Jiaying Liu

51 papers A* 4Misc 1Journal 38Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
Bridging Semantic Understanding and Popularity Bias with LLMs.
WWW
Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu
2026 J jnl
Bridging Semantic Understanding and Popularity Bias with LLMs.
CoRR
Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu
2026 A* conf
Explaining Synergistic Effects in Social Recommendations.
WWW
Yicong Li, Shan Jin, Qi Liu, Shuo Wang, Jiaying Liu, Shuo Yu, Qiang Zhang, Kuanjiu Zhou, Feng Xia
2026 J jnl
Explaining Synergistic Effects in Social Recommendations.
CoRR
Yicong Li, Shan Jin, Qi Liu, Shuo Wang, Jiaying Liu, Shuo Yu, Qiang Zhang, Kuanjiu Zhou, Feng Xia
2026 A* conf
Knowledge-Enhanced Multimodal Fake News Detection: Semantic Visual and Priority Fusion.
WWW
Qin Zhang, Jiaying Liu, Qian Tao, Zhiwei Guo, Qiyue Zhong, Yifan Zhang, Ziyan Huang
2024 J jnl
Anomalous citations detection in academic networks.
Artif. Intell. Rev.
Jiaying Liu, Xiaomei Bai, Mengying Wang, Suppawong Tuarob, Feng Xia
2024 J jnl
Attributed Graph Force Learning.
IEEE Trans. Neural Networks Learn. Syst.
Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal
2024 J jnl
Three Decades of Cross-Border Mergers and Acquisitions Research: Mapping the Field and Paths Forward.
IEEE Trans. Engineering Management
Jiaying Liu, Qiaoshuang Meng, Fang-Mei Tseng, Yutao Sun
2023 J jnl
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data
Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi
2023 J jnl
Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks.
J. Informetrics
Xiaomei Bai, Fuli Zhang, Jiaying Liu, Feng Xia
2022 J jnl
Deep Graph Learning for Anomalous Citation Detection.
CoRR
Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
2022 J jnl
Deep Graph Learning for Anomalous Citation Detection.
IEEE Trans. Neural Networks Learn. Syst.
Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
2022 J jnl
How to optimize an academic team when the outlier member is leaving?
CoRR
Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong
2022 — conf
Mining Multivariate Implicit Relationships in Academic Networks.
WWW (Companion Volume)
Bo Xu, Bowen Chen, Tianyu Zhang, Jiaying Liu, Chunke Liao, Zhehuan Zhao
2022 J jnl
Web of Scholars: A Scholar Knowledge Graph.
CoRR
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
2021 Misc conf
A3Graph: adversarial attributed autoencoder for graph representation learning.
SAC
Mingliang Hou, Lei Wang, Jiaying Liu, Xiangjie Kong, Feng Xia
2021 J jnl
Attributed Collaboration Network Embedding for Academic Relationship Mining.
ACM Trans. Web
Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia, Zhiguo Gong, Irwin King
2021 J jnl
Graph Force Learning.
CoRR
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
2021 J jnl
How to Optimize an Academic Team When the Outlier Member is Leaving?
IEEE Intell. Syst.
Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong
2021 J jnl
Matching Algorithms: Fundamentals, Applications and Challenges.
CoRR
Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong
2021 J jnl
Matching Algorithms: Fundamentals, Applications and Challenges.
IEEE Trans. Emerg. Top. Comput. Intell.
Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong
2021 — conf
Network Completion with Auto-regressive Graph Generative Model.
WI/IAT (Workshop/Special Session)
Shiyu Han, Jiaying Liu, Bo Xu, Lianhua Chi, Ching-Hsien Hsu
2021 J jnl
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining.
IEEE Trans. Knowl. Data Eng.
Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King
2021 J jnl
Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution.
Big Data Res.
Jiaying Liu, Hansong Nie, Shihao Li, Xiangtai Chen, Huazhu Cao, Jing Ren, Ivan Lee, Feng Xia
2021 J jnl
Turing Number: How Far Are You to A. M. Turing Award?
CoRR
Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong
2021 J jnl
VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation.
IEEE Trans. Emerg. Top. Comput.
