Jiaying Liu

According to our database, Jiaying Liu authored at least 37 papers between 2016 and 2024.

Collaborative distances:

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

2024

Attributed Graph Force Learning.

Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Three Decades of Cross-Border Mergers and Acquisitions Research: Mapping the Field and Paths Forward.

Jiaying Liu, Qiaoshuang Meng, Fang-Mei Tseng, Yutao Sun

IEEE Trans. Engineering Management, 2024

Anomalous citations detection in academic networks.

Jiaying Liu, Xiaomei Bai, Mengying Wang, Suppawong Tuarob, Feng Xia

Artif. Intell. Rev., 2024

2023

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

Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi

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

Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks.

Xiaomei Bai, Fuli Zhang, Jiaying Liu, Feng Xia

J. Informetrics, May, 2023

2022

Deep Graph Learning for Anomalous Citation Detection.

Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Mining Multivariate Implicit Relationships in Academic Networks.

Bo Xu, Bowen Chen, Tianyu Zhang, Jiaying Liu, Chunke Liao, Zhehuan Zhao

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

Attributed Collaboration Network Embedding for Academic Relationship Mining.

Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia, Zhiguo Gong, Irwin King

ACM Trans. Web, 2021

Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining.

Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King

IEEE Trans. Knowl. Data Eng., 2021

Matching Algorithms: Fundamentals, Applications and Challenges.

Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong

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

VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation.

Xiangjie Kong, Mengyi Mao, Wei Wang, Jiaying Liu, Bo Xu

IEEE Trans. Emerg. Top. Comput., 2021

How to Optimize an Academic Team When the Outlier Member is Leaving?

Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong

IEEE Intell. Syst., 2021

Graph Force Learning.

Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia

CoRR, 2021

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

Jiaying Liu, Hansong Nie, Shihao Li, Xiangtai Chen, Huazhu Cao, Jing Ren, Ivan Lee, Feng Xia

Big Data Res., 2021

Network Completion with Auto-regressive Graph Generative Model.

Shiyu Han, Jiaying Liu, Bo Xu, Lianhua Chi, Ching-Hsien Hsu

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

A3Graph: adversarial attributed autoencoder for graph representation learning.

Mingliang Hou, Lei Wang, Jiaying Liu, Xiangjie Kong, Feng Xia

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020

Random Walks: A Review of Algorithms and Applications.

Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Turing number: how far are you to A. M. Turing award?

Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong

SIGWEB Newsl., 2020

Web of Scholars: A Scholar Knowledge Graph.

Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Graph Force Learning.

Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting.

Wei Wang, Bo Xu, Jiaying Liu, Zixin Cui, Shuo Yu, Xiangjie Kong, Feng Xia

World Wide Web, 2019

Sustainable Collaborator Recommendation Based on Conference Closure.

Wei Wang, Jiaying Liu, Zhuo Yang, Xiangjie Kong, Feng Xia

IEEE Trans. Comput. Soc. Syst., 2019

Two decades of information systems: a bibliometric review.

Jiaying Liu, Jiahao Tian, Xiangjie Kong, Ivan Lee, Feng Xia

Scientometrics, 2019

Scholarly impact assessment: a survey of citation weighting solutions.

Liwei Cai, Jiahao Tian, Jiaying Liu, Xiaomei Bai, Ivan Lee, Xiangjie Kong, Feng Xia

Scientometrics, 2019

Academic social networks: Modeling, analysis, mining and applications.

Xiangjie Kong, Yajie Shi, Shuo Yu, Jiaying Liu, Feng Xia

J. Netw. Comput. Appl., 2019

Data Mining and Information Retrieval in the 21st century: A bibliographic review.

Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia

Comput. Sci. Rev., 2019

DINE: A Framework for Deep Incomplete Network Embedding.

Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018

Understanding the advisor-advisee relationship via scholarly data analysis.

Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia

Scientometrics, 2018

PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks.

Shuo Yu, Jiaying Liu, Zhuo Yang, Zhen Chen, Huizhen Jiang, Amr Tolba, Feng Xia

J. Netw. Comput. Appl., 2018

PePSI: Personalized Prediction of Scholars' Impact in Heterogeneous Temporal Academic Networks.

Jun Zhang, Bo Xu, Jiaying Liu, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia

IEEE Access, 2018

Disappearing Link Prediction in Scientific Collaboration Networks.

Bo Xu, Lu Li, Jiaying Liu, Liangtian Wan, Xiangjie Kong, Feng Xia

IEEE Access, 2018

A Survey of Scholarly Data Visualization.

Jiaying Liu, Tao Tang, Wei Wang, Bo Xu, Xiangjie Kong, Feng Xia

IEEE Access, 2018

Artificial Intelligence in the 21st Century.

Jiaying Liu, Xiangjie Kong, Feng Xia, Xiaomei Bai, Lei Wang, Qing Qing, Ivan Lee

IEEE Access, 2018

TNERec: Topic-Aware Network Embedding for Scientific Collaborator Recommendation.

Xiangjie Kong, Mengyi Mao, Jiaying Liu, Bo Xu, Ruihe Huang, Qun Jin

Proceedings of the 2018 IEEE SmartWorld, 2018

2017

Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data.

Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Predicting the Future Impact of Scholars through Time-aware Academic Networks.

Jun Zhang, Wenjie Kang, Jiaying Liu, Teng Guo, Ivan Lee, Feng Xia

Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017

2016

Mining Advisor-Advisee Relationships in Scholarly Big Data: A Deep Learning Approach.

Wei Wang, Jiaying Liu, Shuo Yu, Chenxin Zhang, Zhenzhen Xu, Feng Xia

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016