دنبال کردن
Xovee Xu
Xovee Xu
PhD Candidate, UESTC, 徐增
ایمیل تأیید شده در std.uestc.edu.cn - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
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
2032021
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
562021
Variational Information Diffusion for Probabilistic Cascades Prediction‏
F Zhou, X Xu, K Zhang, G Trajcevski, T Zhong‏
IEEE INFOCOM, 1618-1627, 2020‏
482020
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
432022
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
422021
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
272023
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
232022
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
212020
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction‏
F Zhou, L Yu, X Xu, G Trajcevski‏
ACM SIGIR, 1875-1879, 2021‏
192021
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
182022
Continual Information Cascade Learning‏
F Zhou, X Jing, X Xu, T Zhong, G Trajcevski, J Wu‏
IEEE GLOBECOM, 6 pages, 2020‏
152020
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
132023
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
122022
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
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
112023
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
102024
Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction‏
Z Cheng, J Zhang, X Xu, G Trajcevski, T Zhong, F Zhou‏
ACM KDD, 445-455, 2024‏
92024
Counterfactual Data Augmentation With Denoising Diffusion for Graph Anomaly Detection‏
C Xiao, S Pang, X Xu, X Li, G Trajcevski, F Zhou‏
IEEE Transactions on Computational Social Systems 11 (6), 7555-7567, 2024‏
72024
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
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مقاله‌ها 1–20