% BibTeX Entries % All papers co-authored by Xovee Xu % Contact: xovee.xu at gmail.com @article{cheng2025information, author = {Zhangtao Cheng and Jienan Zhang and Xovee Xu and Wenxin Tai and Fan Zhou and Goce Trajcevski and Ting Zhong}, title = {Information Diffusion Prediction via Meta-Knowledge Learners}, journal = {Information Sciences}, volume = {707}, numpages = {20}, articleno = {122034}, month = {7}, year = {2025}, publisher = {Elsevier}, doi = {10.1016/j.ins.2025.122034} } @inproceedings{zhou2021hgena, author = {Jiayang Li and Xovee Xu and Yili Li and Ting Zhong and Kunpeng Zhang and Fan Zhou}, title = {Commonality Augmented Disentanglement for Multimodal Crowdfunding Success Prediction}, booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}, location = {Hyderabad, India}, month = {4}, year = {2025}, numpages = {5}, doi = {10.1109/ICASSP49660.2025.10889564}, publisher = {IEEE} } @inproceedings{liu2024denoising, author = {Leyuan Liu and Zhangtao Cheng and Xovee Xu and Fan Zhou}, title = {Denoising Propagation Uncertainty for Information Source Localization}, booktitle = {IEEE Global Communications Conference (GLOBECOM)}, location = {Cape Town, South Africa}, month = {12}, year = {2024}, pages = {4244--4249}, doi = {10.1109/GLOBECOM52923.2024.10901676}, publisher = {IEEE} } @article{xu2024overcoming, author = {Xovee Xu and Ting Zhong and Haoyang Yu and Fan Zhou and Goce Trajcevski}, title = {Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference}, journal = {ACM Transactions on Spatial Algorithms and Systems (TSAS)}, volume = {10}, number = {4}, numpages = {26}, articleno = {34}, month = {10}, year = {2024}, issue_date = {December 2024}, publisher = {ACM}, doi = {10.1145/3660523} } @article{cheng2024information, author = {Zhangtao Cheng and Fan Zhou and Xovee Xu and Kunpeng Zhang and Goce Trajcevski and Ting Zhong and Philip S. Yu}, title = {Information Cascade Prediction via Probabilistic Diffusion}, journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)}, volume = {36}, number = {12}, pages = {8541--8555}, month = {9}, year = {2024}, issue_date = {December 2024}, publisher = {IEEE}, doi = {10.1109/tkde.2024.3465241} } @article{liu2024exploring, author = {Xin Liu and Yi He and Wenxin Tai and Xovee Xu and Fan Zhou and Guangchun Luo}, title = {Exploring the Chameleon Effect of Contextual Dynamics in Temporal Knowledge Graph for Event Prediction}, journal = {Tsinghua Science and Technology}, volume = {30}, number = {1}, pages = {433--455}, month = {9}, year = {2024}, issue_date = {February 2022}, publisher = {TUP}, doi = {10.26599/tst.2024.9010067} } @inproceedings{cheng2024retrieval, author = {Zhangtao Cheng and Jienan Zhang and Xovee Xu and Goce Trajcevski and Ting Zhong and Fan Zhou}, title = {Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction}, booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)}, location = {Virtual Event}, month = {8}, year = {2024}, pages = {445--455}, doi = {10.1145/3637528.3672041}, publisher = {ACM} } @inproceedings{gu2024rre, author = {Jiayang Gu and Xovee Xu and Yulu Tian and Yurun Hu and Jiadong Huang and Wenliang Zhong and Fan Zhou and Lianli Gao}, title = {{RRE}: A Relevance Relation Extraction Framework for Cross-Domain Recommender System at Alipay}, booktitle = {IEEE International Conference on Multimedia and Expo (ICME)}, location = {Niagara Falls, Canada}, month = {7}, year = {2024}, numpages = {6}, doi = {10.1109/ICME57554.2024.10687762}, publisher = {IEEE} } @article{xiao2024counterfactual, author = {Chunjing Xiao and Shikang Pang and Xovee Xu and Xuan Li and Goce Trajcevski and Fan Zhou}, title = {Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection}, journal = {IEEE Transactions on Computational Social Systems (TCSS)}, volume = {11}, number = {6}, pages = {7555--7567}, month = {6}, year = {2024}, issue_date = {December 2024}, publisher = {IEEE}, doi = {10.1109/TCSS.2024.3403503} } @article{xu2024pgsl, author = {Xovee Xu and Tangjiang Qian and Zhe