Jia Liu

Orcid: 0000-0002-2910-3447

Affiliations:
  • Southwest Jiaotong University, School of Computing and Artificial Intelligence, Sichuan, China
  • Xihua University, School of Computer and Software Engineering, Chengdu, China (former)


According to our database1, Jia Liu authored at least 43 papers between 2016 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning.
Int. J. Comput. Intell. Syst., December, 2025

ODMGIS: An Outlier Detection Method Based on Multigranularity Information Sets.
IEEE Trans. Fuzzy Syst., July, 2025

A Federated Framework for Air Quality Prediction With Predefined Graph and Adaptive Graph.
IEEE Internet Things J., July, 2025

Completion of irregular emotion sequence based on users' social relationships and historical emotions.
Int. J. Parallel Emergent Distributed Syst., May, 2025

Big data fusion with knowledge graph: a comprehensive overview.
Appl. Intell., May, 2025

Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

DGN: influence maximization based on deep reinforcement learning.
J. Supercomput., January, 2025

A dual-branch federated graph learning model with global graph structure information.
Knowl. Based Syst., 2025

Few-shot cyberviolence intent classification with Meta-learning AutoEncoder based on adversarial domain adaptation.
Neurocomputing, 2025

Individual neighbor aware sentiment prediction approach based on irregular time series.
Expert Syst. Appl., 2025

Does user interest matter? Exploring the impact of ignoring user interests in recommendations.
Expert Syst. Appl., 2025

Surrounding and context-aware network for individual emotion complement in social networks.
Appl. Soft Comput., 2025

2024
FedDAF: Federated deep attention fusion for dangerous driving behavior detection.
Inf. Fusion, 2024

Multimodal federated learning: Concept, methods, applications and future directions.
Inf. Fusion, 2024

Label-text bi-attention capsule networks model for multi-label text classification.
Neurocomputing, 2024

Few-shot multi-domain text intent classification with Dynamic Balance Domain Adaptation Meta-learning.
Expert Syst. Appl., 2024

Few-shot intent detection with mutual information and contrastive learning.
Appl. Soft Comput., 2024

A Negative Sample Enhancement Strategy to Improve Contrastive Learning for Unsupervised Sentence Representation.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Dual adversarial network with meta-learning for domain-generalized few-shot text classification.
Appl. Soft Comput., October, 2023

SLAFusion: Attention fusion based on SAX and LSTM for dangerous driving behavior detection.
Inf. Sci., September, 2023

Constructing better prototype generators with 3D CNNs for few-shot text classification.
Expert Syst. Appl., September, 2023

FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning.
IEEE Trans. Big Data, June, 2023

Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023

FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework.
IEEE Trans. Knowl. Data Eng., April, 2023

A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering.
IEEE Trans. Big Data, February, 2023

Anomaly detection based on weighted fuzzy-rough density.
Appl. Soft Comput., February, 2023

Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng., 2023

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization.
ACM Trans. Knowl. Discov. Data, 2023

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures.
IEEE Trans. Cybern., 2023

2022
Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection.
Inf. Sci., 2022

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.
Inf. Fusion, 2022

2021
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability.
Inf. Fusion, 2021

Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection.
Fuzzy Sets Syst., 2021

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions.
Appl. Soft Comput., 2021

2020
Urban flow prediction from spatiotemporal data using machine learning: A survey.
Inf. Fusion, 2020

Urban big data fusion based on deep learning: An overview.
Inf. Fusion, 2020

Detecting and Evolving Microblog Community Based on Structure and Gravity Cohesion.
IEEE Access, 2020

2019
Urban flows prediction from spatial-temporal data using machine learning: A survey.
CoRR, 2019

Network Energy: A New Energy of A Graph.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2018
Social community evolution by combining gravitational relationship with community structure.
Intell. Data Anal., 2018

2017
Micro-blog User Community Detection by Focusing on Micro-blog Content and Community Structure.
Proceedings of the Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence, 2017

A CWTM Model of Topic Extraction for Short Text.
Proceedings of the Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence, 2017

2016
A Novel Approach of Identifying User Intents in Microblog.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016


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