Dongjing Wang

Orcid: 0000-0003-2152-0446

According to our database1, Dongjing Wang authored at least 56 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Category-aware self-supervised graph neural network for session-based recommendation.
World Wide Web (WWW), September, 2024

LGAFormer: transformer with local and global attention for action detection.
J. Supercomput., August, 2024

MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games.
ACM Trans. Intell. Syst. Technol., August, 2024

Temporal Diversity-Aware Micro-Video Recommendation with Long- and Short-Term Interests Modeling.
Neural Process. Lett., June, 2024

FMGDN: Flexible Multi-Grained Dilation Network Empowered Multimedia Image Inpainting for Electronic Consumer.
IEEE Trans. Consumer Electron., May, 2024

Long tail service recommendation based on cross-view and contrastive learning.
Expert Syst. Appl., March, 2024

Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation.
ACM Trans. Inf. Syst., January, 2024

Iterative framework based on multi-task learning for service recommendation.
J. Syst. Softw., January, 2024

Siamese learning based on graph differential equation for Next-POI recommendation.
Appl. Soft Comput., January, 2024

Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction.
Expert Syst. Appl., 2024

A gradual self distillation network with adaptive channel attention for facial expression recognition.
Appl. Soft Comput., 2024

App Recommendation Model Based on Heterogeneous Graph Collaborative Filtering.
Proceedings of the International Joint Conference on Neural Networks, 2024

Providing Sustainable Unmanned Facial Detection and Recognition Service on Edge.
Proceedings of the IEEE International Conference on Web Services, 2024

Tag-Aware Recommendation Based on Attention Mechanism and Disentangled Graph Neural Network.
Proceedings of the Web Engineering - 24th International Conference, 2024

Sequential Recommendation with Temporal Influence Based on Hawkes Process.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation.
Neurocomputing, November, 2023

MCMNET: Multi-Scale Context Modeling Network for Temporal Action Detection.
Sensors, September, 2023

Context-and category-aware double self-attention model for next POI recommendation.
Appl. Intell., August, 2023

Skeleton-based action recognition with multi-stream, multi-scale dilated spatial-temporal graph convolution network.
Appl. Intell., July, 2023

Web service recommendation for mashup creation based on graph network.
J. Supercomput., May, 2023

Incorporating Multivariate Auxiliary Information for Traffic Prediction on Highways.
Sensors, April, 2023

MTSCANet: Multi temporal resolution temporal semantic context aggregation network.
IET Comput. Vis., April, 2023

Joint Content Caching and Recommendation in Opportunistic Mobile Networks Through Deep Reinforcement Learning and Broad Learning.
IEEE Trans. Serv. Comput., 2023

Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition.
Sensors, 2023

2022
NGPR: A comprehensive personalized point-of-interest recommendation method based on heterogeneous graphs.
Multim. Tools Appl., November, 2022

A multi-level feature integration network for image inpainting.
Multim. Tools Appl., November, 2022

Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation.
IEEE Trans. Multim., 2022

Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention.
IEEE Trans. Cybern., 2022

Energy-effective artificial internet-of-things application deployment in edge-cloud systems.
Peer-to-Peer Netw. Appl., 2022

Gated three-tower transformer for text-driven stock market prediction.
Multim. Tools Appl., 2022

Robust and Cost-effective Resource Allocation for Complex IoT Applications in Edge-Cloud Collaboration.
Mob. Networks Appl., 2022

DSIM: dynamic and static interest mining for sequential recommendation.
Knowl. Inf. Syst., 2022

Graph-Based Attentive Sequential Model With Metadata for Music Recommendation.
IEEE Access, 2022

2021
Attentive sequential model based on graph neural network for next poi recommendation.
World Wide Web, 2021

CAME: Content- and Context-Aware Music Embedding for Recommendation.
IEEE Trans. Neural Networks Learn. Syst., 2021

Leveraging contextual influence and user preferences for point-of-interest recommendation.
Multim. Tools Appl., 2021

TLSAN: Time-aware long- and short-term attention network for next-item recommendation.
Neurocomputing, 2021

Time-aware sequence model for next-item recommendation.
Appl. Intell., 2021

Energy-effective IoT Services in Balanced Edge-Cloud Collaboration Systems.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Context-aware Artificial Internet-of-Things Application Deployment in Edge-Cloud Systems.
Proceedings of the IEEE International Conference on Services Computing, 2021

2020
Citation Count Prediction Based on Neural Hawkes Model.
IEICE Trans. Inf. Syst., 2020

A fast filter enhancement method for the infrared image.
Proceedings of the RICAI 2020: 2nd International Conference on Robotics, 2020

Activate Cost-Effective Mobile Crowd Sensing with Multi-access Edge Computing.
Proceedings of the Communications and Networking, 2020

2019
Point-of-Interest Recommendation Based on User Contextual Behavior Semantics.
Int. J. Softw. Eng. Knowl. Eng., 2019

Hierarchical Topic Modeling of Twitter Data for Online Analytical Processing.
IEEE Access, 2019

Modeling User Contextual Behavior Semantics with Geographical Influence for Point-Of-Interest Recommendation.
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Characterization and Prediction of Popular Projects on GitHub.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
Learning to embed music and metadata for context-aware music recommendation.
World Wide Web, 2018

Sequence-based context-aware music recommendation.
Inf. Retr. J., 2018

2017
A Recommendation System to Facilitate Business Process Modeling.
IEEE Trans. Cybern., 2017

Music recommendation via heterogeneous information graph embedding.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Improving Music Recommendation Using Distributed Representation.
Proceedings of the 25th International Conference on World Wide Web, 2016

GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Learning Music Embedding with Metadata for Context Aware Recommendation.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

2015
Exploring user emotion in microblogs for music recommendation.
Expert Syst. Appl., 2015

2012
Graph-based workflow recommendation: on improving business process modeling.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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