LSTM Based Multiple Beamforming for 5G HAPS IoT Networks. - Ke Xiao; Chaofei Li; Jianyu Zhao (IWCMC, 2019)

A Location Predictive Model Based on 2D Angle Data for HAPS Using LSTM. - Ke Xiao; Chaofei Li; Yunhua He; Chao Wang 061; Wei Cheng 001 (WASA, 2019)

Abnormal Behavior Detection Scheme of UAV Using Recurrent Neural Networks. - Ke Xiao; Jianyu Zhao; Yunhua He; Chaofei Li; Wei Cheng (IEEE Access, 2019)

ATG spectrum analysis and interference mitigation for intelligent UAV IoT. - Lei Liu; Chaofei Li; Yikun Zhao (EURASIP J. Wirel. Commun. Netw., 2022)

Improving Adversarial Robustness via Channel and Depth Compatibility. - Ruicheng Niu; Ziyuan Zhu; Tao Leng; Chaofei Li; Yuxin Liu; Dan Meng 002 (ADMA (5), 2023)

Enhancing Adversarial Robustness for Deep Metric Learning through Adaptive Adversarial Strategy. - Chaofei Li; Ziyuan Zhu; Ruicheng Niu; Tao Leng; Dan Meng 002 (CSCWD, 2023)

SeAuNet: Semi-Autonomous Encrypted Traffic Classification and Self-labeling. - Chaofei Li; Ziyuan Zhu; Ruicheng Niu; Tao Leng; Dan Meng 002 (CSCWD, 2023)

Search Robust and Adaptable Architecture. - Ruicheng Niu; Ziyuan Zhu; Chaofei Li; Dan Meng 002 (ICASSP, 2024)

Enhancing Adversarial Robustness for Deep Metric Learning via Attention-Aware Knowledge Guidance. - Chaofei Li; Ziyuan Zhu; Yuedong Pan; Ruicheng Niu; Yuting Zhao (ICIC (12), 2024)

Private Edge Computing Resource Allocation and Communication Optimization Based on Federated Learning. - Ke Xiao; Jiaxin Wang; Chaofei Li; Zhenwei Yu 007; Feifei Gao (IFIP Networking, 2024)

Enhancing adversarial robustness for deep metric learning via neural discrete adversarial training. - Chaofei Li; Ziyuan Zhu; Ruicheng Niu; Yuting Zhao (Comput. Secur., 2024)

TaintAttack: rapid attack investigation based on information flow tracking. - Yuedong Pan; Lixin Zhao; Tao Leng; Chaofei Li; Aimin Yu; Lijun Cai (Comput. J., 2025)