Junhao Wen

According to our database1, Junhao Wen authored at least 130 papers between 2005 and 2022.

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

Timeline

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Bibliography

2022
Endpoint Communication Contention-Aware Cloud Workflow Scheduling.
IEEE Trans Autom. Sci. Eng., 2022

Deep Learning Approach for Automatic Microaneurysms Detection.
Sensors, 2022

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.
Medical Image Anal., 2022

SocialLGN: Light graph convolution network for social recommendation.
Inf. Sci., 2022

Mask guided diverse face image synthesis.
Frontiers Comput. Sci., 2022

Effort-aware cross-project just-in-time defect prediction framework for mobile apps.
Frontiers Comput. Sci., 2022

Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience.
CoRR, 2022

Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns.
CoRR, 2022

The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches.
CoRR, 2022

Subtyping brain diseases from imaging data.
CoRR, 2022

A cloud service recommendation method based on extended multi-source information fusion.
Concurr. Comput. Pract. Exp., 2022

Ada: Adversarial learning based data augmentation for malicious users detection.
Appl. Soft Comput., 2022

LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
PA-Cache: Evolving Learning-Based Popularity- Aware Content Caching in Edge Networks.
IEEE Trans. Netw. Serv. Manag., 2021

Improving deep-learning-based fault localization with resampling.
J. Softw. Evol. Process., 2021

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.
Neuroinformatics, 2021

An improved shuffled frog-leaping algorithm for the minmax multiple traveling salesman problem.
Neural Comput. Appl., 2021

PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context.
Mob. Networks Appl., 2021

Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review.
Medical Image Anal., 2021

Recommender systems based on generative adversarial networks: A problem-driven perspective.
Inf. Sci., 2021

Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies.
Frontiers Neuroinformatics, 2021

Predicting the next location: A self-attention and recurrent neural network model with temporal context.
Trans. Emerg. Telecommun. Technol., 2021

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021

Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease.
CoRR, 2021

Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing.
Proceedings of the International Joint Conference on Neural Networks, 2021

GRU with Level-Aware Attention for Rumor Early Detection in Social Networks.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Manipulating Black-Box Networks for Centrality Promotion.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Improving Personalized Project Recommendation on GitHub Based on Deep Matrix Factorization.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System.
Proceedings of the IEEE International Conference on Services Computing, 2021

2020
MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows.
IEEE Trans Autom. Sci. Eng., 2020

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.
Medical Image Anal., 2020

An Improved Total Uncertainty Measure in the Evidence Theory and Its Application in Decision Making.
Entropy, 2020

Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images.
CoRR, 2020

Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks.
Complex., 2020

Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey.
IEEE Access, 2020

Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics.
IEEE Access, 2020

Task Offloading for End-Edge-Cloud Orchestrated Computing in Mobile Networks.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

GST-GCN: A Geographic-Semantic-Temporal Graph Convolutional Network for Context-aware Traffic Flow Prediction on Graph Sequences.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Web Service Discovery Based on Knowledge Graph and Similarity Network.
Proceedings of the 2020 IEEE World Congress on Services, 2020

MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Mobility-Aware Content Caching and User Association for Ultra-Dense Mobile Edge Computing Networks.
Proceedings of the IEEE Global Communications Conference, 2020

DCT: A Deep Collaborative Filtering Approach Based on Content-Text Fused for Recommender Systems.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

Robustness Analysis of Triangle Relations Attack in Social Recommender Systems.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
Structural and microstructural neuroimaging for diagnosis and tracking of neurodegenerative diseases. (Neuroimagerie structurel et microstructurel pour le diagnostic et le suivi de maladies neurodegeneratives).
PhD thesis, 2019

Fundus Image Classification Using VGG-19 Architecture with PCA and SVD.
Symmetry, 2019

Energy-Efficient Patching Strategy for Wireless Sensor Networks.
Sensors, 2019

A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation Analysis.
Secur. Commun. Networks, 2019

Using fine-tuned conditional probabilities for data transformation of nominal attributes.
Pattern Recognit. Lett., 2019

From Reputation Perspective: A Hybrid Matrix Factorization for QoS Prediction in Location-Aware Mobile Service Recommendation System.
Mob. Inf. Syst., 2019

Fused Collaborative Filtering With User Preference, Geographical and Social Influence for Point of Interest Recommendation.
Int. J. Web Serv. Res., 2019

一种基于领域信任及不信任的奇异值分解推荐算法 (Recommendation Algorithm with Field Trust and Distrust Based on SVD).
计算机科学, 2019

光照度聚类和支持向量机在路灯节能控制策略中的应用 (Application of Illumination Clustering and SVM in Energy-saving Control Strategy of Street Lamps).
计算机科学, 2019

A semi-supervised approach of graph-based with local and global consistency.
Int. J. Inf. Technol. Manag., 2019

A trust-based evaluation model for data privacy protection in cloud computing.
Int. J. High Perform. Comput. Netw., 2019

A dynamic cloud service selection model based on trust and SLA in cloud computing.
Int. J. Grid Util. Comput., 2019

From similarity perspective: a robust collaborative filtering approach for service recommendations.
Frontiers Comput. Sci., 2019

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation.
CoRR, 2019

A Cloud Service Selection Method Based on Trust and User Preference Clustering.
IEEE Access, 2019

Channel Attention Networks for Image Translation.
IEEE Access, 2019

Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition.
IEEE Access, 2019

Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature.
Proceedings of the 2019 IEEE SmartWorld, 2019

A Minimax Game for Generative and Discriminative Sample Models for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Personalized POI recommendation based on check-in data and geographical-regional influence.
Proceedings of the 3rd International Conference on Machine Learning and Soft Computing, 2019

