Haipeng Peng

ORCID: 0000-0003-4415-0126
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About
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Research Areas
  • Neural Networks Stability and Synchronization
  • Nonlinear Dynamics and Pattern Formation
  • Sparse and Compressive Sensing Techniques
  • Advanced Memory and Neural Computing
  • stochastic dynamics and bifurcation
  • Neural Networks and Applications
  • Chaos control and synchronization
  • Cryptography and Data Security
  • Network Security and Intrusion Detection
  • Complex Network Analysis Techniques
  • Advanced Steganography and Watermarking Techniques
  • Advanced Authentication Protocols Security
  • Opinion Dynamics and Social Influence
  • User Authentication and Security Systems
  • Distributed Control Multi-Agent Systems
  • Blockchain Technology Applications and Security
  • Advanced Malware Detection Techniques
  • Advanced Algorithms and Applications
  • Blind Source Separation Techniques
  • Chaos-based Image/Signal Encryption
  • Cloud Data Security Solutions
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Metaheuristic Optimization Algorithms Research
  • Neural Networks and Reservoir Computing

Beijing University of Posts and Telecommunications
2016-2025

Switch
2008-2024

State Key Laboratory of Networking and Switching Technology
2007-2016

Hangzhou Dianzi University
2013-2014

Chinese Academy of Sciences
2012

Yanshan University
2001-2012

Institute of Electrical Engineering
2003-2012

Potsdam Institute for Climate Impact Research
2012

Shenyang University of Technology
2004-2006

Based on the official data modeling, this paper studies transmission process of Corona Virus Disease 2019 (COVID-19). The error between model and curve is quite small. At same time, it realized forward prediction backward inference epidemic situation, relevant analysis help countries to make decisions.

10.1016/j.idm.2020.03.002 article EN cc-by-nc-nd Infectious Disease Modelling 2020-01-01

Based on the official data modeling, this paper studies transmission process of Corona Virus Disease 2019 (COVID-19). The error between model and curve is within 3%. At same time, it realized forward prediction backward inference epidemic situation, relevant analysis help countries to make decisions.

10.48550/arxiv.2003.06846 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Applications of wireless body area networks (WBANs) are extended from remote health care to military, sports, disaster relief, etc. With the network scale expanding, nodes increasing, and links complicated, a WBAN evolves body-to-body network. Along with development, energy saving data security problems highlighted. In this paper, chaotic compressive sensing (CCS) is proposed solve these two crucial problems, simultaneously. Compared traditional sensing, CCS can save vast storage space by...

10.1109/tbcas.2017.2665659 article EN IEEE Transactions on Biomedical Circuits and Systems 2017-05-16

The telecare medical information systems (TMISs) enable patients to conveniently enjoy services at home. protection of patient's privacy is a key issue due the openness communication environment. Authentication as typical approach adopted guarantee confidential and authorized interaction between patient remote server. In order achieve goals, numerous authentication schemes based on cryptography have been presented. Recently, Arshad et al. (J Med Syst 38(12): 2014) presented secure efficient...

10.1007/s10916-015-0221-7 article EN cc-by Journal of Medical Systems 2015-02-13

In this study, we propose the concept of judgment space to investigate quantum-secret-sharing scheme based on local distinguishability (called LOCC-QSS). Because proposing conception, property orthogonal mutiqudit entangled states under restricted operation and classical communication (LOCC) can be described more clearly. According these properties, reveal that, in previous ($k,n$)-threshold LOCC-QSS scheme, there are two required conditions for selected quantum resist unambiguous attack:...

10.1103/physreva.95.022320 article EN Physical review. A/Physical review, A 2017-02-13

Image captioning is a challenging task. Meanwhile, it important for the machine to understand meaning of an image better. In recent years, usually use long-short-term-memory (LSTM) as decoder generate sentence, and these models show excellent performance. Although LSTM can memorize dependencies, structure has complicated inherently sequential across time problems. To address issues, works have shown benefits Transformer translation. Inspired by their success, we develop Captioning (CT) model...

10.3390/app8050739 article EN cc-by Applied Sciences 2018-05-07

10.1016/j.ijepes.2010.01.006 article EN International Journal of Electrical Power & Energy Systems 2010-02-19

Significance We have studied the foraging behavior of group animals that live in fixed colonies (especially ants) as an important problem ecology. Building on former findings deterministic chaotic activities single ants, we uncovered transition from to periodic regimes results optimization scheme self-organization such animal colony. found effective ants mainly depends their nest well physical abilities and knowledge due experience. As outcome, is not represented by random, but rather walks,...

10.1073/pnas.1407083111 article EN Proceedings of the National Academy of Sciences 2014-05-27
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