Zhiyuan Yao

发表

Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis

Barbro Back, Tomas Eklund, Zhiyuan Yao, 2010, ICDM.

From Smart Meter Data to Pricing Intelligence - Visual Data Mining towards Real-Time BI

Hongyan Liu, Barbro Back, Tomas Eklund, 2012, AMCIS.

Temporal Customer Segmentation Using the Self-organizing Time Map

Barbro Back, Tomas Eklund, Zhiyuan Yao, 2012, 2012 16th International Conference on Information Visualisation.

Visual Data-Driven Profiling of Green Consumers

Barbro Back, Tomas Eklund, Zhiyuan Yao, 2013, 2013 17th International Conference on Information Visualisation.

Resource-aware model predictive control of spatially distributed processes using event-triggered communication

Nael H. El-Farra, Zhiyuan Yao, N. El‐Farra, 2013, 52nd IEEE Conference on Decision and Control.

Networked controller design and analysis for uncertain distributed processes with measurement and actuation error

Nael H. El-Farra, Zhiyuan Yao, 2014, 53rd IEEE Conference on Decision and Control.

LUM-driven micromanipulator for cell wall perforation

James K. Mills, Zhiyuan Yao, Ran-Ran Geng, 2015, Int. J. Mechatronics Autom..

Comparing supervised and unsupervised artificial neural network for conducting eco-environment vulnerability assessment

Wei Qi, Zhiyuan Yao, Lan Tao, 2010 .

Performance-Based Sensor Reconfiguration for Fault-Tolerant Control of Uncertain Spatially Distributed Processes

Nael H. El-Farra, Zhiyuan Yao, 2014 .

Probabilistic Modeling of State Transitions on the Self-Organizing Map: Some Temporal Financial Applications

Tomas Eklund, Zhiyuan Yao, Peter Sarlin, 2012, 2012 45th Hawaii International Conference on System Sciences.

Networked control of spatially distributed processes using an adaptive communication policy

Nael H. El-Farra, Zhiyuan Yao, 2010, 49th IEEE Conference on Decision and Control (CDC).

Output characteristic analysis of a 3-DOF spatial parallel micromanipulator

Zhiyuan Yao, Ran-Ran Geng, Qianwei Fu, 2016, 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

Clustering of the Self-Organizing Time Map

Zhiyuan Yao, Peter Sarlin, Zhiyuan Yao, 2013, Neurocomputing.

A predictor-corrector approach for multi-rate sampled-data control of spatially distributed systems

Nael H. El-Farra, Zhiyuan Yao, N. El‐Farra, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Electricity Consumption Time Series Profiling: A Data Mining Application in Energy Industry

Hongyan Liu, Barbro Back, Tomas Eklund, 2012, ICDM.

Data-driven actuator fault identification and accommodation in networked control of spatially-distributed systems

Nael H. El-Farra, Zhiyuan Yao, N. El‐Farra, 2014, 2014 American Control Conference.

Robust fault detection and reconfiguration in sampled-data uncertain distributed processes

Nael H. El-Farra, Zhiyuan Yao, N. El‐Farra, 2011, IEEE Conference on Decision and Control and European Control Conference.

Networked model predictive control of spatially distributed processes

Ye Hu, Nael H. El-Farra, Zhiyuan Yao, 2013, 2013 American Control Conference.

Model-based networked control of spatially distributed systems with measurement delays

Nael H. El-Farra, Zhiyuan Yao, 2012, 2012 American Control Conference (ACC).

A Framework for State Transitions on the Self-Organizing Map: some Temporal Financial Applications

Tomas Eklund, Zhiyuan Yao, Peter Sarlin, 2012, Intell. Syst. Account. Finance Manag..

Visual customer segmentation and behavior analysis : a SOM-based approach

Zhiyuan Yao, 2013 .

Resource-aware scheduled control of distributed process systems over wireless sensor networks

Zhiyuan Yao, Yulei Sun, Nael H El-Farra, 2010, Proceedings of the 2010 American Control Conference.

Using SOM-Ward Clustering and Predictive Analytics for Conducting Customer Segmentation

Barbro Back, Tomas Eklund, Zhiyuan Yao, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Development and applications of linear ultrasonic motors

Zhen Liu, Yue Jian, Zhiyuan Yao, 2016, 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

Title of the Technical Report

Barbro Back, Tomas Eklund, Hongyan Liu, 2012 .

A hybrid forecasting framework based on support vector regression with a modified genetic algorithm and a random forest for traffic flow prediction

Lizong Zhang, Guangchun Luo, Ying Li, 2018, Tsinghua Science and Technology.

Combining visual customer segmentation and response modeling

Barbro Back, Tomas Eklund, Zhiyuan Yao, 2014, Neural Computing and Applications.