Zhongshi He

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 45

Top Topics

Convolutional Neural Network

Sentiment Analysis

Emotion Recognition

Top Venues

Publications

Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. 42 (4) (2024)
Yuting Lin, Peng Ji, Xiuyi Chen, Zhongshi He
Lifelong Text-Audio Sentiment Analysis learning. Neural Networks 162 (2023)
Weimin Li, Xing Wu, Zhongshi He, Bo Zhou
Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning. ICONIP (7) (2023)
Dingding Chen, Ziyu Chen, Yanchen Deng, Zhongshi He, Lulu Wang
Inference-based complete algorithms for asymmetric distributed constraint optimization problems. Artif. Intell. Rev. 56 (5) (2023)
Dingding Chen, Ziyu Chen, Zhongshi He, Junsong Gao, Zhizhuo Su
Learning heuristics for weighted CSPs through deep reinforcement learning. Appl. Intell. 53 (8) (2023)
Wei Chen, Lulu Wang, Jinglong Du, Zhongshi He
SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis. ICANN (2) (2022)
Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. CoRR (2022)
Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. COLING (2022)
Wanqi Zhang, Lulu Wang, Wei Chen, Yuanyuan Jia, Zhongshi He, Jinglong Du
3d Cross-Scale Feature Transformer Network for Brain Mr Image Super-Resolution. ICASSP (2022)
Lulu Wang, Huazheng Zhu, Zhongshi He, Yuanyuan Jia, Jinglong Du
Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution. Biomed. Signal Process. Control. 72 (Part) (2022)
Wei Chen, Peiqin Lin, Wanqi Zhang, Jinglong Du, Zhongshi He
Hierarchical Interactive Network for joint aspect extraction and sentiment classification. Knowl. Based Syst. 256 (2022)
Xuecong Jiang, Lulu Wang, Zhongshi He, Jinglong Du
Learning a Frequency Separation Network with Hybrid Convolution and Adaptive Aggregation for Low-dose CT Denoising. BIBM (2021)
Weijia Li, Xing Wu, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du
High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation. IJCNN (2021)
Lulu Wang, Jinglong Du, Ali Gholipour, Huazheng Zhu, Zhongshi He, Yuanyuan Jia
3D dense convolutional neural network for fast and accurate single MR image super-resolution. Comput. Medical Imaging Graph. 93 (2021)
Weidong He, Yangjinan Hu, Lulu Wang, Zhongshi He, Jinglong Du
Gating Feature Dense Network for Single Anisotropic Mr Image Super-Resolution. ICASSP (2021)
Chenjiao Zhang, Lulu Wang, Xing Wu, Zhongshi He
3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans. IJCNN (2021)
Xiaoyu Qiao, Jinglong Du, Lulu Wang, Zhongshi He, Yuanyuan Jia
A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm. ICASSP (2020)
Zexun Zhou, Zhongshi He, Yuanyuan Jia
AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images. Neurocomputing 402 (2020)
Zexun Zhou, Zhongshi He, Meifeng Shi, Jinglong Du, Dingding Chen
3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads. Comput. Biol. Medicine 121 (2020)
Zexun Zhou, Zhongshi He, Yuanyuan Jia, Jinglong Du, Lulu Wang, Ziyu Chen
Context prior-based with residual learning for face detection: A deep convolutional encoder-decoder network. Signal Process. Image Commun. 88 (2020)
Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference. AAAI (2020)
Lulu Wang, Jinglong Du, Huazheng Zhu, Zhongshi He, Yuanyuan Jia
Brain MR Image Super-resolution using 3D Feature Attention Network. BIBM (2020)
Jinglong Du, Lulu Wang, Yulu Liu, Zexun Zhou, Zhongshi He, Yuanyuan Jia
Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder-Decoder Network. IEEE Access 8 (2020)
Dingding Chen, Yanchen Deng, Ziyu Chen, Zhongshi He, Wenxin Zhang
A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems. Auton. Agents Multi Agent Syst. 34 (2) (2020)
