Junhao Wen

Junhao Wen, Wei Zhou, Fengji Luo, 2018, 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

Fundus Image Classification Using VGG-19 Architecture with PCA and SVD

Junhao Wen, Sun Song, Muhammad Mateen, 2018, Symmetry.

A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance

Qi Zhang, Junhao Wen, Yi Zhang, 2019, ICONIP.

Semi-supervised learning combining co-training with active learning

Yihao Zhang, Junhao Wen, Xibin Wang, 2014, Expert Syst. Appl..

Ling Liu, Junhao Wen, Qi Zhang, 2019, 计算机科学.

Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning

Yihao Zhang, Junhao Wen, Xibin Wang, 2013, Journal of Intelligent Information Systems.

Semi-Supervised Learning: Exploiting Unlabeled Data with Symmetrical Distribution and High confidence

Yihao Zhang, Junhao Wen, Zhuo Jiang, 2012, Int. J. Pattern Recognit. Artif. Intell..

A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention

Junhao Wen, Jun Zeng, Xin He, 2019, CollaborateCom.

A SOA-Based Service Discovery Framework in Internet of Things

Wei Zhou, Junhao Wen, Peng Li, 2011 .

A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side

Junhao Wen, Zhao Yang Dong, Min Gao, 2017, IEEE Transactions on Network and Service Management.

A semi-supervised approach of graph-based with local and global consistency

Junhao Wen, Changpeng Zhu, Zhi Liu, 2019 .

A personalized electricity tariff recommender system based on advanced metering infrastructure and collaborative filtering

Junhao Wen, Jiajia Yang, Gianluca Ranzi, 2019 .

PUD: Social Spammer Detection Based on PU Learning

Junhao Wen, Qingyu Xiong, Min Gao, 2017, ICONIP.

Personalized POI recommendation based on check-in data and geographical-regional influence

Junhao Wen, Chuang Song, Shun Li, 2019, ICMLSC 2019.

Attack detection in recommender systems based on target item analysis

Gillian Dobbie, Junhao Wen, Wei Zhou, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Multi-objective Service Monitoring Rate Optimization using Memetic Algorithm

Peng Li, Junhao Wen, Pan He, 2012, J. Softw..

Robustness Analysis of Triangle Relations Attack in Social Recommender Systems

Jia Wang, Junhao Wen, Min Gao, 2020, 2020 IEEE 13th International Conference on Cloud Computing (CLOUD).

A Point-of-Interest recommendation method using user similarity

Xin He, Junhao Wen, Wei Zhou, 2018, Web Intell..

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2018, Neuroinformatics.

Proposal of Seam Degree and Content Similarity for Web Page Segmentation

Junhao Wen, Jun Zeng, Sachio Hirokawa, 2013, 2013 Second IIAI International Conference on Advanced Applied Informatics.

Defending against the Advanced Persistent Threat: An Optimal Control Approach

Yuan Yan Tang, Junhao Wen, Xiaofan Yang, 2018, Secur. Commun. Networks.

Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems

Xiang Li, Junhao Wen, Wenge Rong, 2016, 2016 IEEE International Conference on Web Services (ICWS).

PA-Cache: Evolving Learning-Based Popularity- Aware Content Caching in Edge Networks

Junhao Wen, Xiuhua Li, Kai Wang, 2020, IEEE Transactions on Network and Service Management.

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

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2018, NeuroImage.

Blockchain-based Intelligent Hospital Security and Data Privacy Construction

Junhao Wen, Hui Zhao, Qiuzi Huang, 2019, Journal of Physics: Conference Series.

Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective pdf

Junhao Wen, Jundong Li, Min Gao, 2020, Inf. Sci..

Sales Growth Rate Forecasting Using Improved PSO and SVM

Junhao Wen, Jun Zeng, Shafiq Alam, 2014 .

Monitoring Resources Allocation for Service Composition Under Different Monitoring Mechanisms

Jie Xu, Junhao Wen, Pan He, 2011, 2011 International Conference on Complex, Intelligent, and Software Intensive Systems.

S2Net: A New Service Description Model based on Heterogeneous Service Network

Peng Li, Junhao Wen, Junping Dong, 2013, J. Softw..

Web Service Selection Mechanism with QoS and Trust Management

Junhao Wen, Mingwen Qin, Guoli Zhou, 2011 .

