According to our database1, Zhiling Luo authored at least 19 papers between 2013 and 2019.
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Latent Ability Model: A Generative Probabilistic Learning Framework for Workforce Analytics.
IEEE Trans. Knowl. Data Eng., 2019
Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones.
IEEE Access, 2019
AppUsage2Vec: Modeling Smartphone App Usage for Prediction.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
PreFix: Switch Failure Prediction in Datacenter Networks.
Proceedings of the Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, 2018
MeCo-TSM: Multi-Entity Complex Process-Oriented Service Modeling Method.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018
Deep Learning of Graphs with Ngram Convolutional Neural Networks (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Crossover Service: Deep Convergence for Pattern, Ecosystem, Environment, Quality and Value.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 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
Evaluating User Satisfaction with Typography Designs via Mining Touch Interaction Data in Mobile Reading.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Massive Text Mining for Abnormal Market Trend Detection.
Proceedings of the IEEE International Conference on Big Data, 2018
Service Pattern: An Integrated Business Process Model for Modern Service Industry.
IEEE Trans. Services Computing, 2017
Deep Learning of Graphs with Ngram Convolutional Neural Networks.
IEEE Trans. Knowl. Data Eng., 2017
Enterprise Pattern: integrating the business process into a unified enterprise model of modern service company.
Enterprise IS, 2017
Service Pattern Evaluation: Studying Profitability from Perspective of Resource.
Proceedings of the IEEE International Conference on Cognitive Computing, 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
Don't Fire Me, a Kernel Autoregressive Hybrid Model for Optimal Layoff Plan.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016
A Framework for Transmission Cost Aware Service Selection.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015
Towards a Service Pattern Model Supporting Quantitative Economic Analysis.
Proceedings of the 2014 IEEE World Congress on Services, 2014
Location: A Feature for Service Selection in the Era of Big Data.
Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013