Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps

no code implementations • 16 Aug 2022 • Kun Qiu, Harry Chang, Ying Wang, Xiahui Yu, Wenjun Zhu, Yingqi Liu, Jianwei Ma, Weigang Li, Xiaobo Liu, Shuo Dai

Sophisticated traffic analytics, such as the encrypted traffic analytics and unknown malware detection, emphasizes the need for advanced methods to analyze the network traffic.

Malware Detection Traffic Classification

Use of Metamorphic Relations as Knowledge Carriers to Train Deep Neural Networks

no code implementations • 10 Apr 2021 • Tsong Yueh Chen, Pak-Lok Poon, Kun Qiu, Zheng Zheng, Jinyi Zhou

Based on the concept of metamorphic testing and MRs (which play the role of a test oracle in software testing), we make use of the notion of metamorphic group of inputs as concrete instances of MRs (which are abstractions of knowledge) to train a DNN in a systematic and effective manner.

Coherent optical communications using coherence-cloned Kerr soliton microcombs

no code implementations • 1 Jan 2021 • Yong Geng, Heng Zhou, Wenwen Cui, Xinjie Han, Qiang Zhang, Boyuan Liu, Guangwei Deng, Qiang Zhou, Kun Qiu

Dissipative Kerr soliton microcomb has been recognized as a promising on-chip multi-wavelength laser source for fiber optical communications, as its comb lines possess frequency and phase stability far beyond independent lasers.