Jinglong Du, Zhongshi He, Lulu Wang, Ali Gholipour, Zexun Zhou, Dingding Chen, Yuanyuan Jia
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. Neurocomputing 392 (2020)
Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He
A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique. AAAI (2019)
Fei Guo, Zhongshi He, Liangyan Li, Jing Xuan
Unsupervised Learning of Multi-Sense Embedding with Matrix Factorization and Sparse Soft Clustering. Int. J. Pattern Recognit. Artif. Intell. 33 (13) (2019)
Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He
A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique. CoRR (2019)
Haiyan Wang, Zhongshi He, Dingding Chen, Yongwen Huang, Yiman He
Virtual Inpainting for Dazu Rock Carvings Based on a Sample Dataset. ACM Journal on Computing and Cultural Heritage 12 (3) (2019)
Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-based Inference. CoRR (2019)
Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia
Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network. BIBM (2019)
Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen, Lulu Wang, Jing Chen
FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection. IJCNN (2018)
Ziyu Chen, Yanchen Deng, Tengfei Wu, Zhongshi He
A class of iterative refined Max-sum algorithms via non-consecutive value propagation strategies. Auton. Agents Multi Agent Syst. 32 (6) (2018)
Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi He, Yuanyuan Jia
Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network. BIBM (2018)
Meifeng Shi, Zhongshi He, Ziyu Chen, Xin Liu
A full variate Gaussian model-based RM-MEDA without clustering process. Int. J. Mach. Learn. Cybern. 9 (10) (2018)
Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan
Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks. ICCAI (2018)
Zexun Zhou, Zhongshi He, Ziyu Chen, Yuanyuan Jia, Haiyan Wang, Jinglong Du, Dingding Chen
FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection. CoRR (2017)
Yafeng Niu, Dongsheng Zou, Yadong Niu, Zhongshi He, Hua Tan
A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks. CoRR (2017)
Yuanyuan Jia, Ali Gholipour, Zhongshi He, Simon K. Warfield
A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans. IEEE Trans. Medical Imaging 36 (5) (2017)
Huazheng Zhu, Zhongshi He, Yuanyuan Jia
An improved reference point based multi-objective optimization by decomposition. Int. J. Mach. Learn. Cybern. 7 (4) (2016)
Meifeng Shi, Zhongshi He, Ziyu Chen, Hang Zhang
A novel Multi-objective Optimization-based Image Registration Method. GECCO (2016)
Yuanyuan Jia, Zhongshi He, Ali Gholipour, Simon K. Warfield
Single Anisotropic 3-D MR Image Upsampling via Overcomplete Dictionary Trained From In-Plane High Resolution Slices. IEEE J. Biomed. Health Informatics 20 (6) (2016)
Gebeyehu Belay Gebremeskel, Chai Yi, Zhongshi He, Dawit Haile
Combined data mining techniques based patient data outlier detection for healthcare safety. Int. J. Intell. Comput. Cybern. 9 (1) (2016)
Huazheng Zhu, Zhongshi He, Yuanyuan Jia
A Novel Approach to Multiple Sequence Alignment Using Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE J. Biomed. Health Informatics 20 (2) (2016)
Yinghao Li, Zhongshi He, Hao Zhu, Weiwei Zhang, Yuhao Wu
Jointly registering and fusing images from multiple sensors. Inf. Fusion 27 (2016)
Gebeyehu Belay Gebremeskel, Chai Yi, Chengliang Wang, Zhongshi He
Critical analysis of smart environment sensor data behavior pattern based on sequential data mining techniques. Ind. Manag. Data Syst. 115 (6) (2015)
Pu Zhang, Zhongshi He
Using data-driven feature enrichment of text representation and ensemble technique for sentence-level polarity classification. J. Inf. Sci. 41 (4) (2015)
