Xovee Xu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 39

Top Topics

Source Localization

Hierarchical Structures

Recent Advances

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski
Predicting Human Mobility via Self-Supervised Disentanglement Learning. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Jienan Zhang, Jie Liu, Zhangtao Cheng, Xovee Xu, Fang Liu, Ting Zhong, Kunpeng Zhang
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract). AAAI (2024)
Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). AAAI (2024)
Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. KDD (2024)
Xovee Xu, Ting Zhong, Fan Zhou, Rongfan Li, Goce Trajcevski, Qinggang Meng
Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction. IEEE Trans. Cybern. 54 (1) (2024)
Xovee Xu, Tangjiang Qian, Zhe Xiao, Ni Zhang, Jin Wu, Fan Zhou
PGSL: A probabilistic graph diffusion model for source localization. Expert Syst. Appl. 238 (Part C) (2024)
Chunjing Xiao, Shikang Pang, Xovee Xu, Xuan Li, Goce Trajcevski, Fan Zhou
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection. CoRR (2024)
Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, Fan Zhou
Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. CIKM (2023)
Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract). AAAI (2023)
Xovee Xu, Yutao Wei, Pengyu Wang, Xucheng Luo, Fan Zhou, Goce Trajcevski
Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint. ICASSP (2023)
Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu, Goce Trajcevski
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay. AAAI (2023)
Xovee Xu, Jiayang Li, Fan Zhou
MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns. CIKM (2023)
Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski
Spatial-Temporal Contrasting for Fine-Grained Urban Flow Inference. IEEE Trans. Big Data 9 (6) (2023)
Xovee Xu, Zhiyuan Wang, Fan Zhou, Ying Huang, Ting Zhong, Goce Trajcevski
Dynamic transformer ODEs for large-scale reservoir inflow forecasting. Knowl. Based Syst. 276 (2023)
Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu
CCGL: Contrastive Cascade Graph Learning. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Chunjing Xiao, Xovee Xu, Yue Lei, Kunpeng Zhang, Siyuan Liu, Fan Zhou
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract). AAAI (2023)
Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou
Learning Latent Seasonal-Trend Representations for Time Series Forecasting. NeurIPS (2022)
Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. AAAI (2022)
Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). AAAI (2022)
Qiang Gao, Jinyu Hong, Xovee Xu, Ping Kuang, Fan Zhou, Goce Trajcevski
Predicting Human Mobility via Self-supervised Disentanglement Learning. CoRR (2022)
Fan Zhou, Pengyu Wang, Xovee Xu, Wenxin Tai, Goce Trajcevski
Contrastive Trajectory Learning for Tour Recommendation. ACM Trans. Intell. Syst. Technol. 13 (1) (2022)
Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu, Xucheng Luo, Fan Zhou
Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows. ICASSP (2022)
Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). AAAI (2022)
Xovee Xu, Ting Zhong, Ce Li, Goce Trajcevski, Fan Zhou
Heterogeneous dynamical academic network for learning scientific impact propagation. Knowl. Based Syst. 238 (2022)
Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). AAAI (2022)
Liu Yu, Xovee Xu, Goce Trajcevski, Fan Zhou
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction. Knowl. Based Syst. 255 (2022)
Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu
CCGL: Contrastive Cascade Graph Learning. CoRR (2021)
Fan Zhou, Liu Yu, Xovee Xu, Goce Trajcevski
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction. SIGIR (2021)
Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang
Vector-Quantized Autoencoder With Copula for Collaborative Filtering. CIKM (2021)
Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances. ACM Comput. Surv. 54 (2) (2021)
Fan Zhou, Ce Li, Xovee Xu, Leyuan Liu, Goce Trajcevski
HGENA: A Hyperbolic Graph Embedding Approach for Network Alignment. GLOBECOM (2021)
Fan Zhou, Xovee Xu, Kunpeng Zhang, Goce Trajcevski, Ting Zhong
Variational Information Diffusion for Probabilistic Cascades Prediction. INFOCOM (2020)
Fan Zhou, Zijing Wen, Ting Zhong, Goce Trajcevski, Xovee Xu, Leyuan Liu
Unsupervised User Identity Linkage via Graph Neural Networks. GLOBECOM (2020)
Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact. CoRR (2020)
Fan Zhou, Xin Jing, Xovee Xu, Ting Zhong, Goce Trajcevski, Jin Wu
Continual Information Cascade Learning. GLOBECOM (2020)
Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang
A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances. CoRR (2020)
Fan Zhou, Xiuxiu Qi, Xovee Xu, Jiahao Wang, Ting Zhong, Goce Trajcevski
Meta-Learned User Preference for Topic Participation Prediction. GLOBECOM (2020)