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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About our group
About our group
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
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publications
Robust On-line Monitoring for Univariate Processes Based on Two Sample Goodness-of-fit Test
Published in IEEM, 2014
Zhang, C., and Chen, N. (2014). Robust On-line Monitoring for Univariate Processes Based on Two Sample Goodness-of-fit Test
in 2014 IEEM pp. 813-817.
Zhang, C., and Chen, N. (2015). Statistical Monitoring of Longitudinal Categorical Survey Data
Published in IEEM, 2015
Zhang, C., and Chen, N. (2015). Statistical Monitoring of Longitudinal Categorical Survey Data, in IEEM2015 pp.1397-1401
Time Series of Multivariate Zero-inflated Poisson Counts
Published in IEEM, 2016
Zhang, C., Chen, N., and Zhang, L. (2016). Time Series of Multivariate Zero-inflated Poisson Counts.in 2016 IEEM pp. 1365-1369.
State Space Modeling of Autocorrelated Multivariate Poisson Counts
Published in IISE Transactions, 2016
Zhang, C., Chen, N., and Li, Z. (2016). State Space Modeling of Autocorrelated Multivariate Poisson Counts,
IISE Transactions, 49(5), 518-531.
Robust Multivariate Control Chart Based on Goodness-of-fit Test
Published in Journal of Quality Technology, 2016
Zhang, C., Chen, N., and Zou, C. (2016). Robust Multivariate Control Chart Based on Goodness-of-fit Test,
Journal of Quality Technology, 48(2), 139-161.
Spectral Network Approach for Multi-channel Profile Data Analysis with Applications in Advanced Manufacturing
Published in IEEM2017, 2017
Zhang, C., Zhang, L., and Chen, N. (2017). Spectral Network Approach for Multi-channel Profile Data Analysis with Applications in Advanced Manufacturing, in 2017 IEEM, pp. 1709-1713.
Clustering Subway Station Arrival Patterns Using Weighted Dynamic Time Warping
Published in 2018 IEEM, 2018
Wang, R.,Chen,N.and Zhang,C.(2018).Clustering Subway Station Arrival Patterns Using Weighted Dynamic Time Warping, in 2018 IEEM, pp 531-535.
Clustering Subway Station Arrival Patterns Using Weighted Dynamic Time Warping
Published in IEEM, 2018
Wang, R., Chen, N. and Zhang, C. (2018). Clustering Subway Station Arrival Patterns Using Weighted Dynamic Time Warping
, in 2018 IEEM, pp 531-535.
Multiple Profiles Sensor-Based Monitoring and Anomaly Detection
Published in Journal of Quality Technology, 2018
Zhang, C., Yan, H., Lee, S., and Shi, J. (2017). Multiple Profiles Sensor-Based Monitoring and Anomaly Detection,
Journal of Quality Technology, 50:4, 344-362.
(2019 ASQ Brumbaugh Award)
Online Learning for Partially Observable Multisensor Sequential Change Detection
Published in 33rd AAAI Conference on Artificial Intelligence 2019, 2019
Zhang,C.,and Hoi,C.H.(2019).Online Learning for Partially Observable Multisensor Sequential Change Detection, 33rd AAAI Conference on Artificial Intelligence 2019. pdf code
A Sequential Bayesian Partitioning Approach for Online Steady-State Detection of Multivariate Systems
Published in IEEE Transactions on Automation Science and Engineering, 2019
Wu, J., Xu, H., Zhang, C., and Yuan, Y. (2019). A Sequential Bayesian Partitioning Approach for Online Steady-State Detection of Multivariate Systems, in press,
IEEE Transactions on Automation Science and Engineering.
Li, Z., Yan, H., Zhang, C. and Tsung, F (2020). Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction
Published in 34th AAAI Conference on Artificial Intelligence, 2020
Li, Z., Yan, H., Zhang, C. and Tsung, F (2020). Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction, Accepted, 34th AAAI Conference on Artificial Intelligence, 2020. (2020 INFORMS QSR Section Best Student Paper Competition Finalist)
A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment
Published in IEEE Transactions on Automation, Systems and Engineering, 2020
Zhang, C. and Hoi, C.H. (2020) A Data-Driven Method for Online Monitoring Tube Wall Thinning Process in Dynamic Noisy Environment, accepted,
IEEE Transactions on Automation, Systems and Engineering
Dynamic Multivariate Functional data Modeling via Sparse Subspace Learning
Published in Technometrics, 2018
Zhang, C., Yan, H., Lee, S., and Shi, J. (2020). Dynamic Multivariate Functional data Modeling via Sparse Subspace Learning, accepted, Technometrics
(2017 INFORMS Data Mining Section Best Paper Competition Winner).
Spatial Rank based High-dimensional Monitoring Through Random Projection
Published in Journal of Quality Technology, 2019
Zhang, C., Chen, N. and Wu, J. (2019). Spatial Rank based High-dimensional Monitoring Through Random Projection, accepted
Journal of Quality Technology.
Multivariate Functional Data Modeling via Nonnegative Functional Factorization with Time Warping
Published in ACM Transactions on Knowledge Discovery from Data(TKDD), 2020
Zhang, C., Hoi, C.H. and Tsung, F. (2020). Multivariate Functional Data Modeling via Nonnegative Functional Factorization with Time Warping, accepted
ACM Transactions on Knowledge Discovery from Data.
Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile
Published in IEEE Robotics and Automation Letters, 2020
Li, Z., Yan, H., Zhang, C. and Tsung, F. (2020). Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile,
IEEE Robotics and Automation Letters.
(2020 IEEE CASE Best Paper Award)
Thompson Sampling based Partially Observable Online Change Detection via Bayesian Spike-Slab Composite Decomposition
Published in arxiv, 2020
Guo, J., Yan, H., Zhang, C. and Hoi, S. (2020). Thompson Sampling based Partially Observable Online Change Detection via Bayesian Spike-Slab Composite Decomposition, Submitted.
(2020 INFORMS Data Mining Section Best Paper Competition Finalists).
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Machine Learning and Big Data
Undergraduate course, Dept. of IE, Tsinghua University, 2019
Advanced Quality Management
Graduate course, Dept. of IE, Tsinghua University, 2019
Advanced Statistics
Graduate course, Dept. of IE, Tsinghua University, 2020