Xiangjie Kong, Mengyi Mao, Wei Wang, Jiaying Liu, Bo Xu
2020 J jnl
DINE: A Framework for Deep Incomplete Network Embedding.
CoRR
Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia
2020 — conf
Graph Force Learning.
IEEE BigData
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
2020 J jnl
Random Walks: A Review of Algorithms and Applications.
CoRR
Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong
2020 J jnl
Random Walks: A Review of Algorithms and Applications.
IEEE Trans. Emerg. Top. Comput. Intell.
Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong
2020 J jnl
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining.
CoRR
Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King
2020 J jnl
Turing number: how far are you to A. M. Turing award?
SIGWEB Newsl.
Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong
2020 J jnl
Understanding the Advisor-advisee Relationship via Scholarly Data Analysis.
CoRR
Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia
2020 A* conf
Web of Scholars: A Scholar Knowledge Graph.
SIGIR
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
2019 J jnl
Academic social networks: Modeling, analysis, mining and applications.
J. Netw. Comput. Appl.
Xiangjie Kong, Yajie Shi, Shuo Yu, Jiaying Liu, Feng Xia
2019 J jnl
CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting.
World Wide Web
Wei Wang, Bo Xu, Jiaying Liu, Zixin Cui, Shuo Yu, Xiangjie Kong, Feng Xia
2019 — conf
DINE: A Framework for Deep Incomplete Network Embedding.
Australasian Conference on Artificial Intelligence
Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia
2019 J jnl
Data Mining and Information Retrieval in the 21st century: A bibliographic review.
Comput. Sci. Rev.
Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia
2019 J jnl
Scholarly impact assessment: a survey of citation weighting solutions.
Scientometrics
Liwei Cai, Jiahao Tian, Jiaying Liu, Xiaomei Bai, Ivan Lee, Xiangjie Kong, Feng Xia
2019 J jnl
Sustainable Collaborator Recommendation Based on Conference Closure.
IEEE Trans. Comput. Soc. Syst.
Wei Wang, Jiaying Liu, Zhuo Yang, Xiangjie Kong, Feng Xia
2019 J jnl
Two decades of information systems: a bibliometric review.
Scientometrics
Jiaying Liu, Jiahao Tian, Xiangjie Kong, Ivan Lee, Feng Xia
2018 J jnl
A Survey of Scholarly Data Visualization.
IEEE Access
Jiaying Liu, Tao Tang, Wei Wang, Bo Xu, Xiangjie Kong, Feng Xia
2018 J jnl
Artificial Intelligence in the 21st Century.
IEEE Access
Jiaying Liu, Xiangjie Kong, Feng Xia, Xiaomei Bai, Lei Wang, Qing Qing, Ivan Lee
2018 J jnl
Disappearing Link Prediction in Scientific Collaboration Networks.
IEEE Access
Bo Xu, Lu Li, Jiaying Liu, Liangtian Wan, Xiangjie Kong, Feng Xia
2018 J jnl
PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks.
J. Netw. Comput. Appl.
Shuo Yu, Jiaying Liu, Zhuo Yang, Zhen Chen, Huizhen Jiang, Amr Tolba, Feng Xia
2018 J jnl
PePSI: Personalized Prediction of Scholars' Impact in Heterogeneous Temporal Academic Networks.
IEEE Access
Jun Zhang, Bo Xu, Jiaying Liu, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia
2018 — conf
TNERec: Topic-Aware Network Embedding for Scientific Collaborator Recommendation.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Xiangjie Kong, Mengyi Mao, Jiaying Liu, Bo Xu, Ruihe Huang, Qun Jin
2018 J jnl
Understanding the advisor-advisee relationship via scholarly data analysis.
Scientometrics
Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia
2017 — conf
Predicting the Future Impact of Scholars through Time-aware Academic Networks.
ISSI
Jun Zhang, Wenjie Kang, Jiaying Liu, Teng Guo, Ivan Lee, Feng Xia
2017 — conf
Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data.
WWW (Companion Volume)
Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong
2016 — conf
Mining Advisor-Advisee Relationships in Scholarly Big Data: A Deep Learning Approach.
JCDL
Wei Wang, Jiaying Liu, Shuo Yu, Chenxin Zhang, Zhenzhen Xu, Feng Xia