Algebraic reconstruction technique in image reconstruction with narrow fan-beam

Junhao Wen, Yu Wu, Zhong Qu, 2005, 2005 IEEE International Conference on Granular Computing.

Social recommendation using Euclidean embedding

Junhao Wen, Wenge Rong, Qingyu Xiong, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Web Service Ranking Functions based on Network Linkage Analysis

Junhao Wen, Peng Li, Ruifeng Zhao, 2013 .

A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation Analysis

Junhao Wen, Wei Zhou, Xibin Wang, 2019, Secur. Commun. Networks.

Services Recommendation System based on Heterogeneous Network Analysis in Cloud Computing

Junhao Wen, Qingyu Xiong, Peng Li, 2014 .

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2018, Front. Neuroinform..

A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems

Ling Liu, Junhao Wen, Wei Zhou, 2015, KSEM.

Abnormal Profiles Detection Based on Time Series and Target Item Analysis for Recommender Systems

Wei Zhou, Junhao Wen, Peng Li, 2015 .

On the Optimal Dynamic Control Strategy of Disruptive Computer Virus

Yuan Yan Tang, Junhao Wen, Jichao Bi, 2017 .

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)

Junhao Wen, Jun Zeng, Xibin Wang, 2019, 计算机科学.

Beware of feature selection bias! Example on Alzheimer's disease classification from diffusion MRI

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2019 .

A Restaurant Recommender System Based on User Preference and Location in Mobile Environment

Feng Li, Junhao Wen, Jun Zeng, 2016, 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Multi-objective Service Pool Size Allocation using Memetic Algorithm

Junhao Wen, Pan He, Haijun Ren, 2012 .

MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows

MengChu Zhou, Quanwang Wu, Yunni Xia, 2020, IEEE Transactions on Automation Science and Engineering.

Junhao Wen, Bo He, Yuanpeng Hu, 2016, 计算机科学.

Hybrid attacks on model-based social recommender systems

Junhao Wen, Wenge Rong, Qingyu Xiong, 2017 .

The research of the human physiological signs data monitoring system based on big data

Junhao Wen, Jin Xiao, 2017, 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS).

Robustness analysis of location aware collaborative filtering for web service recommendation

Xiang Li, Junhao Wen, Wenge Rong, 2016, IoT 2016.

Detection of abnormal profiles on group attacks in recommender systems

Gillian Dobbie, Junhao Wen, Wei Zhou, 2014, SIGIR.

RNRank: Network-Based Ranking on Relational Tuples

Peng Li, Junhao Wen, Ling Chen, 2013, BSI@PAKDD/BSIC@IJCAI.

Reproducible evaluation of classification methods in Alzheimer’s disease: framework and application to MRI and PET data

Ninon Burgos, Junhao Wen, Stanley Durrleman, 2018, bioRxiv.

Improving deep‐learning‐based fault localization with resampling

Junhao Wen, Xiaoguang Mao, Yan Lei, 2020, J. Softw. Evol. Process..

Channel Attention Networks for Image Translation

Junhao Wen, Bo Zhao, Xin Chen, 2019, IEEE Access.

Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series

Ling Liu, Junhao Wen, Tian Chen, 2016, CollaborateCom.

Deep Convolutional Neural Networks with Random Subspace Learning for Short-term Traffic Flow Prediction with Incomplete Data

Junhao Wen, Jing Chen, Qingyu Xiong, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition

Shu Wang, David S. Rosenblum, Junhao Wen, 2018, Pattern Recognit..

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

Junhao Wen, Wei Zhou, Jun Zeng, 2016, Neurocomputing.

Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective pdf

Junhao Wen, Jundong Li, Qingyu Xiong, 2020, Inf. Sci..

Endpoint Communication Contention-Aware Cloud Workflow Scheduling

MengChu Zhou, Quanwang Wu, Junhao Wen, 2022, IEEE Transactions on Automation Science and Engineering.

Manipulating Black-Box Networks for Centrality Promotion

Junhao Wen, Wenge Rong, Lu Qin, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

DCT: A Deep Collaborative Filtering Approach Based on Content-Text Fused for Recommender Systems

Junhao Wen, Jianing Zhou, Zhiqiao Zhang, 2020, CollaborateCom.

An evaluation approach based on word-of-mouth for trust models in recommendation systems

Junhao Wen, Qingyu Xiong, Hui Xia, 2014 .

Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems

Junhao Wen, Qingyu Xiong, Min Gao, 2015, PloS one.