Jiaying Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

Social Networks

Graph Representation

Data Mining And Information Retrieval

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jiaying Liu, Xiaomei Bai, Mengying Wang, Suppawong Tuarob, Feng Xia
Anomalous citations detection in academic networks. Artif. Intell. Rev. 57 (4) (2024)
Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal
Attributed Graph Force Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Jiaying Liu, Qiaoshuang Meng, Fang-Mei Tseng, Yutao Sun
Three Decades of Cross-Border Mergers and Acquisitions Research: Mapping the Field and Paths Forward. IEEE Trans. Engineering Management 71 (2024)
Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Xiaomei Bai, Fuli Zhang, Jiaying Liu, Feng Xia
Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks. J. Informetrics 17 (2) (2023)
Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong
How to optimize an academic team when the outlier member is leaving? CoRR (2022)
Bo Xu, Bowen Chen, Tianyu Zhang, Jiaying Liu, Chunke Liao, Zhehuan Zhao
Mining Multivariate Implicit Relationships in Academic Networks. WWW (Companion Volume) (2022)
Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
Deep Graph Learning for Anomalous Citation Detection. CoRR (2022)
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
Web of Scholars: A Scholar Knowledge Graph. CoRR (2022)
Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
Deep Graph Learning for Anomalous Citation Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong
Matching Algorithms: Fundamentals, Applications and Challenges. CoRR (2021)
Jiaying Liu, Hansong Nie, Shihao Li, Xiangtai Chen, Huazhu Cao, Jing Ren, Ivan Lee, Feng Xia
Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution. Big Data Res. 25 (2021)
Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong
Matching Algorithms: Fundamentals, Applications and Challenges. IEEE Trans. Emerg. Top. Comput. Intell. 5 (3) (2021)
Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong
How to Optimize an Academic Team When the Outlier Member is Leaving? IEEE Intell. Syst. 36 (3) (2021)
Shiyu Han, Jiaying Liu, Bo Xu, Lianhua Chi, Ching-Hsien Hsu
Network Completion with Auto-regressive Graph Generative Model. WI/IAT (Workshop/Special Session) (2021)
Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Mingliang Hou, Lei Wang, Jiaying Liu, Xiangjie Kong, Feng Xia
A3Graph: adversarial attributed autoencoder for graph representation learning. SAC (2021)
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
Graph Force Learning. CoRR (2021)
Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia, Zhiguo Gong, Irwin King
Attributed Collaboration Network Embedding for Academic Relationship Mining. ACM Trans. Web 15 (1) (2021)
Xiangjie Kong, Mengyi Mao, Wei Wang, Jiaying Liu, Bo Xu
VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation. IEEE Trans. Emerg. Top. Comput. 9 (1) (2021)
Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong
Turing Number: How Far Are You to A. M. Turing Award? CoRR (2021)
Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia
Understanding the Advisor-advisee Relationship via Scholarly Data Analysis. CoRR (2020)
Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia
DINE: A Framework for Deep Incomplete Network Embedding. CoRR (2020)
Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. CoRR (2020)
Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong
Turing number: how far are you to A. M. Turing award? SIGWEB Newsl. 2020 (Autumn) (2020)
Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong
Random Walks: A Review of Algorithms and Applications. CoRR (2020)
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
Graph Force Learning. IEEE BigData (2020)
Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong
Random Walks: A Review of Algorithms and Applications. IEEE Trans. Emerg. Top. Comput. Intell. 4 (2) (2020)
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
Web of Scholars: A Scholar Knowledge Graph. SIGIR (2020)
Wei Wang, Bo Xu, Jiaying Liu, Zixin Cui, Shuo Yu, Xiangjie Kong, Feng Xia
CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting. World Wide Web 22 (6) (2019)
Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia
DINE: A Framework for Deep Incomplete Network Embedding. Australasian Conference on Artificial Intelligence (2019)
Jiaying Liu, Jiahao Tian, Xiangjie Kong, Ivan Lee, Feng Xia
Two decades of information systems: a bibliometric review. Scientometrics 118 (2) (2019)
Xiangjie Kong, Yajie Shi, Shuo Yu, Jiaying Liu, Feng Xia
Academic social networks: Modeling, analysis, mining and applications. J. Netw. Comput. Appl. 132 (2019)
Wei Wang, Jiaying Liu, Zhuo Yang, Xiangjie Kong, Feng Xia
Sustainable Collaborator Recommendation Based on Conference Closure. IEEE Trans. Comput. Soc. Syst. 6 (2) (2019)
Liwei Cai, Jiahao Tian, Jiaying Liu, Xiaomei Bai, Ivan Lee, Xiangjie Kong, Feng Xia
Scholarly impact assessment: a survey of citation weighting solutions. Scientometrics 118 (2) (2019)
Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia
Data Mining and Information Retrieval in the 21st century: A bibliographic review. Comput. Sci. Rev. 34 (2019)
Shuo Yu, Jiaying Liu, Zhuo Yang, Zhen Chen, Huizhen Jiang, Amr Tolba, Feng Xia
PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks. J. Netw. Comput. Appl. 104 (2018)
Bo Xu, Lu Li, Jiaying Liu, Liangtian Wan, Xiangjie Kong, Feng Xia
Disappearing Link Prediction in Scientific Collaboration Networks. IEEE Access 6 (2018)
Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia
Understanding the advisor-advisee relationship via scholarly data analysis. Scientometrics 116 (1) (2018)
Jiaying Liu, Tao Tang, Wei Wang, Bo Xu, Xiangjie Kong, Feng Xia
A Survey of Scholarly Data Visualization. IEEE Access 6 (2018)
Xiangjie Kong, Mengyi Mao, Jiaying Liu, Bo Xu, Ruihe Huang, Qun Jin
TNERec: Topic-Aware Network Embedding for Scientific Collaborator Recommendation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Jun Zhang, Bo Xu, Jiaying Liu, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia
PePSI: Personalized Prediction of Scholars' Impact in Heterogeneous Temporal Academic Networks. IEEE Access 6 (2018)
Jiaying Liu, Xiangjie Kong, Feng Xia, Xiaomei Bai, Lei Wang, Qing Qing, Ivan Lee
Artificial Intelligence in the 21st Century. IEEE Access 6 (2018)
Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong
Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. WWW (Companion Volume) (2017)
Jun Zhang, Wenjie Kang, Jiaying Liu, Teng Guo, Ivan Lee, Feng Xia
Predicting the Future Impact of Scholars through Time-aware Academic Networks. ISSI (2017)
Wei Wang, Jiaying Liu, Shuo Yu, Chenxin Zhang, Zhenzhen Xu, Feng Xia
Mining Advisor-Advisee Relationships in Scholarly Big Data: A Deep Learning Approach. JCDL (2016)