3 citations · 4 across the 3 of their papers we have counts for
7 papers
Large Language Models powered Malicious Traffic Detection: Architecture, Opportunities and Case Study
Xinggong Zhang, Haotian Meng, Qingyang Li +2
Malicious traffic detection is a pivotal technology for network security to identify abnormal network traffic and detect network attacks. Large Language Models (LLMs) are trained o…
PromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming
Liming Liu, Jiangkai Wu, Haoyang Wang +3
Traditional video compression algorithms exhibit significant quality degradation at extremely low bitrates. Promptus emerges as a new paradigm for video streaming, substantially cu…
DeepRS: Deep-learning Based Network-Adaptive FEC for Real-Time Video Communications
Sheng Cheng, Han Hu, Xinggong Zhang +1
This work proposes an innovative approach to handle packet loss in real-time video streaming scenarios in a more sophisticated way -- Predicting packet loss pattern on time field b…
Pano: Optimizing 360° Video Streaming with a Better Understanding of Quality Perception
Yu Guan, Chengyuan Zheng, Zongming Guo +2
Streaming 360° videos requires more bandwidth than non-360° videos. This is because current solutions assume that users perceive the quality of 360° videos in the same way they per…
Statistical Learning Based Congestion Control for Real-time Video Communication
Tongyu Dai, Xinggong Zhang, Yihang Zhang +1
With the increasing demands on interactive video applications, how to adapt video bit rate to avoid network congestion has become critical, since congestion results in self-inflict…
Consistent User-Traffic Allocation and Load Balancing in Mobile Edge Caching
Lemei Huang, Sheng Cheng, Yu Guan +2
Cache-equipped Base-Stations (CBSs) is an attractive alternative to offload the rapidly growing backhaul traffic in a mobile network. New 5G technology and dense femtocell enable o…