Pu Zhang, Zhongshi He, Lina Tao
A Study of Dependency Features for Chinese Sentiment Classification. J. Softw. 9 (11) (2014)
Weiwei Zhang, Gary G. Yen, Zhongshi He
Constrained Optimization Via Artificial Immune System. IEEE Trans. Cybern. 44 (2) (2014)
Qi Cao, Zhongshi He
Parameter optimization of simulation models for material supply in an emergent disaster based on support vector machine. Simul. 89 (3) (2013)
Pu Zhang, Zhongshi He
A weakly supervised approach to Chinese sentiment classification using partitioned self-training. J. Inf. Sci. 39 (6) (2013)
Hao Zhu, Henry Leung, Zhongshi He
State Estimation in Unknown Non-Gaussian Measurement Noise using Variational Bayesian Technique. IEEE Trans. Aerosp. Electron. Syst. 49 (4) (2013)
Hao Zhu, Henry Leung, Zhongshi He
A variational Bayesian approach to robust sensor fusion based on Student-t distribution. Inf. Sci. 221 (2013)
Shaobo Zhong, Zhongshi He
Application of Particle Swarm Optimization Algorithm based on Classification Strategies to Grid Task Scheduling. J. Softw. 7 (1) (2012)
Hao Zhu, Zhongshi He, Henry Leung
Simultaneous Feature and Model Selection for Continuous Hidden Markov Models. IEEE Signal Process. Lett. 19 (5) (2012)
Zhongshi He, Xin Liu, Yinong Chen
Secondary-diagonal mean transformation Partial Grey Model based on matrix series. Simul. Model. Pract. Theory 26 (2012)
Dongsheng Zou, Zhongshi He, Jingyuan He, Yuxian Xia
Supersecondary structure prediction using Chou's pseudo amino acid composition. J. Comput. Chem. 32 (2) (2011)
Dongsheng Zou, Zhongshi He, Yuan Yan
Using an Ensemble of Support Vector Machine Classifiers to Predict Protein Supersecondary Structural Motifs. J. Comput. 6 (10) (2011)
Hector Llorens, Estela Saquete, Borja Navarro, Liu Li, Zhongshi He
Data-Driven Approach Based on Semantic Roles for Recognizing Temporal Expressions and Events in Chinese. NLDB (2011)
Ziyu Chen, Zhongshi He, Cheng Zhang
Particle swarm optimizer with self-adjusting neighborhoods. GECCO (2010)
Lei Yu, Zhongshi He, Qi Cao
Gabor texture representation method for face recognition using the Gamma and generalized Gaussian models. Image Vis. Comput. 28 (1) (2010)
Yongwen Huang, Zhongshi He, Haiyan Wang
Optimization of Feature-Opinion Pairs in Chinese Customer Reviews. IEA/AIE (2009)
Yan Liang, Zhongshi He, Ying Liu
A Strategy for SPN Detection Based on Biomimetic Pattern Recognition and Knowledge-Based Features. IEA/AIE (2009)
Dongsheng Zou, Zhongshi He, Jingyuan He
beta-Hairpin prediction with quadratic discriminant analysis using diversity measure. J. Comput. Chem. 30 (14) (2009)
Haizhu Chen, Zhongshi He
A Uniform Solution to HPP in Terms of Membrane Computing. AICI (2009)
Houqun Yang, Zhongshi He, Xing Wu
Mining Partially Labeled Subgraphs Using Support Constraints. FSKD (2) (2009)
Ziyu Chen, Zhongshi He, Cheng Zhang
The non-clique particle swarm optimizer. GEC Summit (2009)
Dezheng Xie, Zhongshi He
The total chromatic number of regular graphs of even order and high degree. Discret. Math. 300 (1-3) (2005)
Yinong Chen, Zhongshi He
Bounds on the reliability of distributed systems with unreliable nodes & links. IEEE Trans. Reliab. 53 (2) (2004)
Yinong Chen, Zhongshi He
Simulating Highly Dependable Applications in a Distributed Computing Environment. Annual Simulation Symposium (2003)
Yinong Chen, Zhongshi He
The Simulation of a Highly Dependable Distributed Computing Environment. Simul. 79 (5-6) (2003)
Yinong Chen, Zhongshi He
Dependability Modeling of Homogeneous and Heterogeneous Distributed Systems. ISADS (2001)
Xiaofan Yang, Tinghuai Chen, Zehan Cao, Zhongshi He, Hongqing Cao
A New Scheme For The Fault Diagnosis Of Multiprocessor Systems. Asian Test Symposium (1996)