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

Generalizable Sleep Staging via Multi-Level Domain Alignment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities.
IEEE Trans. Comput. Soc. Syst., December, 2023

Explainable AI for Cheating Detection and Churn Prediction in Online Games.
IEEE Trans. Games, June, 2023

Spatio-temporal analysis of urban crime leveraging multisource crowdsensed data.
Pers. Ubiquitous Comput., 2023

Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
g-Inspector: Recurrent Attention Model on Graph.
IEEE Trans. Knowl. Data Eng., 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

Dynamic road crime risk prediction with urban open data.
Frontiers Comput. Sci., 2022

AliCHI: A Large-scale Multi-modal Dataset and Automated Evaluation Tool for Human-like Dialogue Systems.
CoRR, 2022

DeepOffense: a recurrent network based approach for crime prediction.
CCF Trans. Pervasive Comput. Interact., 2022

Rapid Earthquake Magnitude Estimation Using Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Player Behavior Modeling for Enhancing Role-Playing Game Engagement.
IEEE Trans. Comput. Soc. Syst., 2021

ESCORT: Fine-Grained Urban Crime Risk Inference Leveraging Heterogeneous Open Data.
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
Location Inference for Non-Geotagged Tweets in User Timelines.
IEEE Trans. Knowl. Data Eng., 2019

User profiling from their use of smartphone applications: A survey.
Pervasive Mob. Comput., 2019

Investigating smartphone user differences in their application usage behaviors: an empirical study.
CCF Trans. Pervasive Comput. Interact., 2019

Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones.
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

AppUsage2Vec: Modeling Smartphone App Usage for Prediction.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Location Inference for Non-Geotagged Tweets in User Timelines [Extended Abstract].
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
Demographic Attributes Prediction Through App Usage Behaviors on Smartphones.
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
Mining User Attributes Using Large-Scale APP Lists of Smartphones.
IEEE Syst. J., 2017

WHO ARE THE SMARTPHONE USERS?: Identifying user groups with apps usage behaviors.
GetMobile Mob. Comput. Commun., 2017

Characterizing a user from large-scale smartphone-sensed data.
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
iCPS-Car: An Intelligent Cyber-physical System for Smart Automobiles.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012
WaterLady: A Case Study for Connecting Physical Devices into Social Networks.
Proceedings of the 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, 2012


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