Zhongshi He

发表

LAG SYNCHRONIZATION OF THE FRACTIONAL-ORDER SYSTEM VIA NONLINEAR OBSERVER

Shangbo Zhou, Zhongshi He, Hao Zhu, 2011 .

Chaos synchronization of the fractional-order Chen's system

Shangbo Zhou, Zhongshi He, Hao Zhu, 2009 .

Generalized projective synchronization of time-delayed fractional order chaotic systems

Shangbo Zhou, Weiwei Zhang, Zhongshi He, 2009, 2009 International Conference on Communications, Circuits and Systems.

Segmentation of Pulmonary Artery Based on CT Angiography Image

Jamshid Dehmeshki, Salah D. Qanadli, Zhongshi He, 2010, 2010 Chinese Conference on Pattern Recognition (CCPR).

Learning heuristics for weighted CSPs through deep reinforcement learning

Zhongshi He, Dingding Chen, Ziyu Chen, 2022, Applied Intelligence.

3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans

Xing Wu, Zhongshi He, Chenjiao Zhang, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Inference-based complete algorithms for asymmetric distributed constraint optimization problems

Zhongshi He, Dingding Chen, Yanchen Deng, 2022, Artificial Intelligence Review.

Influence of encoding scheme on protein secondary structure prediction

Xiaofeng Huang, Dongsheng Zou, Zhongshi He, 2008, 2008 7th World Congress on Intelligent Control and Automation.

Brain-oriented Cconvolutional Neural Network Computer Style Recognition of Classical Chinese Poetry

Qiong Wu, Fei Guo, Hang Zhang, 2018 .

Compositional polarity classification approach for product reviews

Pu Zhang, Zhongshi He, Lina Tao, 2014, 2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference.

Supersecondary structure prediction using Chou's pseudo amino acid composition

Dongsheng Zou, Zhongshi He, Jingyuan He, 2011, J. Comput. Chem..

Combined data mining techniques based patient data outlier detection for healthcare safety

Chai Yi, Zhongshi He, Gebeyehu Belay Gebremeskel, 2016, Int. J. Intell. Comput. Cybern..

A Strategy for SPN Detection Based on Biomimetic Pattern Recognition and Knowledge-Based Features

Yan Liang, Zhongshi He, Ying Liu, 2009, IEA/AIE.

3d Cross-Scale Feature Transformer Network for Brain Mr Image Super-Resolution

Zhongshi He, Jinglong Du, Yuanyuan Jia, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution

Zhongshi He, Jinglong Du, Yuanyuan Jia, 2022, Biomed. Signal Process. Control..

State Estimation in Unknown Non-Gaussian Measurement Noise using Variational Bayesian Technique

Henry Leung, Hao Zhu, Zhongshi He, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Constrained Optimization Via Artificial Immune System

Gary G. Yen, Zhongshi He, Weiwei Zhang, 2014, IEEE Transactions on Cybernetics.

An improved reference point based multi-objective optimization by decomposition

Yuanyuan Jia, Zhongshi He, Huazheng Zhu, 2016, Int. J. Mach. Learn. Cybern..

An improved reference point based multi-objective optimization by decomposition

Zhongshi He, Yuanyuan Jia, Huazheng Zhu, 2015, International Journal of Machine Learning and Cybernetics.

A Novel Approach to Multiple Sequence Alignment Using Multiobjective Evolutionary Algorithm Based on Decomposition

Yuanyuan Jia, Zhongshi He, Huazheng Zhu, 2016, IEEE Journal of Biomedical and Health Informatics.

Bodhisattva head images modeling style recognition of Dazu Rock Carvings based on deep convolutional network

Haiyan Wang, Zexun Zhou, Dingding Chen, 2017 .

AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images

Zexun Zhou, Zhongshi He, Yuanyuan Jia, 2020, Neurocomputing.

3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads

Jinglong Du, Zexun Zhou, Zhongshi He, 2020, Comput. Biol. Medicine.

