Xovee Xu

According to our database, Xovee Xu authored at least 34 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Predicting Human Mobility via Self-Supervised Disentanglement Learning.

Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski

IEEE Trans. Knowl. Data Eng., May, 2024

PGSL: A probabilistic graph diffusion model for source localization.

Xovee Xu, Tangjiang Qian, Zhe Xiao, Ni Zhang, Jin Wu, Fan Zhou

Expert Syst. Appl., March, 2024

Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction.

Xovee Xu, Ting Zhong, Fan Zhou, Rongfan Li, Goce Trajcevski, Qinggang Meng

IEEE Trans. Cybern., January, 2024

THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract).

Jienan Zhang, Jie Liu, Zhangtao Cheng, Xovee Xu, Fang Liu, Ting Zhong, Kunpeng Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract).

Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference.

Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski

IEEE Trans. Big Data, December, 2023

Counterfactual Graph Learning for Anomaly Detection on Attributed Networks.

Chunjing Xiao, Xovee Xu, Yue Lei, Kunpeng Zhang, Siyuan Liu, Fan Zhou

IEEE Trans. Knowl. Data Eng., October, 2023

CCGL: Contrastive Cascade Graph Learning.

Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu

IEEE Trans. Knowl. Data Eng., May, 2023

CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.

Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu, Goce Trajcevski

IEEE Trans. Knowl. Data Eng., April, 2023

Dynamic transformer ODEs for large-scale reservoir inflow forecasting.

Xovee Xu, Zhiyuan Wang, Fan Zhou, Ying Huang, Ting Zhong, Goce Trajcevski

Knowl. Based Syst., 2023

Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint.

Xovee Xu, Yutao Wei, Pengyu Wang, Xucheng Luo, Fan Zhou, Goce Trajcevski

Proceedings of the IEEE International Conference on Acoustics, 2023

MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns.

Xovee Xu, Jiayang Li, Fan Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction.

Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, Fan Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract).

Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract).

Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay.

Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Contrastive Trajectory Learning for Tour Recommendation.

Fan Zhou, Pengyu Wang, Xovee Xu, Wenxin Tai, Goce Trajcevski

ACM Trans. Intell. Syst. Technol., 2022

Transformer-enhanced Hawkes process with decoupling training for information cascade prediction.

Liu Yu, Xovee Xu, Goce Trajcevski, Fan Zhou

Knowl. Based Syst., 2022

Heterogeneous dynamical academic network for learning scientific impact propagation.

Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, Fan Zhou

Knowl. Based Syst., 2022

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances.

Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang

ACM Comput. Surv., 2022

Learning Latent Seasonal-Trend Representations for Time Series Forecasting.

Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows.

Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu, Xucheng Luo, Fan Zhou

Proceedings of the IEEE International Conference on Acoustics, 2022

Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract).

Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract).

Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract).

Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model.

Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction.

Fan Zhou, Liu Yu, Xovee Xu, Goce Trajcevski

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment.

Fan Zhou, Ce Li, Xovee Xu, Leyuan Liu, Goce Trajcevski

Proceedings of the IEEE Global Communications Conference, 2021

Vector-Quantized Autoencoder With Copula for Collaborative Filtering.

Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact.

Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang

CoRR, 2020

Variational Information Diffusion for Probabilistic Cascades Prediction.

Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Unsupervised User Identity Linkage via Graph Neural Networks.

Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, Leyuan Liu

Proceedings of the IEEE Global Communications Conference, 2020

Meta-Learned User Preference for Topic Participation Prediction.

Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang, Ting Zhong, Goce Trajcevski

Proceedings of the IEEE Global Communications Conference, 2020

Continual Information Cascade Learning.

Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, Jin Wu

Proceedings of the IEEE Global Communications Conference, 2020