Artikler med krav om offentlig adgang - Xiusi ChenFå flere oplysninger
Tilgængelige et sted: 15
Atrank: An attention-based user behavior modeling framework for recommendation
C Zhou, J Bai, J Song, X Liu, Z Zhao, X Chen, J Gao
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Krav: National Natural Science Foundation of China
St-norm: Spatial and temporal normalization for multi-variate time series forecasting
J Deng, X Chen, R Jiang, X Song, IW Tsang
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Krav: Australian Research Council
Taxogen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering
C Zhang, F Tao, X Chen, J Shen, M Jiang, B Sadler, M Vanni, J Han
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Krav: US National Science Foundation, US Department of Defense, US National …
Doc2cube: Allocating documents to text cube without labeled data
F Tao, C Zhang, X Chen, M Jiang, T Hanratty, L Kaplan, J Han
2018 IEEE International Conference on Data Mining (ICDM), 1260-1265, 2018
Krav: US National Science Foundation, US Department of Defense
A multi-view multi-task learning framework for multi-variate time series forecasting
J Deng, X Chen, R Jiang, X Song, IW Tsang
IEEE Transactions on Knowledge and Data Engineering 35 (8), 7665-7680, 2022
Krav: National Natural Science Foundation of China
Hierarchical metadata-aware document categorization under weak supervision
Y Zhang, X Chen, Y Meng, J Han
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
Krav: US National Science Foundation, US Department of Defense
COVID-19 surveiller: toward a robust and effective pandemic surveillance system based on social media mining
JY Jiang, Y Zhou, X Chen, YR Jhou, L Zhao, S Liu, PC Yang, J Ahmar, ...
Philosophical Transactions of the Royal Society A 380 (2214), 20210125, 2022
Krav: US National Science Foundation, US National Institutes of Health
Evaluating audience loyalty and authenticity in influencer marketing via multi-task multi-relational learning
S Kim, X Chen, JY Jiang, J Han, W Wang
Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021
Krav: US National Science Foundation
Motifclass: Weakly supervised text classification with higher-order metadata information
Y Zhang, S Garg, Y Meng, X Chen, J Han
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
Krav: US National Science Foundation, US Department of Defense
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
X Chen, Y Zhang, J Deng, JY Jiang, W Wang
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
Krav: US National Science Foundation
Weakly supervised multi-label classification of full-text scientific papers
Y Zhang, B Jin, X Chen, Y Shen, Y Zhang, Y Meng, J Han
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Krav: US National Science Foundation, US Department of Defense
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games
X Chen, JY Jiang, K Jin, Y Zhou, M Liu, PJ Brantingham, W Wang
Proceedings of the 31st ACM International Conference on Information …, 2022
Krav: US National Science Foundation, US Department of Defense, US National …
# StayHome or# Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-Temporal Dynamic Graphs
Y Zhou, JY Jiang, X Chen, W Wang
Proceedings of the 30th ACM International Conference on Information …, 2021
Krav: US National Science Foundation, US National Institutes of Health
How the experience of California wildfires shape Twitter climate change framings
JWY Ko, S Ni, A Taylor, X Chen, Y Huang, A Kumar, S Alsudais, Z Wang, ...
Climatic Change 177 (1), 17, 2024
Krav: US National Science Foundation
Scalable graph representation learning via locality-sensitive hashing
X Chen, JY Jiang, W Wang
Proceedings of the 31st ACM International Conference on Information …, 2022
Krav: US National Science Foundation, US National Institutes of Health
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