Junhao Wen

Orcid: 0000-0002-6561-560X

Affiliations:
  • Chongqing University, Chongqing, China


According to our database1, Junhao Wen authored at least 143 papers between 2005 and 2025.

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Bibliography

2025
Explainable next POI recommendation based on spatial-temporal disentanglement representation and pseudo profile generation.
Knowl. Based Syst., 2025

Global and local hypergraph learning method with semantic enhancement for POI recommendation.
Inf. Process. Manag., 2025

Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation.
Expert Syst. Appl., 2025

2024
A Communication Contention-Cognizant Scheduling Approach for Workflow Execution Across Public and Private Clouds.
IEEE Trans Autom. Sci. Eng., October, 2024

Multiple hypergraph convolutional network social recommendation using dual contrastive learning.
Data Min. Knowl. Discov., July, 2024

A Communication-Contention-Aware Privacy-Preserving Workflow Scheduling Method for Geo-Distributed Datacenters.
IEEE Trans. Serv. Comput., 2024

Enhancing Disentanglement of Popularity Bias for Recommendation With Triplet Contrastive Learning.
IEEE Trans. Serv. Comput., 2024

Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic.
IEEE Trans. Netw. Sci. Eng., 2024

CBRec: A causal way balancing multidimensional attraction effect in POI recommendations.
Knowl. Based Syst., 2024

DSDRec: Next POI recommendation using deep semantic extraction and diffusion model.
Inf. Sci., 2024

SFL: A semantic-based federated learning method for POI recommendation.
Inf. Sci., 2024

SCFL: Spatio-temporal consistency federated learning for next POI recommendation.
Inf. Process. Manag., 2024

GTPAN: Global Target Preference Attention Network for session-based recommendation.
Expert Syst. Appl., 2024

LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation.
CoRR, 2024

Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Research on Collaborative Innovation Ability Training of Software Engineering Talents Based on the Industry-Education Integration.
Proceedings of the IEEE International Conference on Software Services Engineering, 2024

2023
LAGAM: A Length-Adaptive Genetic Algorithm With Markov Blanket for High-Dimensional Feature Selection in Classification.
IEEE Trans. Cybern., November, 2023

An early warning method for abnormal behavior of college students based on multimodal fusion and improved decision tree.
J. Intell. Fuzzy Syst., November, 2023

Noise-reducing graph neural network with intent-target co-action for session-based recommendation.
Inf. Process. Manag., November, 2023

Point-of-interest Recommendation using Deep Semantic Model.
Expert Syst. Appl., November, 2023

Deep adaptive collaborative graph neural network for social recommendation.
Expert Syst. Appl., November, 2023

Feature-based POI grouping with transformer for next point of interest recommendation.
Appl. Soft Comput., November, 2023

Enhanced contrastive learning with multi-aspect information for recommender systems.
Knowl. Based Syst., October, 2023

LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness.
Expert Syst. Appl., October, 2023

IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation.
Expert Syst. Appl., October, 2023

A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection.
IEEE CAA J. Autom. Sinica, September, 2023

The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches.
ACM Trans. Softw. Eng. Methodol., July, 2023

Generalized Divergence-Based Decision Making Method With an Application to Pattern Classification.
IEEE Trans. Knowl. Data Eng., July, 2023

Enhancing sequential recommendation with contrastive Generative Adversarial Network.
Inf. Process. Manag., May, 2023

Meta-prompt based learning for low-resource false information detection.
Inf. Process. Manag., May, 2023

Meta-relation assisted knowledge-aware coupled graph neural network for recommendation.
Inf. Process. Manag., May, 2023

Neu-PCM: Neural-based potential correlation mining for POI recommendation.
Appl. Intell., May, 2023

Self-paced multi-label co-training.
Inf. Sci., April, 2023

Multi-perspective enhanced representation for effective session-based recommendation.
Knowl. Based Syst., March, 2023

Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks.
IEEE J. Sel. Areas Commun., March, 2023

Multi-views contrastive learning for dense text retrieval.
Knowl. Based Syst., 2023

LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network.
Inf. Sci., 2023

Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems.
Intell. Data Anal., 2023

Personalized Dynamic Attention Multi-task Learning model for document retrieval and query generation.
Expert Syst. Appl., 2023

DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation.
Proceedings of the IEEE International Conference on Web Services, 2023

Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., December, 2022

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

Deep Learning Approach for Automatic Microaneurysms Detection.
Sensors, 2022

Multi-User QoE Enhancement: Federated Multi-Agent Reinforcement Learning for Cooperative Edge Intelligence.
IEEE Netw., 2022

A General Matrix Factorization Framework for Recommender Systems in Multi-access Edge Computing Network.
Mob. Networks Appl., 2022

Individual Diversity Preference Aware Neural Collaborative Filtering.
Knowl. Based Syst., 2022

A service composition method using improved hybrid teaching learning optimization algorithm in cloud manufacturing.
J. Cloud Comput., 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

Multi-interaction fusion collaborative filtering for social recommendation.
Expert Syst. Appl., 2022

BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model.
EURASIP J. Wirel. Commun. Netw., 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

Interest-Aware Contrastive-Learning-Based GCN for Recommendation.
IEEE Access, 2022

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

Leveraging GCN and User Friendship for Next POI Recommendation.
Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022

Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions.
Proceedings of the International Joint Conference on Neural Networks, 2022

Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2022

High-dimensional Feature Selection in Classification: A Length-Adaptive Evolutionary Approach.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

A Flow Prediction Model of Bike-Sharing Based on Cycling Context.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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
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
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 Conference on Advanced Applied Informatics, 2014

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

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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