Jiwei Qin

According to our database, Jiwei Qin authored at least 71 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MTSMNet: a multi-scale trend-seasonal mixing network for long-term time series forecasting.

Ruofan Feng, Jiwei Qin, Dezhi Sun, Weilin Tang, Xizhong Qin

Multim. Syst., October, 2025

Learning economically for Chinese word segmentation: tuning pretrained model via active learning and N-gram preference.

Zhiyuan Ma, Jiwei Qin, Song Tang, Jinpeng Mi, Dan Liu

Neural Comput. Appl., July, 2025

ECLNet: enhancing the CNN-LSTM networks for multivariate long-term time series forecasting.

Jiachen Xie, Jiwei Qin, Xizhong Qin, Qiang Li, Daishun Cui, Dezhi Sun

Appl. Intell., July, 2025

FARec: frequency domain enhanced filter for sequential recommendation.

Zhibin Yang, Jiwei Qin, Jie Ma, Donghao Zhang

Computing, May, 2025

Sharpening semantic gradient in a planarized sentence representation.

Caiwei Yang, Yanping Chen, Shuai Yu, Bo Dong, Jiwei Qin

Neural Networks, 2025

MRLCD-A: Lag-aware alignment for multivariate time series forecasting in multiple scenarios.

Dezhi Sun, Jiwei Qin, Zihao Zhang, Xizhong Qin, Huiguo Zhang

Inf. Process. Manag., 2025

JGC-IAGCL: Fusing joint graph convolution and intent-aware graph contrastive learning for explainable recommendation.

Zhi Yang, Chuan Lin, Yongbin Qin, Ruizhang Huang, Yanping Chen, Jiwei Qin

Inf. Fusion, 2025

TOEformer: Temporal order enhanced Transformer for time series forecasting.

Qiang Li, Jiwei Qin, Dacheng Wang, Xizhong Qin, Daishun Cui, Jiachen Xie, Dezhi Sun

Eng. Appl. Artif. Intell., 2025

A novel Koopman-based Assistant Features Network for long and short-term carbon emission prediction.

Daishun Cui, Jiwei Qin, Dezhi Sun, Xizhong Qin, Fei Shi

Eng. Appl. Artif. Intell., 2025

WE-LSTM: Multi-Wavelet Enhanced Seasonal-Trend Denoising for Long-Term Time Series Forecasting.

Zhiwei Zhang, Jiwei Qin, Dezhi Sun, Xuefeng Feng, Huiguo Zhang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

ECDformer: Enhanced Channel-Dependent Transformer for Multivariate Time Series Forecasting.

Weilin Tang, Jiwei Qin, Dezhi Sun, Ruofan Feng, Luwen Xu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

E-RNS : Enhancing Negative Sample Quality from Gradient Perspective for Graph Recommendation.

Qiangsheng Feng, Jiwei Qin, Jie Ma

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MFDPonzi: Detecting Ethereum Ponzi Schemes Using Static Features from Novel Opcode Sequences.

Longwei Cao, Jiwei Qin, Xuzi Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Degree-aware embedding-based multi-correlated graph convolutional collaborative filtering.

Chao Ma, Jiwei Qin, Tao Wang, Aohua Gao

J. Supercomput., December, 2024

CMMamba: channel mixing Mamba for time series forecasting.

Qiang Li, Jiwei Qin, Daishun Cui, Dezhi Sun, Dacheng Wang

J. Big Data, December, 2024

Knowledge filter contrastive learning for recommendation.

Boshen Xia, Jiwei Qin, Lu Han, Aohua Gao, Chao Ma

Knowl. Inf. Syst., November, 2024

Item attributes fusion based on contrastive learning for sequential recommendation.

Donghao Zhang, Jiwei Qin, Jie Ma, Zhibin Yang, Daishun Cui, Peichen Ji

Multim. Syst., October, 2024

Residual Graph Convolution Collaborative Filtering with Asymmetric neighborhood aggregation.

Tao Wang, Jiwei Qin, Chao Ma

Neural Comput. Appl., August, 2024

PEB-TAXO: Projecting Entities as Boxes for Taxonomy Expansion.

Yuhang Zhang, Jiwei Qin, Chongren Feng

Neural Process. Lett., April, 2024

BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation.

Aohua Gao, Jiwei Qin, Chao Ma, Tao Wang

J. Intell. Inf. Syst., April, 2024

Multimodal recommendation algorithm based on Dempster-Shafer evidence theory.

Xiaole Wang, Jiwei Qin

Multim. Tools Appl., March, 2024

EP-BoxE: A method for hypernym discovery based on extended patterns and box embeddings.

