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Jan 2019 at
Chengdu, China
Xovee Xu

Bio: I am currently a third-year master student major in software engineering at the University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China, advised by Fan Zhou and Ting Zhong. My research interests include social network data mining and knowledge discovery, primarily focuses on information diffusion in large-scale graphs, human behavior understanding, and spatial-temporal data modeling in various social and academic scenarios.
Curriculum Vitae [.pdf], FULL BIO, and ALL ARTICLES.

Contact: No.4, Sect.2, N Jianshe Rd, Chenghua Dist, Chengdu, Sichuan 610054, China

Email: first name AT or AT

Links: ORCID, Google Scholar, LinkedIn, GitHub, publons, DBLP , ResearchGate, Semantic Scholar, Instagram, Douban, CSDN


Articles | Projects

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2021 & 2020

[TIST `21] Fan Zhou, Pengyu Wang, Xovee Xu*, Wenxin Tai, and Goce Trajcevski. 2021. Contrastive Trajcetory Learning for Tour Recommendation. ACM Transactions on Intelligent Systems and Technology (TIST), 2021, Accepted.

[SIGIR `21] Fan Zhou, Liu Yu, Xovee Xu*, and Goce Trajcevski. 2021. Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Online, Jul 11-15, 2021, 5 pages, Accepted.

[CSUR `21] Fan Zhou, Xovee Xu*, Goce Trajcevski, and Kunpeng Zhnag. 2021. A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances. ACM Computing Surveys (CSUR), vol. 54, no. 2, article 27, 36 pages, Mar 2021, doi:10.1145/3433000, arXiv:2005.11041 [link, arXiv]

[GLOBECOM `20] Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang*, Ting Zhong, and Goce Trajcevski. 2020. Meta-Learned User Preference for Topic Participation Prediction. IEEE Global Communications Conference (GLOBECOM), Virtual Conference, Dec 7-11, 2020, 6 pages, doi:10.1109/GLOBECOM42002.2020.9322197 [link]

[GLOBECOM `20] Fan Zhou, Zijing Wen, Ting Zhong*, Goce Trajcevski, Xovee Xu, and Leyuan Liu*. 2020. Unsupervised User Identity Linkage via Graph Neural Networks. IEEE Global Communications Conference (GLOBECOM), Virtual Conference, Dec 7-11, 2020, 6 pages, doi:10.1109/GLOBECOM42002.2020.9322311 [link]

[GLOBECOM `20] Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, and Jin Wu*. 2020. Continual Information Cascade Learning. IEEE Global Communications Conference (GLOBECOM), Virtual Conference, Dec 7-11, 2020, 6 pages, doi:10.1109/GLOBECOM42002.2020.9322124 [link]

[arXiv `20] Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, and Kunpeng Zhang. 2020. A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. arXiv:2003.12042, Mar 2020, 8 pages [link]

[INFOCOM `20] Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong*. 2020. Variational Information Diffusion for Probabilistic Cascade Prediction. IEEE International Conference on Computer Communications (INFOCOM), Virtual Conference, Jul 6-9, 2020, pp. 1618-1627, doi:10.1109/INFOCOM41043.2020.9155349 [link]
INFOCOM 2020 Student Conference Award

* Corresponding

[May 2019 to present] UESTC Course is a public resource repository on GitHub that contains review materials of courses at University of Electronic Science and Technology of China (UESTC). The course materials are arranged and uploaded by students. I am the main creator and maintainer of this repo (from May 2019 to present). PS: If you are a student of UESTC, welcome to contribute resources.

[Aug 2018 to present] I write Chinese tech blogs in CSDN and Zhihu since Aug 2018, topics include artificial intelligence, machine learning, tech article translation, LaTeX, PyThon, and so on. My blogs received more than 300k views and I ranked 20K among 30M CSDN users.

[Sep 2018 to May 2019] I translated an online book entitled "Neural Networks and Deep Learning" written by Michael Nielsen into Simplified Chinese. [CSDN, GitHub]