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Jiaying Liu 0006
Person information
- affiliation: Dalian University of Technology, School of Software, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, China
Other persons with the same name
- Jiaying Liu 0001
— Peking University, Institute of Computer Science and Technology, Beijing, China
- Jiaying Liu 0002 — Wuhan University, School of Information Engineering and Remote Sensing, China
- Jiaying Liu 0003 — China University of Mining and Technology, Department of Mathematics, Xuzhou, China
- Jiaying Liu 0004 — Guangzhou University of Chinese Medicine, Guangzhou City, China
- Jiaying Liu 0005 — Beijing Jiaotong University, School of Economics and Management, China
- Jiaying Liu 0007
- Jiaying Liu 0008 — Chinese Academy of Sciences, Institute of Optics and Electronics, Chengdu, China
- Jiaying Liu 0009 — Civil Aviation University of China, Flight Technology College, Tianjin, China
- Jiaying Liu 0010
- Jiaying Liu 0011
- Jiaying Liu 0012 — Northeastern University, Qinhuangdao, China
- Jiaying Liu 0013 — Politechnic University of Milan, Italy
- Jiaying Liu 0014 — Xi'an Jiaotong University, School of Information and Communication, China
- Jiaying Liu 0015 — Beijing University of Technology, Faculty of Information Technology, China
- Jiaying Liu 0016
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2020 – today
- 2024
- [j26]Jiaying Liu, Xiaomei Bai, Mengying Wang, Suppawong Tuarob, Feng Xia:
Anomalous citations detection in academic networks. Artif. Intell. Rev. 57(4): 103 (2024) - [j25]Jiaying Liu
Three Decades of Cross-Border Mergers and Acquisitions Research: Mapping the Field and Paths Forward. IEEE Trans. Engineering Management 71: 5847-5868 (2024) - [j24]Ke Sun
Attributed Graph Force Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4502-4515 (2024) - 2023
- [j23]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): 101397 (2023) - [j22]Jiaying Liu
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17(4): 55:1-55:24 (2023) - 2022
- [j21]Jiaying Liu
Deep Graph Learning for Anomalous Citation Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2543-2557 (2022) - [c10]Bo Xu, Bowen Chen, Tianyu Zhang, Jiaying Liu, Chunke Liao, Zhehuan Zhao:
Mining Multivariate Implicit Relationships in Academic Networks. WWW (Companion Volume) 2022: 1148-1156 - [i10]Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. CoRR abs/2202.11311 (2022) - [i9]Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. CoRR abs/2202.11360 (2022) - [i8]Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong:
How to optimize an academic team when the outlier member is leaving? CoRR abs/2202.11608 (2022) - 2021
- [j20]Jiaying Liu, Hansong Nie
Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution. Big Data Res. 25: 100236 (2021) - [j19]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): 23-30 (2021) - [j18]Xiangjie Kong
VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation. IEEE Trans. Emerg. Top. Comput. 9(1): 226-237 (2021) - [j17]Jing Ren
Matching Algorithms: Fundamentals, Applications and Challenges. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 332-350 (2021) - [j16]Jiaying Liu
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1763-1777 (2021) - [j15]Wei Wang
Attributed Collaboration Network Embedding for Academic Relationship Mining. ACM Trans. Web 15(1): 4:1-4:20 (2021) - [c9]Mingliang Hou, Lei Wang, Jiaying Liu, Xiangjie Kong, Feng Xia:
A3Graph: adversarial attributed autoencoder for graph representation learning. SAC 2021: 1697-1704 - [c8]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: 45-53 - [i7]Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong:
Matching Algorithms: Fundamentals, Applications and Challenges. CoRR abs/2103.03770 (2021) - [i6]Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia:
Graph Force Learning. CoRR abs/2103.04344 (2021) - [i5]Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong:
Turing Number: How Far Are You to A. M. Turing Award? CoRR abs/2105.00706 (2021) - 2020
- [j14]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): 5:1-5:8 (2020) - [j13]Feng Xia
Random Walks: A Review of Algorithms and Applications. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 95-107 (2020) - [c7]Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia:
Graph Force Learning. IEEE BigData 2020: 2987-2994 - [c6]Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. SIGIR 2020: 2153-2156 - [i4]Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong:
Random Walks: A Review of Algorithms and Applications. CoRR abs/2008.03639 (2020) - [i3]Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia:
DINE: A Framework for Deep Incomplete Network Embedding. CoRR abs/2008.06311 (2020) - [i2]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 abs/2008.07097 (2020) - [i1]Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia:
Understanding the Advisor-advisee Relationship via Scholarly Data Analysis. CoRR abs/2008.08743 (2020)
2010 – 2019
- 2019
- [j12]Jiaying Liu, Xiangjie Kong
Data Mining and Information Retrieval in the 21st century: A bibliographic review. Comput. Sci. Rev. 34 (2019) - [j11]Xiangjie Kong
Academic social networks: Modeling, analysis, mining and applications. J. Netw. Comput. Appl. 132: 86-103 (2019) - [j10]Liwei Cai, Jiahao Tian, Jiaying Liu, Xiaomei Bai, Ivan Lee
Scholarly impact assessment: a survey of citation weighting solutions. Scientometrics 118(2): 453-478 (2019) - [j9]Jiaying Liu, Jiahao Tian, Xiangjie Kong
Two decades of information systems: a bibliometric review. Scientometrics 118(2): 617-643 (2019) - [j8]Wei Wang
Sustainable Collaborator Recommendation Based on Conference Closure. IEEE Trans. Comput. Soc. Syst. 6(2): 311-322 (2019) - [j7]Wei Wang
CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting. World Wide Web 22(6): 2749-2770 (2019) - [c5]Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee
DINE: A Framework for Deep Incomplete Network Embedding. Australasian Conference on Artificial Intelligence 2019: 165-176 - 2018
- [j6]Jiaying Liu, Tao Tang, Wei Wang
A Survey of Scholarly Data Visualization. IEEE Access 6: 19205-19221 (2018) - [j5]Jiaying Liu, Xiangjie Kong
Artificial Intelligence in the 21st Century. IEEE Access 6: 34403-34421 (2018) - [j4]Jun Zhang, Bo Xu
PePSI: Personalized Prediction of Scholars' Impact in Heterogeneous Temporal Academic Networks. IEEE Access 6: 55661-55672 (2018) - [j3]Bo Xu
Disappearing Link Prediction in Scientific Collaboration Networks. IEEE Access 6: 69702-69712 (2018) - [j2]Shuo Yu, Jiaying Liu, Zhuo Yang, Zhen Chen, Huizhen Jiang, Amr Tolba
PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks. J. Netw. Comput. Appl. 104: 38-47 (2018) - [j1]Jiaying Liu, Tao Tang, Xiangjie Kong
Understanding the advisor-advisee relationship via scholarly data analysis. Scientometrics 116(1): 161-180 (2018) - [c4]Xiangjie Kong
TNERec: Topic-Aware Network Embedding for Scientific Collaborator Recommendation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1007-1014 - 2017
- [c3]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: 1672-1673 - [c2]Wei Wang
Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. WWW (Companion Volume) 2017: 303-310 - 2016
- [c1]Wei Wang
Mining Advisor-Advisee Relationships in Scholarly Big Data: A Deep Learning Approach. JCDL 2016: 209-210
Coauthor Index
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last updated on 2024-11-20 20:58 CET by the dblp team
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