Jiwei Qin

Orcid: 0000-0001-7023-2630

According to our database1, Jiwei Qin authored at least 56 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Degree-aware embedding-based multi-correlated graph convolutional collaborative filtering.
J. Supercomput., December, 2024

CMMamba: channel mixing Mamba for time series forecasting.
J. Big Data, December, 2024

Knowledge filter contrastive learning for recommendation.
Knowl. Inf. Syst., November, 2024

Item attributes fusion based on contrastive learning for sequential recommendation.
Multim. Syst., October, 2024

Residual Graph Convolution Collaborative Filtering with Asymmetric neighborhood aggregation.
Neural Comput. Appl., August, 2024

PEB-TAXO: Projecting Entities as Boxes for Taxonomy Expansion.
Neural Process. Lett., April, 2024

BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation.
J. Intell. Inf. Syst., April, 2024

Multimodal recommendation algorithm based on Dempster-Shafer evidence theory.
Multim. Tools Appl., March, 2024

EP-BoxE: A method for hypernym discovery based on extended patterns and box embeddings.
J. Intell. Fuzzy Syst., March, 2024

A Phishing Account Detection Model via Network Embedding for Ethereum.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

PFformer: A Time-Series Forecasting Model for Short-Term Precipitation Forecasting.
IEEE Access, 2024

Fusion of Personalized Implicit Relations for Social Recommendation.
IEEE Access, 2024

LinWA:Linear Weights Attention for Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2024

MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2024

Subgraph Collaborative Graph Contrastive Learning for Recommendation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Design and Implementation of an Enterprise Credit Risk Assessment Model Based on Improved Fuzzy Neural Network.
Appl. Artif. Intell., December, 2023

DTGCN: a method combining dependency tree and graph convolutional networks for Chinese long-interval named entity relationship extraction.
J. Ambient Intell. Humaniz. Comput., October, 2023

Collaborative variational factorisation machine for recommender system.
Int. J. Auton. Adapt. Commun. Syst., 2023

GANRec: A negative sampling model with generative adversarial network for recommendation.
Expert Syst. Appl., 2023

IGAN: A collaborative filtering model based on Improved Generative Adversarial Networks for recommendation.
Eng. Appl. Artif. Intell., 2023

A Scalable Byzantine Fault Tolerance Algorithm Based on a Tree Topology Network.
IEEE Access, 2023

Degree-Aware Embedding and Interactive Feature Fusion-Based Graph Convolution Collaborative Filtering.
Proceedings of the Knowledge Science, Engineering and Management, 2023

2022
A Ranking Recommendation Algorithm Based on Dynamic User Preference.
Sensors, 2022

Fusing pre-trained convolutional neural networks features for multi-differentiated subtypes of liver cancer on histopathological images.
BMC Medical Informatics Decis. Mak., 2022

A List-Ranking Framework Based on Linear and Non-Linear Fusion for Recommendation from Implicit Feedback.
Entropy, 2022

Improved Fault-Tolerant Consensus Based on the PBFT Algorithm.
IEEE Access, 2022

Dual Auto-Encoder Based Rating Prediction Recommendation Algorithm.
IEEE Access, 2022

Boosting Gas Classification with Attention-based Mechanism.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

CKEN: Collaborative Knowledge-Aware Enhanced Network for Recommender Systems.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
A Social Recommendation Based on Metric Learning and Users' Co-Occurrence Pattern.
Symmetry, 2021

Matrix factorization completed multicontext data for tensor-enhanced recommendation.
J. Intell. Fuzzy Syst., 2021

Graph-based recommendation by trust.
Int. J. Internet Protoc. Technol., 2021

Neural Collaborative Autoencoder for Recommendation With Co-Occurrence Embedding.
IEEE Access, 2021

DNR: A Unified Framework of List Ranking With Neural Networks for Recommendation.
IEEE Access, 2021

2020
User Embedding for Rating Prediction in SVD++-Based Collaborative Filtering.
Symmetry, 2020

A Low-Rank Tensor Factorization Using Implicit Similarity in Trust Relationships.
Symmetry, 2020

Metric Factorization with Item Cooccurrence for Recommendation.
Symmetry, 2020

Video encryption scheme using hybrid encryption technology.
Int. J. Internet Protoc. Technol., 2020

An algorithm of decomposition and combinatorial optimisation based on 3-Otsu.
Int. J. Inf. Commun. Technol., 2020

Asymmetric convolution with densely connected networks.
Int. J. Comput. Sci. Math., 2020

2019
Combine availability with user preferences for efficient WSC.
Web Intell., 2019

A novel deep hashing method for fast image retrieval.
Vis. Comput., 2019

DFTHR: A Distributed Framework for Trajectory Similarity Query Based on HBase and Redis.
Inf., 2019

Recommender resources based on acquiring user's requirement and exploring user's preference with Word2Vec model in web service.
Int. J. Internet Protoc. Technol., 2019

Modelling of learner behaviour in massive open online video-on-demand services.
Int. J. Inf. Commun. Technol., 2019

A personalised recommendation algorithm based on probabilistic neural networks.
Int. J. Inf. Commun. Technol., 2019

An item recommendation model with content semantic.
Int. J. Inf. Commun. Technol., 2019

THBase: A Coprocessor-Based Scheme for Big Trajectory Data Management.
Future Internet, 2019

Pruning Optimization over Threshold-Based Historical Continuous Query.
Algorithms, 2019

2018
Discovery of Rare Key Phrases.
Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

2017
Super-resolution reconstruction of sparse dictionaries based on integrated feature.
Proceedings of the 3rd International Conference on Communication and Information Processing, 2017

2014
An Emotion-oriented Music Recommendation Algorithm Fusing Rating and Trust.
Int. J. Comput. Intell. Syst., 2014

A Study of Learner-Oriented Negative Emotion Compensation in E-learning.
J. Educ. Technol. Soc., 2014

2011
A Trust-Personality Mechanism for Emotion Compensation.
Proceedings of the ICALT 2011, 2011

E-Learning oriented emotion regulation Mechanism and strategies in interactive text applications.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2010
An Emotion Regulation Model in an E-Learning Environment.
Proceedings of the Advances in Web-Based Learning - ICWL 2010, 2010


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