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ORCIDJing Ren 0001
Person information
- affiliation: Federation University Australia, School of Engineering, IT and Physical Sciences, Ballarat, VIC, Australia
- affiliation: Dalian University of Technology, School of Software, Dalian, China
Other persons with the same name
- Jing Ren — disambiguation page
- Jing Ren 0002
![[0000-0002-9523-5210]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9523-5210")
— Peng Cheng Laboratory, Department of Mathematics and Theories, Shenzhen, China (and 1 more) - Jing Ren 0003 — University of Ontario Institute of Technology, Faculty of Engineering and Applied Science, Oshawa, Canada (and 1 more)
- Jing Ren 0004 — ETH Zurich, Interactive Geometry Lab, Zürich, Switzerland (and 1 more)
- Jing Ren 0005 — Singapore University of Social Sciences, Singapore
- Jing Ren 0006 — China Meteorological Administration, Institute of Heavy Rain, Key Laboratory for Heavy Rain Monitoring and Warning Research, Wuhan, China
- Jing Ren 0007 — Army Engineering University of PLA, College of Communications Engineering, Nanjing, China
- Jing Ren 0008 — Stanford University, Howard Hughes Medical Institute, Department of Biology, Stanford, CA, USA
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Journal Articles
- 2023
[j12]Jing Ren, Feng Xia, Ivan Lee, Azadeh Noori Hoshyar, Charu C. Aggarwal:
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. ACM Trans. Intell. Syst. Technol. 14(2): 28:1-28:29 (2023)- [j11]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): 55:1-55:24 (2023) - 2022
- [j10]Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia:
Graph Learning for Fake Review Detection. Frontiers Artif. Intell. 5 (2022) - [j9]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): 2543-2557 (2022) - 2021
- [j8]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: 100236 (2021) - [j7]Wei Wang, Zhiguo Gong, Jing Ren, Feng Xia, Zhihan Lv, Wei Wei:
Venue Topic Model-enhanced Joint Graph Modelling for Citation Recommendation in Scholarly Big Data. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 4:1-4:15 (2021) - [j6]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): 332-350 (2021) - 2020
- [j5]Mingliang Hou, Jing Ren, Da Zhang, Xiangjie Kong, Dongyu Zhang, Feng Xia:
Network embedding: Taxonomies, frameworks and applications. Comput. Sci. Rev. 38: 100296 (2020) - [j4]Wei Wang, Jing Ren, Mubarak Alrashoud, Feng Xia, Mengyi Mao, Amr Tolba:
Early-stage reciprocity in sustainable scientific collaboration. J. Informetrics 14(3): 101041 (2020) - [j3]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) - [j2]Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia:
MODEL: Motif-Based Deep Feature Learning for Link Prediction. IEEE Trans. Comput. Soc. Syst. 7(2): 503-516 (2020) - 2019
- [j1]Jing Ren, Lei Wang, Kailai Wang, Shuo Yu, Mingliang Hou, Ivan Lee, Xiangjie Kong, Feng Xia:
API: An Index for Quantifying a Scholar's Academic Potential. IEEE Access 7: 178675-178684 (2019)
Conference and Workshop Papers
- 2022
- [c9]Jing Ren, Yajie Shi, Adrian Shatte, Xiangjie Kong, Feng Xia:
The significance and impact of winning an academic award: a study of early career academics. JCDL 2022: 31 - 2021
- [c8]Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, Feng Xia:
Cross Network Representation Matching with Outliers. ICDM (Workshops) 2021: 951-958 - [c7]Jing Ren, Feng Xia, Yemeng Liu, Ivan Lee:
Deep Video Anomaly Detection: Opportunities and Challenges. ICDM (Workshops) 2021: 959-966 - [c6]Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia:
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. WI/IAT (Workshop/Special Session) 2021: 29-36 - 2020
- [c5]Jing Ren, Ivan Lee, Lei Wang, Xiangtai Chen, Feng Xia:
On the Correlation Between Research Complexity and Academic Competitiveness. ICADL 2020: 416-422 - [c4]Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia:
Multivariate Relations Aggregation Learning in Social Networks. JCDL 2020: 77-86 - [c3]Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. SIGIR 2020: 2153-2156 - 2019
- [c2]Xiangjie Kong, Linyan Wen, Jing Ren, Mingliang Hou, Minghao Zhang, Kang Liu, Feng Xia:
Many-to-Many Collaborator Recommendation Based on Matching Markets Theory. DASC/PiCom/DataCom/CyberSciTech 2019: 109-114 - [c1]Shuo Yu, Yuanhu Liu, Jing Ren, Hayat Dino Bedru, Teshome Megersa Bekele, Liangtian Wan, Feng Xia:
Mining Key Scholars via Collapsed Core and Truss. DASC/PiCom/DataCom/CyberSciTech 2019: 305-308
Informal and Other Publications
- 2024
- [i10]Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia:
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations. CoRR abs/2402.06107 (2024) - 2022
- [i9]Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia:
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. CoRR abs/2202.07832 (2022) - [i8]Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. CoRR abs/2202.11311 (2022) - [i7]Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. CoRR abs/2202.11360 (2022) - [i6]Jing Ren, Feng Xia, Azadeh Noori Hoshyar, Charu C. Aggarwal:
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. CoRR abs/2212.05532 (2022) - 2021
- [i5]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) - [i4]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) - [i3]Jing Ren, Feng Xia, Yemeng Liu, Ivan Lee:
Deep Video Anomaly Detection: Opportunities and Challenges. CoRR abs/2110.05086 (2021) - 2020
- [i2]Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia:
MODEL: Motif-based Deep Feature Learning for Link Prediction. CoRR abs/2008.03637 (2020) - [i1]Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia:
Multivariate Relations Aggregation Learning in Social Networks. CoRR abs/2008.03654 (2020)
Coauthor Index
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