Zhiling Luo

According to our database1, Zhiling Luo authored at least 19 papers between 2013 and 2019.

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Bibliography

2019
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

2018
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

2017
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

2016
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

2015
A Framework for Transmission Cost Aware Service Selection.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

2014
Towards a Service Pattern Model Supporting Quantitative Economic Analysis.
Proceedings of the 2014 IEEE World Congress on Services, 2014

2013
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


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