Malware Classification Using Attention-Based Transductive Learning Network. - Liting Deng; Hui Wen; Mingfeng Xin; Yue Sun; Limin Sun 001; Hongsong Zhu (SecureComm (2), 2020)

Firmware Re-hosting Through Static Binary-level Porting. - Mingfeng Xin; Hui Wen; Liting Deng; Hong Li 004; Qiang Li 007; Limin Sun 001 (CoRR, 2021)

Denoising Network of Dynamic Features for Enhanced Malware Classification. - Siyuan Li; Hui Wen; Liting Deng; Yu Zhou; Wenyuan Zhang; Zhi Li 018; Limin Sun 001 (IPCCC, 2023)

HackMentor: Fine-Tuning Large Language Models for Cybersecurity. - Jie Zhang 121; Hui Wen; Liting Deng; Mingfeng Xin; Zhi Li 018; Lun Li; Hongsong Zhu; Limin Sun 001 (TrustCom, 2023)

Enimanal: Augmented cross-architecture IoT malware analysis using graph neural networks. - Liting Deng; Hui Wen; Mingfeng Xin; Hong Li 004; Zhiwen Pan; Limin Sun 001 (Comput. Secur., 2023)

FirmPorter: Porting RTOSes at the Binary Level for Firmware Re-hosting. - Mingfeng Xin; Hui Wen; Liting Deng; Hong Li 004; Qiang Li 007; Limin Sun 001 (ICICS (2), 2024)

Surround Sensing Technique for Trucks Based on Multi-Features and Improved Yolov5 Algorithm. - Zixian Li; Yongtao Li; Hanyan Li; Liting Deng; Rungang Yan (Sensors, 2024)

Credibility of a Membership Function Related to a Linguistic Value to Improve Computing With Words. - Zheng Pei 001; Liting Deng; Yanyan Xu; Meng Li 011; Li Xu; Li Yan (IEEE Trans. Fuzzy Syst., 2024)

Few-Shot Malware Classification via Attention-Based Transductive Learning Network. - Liting Deng; Chengli Yu; Hui Wen; Mingfeng Xin; Yue Sun; Limin Sun 001; Hongsong Zhu (Mob. Networks Appl., 2024)