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張晨,助理教授

聯系信息

姓名:張晨 辦公電話: +86-10-6279-6135 郵箱:發送郵件 傳真號碼:+86-10-6279-4399 地點:清華大學舜德樓南602 教師主頁: http://www.vindalho.com/zhangchen

個人簡介

張晨,清華大學工業工程系助理教授。2012年于天津大學獲得電子科學與技術(光電子方向)學士學位。2017年于新加坡國立大學獲得工業系統工程管理博士學位。研究方向包括基于統計學方法和人工智能方法的大規模復雜系統建模、在線監控、異常檢測、 自適應數據采集,以及分布式計算策略。
更多信息請訪問主頁:http://www.vindalho.com/zhangchen

張晨老師每年都有計劃招收博士、碩士、科研助理、博士后, 歡迎具有良好數學基礎,擅長編程,并且熱愛學術的同學發送簡歷到 zhangchen01@tsinghua.edu.cn

所獲獎勵

美國質量協會(ASQ)Brumbaugh Award, 2019
IISE Transactions最佳論文獎, 2018
新加坡半導體金牌, 2018
管理科學與運籌學會(INFORMS)數據挖掘(DM)分會 最佳論文獎, 2017
管理科學與運籌學會(INFORMS)質量統計可靠性(QSR)分會 最佳學生展板獎, 2016

教育背景

2013— 2017 新加坡國立大學 工業系統工程管理 博士
2008—2012 天津大學 電子科學與技術 學士

工作經歷

2018— : 清華大學工業工程系 助理教授

學生培養

博士生:
楊杏: 2016
李宛珊: 2016
郭捷: 2019
劉佩瑤: 2020
本科畢設:
張瑋褀: 基于網絡模型的城市軌道交通客流監控, 2020 (清華大學優秀畢業論文)
何冰潔: 城市公共交通系統的客流時空預測, 2020 (清華大學優秀畢業論文)
郭捷:基于自適應采樣的高維變量在線監控, 2019
王子琪: 基于多維網絡分析的地鐵系統建模與監控, 2019

研究興趣

系統信息學:復雜系統(如制造,服務系統)過程監控,優化,可靠性分析
數據挖掘:商業數據分析與解決方案
智能醫學:個性化醫療, 基于人工智能的醫學影像分析

科研項目

國家自然科學基金青年項目: 基于復雜輪廓數據的統計建模和在線監控研究,2020.01-2022.12,主持
國家自然科學基金重點項目:工業大數據環境下面向智能制造系統的質量科學管控方法研究,2020.01-2024.12,參與

論文發表

期刊:

13. Li, Z., Yan, H., Zhang, C. Tsung, F. (2020). Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile, IEEE Robotics and Automation Letters.

12. 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.

11. 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.

10. Xian, X., Zhang, C., Bonk, S., and Liu, K. (2019). Online Monitoring of Big Data Streams: A Rank-based Sampling Algorithm by Data Augmentation," in press, Journal of Quality Technology.

9. 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.

8. Zhang, C., Chen, N. and Wu, J. (2019). Spatial Rank based High-dimensional Monitoring Through Random Projection, accepted, Journal of Quality Technology.

7. 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 Award).

6. Zhang, C., and Chen, N. (2018). Statistical Analysis of Simulation Outputs from Parallel Computing, ACM Transactions on Modeling and Computer Simulation (TOMACS), 28(3), 21-35.

5. Zhang, C., Yan, H., Lee, S., and Shi, J. (2018). Multichannel Profile Monitoring based on Sparse Multichannel Functional Principal Component Analysis, IISE Transactions, 50:10, 878-891(2016 INFORMS Quality, Statistics, and Reliability Section Best Student Poster Award).

4. Zhang, C., Yan, H., Lee, S., and Shi, J. (2017). Multiple Profiles Sensor-Based Monitoring and Anomaly Detection, accepted, Journal of Quality Technology, 50:4, 344-362.

3. Zhang, C., Lei, Y., Zhang, L., Chen N. (2017). Modeling Tunnel Profile in Presence of Coordinate Errors: A Gaussian Process Based Approach, IISE Transactions, 49(11), 1065-1077.

2. Zhang, C., Chen, N., and Li, Z. (2016). State Space Modeling of Autocorrelated Multivariate Poisson Counts, IISE Transactions, 49(5), 518-531.

1. 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.

會議:

7. 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.

6. Zhang, C., and Hoi, C.H. (2019). Online Learning for Partially Observable Multisensor Sequential Change Detection, 33rd AAAI Conference on Artificial Intelligence 2019.

5. Wang, R., Chen, N. and Zhang, C. (2018). Clustering Subway Station Arrival Patterns Using Weighted Dynamic Time Warping, in 2018 IEEM, pp 531-535.

4. 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.

3. Zhang, C., Chen, N., and Zhang, L. (2016). Time Series of Multivariate Zero-inflated Poisson Counts,in 2016 IEEM pp. 1365-1369.

2. Zhang, C., and Chen, N. (2015). Statistical Monitoring of Longitudinal Categorical Survey Data, in 2015 IEEM pp. 1397-1401.

1. 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.

 

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