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Publication

Followings are of Xovee Xu in reverse chronological order grouped by year. See also in Google Scholar, DBLP, publons, Curriculum Vitae, bibilography (bibtex), or ORCID (0000-0001-6415-7558).

* Corresponding, † Equal Contribution

2022 | 2021 | 2020


2022

Affiliation: University of Electronic Science and Technology of China (UESTC), as PhD student.

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Super-Resolution
Xovee Xu, Ting Zhong, Fan Zhou*, and Goce Trajcevski
Under Review
code

Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract)
Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, and Fan Zhou
AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb 22 - Mar 1, 2021, 2 pages, Accepted

Vector-Quantized Autoencoder With Copula for Collaborative Filtering (Student Abstract)
Guanyu Wang, Xovee Xu, Ting Zhong, and Fan Zhou
AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb 22 - Mar 1, 2021, 2 pages, Accepted

Fine-Grained Urban Flow Inference via Normalizing Flows (Student Abstract)
Haoyang Yu, Xovee Xu, Ting Zhong, and Fan Zhou
AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb 22 - Mar 1, 2021, 2 pages, Accepted

2021

Affiliation: University of Electronic Science and Technology of China (UESTC), as master student, from September as PhD student.

HGENA: A Hyperbolic Graph Embedding Approach for Social Network Alignment
Fan Zhou, Ce Li, Xovee Xu, Xucheng Luo, and Ting Zhong
IEEE Global Communications Conference (GLOBECOM), Hybrid Conference (In-person/Virtual), Madrid, Spain, Dec 7-11, 2021, 6 pages, Accepted

Heterogeneous Dynamical Academic Network for Learning Scientific Impact Propagation
Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, and Fan Zhou*
Knowledge-Based Systems, 20 pages, 2021, Accepted
code

Contrastive Trajectory Learning for Tour Recommendation
Fan Zhou, Pengyu Wang, Xovee Xu*, Wenxin Tai, and Goce Trajcevski
ACM Transactions on Intelligent Systems and Technology (TIST), vol. 13, no. 1, article 4, 25 pages, Nov 2021
Special Issue on Intelligent Trajectory Data Analytics

CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
Xovee Xu, Fan Zhou*, Kunpeng Zhang, Siyuan Liu, and Goce Trajcevski
IEEE Transactions on Knowledge and Data Engineering (TKDE), 14 pages, Nov 2021, Accepted
code

Vector-Quantized Autoencoder With Copula for Collaborative Filtering
Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou*, and Yong Wang
ACM International Conference on Information and Knowledge Management (CIKM), Virtual Event, Nov 1-5, 2021, pp. 3458-3462

CCGL: Contrastive Cascade Graph Learning
Xovee Xu, Fan Zhou*, Kunpeng Zhang, and Siyuan Liu
arXiv:2107.12576, Jul 2021, 14 pages
code

Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
Fan Zhou, Liu Yu, Xovee Xu*, and Goce Trajcevski
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Virtual Event, Jul 11-15, 2021, pp. 1875-1879

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Fan Zhou, Xovee Xu*, Goce Trajcevski, and Kunpeng Zhang
ACM Computing Surveys (CSUR), vol. 54, no. 2, article 27, 36 pages, Mar 2021, arXiv:2005.11041

2020

Affiliation: University of Electronic Science and Technology of China (UESTC), as master student.

Meta-Learned User Preference for Topic Participation Prediction
Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang*, Ting Zhong, and Goce Trajcevski
IEEE Global Communications Conference (GLOBECOM), Virtual Conference, Dec 7-11, 2020, 6 pages

Unsupervised User Identity Linkage via Graph Neural Networks
Fan Zhou, Zijing Wen, Ting Zhong*, Goce Trajcevski, Xovee Xu, and Leyuan Liu*
IEEE Global Communications Conference (GLOBECOM), Virtual Conference, Dec 7-11, 2020, 6 pages

Continual Information Cascade Learning
Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, and Jin Wu*
IEEE Global Communications Conference (GLOBECOM), Virtual Conference, Dec 7-11, 2020, 6 pages

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

Variational Information Diffusion for Probabilistic Cascade Prediction
Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, and Ting Zhong*
IEEE International Conference on Computer Communications (INFOCOM), Virtual Conference, Jul 6-9, 2020, pp. 1618-1627
INFOCOM 2020 Student Conference Award


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