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* Corresponding, † Equal

2022

Affiliation: PhD student of University of Electronic Science and Technology of China

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

Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract)
Guanyu Wang, Xovee Xu, Ting Zhong*, and Fan Zhou
AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb 22 - Mar 1, 2022, 2 pages, Accepted

Probabilistic Fine-Grained Urban Flow Inference With Normalizing Flows
Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu*, Xucheng Luo, and Fan Zhou
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Singapore & Online, May 22-27, 2022, pp. 3663-3667
data video

CCGL: Contrastive Cascade Graph Learning
Xovee Xu, Fan Zhou*, Kunpeng Zhang, and Siyuan Liu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 15 pages, Feb 2022, Early-Access, arXiv:2107.12576
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, 2022, 2 pages, Accepted

Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract)
Guanyu Wang, Xovee Xu, Ting Zhong*, and Fan Zhou
AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb 22 - Mar 1, 2022, 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, 2022, 2 pages, Accepted

PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
Zhiyuan Wang†, Xovee Xu†, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Fan Zhou*
AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb 22 - Mar 1, 2022, 9 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, vol. 238, pp. 107839, Feb 2022
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, Feb 2022
Special Issue on Intelligent Trajectory Data Analytics

2021

Affiliation: Master student of University of Electronic Science and Technology of China, from September as PhD student

HGENA: A Hyperbolic Graph Embedding Approach for Social Network Alignment
Fan Zhou, Ce Li, Xovee Xu, Leyuan Liu*, and Goce Trajcevski
IEEE Global Communications Conference (GLOBECOM), Hybrid Conference, Madrid, Spain, Dec 7-11, 2021, 6 pages

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), 15 pages, Nov 2021, Early-Access
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

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: Master student of University of Electronic Science and Technology of China

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 Event, Jul 6-9, 2020, pp. 1618-1627
INFOCOM 2020 Student Conference Award
video



Information cascade

Science of science

Urban computing

Network alignment

Recommender system

Human trajectory learning

Applied data application


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