My photo Xovee Xu (徐增)

Bio: Xovee Xu is current a third-year master student major in software engineering at the University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China. He received the B.S. degree in software engineering from UESTC in 2018.
He is the author of several research articles published in INFOCOM, GLOBECOM, and CSUR. His research interests include social network data mining and knowledge discovery, especially focus on information diffusion, information cascade, user behavior analysis, spatial-temporal data modeling, large-scale graph learning, and science of science in various real-world applications.
Mr. Xu has served as reviewer for refereed conferences and journals including KDD, AAAI, TNNLS, and IEEE BigData. He is a member of the IEEE and ACM. Curriculum Vitae [.pdf]

EmaiI: xovee AT live.com; xovee AT std.uestc.edu.cn

Links: ORCID, Google Scholar, LinkedIn, GitHub, Semantic Scholar, publons, DBLP, ResearchGate, Instagram, Douban, CSDN
Education
2018 - presentM.Eng. in Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
2014 - 2018B.Eng. in Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
▹ Publication
If you care about conference/journal ranking:
CCF Conference/Journal Rank:
CAS Journal Rank:
i6, 2021 Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski, and Xi Wu
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Super-Resolution
Under review, 2021.
i5, 2021 Fan Zhou, Pengyu Wang, Xovee Xu*, and Goce Trajcevski
Contrastive Trajectory Learning for Tour Recommendation
Under review, 2021.
i4, 2021 Fan Zhou, Ce Li, Xovee Xu, Xucheng Luo, and Ting Zhong
HGENA: A Hyperbolic Graph Embedding Approach for Social Network Alignment
Under review, 2021.
i3, 2020 Xovee Xu, Fan Zhou, Kunpeng Zhang, and Siyuan Liu
CCGL: Contrastive Cascade Graph Learning
Under review, 2020, pp. 1-15. [code]
C4, GLOBECOM '20 Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang*, Ting Zhong, and Goce Trajcevski
Meta-Learned User Preference for Topic Participation Prediction
IEEE Global Communications Conference (GLOBECOM), Virtual Conference, Dec 7-11, 2020, pp. 1-6, doi:10.1109/GLOBECOM42002.2020.9322197. [link]
C3, GLOBECOM '20 Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, and Leyuan Liu
Unsupervised User Identity Linkage via Graph Neural Networks
IEEE Global Communications Conference (GLOBECOM), Virtual Conference, Dec 7-11, 2020, pp. 1-6, doi:10.1109/GLOBECOM42002.2020.9322311. [link]
C2, GLOBECOM '20 Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, and Jin Wu
Continual Information Cascade Learning
IEEE Global Communications Conference (GLOBECOM), Virtual Conference, Dec 7-11, 2020, pp. 1-6, doi:10.1109/GLOBECOM42002.2020.9322124. [link]
i2, 2020 Fan Zhou, Xovee Xu*, Kunpeng Zhang, Siyuan Liu, and Goce Trajcevski
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
Under review, 2020, pp. 1-14. [code]
J1, CSUR Fan Zhou, Xovee Xu*, Goce Trajcevski, and Kunpeng Zhang
A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances
ACM Computing Surveys (CSUR), 2020. [pdf]
i1, arXiv '20 Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong and, Kunpeng Zhang
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
arXiv:2003.12042, under review, 2020, pp. 1-8. [pdf, code]
C1, INFOCOM '20 Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong
Variational Information Diffusion for Probabilistic Cascades Prediction
IEEE International Conference on Computer Communications (INFOCOM), Virtual Conference, Jul 6-9, 2020, pp. 1618-1627, doi:10.1109/INFOCOM41043.2020.9155349. [link]
▹ Distinction
2020INFOCOM 2020 Student Conference Award - IEEE ComSoc
2020Outstanding Graduate - UESTC
2020First Prize Scholarship - UESTC
▹ Service & Membership
Reviewer:
See also my publons profile.
Membership:
▹ Project
May, 2019 - present UESTC Course [GitHub] [431 stars] [99 forks], Self-motivated.
A public repository on GitHub that contains review materials of courses (arranged and uploaded by students) at University of Electronic Science and Technology of China (UESTC).
• Open and free platform for students of UESTC to easily access the course review materials.
• Now our repo contains more than 30 courses, 400 files included and is still growing.
Aug 3, 2018 - presentTechnical Blogs (in Chinese) [CSDN], [Zhihu], Self-motivated.
I've written more than 130 articles, topics including artificial intelligence, machine/deep/representation learning, data mining, statistics, mathematics, English tech-article translations, LaTeX, Matplotlib, Python, tutorials, solutions of warnings/errors, etc.
• Over 300K+ article views in total, ranking 22K among 2M+ CSDN bloggers.
Sept, 2018 - May, 2019Translation of "Neural Networks and Deep Learning" [CSDN] [GitHub], Self-motivated.
Simplified Chinese edition of the original online book written by Michael Nielsen.
▹ Intern
▹ Others

Last update: Feb 4, 2021. Designed by: Xovee Xu