A New Scheme For The Fault Diagnosis Of Multiprocessor Systems. - Xiaofan Yang; Tinghuai Chen; Zehan Cao; Zhongshi He; Hongqing Cao (Asian Test Symposium, 1996)

Dependability Modeling of Homogeneous and Heterogeneous Distributed Systems. - Yinong Chen; Zhongshi He (ISADS, 2001)

Simulating Highly Dependable Applications in a Distributed Computing Environment. - Yinong Chen; Zhongshi He (Annual Simulation Symposium, 2003)

The Simulation of a Highly Dependable Distributed Computing Environment. - Yinong Chen; Zhongshi He (Simul., 2003)

Bounds on the reliability of distributed systems with unreliable nodes & links. - Yinong Chen; Zhongshi He (IEEE Trans. Reliab., 2004)

The total chromatic number of regular graphs of even order and high degree. - Dezheng Xie; Zhongshi He (Discret. Math., 2005)

A Uniform Solution to HPP in Terms of Membrane Computing. - Haizhu Chen; Zhongshi He (AICI, 2009)

Mining Partially Labeled Subgraphs Using Support Constraints. - Houqun Yang; Zhongshi He; Xing Wu (FSKD (2), 2009)

The non-clique particle swarm optimizer. - Ziyu Chen; Zhongshi He; Cheng Zhang (GEC Summit, 2009)

Optimization of Feature-Opinion Pairs in Chinese Customer Reviews. - Yongwen Huang; Zhongshi He; Haiyan Wang (IEA/AIE, 2009)

A Strategy for SPN Detection Based on Biomimetic Pattern Recognition and Knowledge-Based Features. - Yan Liang; Zhongshi He; Ying Liu 004 (IEA/AIE, 2009)

beta-Hairpin prediction with quadratic discriminant analysis using diversity measure. - Dongsheng Zou; Zhongshi He; Jingyuan He (J. Comput. Chem., 2009)

Particle swarm optimizer with self-adjusting neighborhoods. - Ziyu Chen; Zhongshi He; Cheng Zhang (GECCO, 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)

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 (NLDB, 2011)

Supersecondary structure prediction using Chou's pseudo amino acid composition. - Dongsheng Zou; Zhongshi He; Jingyuan He; Yuxian Xia (J. Comput. Chem., 2011)

Using an Ensemble of Support Vector Machine Classifiers to Predict Protein Supersecondary Structural Motifs. - Dongsheng Zou; Zhongshi He; Yuan Yan (J. Comput., 2011)

Application of Particle Swarm Optimization Algorithm based on Classification Strategies to Grid Task Scheduling. - Shaobo Zhong; Zhongshi He (J. Softw., 2012)

Secondary-diagonal mean transformation Partial Grey Model based on matrix series. - Zhongshi He; Xin Liu; Yinong Chen (Simul. Model. Pract. Theory, 2012)

Simultaneous Feature and Model Selection for Continuous Hidden Markov Models. - Hao Zhu 003; Zhongshi He; Henry Leung (IEEE Signal Process. Lett., 2012)

A variational Bayesian approach to robust sensor fusion based on Student-t distribution. - Hao Zhu 003; Henry Leung; Zhongshi He (Inf. Sci., 2013)

A weakly supervised approach to Chinese sentiment classification using partitioned self-training. - Pu Zhang; Zhongshi He (J. Inf. Sci., 2013)

Parameter optimization of simulation models for material supply in an emergent disaster based on support vector machine. - Qi Cao; Zhongshi He (Simul., 2013)

State Estimation in Unknown Non-Gaussian Measurement Noise using Variational Bayesian Technique. - Hao Zhu 003; Henry Leung; Zhongshi He (IEEE Trans. Aerosp. Electron. Syst., 2013)

A Study of Dependency Features for Chinese Sentiment Classification. - Pu Zhang; Zhongshi He; Lina Tao (J. Softw., 2014)

Constrained Optimization Via Artificial Immune System. - Weiwei Zhang 003; Gary G. Yen; Zhongshi He (IEEE Trans. Cybern., 2014)

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)

Using data-driven feature enrichment of text representation and ensemble technique for sentence-level polarity classification. - Pu Zhang; Zhongshi He (J. Inf. Sci., 2015)

A novel Multi-objective Optimization-based Image Registration Method. - Meifeng Shi; Zhongshi He; Ziyu Chen; Hang Zhang (GECCO, 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)

Jointly registering and fusing images from multiple sensors. - Yinghao Li; Zhongshi He; Hao Zhu 003; Weiwei Zhang 003; Yuhao Wu (Inf. Fusion, 2016)

An improved reference point based multi-objective optimization by decomposition. - Huazheng Zhu; Zhongshi He; Yuanyuan Jia (Int. J. Mach. Learn. Cybern., 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)

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)

A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks. - Yafeng Niu; Dongsheng Zou; Yadong Niu; Zhongshi He; Hua Tan (CoRR, 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 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)

Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network. - Jinglong Du; Lulu Wang 013; Ali Gholipour; Zhongshi He; Yuanyuan Jia (BIBM, 2018)

Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks. - Yafeng Niu; Dongsheng Zou; Yadong Niu; Zhongshi He; Hua Tan (ICCAI, 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 013; Jing Chen (IJCNN, 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)

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 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 (AAAI, 2019)

Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network. - Lulu Wang 013; Jinglong Du; Ali Gholipour; Zhongshi He; Yuanyuan Jia (BIBM, 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)

