Beibei Feng

According to our database, Beibei Feng authored at least 10 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Coordinate-Independent Ultrasound Assessment for Complex Tissue Kinematics: A Preliminary Study on Median Nerve Mobility.

Yuchen Tang, He Li, Xue Deng, Xin Zhang, Beibei Feng, Wing-Yuk Ip, Wei-Ning Lee

IEEE Trans. Biomed. Eng., February, 2026

2025

Enhanced Encrypted Traffic Classification Through Packet-Flow Dual Views.

Beibei Feng, Qi Wang, Yijing Wang, Feifan Li, Xiaolin Xu, Tianning Zang, Jingrun Ma

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

Towards Open-World DoH Tunnel Detection: A Dual-View Contrastive Learning Framework with Adaptive Feature Boundaries.

Beibei Feng, Qi Wang, Zhefeng Nan, Jiang Xie, Tianning Zang, Xiaolin Xu, Jingrun Ma

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

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., January, 2024

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

Proceedings of the 23rd IEEE International Conference on Trust, 2024

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

Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training.

Xiang Li, Beibei Feng, Tianning Zang, Xiaolin Xu, Shuyuan Zhao, Jingrun Ma

Proceedings of the IEEE Symposium on Computers and Communications, 2023

A Semi-supervised Learning Method for Malware Traffic Classification with Raw Bitmaps.

Jingrun Ma, Xiaolin Xu, Tianning Zang, Xi Wang, Beibei Feng, Xiang Li

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

2022

An Adaptive Ensembled Neural Network-Based Approach to IoT Device Identification.

Jingrun Ma, Yafei Sang, Yongzheng Zhang, Xiaolin Xu, Beibei Feng, Yuwei Zeng

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2016

Image enhancement under low luminance with strong light weakening.

Beibei Feng, Yibin Tang, Lin Zhou, Ying Chen, Jinxiu Zhu

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016