Zhongshi He

According to our database, Zhongshi He authored at least 76 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph.

Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia

ACM Trans. Inf. Syst., July, 2024

An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.

Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He

CoRR, 2024

Dual-Branch Retinal OCT Anomaly Detection Based on Knowledge Distillation and Reconstruction.

Minghui Zhai, Xing Wu, Zhongshi He, ChengLiang Wang, Haidong Wang, Peng Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

Anomaly Detection in Chest X-ray Images with Adversarial Masked Autoencoder.

Yehong Tong, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked Autoencoders.

Yuping Peng, Xing Wu, Zhongshi He, Chengliang Wang, Haidong Wang, Peng Wang, Hongqian Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

US-SAM: An Automatic Prompt Sam For Ultrasound Image.

Yuteng Wang, Xing Wu, Zhongshi He, Peng Wang, Haidong Wang, Hongqian Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Lifelong Text-Audio Sentiment Analysis learning.

Yuting Lin, Peng Ji, Xiuyi Chen, Zhongshi He

Neural Networks, May, 2023

Inference-based complete algorithms for asymmetric distributed constraint optimization problems.

Dingding Chen, Ziyu Chen, Yanchen Deng, Zhongshi He, Lulu Wang

Artif. Intell. Rev., May, 2023

Learning heuristics for weighted CSPs through deep reinforcement learning.

Dingding Chen, Ziyu Chen, Zhongshi He, Junsong Gao, Zhizhuo Su

Appl. Intell., April, 2023

Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning.

Weimin Li, Xing Wu, Zhongshi He, Bo Zhou

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Hierarchical Interactive Network for joint aspect extraction and sentiment classification.

Wei Chen, Peiqin Lin, Wanqi Zhang, Jinglong Du, Zhongshi He

Knowl. Based Syst., 2022

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

Lulu Wang, Huazheng Zhu, Zhongshi He, Yuanyuan Jia, Jinglong Du

Biomed. Signal Process. Control., 2022

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

Wanqi Zhang, Lulu Wang, Wei Chen, Yuanyuan Jia, Zhongshi He, Jinglong Du

Proceedings of the IEEE International Conference on Acoustics, 2022

SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis.

Wei Chen, Lulu Wang, Jinglong Du, Zhongshi He

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

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

Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

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

Lulu Wang, Jinglong Du, Ali Gholipour, Huazheng Zhu, Zhongshi He, Yuanyuan Jia

Comput. Medical Imaging Graph., 2021

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

Chenjiao Zhang, Lulu Wang, Xing Wu, Zhongshi He

Proceedings of the International Joint Conference on Neural Networks, 2021

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

Weijia Li, Xing Wu, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du

Proceedings of the International Joint Conference on Neural Networks, 2021

Gating Feature Dense Network for Single Anisotropic Mr Image Super-Resolution.

Weidong He, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Xuecong Jiang, Lulu Wang, Zhongshi He, Jinglong Du

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Context prior-based with residual learning for face detection: A deep convolutional encoder-decoder network.

Zexun Zhou, Zhongshi He, Yuanyuan Jia, Jinglong Du, Lulu Wang, Ziyu Chen

Signal Process. Image Commun., 2020

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

Neurocomputing, 2020

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

Jinglong Du, Zhongshi He, Lulu Wang, Ali Gholipour, Zexun Zhou, Dingding Chen, Yuanyuan Jia

Neurocomputing, 2020

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

Zexun Zhou, Zhongshi He, Meifeng Shi, Jinglong Du, Dingding Chen

Comput. Biol. Medicine, 2020

Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder-Decoder Network.

Jinglong Du, Lulu Wang, Yulu Liu, Zexun Zhou, Zhongshi He, Yuanyuan Jia

IEEE Access, 2020

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

Dingding Chen, Yanchen Deng, Ziyu Chen, Zhongshi He, Wenxin Zhang

Auton. Agents Multi Agent Syst., 2020

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

Xiaoyu Qiao, Jinglong Du, Lulu Wang, Zhongshi He, Yuanyuan Jia

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Lulu Wang, Jinglong Du, Huazheng Zhu, Zhongshi He, Yuanyuan Jia

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

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

Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Virtual Inpainting for Dazu Rock Carvings Based on a Sample Dataset.

Haiyan Wang, Zhongshi He, Dingding Chen, Yongwen Huang, Yiman He

ACM Journal on Computing and Cultural Heritage, 2019

Unsupervised Learning of Multi-Sense Embedding with Matrix Factorization and Sparse Soft Clustering.

Fei Guo, Zhongshi He, Liangyan Li, Jing Xuan

Int. J. Pattern Recognit. Artif. Intell., 2019

A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique.

Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He

CoRR, 2019

Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network.

Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique.

Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Meifeng Shi, Zhongshi He, Ziyu Chen, Xin Liu

Int. J. Mach. Learn. Cybern., 2018

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

Ziyu Chen, Yanchen Deng, Tengfei Wu, Zhongshi He

Auton. Agents Multi Agent Syst., 2018

FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection.

Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen, Lulu Wang, Jing Chen

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks.

Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan

Proceedings of the 2018 International Conference on Computing and Artificial Intelligence, 2018

Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network.

Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi He, Yuanyuan Jia

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

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

Yuanyuan Jia, Ali Gholipour, Zhongshi He, Simon K. Warfield

IEEE Trans. Medical Imaging, 2017

FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection.

Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen

CoRR, 2017

A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks.

Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan

CoRR, 2017

2016

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

Huazheng Zhu, Zhongshi He, Yuanyuan Jia

IEEE J. Biomed. Health Informatics, 2016

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

Yuanyuan Jia, Zhongshi He, Ali Gholipour, Simon K. Warfield

IEEE J. Biomed. Health Informatics, 2016

An improved reference point based multi-objective optimization by decomposition.

Huazheng Zhu, Zhongshi He, Yuanyuan Jia

Int. J. Mach. Learn. Cybern., 2016

Jointly registering and fusing images from multiple sensors.

Yinghao Li, Zhongshi He, Hao Zhu, Weiwei Zhang, Yuhao Wu

Inf. Fusion, 2016

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

Gebeyehu Belay Gebremeskel, Chai Yi, Zhongshi He, Dawit Haile

Int. J. Intell. Comput. Cybern., 2016

A novel Multi-objective Optimization-based Image Registration Method.

Meifeng Shi, Zhongshi He, Ziyu Chen, Hang Zhang

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

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

Pu Zhang, Zhongshi He

J. Inf. Sci., 2015

Critical analysis of smart environment sensor data behavior pattern based on sequential data mining techniques.

Gebeyehu Belay Gebremeskel, Chai Yi, Chengliang Wang, Zhongshi He

Ind. Manag. Data Syst., 2015

2014

Constrained Optimization Via Artificial Immune System.

Weiwei Zhang, Gary G. Yen, Zhongshi He

IEEE Trans. Cybern., 2014

A Study of Dependency Features for Chinese Sentiment Classification.

Pu Zhang, Zhongshi He, Lina Tao

J. Softw., 2014

2013

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

Hao Zhu, Henry Leung, Zhongshi He

IEEE Trans. Aerosp. Electron. Syst., 2013

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

Qi Cao, Zhongshi He

Simul., 2013

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

Pu Zhang, Zhongshi He

J. Inf. Sci., 2013

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

Hao Zhu, Henry Leung, Zhongshi He

Inf. Sci., 2013

2012

Simultaneous Feature and Model Selection for Continuous Hidden Markov Models.

Hao Zhu, Zhongshi He, Henry Leung

IEEE Signal Process. Lett., 2012

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

Zhongshi He, Xin Liu, Yinong Chen

Simul. Model. Pract. Theory, 2012

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

Shaobo Zhong, Zhongshi He

J. Softw., 2012

2011

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

Dongsheng Zou, Zhongshi He, Yuan Yan

J. Comput., 2011

Supersecondary structure prediction using Chou's pseudo amino acid composition.

Dongsheng Zou, Zhongshi He, Jingyuan He, Yuxian Xia

J. Comput. Chem., 2011

Data-Driven Approach Based on Semantic Roles for Recognizing Temporal Expressions and Events in Chinese.

Hector Llorens, Estela Saquete, Borja Navarro, Liu Li, Zhongshi He

Proceedings of the Natural Language Processing and Information Systems, 2011

2010

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

Lei Yu, Zhongshi He, Qi Cao

Image Vis. Comput., 2010

Particle swarm optimizer with self-adjusting neighborhoods.

Ziyu Chen, Zhongshi He, Cheng Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

beta-Hairpin prediction with quadratic discriminant analysis using diversity measure.

Dongsheng Zou, Zhongshi He, Jingyuan He

J. Comput. Chem., 2009

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

Yan Liang, Zhongshi He, Ying Liu

Proceedings of the Next-Generation Applied Intelligence, 2009

Optimization of Feature-Opinion Pairs in Chinese Customer Reviews.

Yongwen Huang, Zhongshi He, Haiyan Wang

Proceedings of the Next-Generation Applied Intelligence, 2009

The non-clique particle swarm optimizer.

Ziyu Chen, Zhongshi He, Cheng Zhang

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

Mining Partially Labeled Subgraphs Using Support Constraints.

Houqun Yang, Zhongshi He, Xing Wu

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

A Uniform Solution to HPP in Terms of Membrane Computing.

Haizhu Chen, Zhongshi He

Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2005

The total chromatic number of regular graphs of even order and high degree.

Dezheng Xie, Zhongshi He

Discret. Math., 2005

2004

Bounds on the reliability of distributed systems with unreliable nodes & links.

Yinong Chen, Zhongshi He

IEEE Trans. Reliab., 2004

2003

The Simulation of a Highly Dependable Distributed Computing Environment.

Yinong Chen, Zhongshi He

Simul., 2003

Simulating Highly Dependable Applications in a Distributed Computing Environment.

Yinong Chen, Zhongshi He

Proceedings of the Proceedings 36th Annual Simulation Symposium (ANSS-36 2003), Orlando, Florida, USA, March 30, 2003

2001

Dependability Modeling of Homogeneous and Heterogeneous Distributed Systems.

Yinong Chen, Zhongshi He

Proceedings of the Fifth International Symposium on Autonomous Decentralized Systems, 2001

1996

A New Scheme For The Fault Diagnosis Of Multiprocessor Systems.

Xiaofan Yang, Tinghuai Chen, Zehan Cao, Zhongshi He, Hongqing Cao

Proceedings of the 5th Asian Test Symposium (ATS '96), 1996