Wensheng Zhang

Orcid: 0000-0002-9120-9736

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, Beijing, China (PhD 2000)


According to our database1, Wensheng Zhang authored at least 175 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Super Resolution Graph With Conditional Normalizing Flows for Temporal Link Prediction.
IEEE Trans. Knowl. Data Eng., March, 2024

Multitasking bi-level evolutionary algorithm for data-intensive scientific workflows on clouds.
Expert Syst. Appl., March, 2024

A many-objective evolutionary algorithm assisted by ideal hyperplane.
Swarm Evol. Comput., February, 2024

MODSC: Many-Objective-Optimization-Driven Data-Balancing Strategy in Cross-Architectural Malware Classification for Extreme IoT.
IEEE Internet Things J., February, 2024

Indirect estimation of pediatric reference interval via density graph deep embedded clustering.
Comput. Biol. Medicine, February, 2024

Graph-guided deep hashing networks for similar patient retrieval.
Comput. Biol. Medicine, February, 2024

A cross-modal clinical prediction system for intensive care unit patient outcome.
Knowl. Based Syst., January, 2024

Dynamic adaptive multi-objective optimization algorithm based on type detection.
Inf. Sci., January, 2024

SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Semi-Fragile Reversible Watermarking for 3D Models Using Spherical Crown Volume Division.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

DAResNet Based on double-layer residual block for restoring industrial blurred images.
Signal Process. Image Commun., November, 2023

Cooperative-competitive two-stage game mechanism assisted many-objective evolutionary algorithm.
Inf. Sci., November, 2023

IDO: Instance dual-optimization for weakly supervised object detection.
Appl. Intell., November, 2023

Leveraging Summary Guidance on Medical Report Summarization.
IEEE J. Biomed. Health Informatics, October, 2023

CEHMR: Curriculum learning enhanced hierarchical multi-label classification for medication recommendation.
Artif. Intell. Medicine, September, 2023

Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Dual feature enhanced video super-resolution network based on low-light scenarios.
Signal Process. Image Commun., July, 2023

Active learning with effective scoring functions for semi-supervised temporal action localization.
Displays, July, 2023

Consistency and adversarial semi-supervised learning for medical image segmentation.
Comput. Biol. Medicine, July, 2023

Partial Domain Adaptation by Progressive Sample Learning of Shared Classes.
Neural Process. Lett., June, 2023

Context-aware mutual learning for semi-supervised human activity recognition using wearable sensors.
Expert Syst. Appl., June, 2023

Learning specific and conserved features of multi-layer networks.
Inf. Sci., April, 2023

Open set domain adaptation with latent structure discovery and kernelized classifier learning.
Neurocomputing, April, 2023

Differentiable N-gram objective on abstractive summarization.
Expert Syst. Appl., April, 2023

Leveraging semantic property for temporal knowledge graph completion.
Appl. Intell., April, 2023

A many-objective evolutionary algorithm based on constraints for collaborative computation offloading.
Swarm Evol. Comput., March, 2023

A survey on federated learning: challenges and applications.
Int. J. Mach. Learn. Cybern., February, 2023

The global evaluation strategy for many-objective partial collaborative computation offloading problem.
Concurr. Comput. Pract. Exp., January, 2023

Randomized Spectrum Transformations for Adapting Object Detector in Unseen Domains.
IEEE Trans. Image Process., 2023

Style Uncertainty Based Self-Paced Meta Learning for Generalizable Person Re-Identification.
IEEE Trans. Image Process., 2023

A Many-Objective Optimization Based Federal Deep Generation Model for Enhancing Data Processing Capability in IoT.
IEEE Trans. Ind. Informatics, 2023

Class-Oriented Self-Learning Graph Embedding for Image Compact Representation.
IEEE Trans. Circuits Syst. Video Technol., 2023

Multi-View Clustering With Graph Learning for scRNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Meta-path infomax joint structure enhancement for multiplex network representation learning.
Knowl. Based Syst., 2023

Cross-stream contrastive learning for self-supervised skeleton-based action recognition.
Image Vis. Comput., 2023

Improving fraud detection via hierarchical attention-based Graph Neural Network.
J. Inf. Secur. Appl., 2023

Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence Modeling.
CoRR, 2023

Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning.
CoRR, 2023

Cancer omic data based explainable AI drug recommendation inference: A traceability perspective for explainability.
Biomed. Signal Process. Control., 2023

