118 citations · 358 across the 23 of their papers we have counts for
23 papers
ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue
Haoqin Tu, Yitong Li, Fei Mi +1
Incorporating visual knowledge into text-only dialogue systems has become a potential direction to imitate the way humans think, imagine, and communicate. However, existing multimo…
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation
Haoqin Tu, Zhongliang Yang, Jinshuai Yang +2
Controllable text generation has taken a gigantic step forward these days. Yet existing methods are either constrained in a one-off pattern or not efficient enough for receiving mu…
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Tao Qi, Fangzhao Wu, Chuhan Wu +5
Vertical federated learning (VFL) is a privacy-preserving machine learning paradigm that can learn models from features distributed on different platforms in a privacy-preserving w…
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
Haoqin Tu, Zhongliang Yang, Jinshuai Yang +1
Variational Auto-Encoder (VAE) has become the de-facto learning paradigm in achieving representation learning and generation for natural language at the same time. Nevertheless, ex…
A New Sentence Extraction Strategy for Unsupervised Extractive Summarization Methods
Dehao Tao, Yingzhu Xiong, Zhongliang Yang +1
In recent years, text summarization methods have attracted much attention again thanks to the researches on neural network models. Most of the current text summarization methods ba…
Graph-Stega: Semantic Controllable Steganographic Text Generation Guided by Knowledge Graph
Zhongliang Yang, Baitao Gong, Yamin Li +3
Most of the existing text generative steganographic methods are based on coding the conditional probability distribution of each word during the generation process, and then select…
Text Steganalysis with Attentional LSTM-CNN
YongJian Bao, Hao Yang, Zhongliang Yang +2
With the rapid development of Natural Language Processing (NLP) technologies, text steganography methods have been significantly innovated recently, which poses a great threat to c…
IStego100K: Large-scale Image Steganalysis Dataset
Zhongliang Yang, Ke Wang, Sai Ma +3
In order to promote the rapid development of image steganalysis technology, in this paper, we construct and release a multivariable large-scale image steganalysis dataset called IS…
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,…
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…
FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis of VoIP Stream via Multi-head Attention
Hao Yang, ZhongLiang Yang, YongJian Bao +2
Extracting correlation features between codes-words with high computational efficiency is crucial to steganalysis of Voice over IP (VoIP) streams. In this paper, we utilized attent…
Fast Steganalysis Method for VoIP Streams
Hao Yang, ZhongLiang Yang, YongJian Bao +1
In this letter, we present a novel and extremely fast steganalysis method of Voice over IP (VoIP) streams, driven by the need for a quick and accurate detection of possible stegano…
Legends of Nature and Editors-in-chief
Zhiwen Hu, Chuhan Wu, Zhongliang Yang +1
This year marks the 150th celebration of Nature. However, the understanding of the way the army of unsung editors-in-chief has strengthened and enriched the integrity and quality o…
Hierarchical Representation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals
Hao Yang, Zhongliang Yang, YongJian Bao +1
With the Volume of Voice over IP (VoIP) traffic rises shapely, more and more VoIP-based steganography methods have emerged in recent years, which poses a great threat to the securi…
Water Preservation in Soan River Basin using Deep Learning Techniques
Sadaqat ur Rehman, Zhongliang Yang, Muhammad Shahid +5
Water supplies are crucial for the development of living beings. However, change in the hydrological process i.e. climate and land usage are the key issues. Sustaining water level…
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…
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…
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…
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…
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…
A novel method of speech information hiding based on 3D-Magic Matrix
Zhongliang Yang, Xueshun Peng, Yongfeng Huang +1
Redundant information of low-bit-rate speech is extremely small, thus it's very difficult to implement large capacity steganography on the low-bit-rate speech. Based on multiple ve…
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…
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…