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Xovee Xu
Xovee Xu
Otros nombres徐增, Zeng Xu
PhD Candidate, UESTC, 徐增
Dirección de correo verificada de std.uestc.edu.cn - Página principal
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Citado por
Citado por
Año
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
F Zhou, X Xu, G Trajcevski, K Zhang
ACM Computing Surveys 54 (2), 27:1-27:36, 2021
1842021
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
Z Wang, X Xu, G Trajcevski, W Zhang, T Zhong, F Zhou
NeurIPS 35, 38775-38787, 2022
682022
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
X Xu, F Zhou, K Zhang, S Liu, G Trajcevski
IEEE Transactions on Knowledge and Data Engineering 35 (4), 3484-3499, 2021
502021
Variational Information Diffusion for Probabilistic Cascades Prediction
F Zhou, X Xu, K Zhang, G Trajcevski, T Zhong
IEEE INFOCOM, 1618-1627, 2020
492020
CCGL: Contrastive Cascade Graph Learning
X Xu, F Zhou, K Zhang, S Liu
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4539-4554, 2022
422022
Contrastive Trajectory Learning for Tour Recommendation
F Zhou, P Wang, X Xu, W Tai, G Trajcevski
ACM Transactions on Intelligent Systems and Technology 13 (1), 4:1-4:25, 2021
362021
Transformer-Enhanced Hawkes Process With Decoupling Training for Information Cascade Prediction
L Yu, X Xu, G Trajcevski, F Zhou
Knowledge-Based Systems 255, 109740, 2022
222022
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks
C Xiao, X Xu, Y Lei, K Zhang, S Liu, F Zhou
IEEE Transactions on Knowledge and Data Engineering 35 (10), 10540-10553, 2023
212023
A heterogeneous dynamical graph neural networks approach to quantify scientific impact
F Zhou, X Xu, C Li, G Trajcevski, T Zhong, K Zhang
arXiv preprint arXiv:2003.12042, 2020
182020
Heterogeneous Dynamical Academic Network for Learning Scientific Impact Propagation
X Xu, T Zhong, C Li, G Trajcevski, F Zhou
Knowledge-Based Systems 238, 107839, 2022
172022
Heterogeneous Dynamical Academic Network for Learning Scientific Impact Propagation
X Xu, T Zhong, C Li, G Trajcevski, F Zhou
Knowledge-Based Systems 238, 107839, 2022
172022
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
F Zhou, L Yu, X Xu, G Trajcevski
ACM SIGIR, 1875-1879, 2021
172021
Continual Information Cascade Learning
F Zhou, X Jing, X Xu, T Zhong, G Trajcevski, J Wu
IEEE GLOBECOM, 6 pages, 2020
152020
Unsupervised User Identity Linkage via Graph Neural Networks
F Zhou, Z Wen, T Zhong, G Trajcevski, X Xu, L Liu
IEEE GLOBECOM, 6 pages, 2020
122020
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay
H Yu, X Xu, T Zhong, F Zhou
AAAI 37 (4), 5393-5401, 2023
112023
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
Z Wang, X Xu, G Trajcevski, K Zhang, T Zhong, F Zhou
AAAI 36 (11), 12200-12207, 2022
112022
PGSL: A Probabilistic Graph Diffusion Model for Source Localization
X Xu, T Qian, Z Xiao, N Zhang, J Wu, F Zhou
Expert Systems With Applications 238, 122028, 2024
82024
Predicting Human Mobility via Self-supervised Disentanglement Learning
Q Gao, J Hong, X Xu, P Kuang, F Zhou, G Trajcevski
IEEE Transactions on Knowledge and Data Engineering 36 (5), 2126-2141, 2023
82023
Diffusion Probabilistic Modeling for Fine-Grained Urban Traffic Flow Inference with Relaxed Structural Constraint
X Xu, Y Wei, P Wang, X Luo, F Zhou, G Trajcevski
IEEE ICASSP, 5 pages, 2023
72023
Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction
X Xu, T Zhong, F Zhou, R Li, G Trajcevski, Q Meng
IEEE Transactions on Cybernetics 54 (1), 572--585, 2024
62024
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