Chongren Feng, Jiwei Qin, Yuhang Zhang

J. Intell. Fuzzy Syst., March, 2024

A Phishing Account Detection Model via Network Embedding for Ethereum.

Jintao Luo, Jiwei Qin, Ruijin Wang, Lu Li

IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

Adaptive Frequency Domain Data Augmentation for Sequential Recommendation.

Zhibin Yang, Jiwei Qin, Donghao Zhang, Jie Ma, Peichen Ji

IEEE Access, 2024

PFformer: A Time-Series Forecasting Model for Short-Term Precipitation Forecasting.

Luwen Xu, Jiwei Qin, Dezhi Sun, Yuanyuan Liao, Jiong Zheng

IEEE Access, 2024

Fusion of Personalized Implicit Relations for Social Recommendation.

Wei Qin, Jiwei Qin, Tao Wang

IEEE Access, 2024

MSFSAN: A Novel Multi-Scale Spatio-Temporal Feature Screening Attention Network for Urban Carbon Emission Prediction.

Ben Wang, Xizhong Qin, Jiwei Qin, Xiaoyu Zhang, Haodong Ma

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

LinWA:Linear Weights Attention for Time Series Forecasting.

Qiang Li, Jiwei Qin, Dezhi Sun, Fei Shi, Daishun Cui, Jiachen Xie

Proceedings of the International Joint Conference on Neural Networks, 2024

MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting.

Daishun Cui, Jiwei Qin, Fang He, Fei Shi, Qiang Li, Dezhi Sun, Jiachen Xie

Proceedings of the International Joint Conference on Neural Networks, 2024

Subgraph Collaborative Graph Contrastive Learning for Recommendation.

Jie Ma, Jiwei Qin, Peichen Ji, Zhibin Yang, Donghao Zhang, Chaoqun Liu

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.

Bingzheng Fan, Jiwei Qin

Appl. Artif. Intell., December, 2023

DTGCN: a method combining dependency tree and graph convolutional networks for Chinese long-interval named entity relationship extraction.

Taoyuan Li, Liangli Ma, Jiwei Qin, Wei Ren

J. Ambient Intell. Humaniz. Comput., October, 2023

Collaborative variational factorisation machine for recommender system.

Jiwei Qin, Honglin Dai

Int. J. Auton. Adapt. Commun. Syst., 2023

GANRec: A negative sampling model with generative adversarial network for recommendation.

Zhi Yang, Jiwei Qin, Chuan Lin, Yanping Chen, Ruizhang Huang, Yongbin Qin

Expert Syst. Appl., 2023

IGAN: A collaborative filtering model based on Improved Generative Adversarial Networks for recommendation.

Xiaoyuan Song, Jiwei Qin, Qiulin Ren, Jiong Zheng

Eng. Appl. Artif. Intell., 2023

A Scalable Byzantine Fault Tolerance Algorithm Based on a Tree Topology Network.

Wangxi Jiang, Xiaoxiong Wu, Mingyang Song, Jiwei Qin, Zhenhong Jia

IEEE Access, 2023

Degree-Aware Embedding and Interactive Feature Fusion-Based Graph Convolution Collaborative Filtering.

Chao Ma, Jiwei Qin, Aohua Gao

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

A Ranking Recommendation Algorithm Based on Dynamic User Preference.

Chunting Wei, Jiwei Qin, Qiulin Ren

Sensors, 2022

Fusing pre-trained convolutional neural networks features for multi-differentiated subtypes of liver cancer on histopathological images.

Xiaogang Dong, Min Li, Panyun Zhou, Xin Deng, Siyu Li, Xingyue Zhao, Yi Wu, Jiwei Qin, Wenjia Guo

BMC Medical Informatics Decis. Mak., 2022

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

Buchen Wu, Jiwei Qin

Entropy, 2022

Improved Fault-Tolerant Consensus Based on the PBFT Algorithm.

Jian Yang, Zhenhong Jia, Ruiguo Su, Xiaoxiong Wu, Jiwei Qin

IEEE Access, 2022

Dual Auto-Encoder Based Rating Prediction Recommendation Algorithm.

Gaowei Xin, Jiwei Qin, Xiaoyuan Song, Jiong Zheng

IEEE Access, 2022

Boosting Gas Classification with Attention-based Mechanism.

Jiwei Qin, Xiang Li, Meiqi Pan, Gaofei Liu, Zhiyuan Ma

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

CKEN: Collaborative Knowledge-Aware Enhanced Network for Recommender Systems.