Xiao and Ni Zhang and Jin Wu and Fan Zhou}, title = {{PGSL}: A Probabilistic Graph Diffusion Model for Source Localization}, journal = {Expert Systems With Applications}, volume = {238}, numpages = {13}, articleno = {122028}, month = {3}, year = {2024}, publisher = {Elsevier}, doi = {10.1016/j.eswa.2023.122028} } @article{li2024measuring, author = {Zhenhui Li and Fan Zhou and Zhiyuan Wang and Xovee Xu and Leyuan Liu and Guangqiang Yin}, title = {Measuring and Classifying {IP} Usage Scenarios: A Continuous Neural Trees Approach}, journal = {Scientific Reports}, volume = {14}, numpages = {10}, articleno = {5144}, month = {3}, year = {2024}, publisher = {Springer Nature}, doi = {10.1038/s41598-024-55750-x} } @inproceedings{xu2023mdcc, author = {Xovee Xu and Jiayang Li and Fan Zhou}, title = {{MDCC}: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns}, booktitle = {ACM International Conference on Information and Knowledge Management (CIKM)}, month = {10}, year = {2023}, location = {Brimingham, UK}, pages = {5417--5421}, doi = {10.1145/3583780.3615124}, publisher = {ACM} } @inproceedings{li2023simplifying, author = {Ce Li and Rongpei Hong and Xovee Xu and Goce Trajcevski and Fan Zhou}, title = {Simplifying Temporal Heterogeneous Network for Continuous-Time Link Prediction}, booktitle = {ACM International Conference on Information and Knowledge Management (CIKM)}, month = {10}, year = {2023}, location = {Brimingham, UK}, pages = {1288--1297}, doi = {10.1145/3583780.3615059}, publisher = {ACM} } @article{gao2023predicting, author = {Qiang Gao and Jinyu Hong and Xovee Xu and Ping Kuang and Fan Zhou and Goce Trajcevski}, title = {Predicting Human Mobility via Self-Supervised Disentanglement Learning}, journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)}, volume = {36}, number = {5}, pages = {2126--2141}, month = {9}, year = {2023}, issue_date = {May 2024}, publisher = {IEEE}, doi = {10.1109/tkde.2023.3317175} } @article{xu2023dynamic, author = {Xovee Xu and Zhiyuan Wang and Fan Zhou and Ying Huang and Ting Zhong and Goce Trajcevski}, title = {Dynamic {Transformer ODEs} for Large-Scale Reservoir Inflow Forecasting}, journal = {Knowledge-Based Systems}, volume = {276}, numpages = {16}, articleno = {110737}, month = {9}, year = {2023}, doi = {10.1016/j.knosys.2023.110737}, publisher = {Elsevier} } @article{xu2023spatial, author = {Xovee Xu and Zhiyuan Wang and Qiang Gao and Ting Zhong and Bei Hui and Fan Zhou and Goce Trajcevski}, title = {Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference}, journal = {IEEE Transactions on Big Data}, volume = {9}, number = {6}, pages = {1711--1725}, month = {9}, year = {2023}, issue_date = {December 2023}, publisher = {IEEE}, doi = {10.1109/TBDATA.2023.3316471} } @article{xu2023learning, author = {Xovee Xu and Ting Zhong and Fan Zhou and Rongfan Li and Goce Trajcevski and Qinggang Meng}, title = {Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction}, journal = {IEEE Transactions on Cybernetics}, volume = {54}, number = {1}, pages = {572--585}, month = {7}, year = {2023}, issue_date = {January 2024}, publisher = {IEEE}, doi = {10.1109/TCYB.2023.3291049} } @inproceedings{xu2023, author = {Xovee Xu and Yutao Wei and Pengyu Wang and Xucheng Luo and Fan Zhou and Goce Trajcevski}, title = {Diffusion Probabilistic Modeling for Fine-Grained Traffic Flow Inference with Relaxed Structural Constraint}, booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}, location = {Rhodes, Greece}, month = {6}, year = {2023}, numpages = {5}, doi = {10.1109/ICASSP49357.2023.10096169}, publisher = {IEEE} } @article{xiao2023counterfactual, author = {Chunjing Xiao and Xovee Xu and Yue Lei and Kunpeng Zhang and Siyuan Liu and Fan Zhou}, title = {Counterfactual Graph Learning for Anomaly Detection on Attributed Networks}, journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)}, volume = {35}, number = {10}, pages = {10540--10553}, month = {2}, year = {2022}, issue_date = {October 2023}, publisher = {IEEE}, doi = {10.1109/TKDE.2023.3250523} } @inproceedings{yu2022overcoming, author = {Haoyang Yu and Xovee Xu and Ting Zhong and Fan Zhou}, title = {Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay}, booktitle = {AAAI Conference on Artificial Intelligence}, location = {Washington DC, USA}, volume = {37}, number = {4}, month = {2}, year = {2023}, pages = {5393--5401}, doi = {10.1609/aaai.v37i4.25671}, publisher = {AAAI} } @inproceedings{wang2022learning, author = {Zhiyuan Wang and Xovee Xu and Goce Trajcevski and Weifeng Zhang and Ting Zhong and Fan Zhou}, title = {Learning Latent Seasonal-Trend Representations for Time Series Forecasting}, booktitle = {Conference on Neural Information Processing Systems (NeurIPS)}, location = {New Orleans, USA}, month = {11}, year = {2022}, pages = {38775--38787}, url = {https://dblp.org/rec/conf/nips/WangXZTZ022}, publisher = {Curran Associates, Inc.} } @inproceedings{cao2022probabilistic, author = {Yang Cao and Zhenzhen Dang and Feng Wu and Xovee Xu and Fan Zhou}, title = {Probabilistic Electricity Demand Forecasting with Transformer-Guided State Space Model}, booktitle = {IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)}, location = {Shenyang, China}, month = {11}, year = {2022}, pages = {964--969}, doi = {10.1109/AUTEEE56487.2022.9994294}, publisher = {IEEE} } @article{liu2022transformer, author = {Yu Liu and Xovee Xu and Goce Trajcevski and Fan Zhou}, title = {Transformer-Enhanced {Hawkes} Process with Decoupling Training for Information Cascade Prediction}, journal = {Knowledge-Based Systems}, volume = {255}, numpages = {18}, articleno = {109740}, month = {11}, year = {2022}, doi = {10.1016/j.knosys.2022.109740}, publisher = {Elsevier} } @inproceedings{zhong2022probabilistic, author = {Ting Zhong and Haoyang Yu and Rongfan Li and Xovee Xu and Xucheng Luo and Fan Zhou}, title = {Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows}, booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}, location = {Singapore}, month = {5}, year = {2022}, pages = {3663--3667}, doi = {10.1109/ICASSP43922.2022.9747900}, publisher = {IEEE} } @article{xu2022heterogeneous, title = {Heterogeneous Dynamical Academic Network for Learning Scientific Impact Propagation}, author = {Xovee Xu and Ting Zhong and Ce Li and Goce Trajcevski and Fan Zhou}, journal = {Knowledge-Based Systems}, volume = {238}, numpages = {17}, articleno = {107839}, month = {2}, year = {2022}, publisher = {Elsevier}, doi = {10.1016/j.knosys.2021.107839} } @inproceedings{wang2022pref, author = {Zhiyuan Wang and Xovee Xu and Goce Trajcevski and Kunpeng Zhang and Ting Zhong and Fan Zhou}, title = {{PrEF}: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model}, booktitle = {AAAI Conference on Artificial Intelligence}, location = {Virtual Event}, month = {2}, year = {2022}, pages = {12200--12207}, doi = {10.1609/aaai.v36i11.21480}, publisher = {AAAI} } @article{xu2022ccgl, title = {{CCGL}: Contrastive Cascade Graph Learning}, author = {Xovee Xu and Fan Zhou and Kunpeng Zhang and Siyuan Liu}, journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)}, volume = {35}, number = {5}, pages = {4539--4554}, month = {2}, year = {2022}, issue_date = {May 2023}, publisher = {IEEE}, doi = {10.1109/TKDE.2022.3151829} } @inproceedings{zhou2021hgena, author = {Fan Zhou and Ce Li and Xovee Xu and Leyuan Liu and Goce Trajcevski}, title = {{HGENA}: A Hyperbolic Graph Embedding Approach for Network Alignment}, booktitle = {IEEE Global Communications Conference (GLOBECOM)}, location = {Virtual Event}, month = {12}, year = {2021}, pages = {1--6}, publisher = {IEEE}, doi = {10.1109/GLOBECOM46510.2021.9685690} } @article{zhou2021contrastive, title = {Contrastive Trajectory Learning for Tour Recommendation}, author = {Zhou, Fan and Wang, Pengyu and Xu, Xovee and Tai, Wenxin and Trajcevski, Goce}, journal = {ACM Transactions on Intelligent Systems and Technology (TIST)}, volume = {13}, number = {1}, numpages = {25}, articleno = {4}, month = {11}, year = {2021}, issue_date = {February 2022}, publisher = {ACM}, doi = {10.1145/3462331} } @article{xu2021casflow, title = {{CasFlow}: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction}, author = {Xovee Xu and Fan Zhou and Kunpeng Zhang and Siyuan Liu and Goce Trajcevski}, journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)}, volume = {35}, number = {4}, pages = {3484--3499}, month = {11}, year = {2021}, issue_date = {April 2023}, publisher = {IEEE}, doi = {10.1109/TKDE.2021.3126475} } @inproceedings{zhou2021vector, author = {Guanyu Wang and Ting Zhong and Xovee Xu and Kunpeng Zhang and Yong Wang}, title = {Vector-Quantized Autoencoder with Copula for Collaborative Filtering}, booktitle = {ACM International Conference on Information and Knowledge Management (CIKM)}, location = {Virtual Event}, month = {11}, year = {2021}, pages = {3458--3462}, publisher = {ACM}, doi = {10.1145/3459637.3482216} } @inproceedings{zhou2021decoupling, author = {Fan Zhou and Liu Yu and Xovee Xu and Goce Trajcevski}, title = {Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction}, booktitle = {International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)}, location = {Virtual Event}, month = {7}, year = {2021}, pages = {1875--1879}, publisher = {ACM}, doi = {10.1145/3404835.3463104} } @masterthesis{xu2021research, author = {Xovee Xu}, advisor = {Ting Zhong}, title = {A Research of Information Diffusion Models and Popularity Prediction Using Graph Neural Networks}, school = {University of Electronic Science and Technology of China}, year = {2021}, address = {Chengdu, China}, type = {Master's thesis}, doi = {10.27005/d.cnki.gdzku.2021.001672} } @article{zhou2021survey, title = {A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances}, author = {Fan Zhou and Xovee Xu and Goce Trajcevski and Kunpeng Zhang}, journal = {ACM Computing Surveys}, volume = {54}, number = {2}, numpages = {36}, articleno = {27}, month = {3}, year = {2021}, issue_date = {March 2022}, publisher = {ACM}, doi = {10.1145/3433000} } @inproceedings{zhou2020variational, author = {Fan Zhou and Xin Jing and Xovee Xu and Ting Zhong and Goce Trajcevski and Jin Wu}, title = {Continual Information Cascade Learning}, booktitle = {IEEE Global Communications Conference (GLOBECOM)}, location = {Virtual Event}, month = {December}, year = {2020}, pages = {1--6}, publisher = {IEEE}, doi = {10.1109/globecom42002.2020.9322124} } @inproceedings{zhou2020meta, author = {Fan Zhou and Xiuxiu Qi and Xovee Xu and Jiahao Wang and Ting Zhong and Goce Trajcevski}, title = {Meta-Learned User Preference for Topic Participation Prediction}, booktitle = {IEEE Global Communications Conference (GLOBECOM)}, location = {Virtual Event}, month = {December}, year = {2020}, pages = {1--6}, publisher = {IEEE}, doi = {10.1109/globecom42002.2020.9322197} } @inproceedings{zhou2020unsupervised, author = {Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, and Leyuan Liu}, title = {Unsupervised User Identity Linkage via Graph Neural Networks}, booktitle = {IEEE Global Communications Conference (GLOBECOM)}, location = {Virtual Event}, month = {December}, year = {2020}, pages = {1--6}, publisher = {IEEE}, doi = {10.1109/globecom42002.2020.9322311} } @inproceedings{zhou2020variational, author = {Fan Zhou and Xovee Xu and Kunpeng Zhang and Goce Trajcevski and Ting Zhong}, title = {Variational Information Diffusion for Probabilistic Cascade Prediction}, booktitle = {IEEE International Conference on Computer Communications (INFOCOM)}, location = {Virtual Event}, month = {July}, year = {2020}, pages = {1618--1627}, publisher = {IEEE}, doi = {10.1109/infocom41043.2020.9155349} } @article{zhou2020heterogeneous, author = {Fan Zhou and Xovee Xu and Ce Li and Goce Trajcevski and Ting Zhong and Kunpeng Zhang}, title = {A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact}, month = {March}, year = {2020}, eprint = {2003.12042}, archivePrefix = {arXiv}, primaryClass = {cs.SI}, doi = {10.48550/arXiv.2003.12042} }