Mining Advisor-Advisee Relationships in Scholarly Big Data: A Deep Learning Approach. - Wei Wang 077; Jiaying Liu 006; Shuo Yu 001; Chenxin Zhang; Zhenzhen Xu; Feng Xia 001 (JCDL, 2016)

Predicting the Future Impact of Scholars through Time-aware Academic Networks. - Jun Zhang 048; Wenjie Kang; Jiaying Liu 006; Teng Guo 002; Ivan Lee 001; Feng Xia 001 (ISSI, 2017)

Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. - Wei Wang 077; Jiaying Liu 006; Feng Xia 001; Irwin King; Hanghang Tong (WWW (Companion Volume), 2017)

TNERec: Topic-Aware Network Embedding for Scientific Collaborator Recommendation. - Xiangjie Kong 001; Mengyi Mao; Jiaying Liu 006; Bo Xu 009; Ruihe Huang; Qun Jin (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Artificial Intelligence in the 21st Century. - Jiaying Liu 006; Xiangjie Kong 001; Feng Xia 001; Xiaomei Bai; Lei Wang 134; Qing Qing; Ivan Lee 001 (IEEE Access, 2018)

A Survey of Scholarly Data Visualization. - Jiaying Liu 006; Tao Tang 007; Wei Wang 077; Bo Xu 008; Xiangjie Kong 001; Feng Xia 001 (IEEE Access, 2018)

Disappearing Link Prediction in Scientific Collaboration Networks. - Bo Xu 008; Lu Li; Jiaying Liu 006; Liangtian Wan; Xiangjie Kong 001; Feng Xia 001 (IEEE Access, 2018)

PePSI: Personalized Prediction of Scholars' Impact in Heterogeneous Temporal Academic Networks. - Jun Zhang 048; Bo Xu 008; Jiaying Liu 006; Amr Tolba; Zafer Al-Makhadmeh; Feng Xia 001 (IEEE Access, 2018)

PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks. - Shuo Yu 001; Jiaying Liu 006; Zhuo Yang; Zhen Chen; Huizhen Jiang; Amr Tolba; Feng Xia 001 (J. Netw. Comput. Appl., 2018)

Understanding the advisor-advisee relationship via scholarly data analysis. - Jiaying Liu 006; Tao Tang 007; Xiangjie Kong 001; Amr Tolba; Zafer Al-Makhadmeh; Feng Xia 001 (Scientometrics, 2018)

DINE: A Framework for Deep Incomplete Network Embedding. - Ke Hou; Jiaying Liu 006; Yin Peng; Bo Xu 008; Ivan Lee 001; Feng Xia 001 (Australasian Conference on Artificial Intelligence, 2019)

Data Mining and Information Retrieval in the 21st century: A bibliographic review. - Jiaying Liu 006; Xiangjie Kong 001; Xinyu Zhou; Lei Wang 134; Da Zhang 002; Ivan Lee 001; Bo Xu 008; Feng Xia 001 (Comput. Sci. Rev., 2019)

Academic social networks: Modeling, analysis, mining and applications. - Xiangjie Kong 001; Yajie Shi; Shuo Yu 001; Jiaying Liu 006; Feng Xia 001 (J. Netw. Comput. Appl., 2019)

Scholarly impact assessment: a survey of citation weighting solutions. - Liwei Cai; Jiahao Tian; Jiaying Liu 006; Xiaomei Bai; Ivan Lee 001; Xiangjie Kong 001; Feng Xia 001 (Scientometrics, 2019)

Two decades of information systems: a bibliometric review. - Jiaying Liu 006; Jiahao Tian; Xiangjie Kong 001; Ivan Lee 001; Feng Xia 001 (Scientometrics, 2019)

Sustainable Collaborator Recommendation Based on Conference Closure. - Wei Wang 077; Jiaying Liu 006; Zhuo Yang; Xiangjie Kong 001; Feng Xia 001 (IEEE Trans. Comput. Soc. Syst., 2019)

CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting. - Wei Wang 077; Bo Xu 008; Jiaying Liu 006; Zixin Cui; Shuo Yu 001; Xiangjie Kong 001; Feng Xia 001 (World Wide Web, 2019)

Graph Force Learning. - Ke Sun 011; Jiaying Liu 006; Shuo Yu 001; Bo Xu 008; Feng Xia 001 (IEEE BigData, 2020)

