiao Wang; Ning Yang 009; Dulaj Gunasinghe; Ning Weng (Comput., 2023)

EmoAsst: emotion recognition assistant via text-guided transfer learning on pre-trained visual and acoustic models. - Minxiao Wang; Ning Yang (Frontiers Comput. Sci., 2024)

ProGen: Projection-Based Adversarial Attack Generation Against Network Intrusion Detection. - Minxiao Wang; Ning Yang 009; Nicolas J. Forcade-Perkins; Ning Weng (IEEE Trans. Inf. Forensics Secur., 2024)

K-GetNID: Knowledge-Guided Graphs for Early and Transferable Network Intrusion Detection. - Minxiao Wang; Ning Yang 009; Ning Weng (IEEE Trans. Inf. Forensics Secur., 2024)

Multi-Agent Deep-Q Network-Based Cache Replacement Policy for Content Delivery Networks. - Janith Kavindu Dassanayake; Minxiao Wang; Muhammad Zia Hameed; Ning Yang 009 (Future Internet, 2024)

GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals. - Zhaoliang Chen; Cheng Ding; Saurabh Kataria 001; Runze Yan; Minxiao Wang; Randall J. Lee; Xiao Hu 002 (CoRR, 2025)