2022
SE-GRU: Structure Embedded Gated Recurrent Unit Neural Networks for Temporal Link Prediction.
IEEE Trans. Netw. Sci. Eng., 2022

Constrained Tensor Representation Learning for Multi-View Semi-Supervised Subspace Clustering.
IEEE Trans. Multim., 2022

Inductive Spatiotemporal Graph Convolutional Networks for Short-Term Quantitative Precipitation Forecasting.
IEEE Trans. Geosci. Remote. Sens., 2022

Ship Detection in High-Resolution Optical Remote Sensing Images Aided by Saliency Information.
IEEE Trans. Geosci. Remote. Sens., 2022

Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image.
IEEE Trans. Cybern., 2022

One-Step Multiview Subspace Segmentation via Joint Skinny Tensor Learning and Latent Clustering.
IEEE Trans. Cybern., 2022

Joint Sparse Locality-Aware Regression for Robust Discriminative Learning.
IEEE Trans. Cybern., 2022

Multi-View Clustering With Self-Representation and Structural Constraint.
IEEE Trans. Big Data, 2022

Classifying Clear Air Echoes via Static and Motion Streams Network.
IEEE Geosci. Remote. Sens. Lett., 2022

Multi-level semantic fusion network for Chinese medical named entity recognition.
J. Biomed. Informatics, 2022

Structure-aware siamese graph neural networks for encounter-level patient similarity learning.
J. Biomed. Informatics, 2022

An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem under uncertainty.
Inf. Sci., 2022

Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples.
Neurocomputing, 2022

SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities.
Neurocomputing, 2022

Deep multi-view semi-supervised clustering with sample pairwise constraints.
Neurocomputing, 2022

Constrained Maximum Cross-Domain Likelihood for Domain Generalization.
CoRR, 2022

Attentive pooling for Group Activity Recognition.
CoRR, 2022

Variational Distillation for Multi-View Learning.
CoRR, 2022

Differentiable N-gram Objective on Abstractive Summarization.
CoRR, 2022

MEAD: a Mask-guidEd Anchor-free Detector for oriented aerial object detection.
Appl. Intell., 2022

Deep convolutional self-paced clustering.
Appl. Intell., 2022

Mitigating Both Covariate and Conditional Shift for Domain Generalization.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G.
IEEE Trans. Veh. Technol., 2021

Robust Kernelized Multiview Self-Representation for Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2021

Joint Deep Multi-View Learning for Image Clustering.
IEEE Trans. Knowl. Data Eng., 2021

Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering.
IEEE Trans. Knowl. Data Eng., 2021

A Sharding Scheme-Based Many-Objective Optimization Algorithm for Enhancing Security in Blockchain-Enabled Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2021

Improving Domain-Adaptive Person Re-Identification by Dual-Alignment Learning With Camera-Aware Image Generation.
IEEE Trans. Circuits Syst. Video Technol., 2021

Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model.
IEEE Netw., 2021

Composition-driven symptom phrase recognition for Chinese medical consultation corpora.
BMC Medical Informatics Decis. Mak., 2021

Graph Convolutional Regression Networks for Quantitative Precipitation Estimation.
IEEE Geosci. Remote. Sens. Lett., 2021

An improved matrix factorization based model for many-objective optimization recommendation.
Inf. Sci., 2021

Multi-objective evolutionary 3D face reconstruction based on improved encoder-decoder network.
Inf. Sci., 2021

A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System.
IEEE Internet Things J., 2021

Enhancing knowledge graph embedding with relational constraints.
Neurocomputing, 2021

Quality-related fault diagnosis based on k-nearest neighbor rule for non-linear industrial processes.
Int. J. Distributed Sens. Networks, 2021

Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization.
CoRR, 2021

Consistent scale normalization for object perception.
Appl. Intell., 2021

Feedforward Neural Network Based on Nonmonotone Conjugate Gradient Method for Multiple Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A Hybrid BlockChain-Based Identity Authentication Scheme for Multi-WSN.
IEEE Trans. Serv. Comput., 2020

Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios.
IEEE Trans. Serv. Comput., 2020

Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2020

Tensor Multi-Task Learning for Person Re-Identification.
IEEE Trans. Image Process., 2020

Learning to Align via Wasserstein for Person Re-Identification.
IEEE Trans. Image Process., 2020

Mask SSD: An Effective Single-Stage Approach to Object Instance Segmentation.
IEEE Trans. Image Process., 2020

Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning.
IEEE Trans. Image Process., 2020

A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection.
IEEE Trans. Ind. Informatics, 2020

Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning.
IEEE Trans. Cybern., 2020

Weight convergence analysis of DV-hop localization algorithm with GA.
Soft Comput., 2020

Orthogonal neighborhood preserving discriminant analysis with patch embedding for face recognition.
Pattern Recognit., 2020

Discriminative structure learning of sum-product networks for data stream classification.
Neural Networks, 2020

Hybrid many-objective cuckoo search algorithm with Lévy and exponential distributions.
Memetic Comput., 2020

Learning to Generate Radar Image Sequences Using Two-Stage Generative Adversarial Networks.
IEEE Geosci. Remote. Sens. Lett., 2020

Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction.
Knowl. Based Syst., 2020

Improve the translational distance models for knowledge graph embedding.
J. Intell. Inf. Syst., 2020

Hybrid many-objective particle swarm optimization algorithm for green coal production problem.
Inf. Sci., 2020

High-speed rail pole number recognition through deep representation and temporal redundancy.
Neurocomputing, 2020

Label distribution learning with climate probability for ensemble forecasting.
Intell. Data Anal., 2020

A hybrid recommendation system with many-objective evolutionary algorithm.
Expert Syst. Appl., 2020

Robust Locality-Aware Regression for Labeled Data Classification.
CoRR, 2020

NSGA-II approach for proper choice of nodes and knots in B-spline curve interpolation.
Comput. Aided Des., 2020

Multi-scale 2D Representation Learning for weakly-supervised moment retrieval.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Effective Image Retrieval via Multilinear Multi-Index Fusion.
IEEE Trans. Multim., 2019

Multitask Policy Adversarial Learning for Human-Level Control With Large State Spaces.
IEEE Trans. Ind. Informatics, 2019

Improved NSGA-III with selection-and-elimination operator.
Swarm Evol. Comput., 2019

A hybrid many-objective cuckoo search algorithm.
Soft Comput., 2019

Multi-task Character-Level Attentional Networks for Medical Concept Normalization.
Neural Process. Lett., 2019

Locator slope calculation via deep representations based on monocular vision.
Neural Comput. Appl., 2019

PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning.
Int. J. Mach. Learn. Cybern., 2019

Bat algorithm with principal component analysis.
Int. J. Mach. Learn. Cybern., 2019

Improving short-text representation in convolutional networks by dependency parsing.
Knowl. Inf. Syst., 2019

Malicious code detection based on CNNs and multi-objective algorithm.
J. Parallel Distributed Comput., 2019

Optimal LEACH Protocol with Improved Bat Algorithm in Wireless Sensor Networks.
KSII Trans. Internet Inf. Syst., 2019

Re-KISSME: A robust resampling scheme for distance metric learning in the presence of label noise.
Neurocomputing, 2019

Analyses of inverted generational distance for many-objective optimisation algorithms.
Int. J. Bio Inspired Comput., 2019

Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning.
IET Image Process., 2019

Consistent Scale Normalization for Object Recognition.
CoRR, 2019

Privacy protection based on many-objective optimization algorithm.
Concurr. Comput. Pract. Exp., 2019

A pigeon-inspired optimization algorithm for many-objective optimization problems.
Sci. China Inf. Sci., 2019

2018
Computational Model Based on Neural Network of Visual Cortex for Human Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2018

AMDO: An Over-Sampling Technique for Multi-Class Imbalanced Problems.
IEEE Trans. Knowl. Data Eng., 2018

Radar and Rain Gauge Merging-Based Precipitation Estimation via Geographical-Temporal Attention Continuous Conditional Random Field.
IEEE Trans. Geosci. Remote. Sens., 2018

On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization.
Int. J. Comput. Vis., 2018

Industrial Big Data Analytics: Challenges, Methodologies, and Applications.
CoRR, 2018

Multi-Task Generative Adversarial Nets with Shared Memory for Cross-Domain Coordination Control.
CoRR, 2018

Enhancing Knowledge Graph Completion with Positive Unlabeled Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
The Twist Tensor Nuclear Norm for Video Completion.
IEEE Trans. Neural Networks Learn. Syst., 2017

Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition.
IEEE Trans. Image Process., 2017

Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning.
IEEE Trans. Cybern., 2017