Web of Scholars: A Scholar Knowledge Graph. - Jiaying Liu 006; Jing Ren 001; Wenqing Zheng; Lianhua Chi; Ivan Lee 001; Feng Xia 001 (SIGIR, 2020)

Turing number: how far are you to A. M. Turing award? - Feng Xia 001; Jiaying Liu 006; Jing Ren 001; Wei Wang 077; Xiangjie Kong 001 (SIGWEB Newsl., 2020)

Random Walks: A Review of Algorithms and Applications. - Feng Xia 001; Jiaying Liu 006; Hansong Nie; Yonghao Fu; Liangtian Wan; Xiangjie Kong 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

A3Graph: adversarial attributed autoencoder for graph representation learning. - Mingliang Hou; Lei Wang 134; Jiaying Liu 006; Xiangjie Kong 001; Feng Xia 001 (SAC, 2021)

Network Completion with Auto-regressive Graph Generative Model. - Shiyu Han; Jiaying Liu 006; Bo Xu 008; Lianhua Chi; Ching-Hsien Hsu (WI/IAT (Workshop/Special Session), 2021)

Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution. - Jiaying Liu 006; Hansong Nie; Shihao Li; Xiangtai Chen; Huazhu Cao; Jing Ren 001; Ivan Lee 001; Feng Xia 001 (Big Data Res., 2021)

Graph Force Learning. - Ke Sun 011; Jiaying Liu 006; Shuo Yu 001; Bo Xu 009; Feng Xia 001 (CoRR, 2021)

How to Optimize an Academic Team When the Outlier Member is Leaving? - Shuo Yu 001; Jiaying Liu 006; Haoran Wei; Feng Xia 001; Hanghang Tong (IEEE Intell. Syst., 2021)

VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation. - Xiangjie Kong 001; Mengyi Mao; Wei Wang 077; Jiaying Liu 006; Bo Xu 008 (IEEE Trans. Emerg. Top. Comput., 2021)

Matching Algorithms: Fundamentals, Applications and Challenges. - Jing Ren 001; Feng Xia 001; Xiangtai Chen; Jiaying Liu 006; Mingliang Hou; Ahsan Shehzad; Nargiz Sultanova; Xiangjie Kong 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. - Jiaying Liu 006; Feng Xia 001; Lei Wang 134; Bo Xu 008; Xiangjie Kong 001; Hanghang Tong; Irwin King (IEEE Trans. Knowl. Data Eng., 2021)

Attributed Collaboration Network Embedding for Academic Relationship Mining. - Wei Wang 077; Jiaying Liu 006; Tao Tang 007; Suppawong Tuarob; Feng Xia 001; Zhiguo Gong; Irwin King (ACM Trans. Web, 2021)

Mining Multivariate Implicit Relationships in Academic Networks. - Bo Xu 008; Bowen Chen; Tianyu Zhang; Jiaying Liu 006; Chunke Liao; Zhehuan Zhao (WWW (Companion Volume), 2022)

Deep Graph Learning for Anomalous Citation Detection. - Jiaying Liu 006; Feng Xia 001; Xu Feng; Jing Ren 001; Huan Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks. - Xiaomei Bai; Fuli Zhang; Jiaying Liu 006; Feng Xia 001 (J. Informetrics, 2023)

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. - Jiaying Liu 006; Feng Xia 001; Jing Ren 001; Bo Xu 008; Guansong Pang; Lianhua Chi (ACM Trans. Knowl. Discov. Data, 2023)

Anomalous citations detection in academic networks. - Jiaying Liu 006; Xiaomei Bai; Mengying Wang 004; Suppawong Tuarob; Feng Xia 001 (Artif. Intell. Rev., 2024)

Three Decades of Cross-Border Mergers and Acquisitions Research: Mapping the Field and Paths Forward. - Jiaying Liu 006; Qiaoshuang Meng; Fang-Mei Tseng; Yutao Sun (IEEE Trans. Engineering Management, 2024)

Attributed Graph Force Learning. - Ke Sun 011; Feng Xia 001; Jiaying Liu 006; Bo Xu 008; Vidya Saikrishna; Charu C. Aggarwal (IEEE Trans. Neural Networks Learn. Syst., 2024)