Jing Ren

Orcid: 0000-0003-0169-1491

Affiliations:

Federation University Australia, School of Engineering, IT and Physical Sciences, Ballarat, VIC, Australia
Dalian University of Technology, School of Software, Dalian, China

According to our database¹, Jing Ren authored at least 33 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia.

[BibT_eX]

[DOI]

CoRR, September, 2025

Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks.

[BibT_eX]

[DOI]

CoRR, September, 2025

Graph Learning.

[BibT_eX]

[DOI]

Feng Xia

Ciyuan Peng

Jing Ren

Falih Gozi Febrinanto

CoRR, July, 2025

BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization.

[BibT_eX]

[DOI]

CoRR, June, 2025

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, May, 2025

EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer's Disease Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., August, 2024

2023

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, May, 2023

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2023

2022

Deep Graph Learning for Anomalous Citation Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Graph Learning for Fake Review Detection.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges.

[BibT_eX]

[DOI]

CoRR, 2022

The significance and impact of winning an academic award: a study of early career academics.

[BibT_eX]

[DOI]

Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

2021

Matching Algorithms: Fundamentals, Applications and Challenges.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Venue Topic Model-enhanced Joint Graph Modelling for Citation Recommendation in Scholarly Big Data.

[BibT_eX]

[DOI]

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

A Computational Complexity-Based Method for Predicting Scholars' Ages through Articles' Information.

[BibT_eX]

[DOI]

Complex., 2021

Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution.

[BibT_eX]

[DOI]

Big Data Res., 2021

Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks.

[BibT_eX]

[DOI]

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Deep Video Anomaly Detection: Opportunities and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 2021 International Conference on Data Mining, 2021

Cross Network Representation Matching with Outliers.

[BibT_eX]

[DOI]

Mingliang Hou