A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018
A Point-of-Interest recommendation method using user similarity.
Web Intell., 2018

Defending against the Advanced Persistent Threat: An Optimal Control Approach.
Secur. Commun. Networks, 2018

Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition.
Pattern Recognit., 2018

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
NeuroImage, 2018

基于用户聚类和移动上下文的矩阵分解推荐算法研究 (Study on Matrix Factorization Recommendation Algorithm Based on User Clustering and Mobile Context).
计算机科学, 2018

融合矩阵分解与距离度量学习的社会化推荐算法 (Social Recommendation Method Integrating Matrix Factorization and Distance Metric Learning).
计算机科学, 2018

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface.
Frontiers Neuroinformatics, 2018

Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease.
CoRR, 2018

Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data.
CoRR, 2018

Time-Aware QoS Prediction for Cloud Service Recommendation Based on Matrix Factorization.
IEEE Access, 2018

A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Defending Against Advanced Persistent Threat: A Risk Management Perspective.
Proceedings of the Science of Cyber Security - First International Conference, 2018

Deep Convolutional Neural Networks with Random Subspace Learning for Short-term Traffic Flow Prediction with Incomplete Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Predicting Traffic Flow via Ensemble Deep Convolutional Neural Networks with Spatio-temporal Joint Relations.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Meta-path Based Heterogeneous Graph Embedding for Music Recommendation.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds.
IEEE Trans. Parallel Distributed Syst., 2017

A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side.
IEEE Trans. Netw. Serv. Manag., 2017

An Operational Planning Framework for Large-Scale Thermostatically Controlled Load Dispatch.
IEEE Trans. Ind. Informatics, 2017

Exploring the Influence of Contexts for Mobile Recommendation.
Int. J. Web Serv. Res., 2017

The Performance of Location Aware Shilling Attacks in Web Service Recommendation.
Int. J. Web Serv. Res., 2017

A framework of mining semantic-based probabilistic event relations for complex activity recognition.
Inf. Sci., 2017

Defend against advanced persistent threats: An optimal control approach.
CoRR, 2017

Social recommendation using Euclidean embedding.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Point-of-Interest Recommendation Method Using Location Similarity.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

A Location and Reputation Aware Matrix Factorization Approach for Personalized Quality of Service Prediction.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

PUD: Social Spammer Detection Based on PU Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

2016
基于社交网络用户信任度的混合推荐算法研究 (Hybrid Recommendation Algorithm Based on User's Trust in Social Networks).
计算机科学, 2016

基于情境相似度和二次聚类的协同过滤推荐算法 (Collaborative Filtering Recommendation Algorithm Based on Context Similarity and Twice Clustering).
计算机科学, 2016

基于用户签到和地理属性的个性化位置推荐算法研究 (Personalized Location Recommendation Algorithm Research Based on User Check-ins and Geographical Properties).
计算机科学, 2016

SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems.
Neurocomputing, 2016

Semi-supervised learning combining transductive support vector machine with active learning.
Neurocomputing, 2016

Data Driven Development Trend Analysis of Mainstream Information Technologies.
Proceedings of the 9th International Conference on Service Science, 2016

LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Design Method and Information Representation for Computer Aided Welding Fixture Design.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016

A Restaurant Recommender System Based on User Preference and Location in Mobile Environment.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016

Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems.
Proceedings of the IEEE International Conference on Web Services, 2016

Robust Social Recommendation Techniques: A Review.
Proceedings of the Socially Aware Organisations and Technologies. Impact and Challenges, 2016

Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

2015
Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning.
J. Intell. Inf. Syst., 2015

Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis.
IEICE Trans. Inf. Syst., 2015

A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization.
Proceedings of the Knowledge Science, Engineering and Management, 2015

2014
Semi-supervised learning combining co-training with active learning.
Expert Syst. Appl., 2014

Detection of abnormal profiles on group attacks in recommender systems.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Attack detection in recommender systems based on target item analysis.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Hybrid Trust Degree Model in Social Network for Recommender System.
Proceedings of the IIAI 3rd International Congress on Advanced Applied Informatics, 2014

2013
S2Net: A New Service Description Model based on Heterogeneous Service Network.
J. Softw., 2013

Multilevel redundancy allocation using two dimensional arrays encoding and hybrid genetic algorithm.
Comput. Ind. Eng., 2013

RNRank: Network-Based Ranking on Relational Tuples.
Proceedings of the Behavior and Social Computing, 2013

Proposal of Seam Degree and Content Similarity for Web Page Segmentation.
Proceedings of the 2013 Second IIAI International Conference on Advanced Applied Informatics, 2013

2012
Multi-objective Service Monitoring Rate Optimization using Memetic Algorithm.
J. Softw., 2012

Semi-Supervised Learning: Exploiting Unlabeled Data with Symmetrical Distribution and High confidence.
Int. J. Pattern Recognit. Artif. Intell., 2012

Extraction of Relevant Snippets from Web Pages Using Hybrid Features.
Proceedings of the IIAI International Conference on Advanced Applied Informatics, 2012

2011
An Approach of Authentication Base on Modified Digital Identity Metasystem in Service-Oriented Architecture.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

Monitoring Resources Allocation for Service Composition Under Different Monitoring Mechanisms.
Proceedings of the International Conference on Complex, 2011

2006
Clustering Algorithm Research Based on Self-organizing Feature Maps Networks.
Int. J. Pattern Recognit. Artif. Intell., 2006

2005
A Novel Clustering Algorithm Based upon a SOFM Neural Network Family.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Algebraic reconstruction technique in image reconstruction with narrow fan-beam.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005


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