Unsupervised Learning of Multi-Sense Embedding with Matrix Factorization and Sparse Soft Clustering. - Fei Guo 004; Zhongshi He; Liangyan Li; Jing Xuan (Int. J. Pattern Recognit. Artif. Intell., 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)

HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference. - Dingding Chen; Yanchen Deng; Ziyu Chen; Wenxin Zhang 002; Zhongshi He (AAAI, 2020)

Brain MR Image Super-resolution using 3D Feature Attention Network. - Lulu Wang 013; Jinglong Du; Huazheng Zhu; Zhongshi He; Yuanyuan Jia (BIBM, 2020)

A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm. - Xiaoyu Qiao; Jinglong Du; Lulu Wang 013; Zhongshi He; Yuanyuan Jia (ICASSP, 2020)

A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems. - Dingding Chen; Yanchen Deng; Ziyu Chen; Zhongshi He; Wenxin Zhang 002 (Auton. Agents Multi Agent Syst., 2020)

Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder-Decoder Network. - Jinglong Du; Lulu Wang 013; Yulu Liu; Zexun Zhou; Zhongshi He; Yuanyuan Jia (IEEE Access, 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)

Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. - Jinglong Du; Zhongshi He; Lulu Wang 013; Ali Gholipour; Zexun Zhou; Dingding Chen; Yuanyuan Jia (Neurocomputing, 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)

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 013; Ziyu Chen (Signal Process. Image Commun., 2020)

Learning a Frequency Separation Network with Hybrid Convolution and Adaptive Aggregation for Low-dose CT Denoising. - Xuecong Jiang; Lulu Wang 013; Zhongshi He; Jinglong Du (BIBM, 2021)

Gating Feature Dense Network for Single Anisotropic Mr Image Super-Resolution. - Weidong He; Yangjinan Hu; Lulu Wang 013; Zhongshi He; Jinglong Du (ICASSP, 2021)

High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation. - Weijia Li; Xing Wu; Yangjinan Hu; Lulu Wang 013; Zhongshi He; Jinglong Du (IJCNN, 2021)

3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans. - Chenjiao Zhang; Lulu Wang 013; Xing Wu; Zhongshi He (IJCNN, 2021)

3D dense convolutional neural network for fast and accurate single MR image super-resolution. - Lulu Wang 013; Jinglong Du; Ali Gholipour; Huazheng Zhu; Zhongshi He; Yuanyuan Jia (Comput. Medical Imaging Graph., 2021)

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. - Wei Chen 061; Jinglong Du; Zhao Zhang 011; Fuzhen Zhuang; Zhongshi He (COLING, 2022)

SubCrime: Counterfactual Data Augmentation for Target Sentiment Analysis. - Wei Chen; Lulu Wang 013; Jinglong Du; Zhongshi He (ICANN (2), 2022)

3d Cross-Scale Feature Transformer Network for Brain Mr Image Super-Resolution. - Wanqi Zhang; Lulu Wang 013; Wei Chen; Yuanyuan Jia; Zhongshi He; Jinglong Du (ICASSP, 2022)

Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution. - Lulu Wang 013; Huazheng Zhu; Zhongshi He; Yuanyuan Jia; Jinglong Du (Biomed. Signal Process. Control., 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)

Visual Navigation of Target-Driven Memory-Augmented Reinforcement Learning. - Weimin Li; Xing Wu; Zhongshi He; Bo Zhou (ICONIP (7), 2023)

Learning heuristics for weighted CSPs through deep reinforcement learning. - Dingding Chen; Ziyu Chen; Zhongshi He; Junsong Gao; Zhizhuo Su (Appl. Intell., 2023)

Inference-based complete algorithms for asymmetric distributed constraint optimization problems. - Dingding Chen; Ziyu Chen; Yanchen Deng; Zhongshi He; Lulu Wang 013 (Artif. Intell. Rev., 2023)

Lifelong Text-Audio Sentiment Analysis learning. - Yuting Lin; Peng Ji; Xiuyi Chen; Zhongshi He (Neural Networks, 2023)

US-SAM: An Automatic Prompt Sam For Ultrasound Image. - Yuteng Wang; Xing Wu; Zhongshi He; Peng Wang; Haidong Wang; Hongqian Wang (ICME, 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 (IJCNN, 2024)

Anomaly Detection in Chest X-ray Images with Adversarial Masked Autoencoder. - Yehong Tong; Xing Wu; Zhongshi He; Chengliang Wang; Haidong Wang; Peng Wang (IJCNN, 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 (IJCNN, 2024)

Visual Navigation by Fusing Object Semantic Feature. - Weimin Li; Xing Wu; Chengliang Wang; Zhongshi He; Peng Wang; Hongqian Wang (SMC, 2024)

FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. - Wei Chen 061; Yiqing Wu; Zhao Zhang 011; Fuzhen Zhuang; Zhongshi He; Ruobing Xie; Feng Xia 006 (ACM Trans. Inf. Syst., 2024)

An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes. - Jiayu Hu; Senlin Shu; Beibei Li 001; Tao Xiang 001; Zhongshi He (ACM Trans. Intell. Syst. Technol., 2024)

SA-SAM: Stronger Adaptation for SAM in Camouflaged Object Detection. - Zhengqiang Jia; Xing Wu; Bo Zhou; Chengliang Wang; Zhongshi He (ICIC (3), 2025)

FullTransNet: Full Transformer with Local-Global Attention for Video Summarization. - Libin Lan; Lu Jiang; Tianshu Yu 002; Xiaojuan Liu; Zhongshi He (CoRR, 2025)