Sha Zhao
Orcid: 0000-0003-4628-5198
According to our database1,
Sha Zhao
authored at least 37 papers
between 2012 and 2024.
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Bibliography
2024
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG.
ACM Trans. Knowl. Discov. Data, May, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Comput. Soc. Syst., December, 2023
IEEE Trans. Games, June, 2023
Pers. Ubiquitous Comput., 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection.
IEEE Trans. Intell. Transp. Syst., 2022
Understanding Smartphone Users From Installed App Lists Using Boolean Matrix Factorization.
IEEE Trans. Cybern., 2022
A Novel Workflow for Crop Type Mapping with a Time Series of Synthetic Aperture Radar and Optical Images in the Google Earth Engine.
Remote. Sens., 2022
Frontiers Comput. Sci., 2022
AliCHI: A Large-scale Multi-modal Dataset and Automated Evaluation Tool for Human-like Dialogue Systems.
CoRR, 2022
CCF Trans. Pervasive Comput. Interact., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
IEEE Trans. Comput. Soc. Syst., 2021
IEEE Syst. J., 2021
Special issue on vehicles as sensing devices: from observations to actionable insights.
J. Ambient Intell. Humaniz. Comput., 2021
2020
Forecasting Price Trend of Bulk Commodities Leveraging Cross-domain Open Data Fusion.
ACM Trans. Intell. Syst. Technol., 2020
Gender Profiling From a Single Snapshot of Apps Installed on a Smartphone: An Empirical Study.
IEEE Trans. Ind. Informatics, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
Pervasive Mob. Comput., 2019
Investigating smartphone user differences in their application usage behaviors: an empirical study.
CCF Trans. Pervasive Comput. Interact., 2019
IEEE Access, 2019
MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
AppLens 2019: the 2nd international workshop on mining and learning from smartphone apps for users.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Proposal for Workshop on AppLens: Mining and Learning from Smartphone Apps for Users.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
2017
IEEE Syst. J., 2017
GetMobile Mob. Comput. Commun., 2017
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
2016
Discovering different kinds of smartphone users through their application usage behaviors.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
2013
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013
2012
Proceedings of the 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, 2012