Image enhancement under low luminance with strong light weakening. - Beibei Feng; Yibin Tang; Lin Zhou 001; Ying Chen 013; Jinxiu Zhu (WCSP, 2016)

An Adaptive Ensembled Neural Network-Based Approach to IoT Device Identification. - Jingrun Ma; Yafei Sang; Yongzheng Zhang 002; Xiaolin Xu; Beibei Feng; Yuwei Zeng (CollaborateCom (2), 2022)

A Semi-supervised Learning Method for Malware Traffic Classification with Raw Bitmaps. - Jingrun Ma; Xiaolin Xu; Tianning Zang; Xi Wang; Beibei Feng; Xiang Li (CollaborateCom (2), 2023)

Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training. - Xiang Li; Beibei Feng; Tianning Zang; Xiaolin Xu; Shuyuan Zhao; Jingrun Ma (ISCC, 2023)

Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training. - Xiang Li; Beibei Feng; Tianning Zang; Shuyuan Zhao; Jingrun Ma (CoRR, 2023)

From Scarcity to Clarity: Few-Shot Learning for DoH Tunnel Detection Through Prototypical Network. - Beibei Feng; Qi Wang; Xiaolin Xu; Yijing Wang; Tianning Zang; Jingrun Ma (TrustCom, 2024)

Data-driven analysis of digital entrepreneurship in medical supply resilience confronting the COVID-19 epidemic. - Baozhuang Niu; Lingfeng Wang; Xinhu Yu; Beibei Feng (Inf. Process. Manag., 2024)

Towards Open-World DoH Tunnel Detection: A Dual-View Contrastive Learning Framework with Adaptive Feature Boundaries. - Beibei Feng; Qi Wang; Zhefeng Nan; Jiang Xie 004; Tianning Zang; Xiaolin Xu; Jingrun Ma (CSCWD, 2025)

Enhanced Encrypted Traffic Classification Through Packet-Flow Dual Views. - Beibei Feng; Qi Wang; Yijing Wang; Feifan Li; Xiaolin Xu; Tianning Zang; Jingrun Ma (WCNC, 2025)