Dongyu Zhao

ORCID: 0000-0001-6385-9304
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About
Contact & Profiles
Research Areas
  • Video Coding and Compression Technologies
  • Probabilistic and Robust Engineering Design
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Advanced Data Compression Techniques
  • Structural Health Monitoring Techniques
  • Advanced Multi-Objective Optimization Algorithms
  • Image and Signal Denoising Methods
  • Wind and Air Flow Studies
  • Generative Adversarial Networks and Image Synthesis
  • Fatigue and fracture mechanics
  • Computational Drug Discovery Methods
  • Remote Sensing and Land Use
  • Protein Structure and Dynamics
  • Receptor Mechanisms and Signaling
  • Optimization and Mathematical Programming
  • Image Retrieval and Classification Techniques
  • Non-Destructive Testing Techniques

University of Electronic Science and Technology of China
2021-2023

CRRC (China)
2016

Beihang University
2014-2015

Haier Group (China)
2015

Dalian University of Technology
2012

10.1007/s00158-023-03550-8 article EN Structural and Multidisciplinary Optimization 2023-03-29

Abstract The accurate prediction of protein–ligand binding is great importance for rational drug design. We present herein a novel docking algorithm called as FIPSDock, which implements variant the Fully Informed Particle Swarm (FIPS) optimization method and adopts newly developed energy function AutoDock 4.20 suite solving flexible problems. search ability accuracy FIPSDock were first evaluated by multiple cognate experiments. In benchmarking test 77 protein/ligand complex structures...

10.1002/jcc.23108 article EN Journal of Computational Chemistry 2012-09-07

10.1007/s00158-021-03076-x article EN Structural and Multidisciplinary Optimization 2021-09-14

The data size of hyperspectral image is too large for storage and transmission, it has become a bottleneck restricting its applications. So necessary to study high efficiency compression method image. Prediction encoding easy realize been studied widely in the field. Fractal coding advantages ratio, resolution independence, fast decoding speed, but application field not popular. In this paper, we propose novel algorithm based on hybrid prediction fractal. Intraband implemented first band all...

10.1155/2015/950357 article EN Mathematical Problems in Engineering 2015-01-01

10.1007/s11042-015-2677-3 article EN Multimedia Tools and Applications 2015-05-13

In this paper, we propose a fast intra-prediction mode decision algorithm based on the probability statistics of best prediction and relevance neighboring blocks for high efficiency video coding (HEVC) to reduce its encoding complexity. The intra candidates are reduced before Rate Distortion Optimization (RDO) procedure by two steps rough decision. Sum Absolute Difference (SAD) residuals is used in first step modes with smaller SAD values retained. We execute Hadamard transform from derive...

10.1109/iciea.2014.6931297 article EN 2014-06-01

In this paper, we investigate physical layer security for multiple decode-and-forward (DF) relaying underlay cognitive radio networks (CRNs) with fixed transmit power at the secondary network against passive eavesdropping attacks.We propose a simple relay selection scheme to improve wireless transmission based on instantaneous channel information of all legitimate users and statistical about eavesdropper channels.The closed-form expressions probability non-zero secrecy capacity outage (SOP)...

10.3837/tiis.2015.01.014 article EN KSII Transactions on Internet and Information Systems 2015-01-31

Satellites and their instruments are subject to the motion stability throughout lifetimes. The reliability of large flexible space structures (LFSS) is particularly important for satellites instruments. In this paper, analysis conducted based on Bayesian support vector regression (SVR). kinematic model a typical structure first established. Based model, surrogate then developed further reduce computational cost. Finally, using model. proposed method shows high accuracy efficiency assessments...

10.48550/arxiv.2110.04137 preprint EN cc-by-nc-sa arXiv (Cornell University) 2021-01-01
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