Xovee Xu

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Fan Zhou (周帆)University of Electronic Science and Technology of ChinaVerificeret mail på uestc.edu.cn
Goce TrajcevskiDept. of ECpE, Iowa State UniversityVerificeret mail på iastate.edu
Ting ZhongUniversity of Electronic Science and Technology of ChinaVerificeret mail på uestc.edu.cn
Kunpeng 'KZ' ZhangAssociate Professor at University of MarylandVerificeret mail på umd.edu
Zhiyuan (Jerry) WangTexas A&M UniversityVerificeret mail på tamu.edu
Siyuan LiuSmeal College of Business, Pennsylvania State UniversityVerificeret mail på psu.edu
Ce LiIowa State UniversityVerificeret mail på iastate.edu
Liu YuUniversity of Electronic Science and Technology of ChinaVerificeret mail på std.uestc.edu.cn
Haoyang YuUniversity of Electronic Science and Technology of ChinaVerificeret mail på std.uestc.edu.cn
Wenxin TaiUniversity of Electronic Science and Technology of ChinaVerificeret mail på std.uestc.edu.cn
Leyuan Liu（刘乐源）University of Electronic Science Technology of ChinaVerificeret mail på uestc.edu.cn
Chunjing XiaoHenan UniversityVerificeret mail på henu.edu.cn
Weifeng ZhangTexas A&M UniversityVerificeret mail på tamu.edu
Zhangtao ChengUniversity of Electronic Science and Technology of China (UESTC)Verificeret mail på std.uestc.edu.cn
Pengyu WangUESTCVerificeret mail på std.uestc.edu.cn
Rongfan LiVerificeret mail på std.uestc.edu.cn
Jienan ZhangUESTCVerificeret mail på std.uestc.edu.cn
Xin JingUniversity of MacauVerificeret mail på connect.um.edu.mo
Yutao WeiUniversity of Electronic Science and Technology of ChinaVerificeret mail på std.uestc.edu.cn
shikang pang河南大学Verificeret mail på henu.edu.cn

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Xovee Xu

Andre navne徐增, Zeng Xu

PhD Candidate, UESTC, 徐增

Verificeret mail på std.uestc.edu.cn - Startside

computational social science social network analysis human-centered data mining


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	202	2021
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	73	2022
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	56	2021
Variational Information Diffusion for Probabilistic Cascades Prediction F Zhou, X Xu, K Zhang, G Trajcevski, T Zhong IEEE INFOCOM, 1618-1627, 2020	48	2020
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	44	2022
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	41	2021
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	28	2023
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	23	2022
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	21	2020
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction F Zhou, L Yu, X Xu, G Trajcevski ACM SIGIR, 1875-1879, 2021	19	2021
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	17	2022
Continual Information Cascade Learning F Zhou, X Jing, X Xu, T Zhong, G Trajcevski, J Wu IEEE GLOBECOM, 6 pages, 2020	15	2020
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	13	2023
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	12	2020
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	11	2023
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	11	2022
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	10	2024
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	9	2024
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	7	2024
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	7	2023

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