Discriminative Reverse Sparse Tracking via Weighted Multitask Learning.
IEEE Trans. Circuits Syst. Video Technol., 2017

Opposition-based particle swarm optimization with adaptive mutation strategy.
Soft Comput., 2017

Scalable learning and inference in Markov logic networks.
Int. J. Approx. Reason., 2017

Robust Kernelized Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization.
CoRR, 2017

Depression Disorder Classification of fMRI Data Using Sparse Low-Rank Functional Brain Network and Graph-Based Features.
Comput. Math. Methods Medicine, 2017

Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

An Effective High Resolution Rainfall Estimation Based on Spatiotemporal Modeling.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017

2016
Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression.
IEEE Trans. Image Process., 2016

Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction.
IEEE Trans. Image Process., 2016

Large-Scale Online Multitask Learning and Decision Making for Flexible Manufacturing.
IEEE Trans. Ind. Informatics, 2016

Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p-Norm Minimization.
IEEE Trans. Geosci. Remote. Sens., 2016

Semisupervised Multilabel Learning With Joint Dimensionality Reduction.
IEEE Signal Process. Lett., 2016

Spatiotemporal Modeling and Implementation for Radar-Based Rainfall Estimation.
IEEE Geosci. Remote. Sens. Lett., 2016

Multi-View Subspace Clustering via Relaxed L<sub>1</sub>-Norm of Tensor Multi-Rank.
CoRR, 2016

Online Weighted Multi-task Feature Selection.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

A Weighted Discriminative Dictionary Learning Method for Depression Disorder Classification Using fMRI Data.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015
Image automatic annotation via multi-view deep representation.
J. Vis. Commun. Image Represent., 2015

Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking.
Neurocomputing, 2015

A TV-l<sub>1</sub> based nonrigid image registration by coupling parametric and non-parametric transformation.
Int. J. Autom. Comput., 2015

A New Low-Rank Tensor Model for Video Completion.
CoRR, 2015

2014
Discriminative Object Tracking via Sparse Representation and Online Dictionary Learning.
IEEE Trans. Cybern., 2014

Discriminative subspace learning with sparse representation view-based model for robust visual tracking.
Pattern Recognit., 2014

Single image super-resolution using combined total variation regularization by split Bregman Iteration.
Neurocomputing, 2014

A total variation based nonrigid image registration by combining parametric and non-parametric transformation models.
Neurocomputing, 2014

A particle swarm optimization using local stochastic search and enhancing diversity for continuous optimization.
Neurocomputing, 2014

Distortion-driven Turbulence Effect Removal using Variational Model.
CoRR, 2014

Image Super-Resolution Using Deep Belief Networks.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

Fusion Hidden Markov Model with Latent Dirichlet Allocation Model in Heterogeneous Domains.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

Image Denoising via Nonlocally Sparse Coding and Tensor Decomposition.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014

2013
Improved heuristic equivalent search algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning.
Neurocomputing, 2013

An adaptive video shot segmentation scheme based on dual-detection model.
Neurocomputing, 2013

Non-blind Image Deblurring from a Single Image.
Cogn. Comput., 2013

Locally linear representation Fisher criterion.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Combining Conditional Random Fields and first-order logic for modeling hidden content structure in sentiment analysis.
Proceedings of the Ninth International Conference on Natural Computation, 2013

2012
Online multiple instance gradient feature selection for robust visual tracking.
Pattern Recognit. Lett., 2012

Feature extraction using maximum variance sparse mapping.
Neural Comput. Appl., 2012

Discriminant Graph Based Linear Embedding.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

A Particle Swarm Optimization Using Local Stochastic Search for Continuous Optimization.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012

2011
An Video Shot Segmentation Scheme Based on Adaptive Binary Searching and SIFT.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

Investigation of acupoint specificity by whole brain functional connectivity analysis from fMRI data.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
User-Centric Similarity and Proximity Measures for Spatial Personalization.
Int. J. Data Warehous. Min., 2010

Building Associated Semantic Overlay for Discovering Associated Services.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

Discovery of Protein's Multifunction and Diversity of Information Transmission.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2008
Ranking with decision tree.
Knowl. Inf. Syst., 2008

Listwise approach to learning to rank: theory and algorithm.
Proceedings of the Machine Learning, 2008

2007
Recursive Feature Extraction for Ordinal Regression.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
An Effective Tree-Based Algorithm for Ordinal Regression.
IEEE Intell. Informatics Bull., 2006


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