3 citations · 5 across the 3 of their papers we have counts for
4 papers
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network
Renjie Xu, Guangwei Wu, Weiping Wang +3
Graph Neural Networks (GNNs) have garnered intensive attention for Network Intrusion Detection System (NIDS) due to their suitability for representing the network traffic flows. Ho…
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Renjie Xu, Saiedeh Razavi, Rong Zheng
Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society. Governments and enterprises are deploying innumerable camer…
Selecting task with optimal transport self-supervised learning for few-shot classification
Renjie Xu, Xinghao Yang, Baodi Liu +2
Few-Shot classification aims at solving problems that only a few samples are available in the training process. Due to the lack of samples, researchers generally employ a set of tr…
DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers
Keivan Nalaie, Renjie Xu, Rong Zheng
In surveillance and search and rescue applications, it is important to perform multi-target tracking (MOT) in real-time on low-end devices. Today's MOT solutions employ deep neural…