activity
20172020
most citedTS-RNN: Text Steganalysis Based on Recurrent Neural Networks

118 citations · 284 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2020★ 8 cited

Master-Auxiliary: an efficient aggregation strategy for video anomaly detection

Zhiguo Wang, Zhongliang Yang, Yujin Zhang

The aim of surveillance video anomaly detection is to detect events that rarely or never happened in a certain scene. Generally, different detectors can detect different anomalies.…

cs.CR2019★ 4 cited

Behavioral Security in Covert Communication Systems

Zhongliang Yang, Yuting Hu, Yongfeng Huang +1

The purpose of the covert communication system is to implement the communication process without causing third party perception. In order to achieve complete covert communication,…

cs.CV2019

A Promotion Method for Generation Error Based Video Anomaly Detection

Zhiguo Wang, Zhongliang Yang, Yu-Jin Zhang

Surveillance video anomaly detection is to detect events that rarely or never happened in a certain scene. The generation error (GE)-based methods exhibit excellent performance on…

cs.MM2019★ 118 cited

TS-RNN: Text Steganalysis Based on Recurrent Neural Networks

Zhongliang Yang, Ke Wang, Jian Li +2

With the rapid development of natural language processing technologies, more and more text steganographic methods based on automatic text generation technology have appeared in rec…

cs.MM2019★ 5 cited

Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows

Zhongliang Yang, Hao Yang, Yuting Hu +2

Previous VoIP steganalysis methods face great challenges in detecting speech signals at low embedding rates, and they are also generally difficult to perform real-time detection, m…

cs.CR2018★ 30 cited

Automatically Generate Steganographic Text Based on Markov Model and Huffman Coding

Zhongliang Yang, Shuyu Jin, Yongfeng Huang +2

Steganography, as one of the three basic information security systems, has long played an important role in safeguarding the privacy and confidentiality of data in cyberspace. The…

cs.CR2018★ 19 cited

TS-CNN: Text Steganalysis from Semantic Space Based on Convolutional Neural Network

Zhongliang Yang, Nan Wei, Junyi Sheng +2

Steganalysis has been an important research topic in cybersecurity that helps to identify covert attacks in public network. With the rapid development of natural language processin…

cs.CR2018★ 13 cited

AAG-Stega: Automatic Audio Generation-based Steganography

Zhongliang Yang, Xingjian Du, Yilin Tan +2

Steganography, as one of the three basic information security systems, has long played an important role in safeguarding the privacy and confidentiality of data in cyberspace. Audi…

cs.CL2018★ 82 cited

Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network

Zhongliang Yang, Yongfeng Huang, Yiran Jiang +3

Automatically extracting useful information from electronic medical records along with conducting disease diagnoses is a promising task for both clinical decision support(CDS) and…

cs.CV2017★ 5 cited

Image Captioning with Object Detection and Localization

Zhongliang Yang, Yu-Jin Zhang, Sadaqat ur Rehman +1

Automatically generating a natural language description of an image is a task close to the heart of image understanding. In this paper, we present a multi-model neural network meth…