Wei Zeng, Jiwei Qin, Xiaole Wang

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.

Xin Zhang, Jiwei Qin, Jiong Zheng

Symmetry, 2021

Matrix factorization completed multicontext data for tensor-enhanced recommendation.

Shangju Deng, Jiwei Qin

J. Intell. Fuzzy Syst., 2021

Graph-based recommendation by trust.

Liejun Wang, Long Pan, Jiwei Qin

Int. J. Internet Protoc. Technol., 2021

Neural Collaborative Autoencoder for Recommendation With Co-Occurrence Embedding.

Wei Zeng, Jiwei Qin, Chunting Wei

IEEE Access, 2021

DNR: A Unified Framework of List Ranking With Neural Networks for Recommendation.

Chunting Wei, Jiwei Qin, Wei Zeng

IEEE Access, 2021

2020

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

Wenchuan Shi, Liejun Wang, Jiwei Qin

Symmetry, 2020

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

Pei Ma, Liejun Wang, Jiwei Qin

Symmetry, 2020

Metric Factorization with Item Cooccurrence for Recommendation.

Honglin Dai, Liejun Wang, Jiwei Qin

Symmetry, 2020

Video encryption scheme using hybrid encryption technology.

Qingqing Han, Liejun Wang, Yongming Lee, Jiwei Qin

Int. J. Internet Protoc. Technol., 2020

An algorithm of decomposition and combinatorial optimisation based on 3-Otsu.

Liejun Wang, Junhui Wu, Jiwei Qin

Int. J. Inf. Commun. Technol., 2020

Asymmetric convolution with densely connected networks.

Liejun Wang, Huanglu Wen, Jiwei Qin, Shuli Cheng

Int. J. Comput. Sci. Math., 2020

2019

Combine availability with user preferences for efficient WSC.

Xiaofeng Han, Liejun Wang, Jiwei Qin

Web Intell., 2019

A novel deep hashing method for fast image retrieval.

Shuli Cheng, Huicheng Lai, Liejun Wang, Jiwei Qin

Vis. Comput., 2019

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

Jiwei Qin, Liangli Ma, Qing Liu

Inf., 2019

Recommender resources based on acquiring user's requirement and exploring user's preference with Word2Vec model in web service.

Jiwei Qin, Yunpeng Jiang

Int. J. Internet Protoc. Technol., 2019

Modelling of learner behaviour in massive open online video-on-demand services.

Jiwei Qin, Qinghua Zheng

Int. J. Inf. Commun. Technol., 2019

A personalised recommendation algorithm based on probabilistic neural networks.

Long Pan, Jiwei Qin, Liejun Wang

Int. J. Inf. Commun. Technol., 2019

An item recommendation model with content semantic.

Yunpeng Jiang, Liejun Wang, Jiwei Qin

Int. J. Inf. Commun. Technol., 2019

THBase: A Coprocessor-Based Scheme for Big Trajectory Data Management.

Jiwei Qin, Liangli Ma, Jinghua Niu

Future Internet, 2019

Pruning Optimization over Threshold-Based Historical Continuous Query.

Jiwei Qin, Liangli Ma, Qing Liu

Algorithms, 2019

2018

Discovery of Rare Key Phrases.

Yanping Chen, Sha Liu, Qinghua Zheng, Ruizhang Huang, Yongbin Qin, Jiwei Qin, Ping Chen

Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

2017

Super-resolution reconstruction of sparse dictionaries based on integrated feature.

Dan Li, Liejun Wang, Jiwei Qin

Proceedings of the 3rd International Conference on Communication and Information Processing, 2017

2014

An Emotion-oriented Music Recommendation Algorithm Fusing Rating and Trust.

Jiwei Qin, Qinghua Zheng, Feng Tian, Deli Zheng

Int. J. Comput. Intell. Syst., 2014

A Study of Learner-Oriented Negative Emotion Compensation in E-learning.

Jiwei Qin, Qinghua Zheng, Haifei Li

J. Educ. Technol. Soc., 2014

2011

A Trust-Personality Mechanism for Emotion Compensation.

Jiwei Qin, Qinghua Zheng, Feng Tian

Proceedings of the ICALT 2011, 2011

E-Learning oriented emotion regulation Mechanism and strategies in interactive text applications.

Feng Tian, Baicheng An, Deli Zheng, Jiwei Qin, Qinghua Zheng, Yang Yang

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.

Jiwei Qin, Qinghua Zheng, Haifei Li, Huisan Zhang

Proceedings of the Advances in Web-Based Learning - ICWL 2010, 2010