A weakly supervised approach to Chinese sentiment classification using partitioned self-training

Pu Zhang, Zhongshi He, Zhongshi He, 2013, J. Inf. Sci..

A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm

Lulu Wang, Jinglong Du, Zhongshi He, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans

Simon K. Warfield, Yuanyuan Jia, Zhongshi He, 2017, IEEE Transactions on Medical Imaging.

Single Anisotropic 3-D MR Image Upsampling via Overcomplete Dictionary Trained From In-Plane High Resolution Slices

Simon K. Warfield, Yuanyuan Jia, Zhongshi He, 2016, IEEE Journal of Biomedical and Health Informatics.

A class of iterative refined Max-sum algorithms via non-consecutive value propagation strategies

Zhongshi He, Tengfei Wu, Yanchen Deng, 2018, Autonomous Agents and Multi-Agent Systems.

A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems

Ziyu Chen, Yanchen Deng, Zhongshi He, 2020, Autonomous Agents and Multi-Agent Systems.

Parameter optimization of simulation models for material supply in an emergent disaster based on support vector machine

Qi Cao, Zhongshi He, Zhongshi He, 2013, Simul..

Application of Particle Swarm Optimization Algorithm based on Classification Strategies to Grid Task Scheduling

Shaobo Zhong, Zhongshi He, Zhongshi He, 2012, J. Softw..

3D dense convolutional neural network for fast and accurate single MR image super-resolution

A. Gholipour, Zhongshi He, Jinglong Du, 2021, Comput. Medical Imaging Graph..

Learning a Frequency Separation Network with Hybrid Convolution and Adaptive Aggregation for Low-dose CT Denoising

Zhongshi He, Jinglong Du, Lulu Wang, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Secondary-diagonal mean transformation Partial Grey Model based on matrix series

Xin Liu, Yinong Chen, Zhongshi He, 2012, Simul. Model. Pract. Theory.

Using data-driven feature enrichment of text representation and ensemble technique for sentence-level polarity classification

Pu Zhang, Zhongshi He, Zhongshi He, 2015, J. Inf. Sci..

A variational Bayesian approach to robust sensor fusion based on Student-t distribution

Henry Leung, Hao Zhu, Zhongshi He, 2013, Inf. Sci..

Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network

Zhongshi He, Lulu Wang, Ali Gholipour, 2020, Neurocomputing.

High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation

Weijia Li, Zhongshi He, Jinglong Du, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks

Yafeng Niu, Dongsheng Zou, Zhongshi He, 2018, ICCAI 2018.

Gabor texture representation method for face recognition using the Gamma and generalized Gaussian models

Lei Yu, Qi Cao, Zhongshi He, 2010, Image Vis. Comput..

A Novel Approach for Image Fusion Using Total Variation and Markov Random Field

Zongling Yan, Hao Zhu, Zhongshi He, 2012 .

A novel Multi-objective Optimization-based Image Registration Method

Hang Zhang, Ziyu Chen, Zhongshi He, 2016, GECCO.

HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-based Inference

Ziyu Chen, Wenxing Zhang, Yanchen Deng, 2019, AAAI.

Hierarchical Interactive Network for joint aspect extraction and sentiment classification

Zhongshi He, Jinglong Du, Peiqin Lin, 2022, Knowl. Based Syst..

Brain MR Image Super-resolution using 3D Feature Attention Network

Yuanyuan Jia, Lulu Wang, Huazheng Zhu, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis

Zhongshi He, Jinglong Du, Fuzhen Zhuang, 2022, COLING.

A full variate Gaussian model-based RM-MEDA without clustering process

Xin Liu, Ziyu Chen, Zhongshi He, 2017, International Journal of Machine Learning and Cybernetics.

Using an Ensemble of Support Vector Machine Classifiers to Predict Protein Supersecondary Structural Motifs

Dongsheng Zou, Zhongshi He, Yuan Yan, 2011, J. Comput..