Terminator: a data-level hybrid framework for intellectual property theft detection and prevention. - Meichen Liu; Meimei Li; Degang Sun; Zhixin Shi; Bin Lv; Pengcheng Liu 007 (CF, 2020)

DeepMIT: A Novel Malicious Insider Threat Detection Framework based on Recurrent Neural Network. - Degang Sun; Meichen Liu; Meimei Li; Zhixin Shi; Pengcheng Liu 007; Xu Wang (CSCWD, 2021)

Recognition of Overlapped Frequency Hopping Signals Based on Fully Convolutional Networks. - Pengcheng Liu 007; Zhen Han; Zhixin Shi; Meichen Liu (ICT, 2021)

FHSR: A Successful Application of Deep Learning Technology in Signal Retrieval. - Pengcheng Liu 007; Zhen Han; Meimei Li; Meichen Liu (ICTAI, 2021)

NBP-MS: Malware Signature Generation Based on Network Behavior Profiling. - Zhixin Shi; Xiangyu Wang; Pengcheng Liu 007 (ICPR, 2022)

PEPC: A Deep Parallel Convolutional Neural Network Model with Pre-trained Embeddings for DGA Detection. - Weiqing Huang; Yangyang Zong; Zhixin Shi; Leiqi Wang; Pengcheng Liu 007 (IJCNN, 2022)

Frequency Hopping Signal Recognition Based on Horizontal Spatial Attention. - Pengcheng Liu 007; Zhen Han; Zhixin Shi; Meimei Li; Meichen Liu (ISCC, 2022)