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Xovee Xu
Xovee Xu
Other names徐增, Zeng Xu
PhD Candidate, UESTC, 徐增
Verified email at std.uestc.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
1472021
Variational Information Diffusion for Probabilistic Cascades Prediction
F Zhou, X Xu, K Zhang, G Trajcevski, T Zhong
IEEE INFOCOM, 1618-1627, 2020
412020
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
392022
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction
X Xu, F Zhou, K Zhang, S Liu, G Trajcevski
IEEE TKDE 35 (4), 3484-3499, 2021
312021
CCGL: Contrastive Cascade Graph Learning
X Xu, F Zhou, K Zhang, S Liu
IEEE TKDE 35 (5), 4539-4554, 2022
252022
Contrastive Trajectory Learning for Tour Recommendation
F Zhou, P Wang, X Xu, W Tai, G Trajcevski
ACM TIST 13 (1), 4:1-4:25, 2022
232022
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
F Zhou, L Yu, X Xu, G Trajcevski
ACM SIGIR, 1875-1879, 2021
142021
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact
F Zhou, X Xu, C Li, G Trajcevski, T Zhong, K Zhang
arXiv:2003.12042, 8 pages, 2020
142020
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
132022
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
132022
Continual Information Cascade Learning
F Zhou, X Jing, X Xu, T Zhong, G Trajcevski, J Wu
IEEE GLOBECOM, 6 pages, 2020
112020
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
102020
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks
C Xiao, X Xu, Y Lei, K Zhang, S Liu, F Zhou
IEEE TKDE 35 (10), 10540-10553, 2023
82023
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
72022
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
62023
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
42023
Probabilistic Fine-Grained Urban Flow Inference With Normalizing Flows
T Zhong, H Yu, R Li, X Xu, X Luo, F Zhou
IEEE ICASSP, 3663-3667, 2022
32022
Fine-Grained Urban Flow Inference via Normalizing Flows (Student Abstract)
H Yu, X Xu, T Zhong, F Zhou
AAAI 36 (11), 13101-13102, 2022
32022
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
22024
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
22024
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