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 23 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations.
CoRR, 2024

2023
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data, May, 2023

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges.
ACM Trans. Intell. Syst. Technol., April, 2023

2022
Deep Graph Learning for Anomalous Citation Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Graph Learning for Fake Review Detection.
Frontiers Artif. Intell., 2022

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges.
CoRR, 2022

The significance and impact of winning an academic award: a study of early career academics.
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.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Venue Topic Model-enhanced Joint Graph Modelling for Citation Recommendation in Scholarly Big Data.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution.
Big Data Res., 2021

Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks.
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.
Proceedings of the 2021 International Conference on Data Mining, 2021

Cross Network Representation Matching with Outliers.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
MODEL: Motif-Based Deep Feature Learning for Link Prediction.
IEEE Trans. Comput. Soc. Syst., 2020

Turing number: how far are you to A. M. Turing award?
SIGWEB Newsl., 2020

Early-stage reciprocity in sustainable scientific collaboration.
J. Informetrics, 2020

Network embedding: Taxonomies, frameworks and applications.
Comput. Sci. Rev., 2020

Web of Scholars: A Scholar Knowledge Graph.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multivariate Relations Aggregation Learning in Social Networks.
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020

On the Correlation Between Research Complexity and Academic Competitiveness.
Proceedings of the Digital Libraries at Times of Massive Societal Transition, 2020

2019
API: An Index for Quantifying a Scholar's Academic Potential.
IEEE Access, 2019

Mining Key Scholars via Collapsed Core and Truss.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Many-to-Many Collaborator Recommendation Based on Matching Markets Theory.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019


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