Chen, Zhe Associate professor

• Department: Department of Electronic Information Engineering
• Gender: male
• BirthDate: 1969-04-17
• Career: Associate professor
• Degree: Ph.D
• Academic Credentials: Doctoral degree
• Graduate School: Northwestern Polytechnical University
• Tel: +8602982334548
• Email: zchen@chd.edu.cn
• Address School: Shang Yuan Lu, Wei Yang District, Xian, Shaanxi Province, China
• PostCode School: 710021
• Fax School:
• Office Location: The Wei Shui Campus of Changan University
• Education experience:

Zhe Chen, Male, born in 1969, Ph.D, associate professor, doctoral supervisor. In 2005, he received his doctorate in computer application technology from Northwestern Polytechnical University. In the same year, he entered the post-doctoral research station of Northwestern Polytechnical University. In 2009, he entered Chang 'an University as a teacher. From 2012 to 2013, he went to the University of Sydney, Australia as a visiting scholar.

His research interests include image processing, computer vision, machine learning, data mining and intelligent transportation information systems.

China Computer Federation (CCF) , Chinese Association for Artificial Intelligence (CAAI)

1.    Image processing and analysis

2.    Computer vision

3.    Machine learning

4.    Data mining

5.    Intelligent transportation information system

Undergraduate Courses

l  Digital Image Processing and Application

l  Image Communication

l  Fieldbus Technology and Application

Postgraduate Courses

l  Computer Vision

1.      Funds for key research and development plan project of the Shaanxi Province, Key technologies research on traffic flow prediction of complex city road network based on multi-view spatio-temporary data (2022GY-063), 01/01/2022 – 12/31/2023, principal investigator.

2.      Funds for key research and development plan project of the Shaanxi Province, Research on key technologies of distributed flow computing for spatio-temporal trajectory big data（2020ZDLGY09-02），01/01/2020 – 12/31/2020, major member.

3.      Funds for key research and development plan project of the Shaanxi Province, Research on the trusted mechanism of traffic service information for Internet of Vehicles（2018GY-032）, 01/01/2018 – 12/31/2019, major member.

4.      Funds for key research and development plan project of the Shaanxi Province, Research on traffic state and residents' travel mode integrating spatio-temporal big data（2018GY-136）, 01/01/2018 – 12/31/2019, major member.

5.      The Fundamental Research Funds for the Central Universities, Modeling and analysis of driving behavior based on multi-data fusion（300102248404）, 01/01/2018 – 12/31/2018, principal investigator.

6.      Funds for Key Scientific and Technological Innovation Team of the Shaanxi Province, Ubiquitous traffic information service theory and technology innovation team（2017KCT-29），01/01/2017 – 12/31/2018, major member.

7.      Funds for key research and development plan project of the Shaanxi Province, Key technologies of big data platform for traffic information service（2017GY-072），01/01/2017 – 12/31/2018, principal investigator.

8.      Funds for oversea scholar of the Ministry of Human Resources and Social Security, Research on automatic annotation technology of large scale image semantics（2015-192），01/01/2015 – 12/31/2016, principal investigator.

9.      Fundamental research funds of the Ministry of Transport, Research on collaborative methods of traffic information service in the context of Internet of Vehicles（2014319812150），04/01/2014 – 03/31/2016, major member.

10.   The Fundamental Research Funds for the Central Universities, Research on reconfigurable computing technology for image processing（CHD2010JC027），10/01/2010 – 09/30/2012, principal investigator.

11.   Science and Technology Project of Department of Transportation of Heilongjiang Province, Research on key technology of traffic emergency warning based on video recognition（20120018），07/01/2011 – 12/31/2012, major member.

1.Z. Chen, J. Liu, B. Zhao, et al. Multi-factor taxi demand forecasting for urban road network based on GCN and TCN, Control and Decision，2023, 38(4):1031-1038，DOI: 10.13195/j.kzyjc. 2021.0814. (EI) [PDF]

2.Z. Chen, Y. Wang, B. Zhao, J. et al. Knowledge Graph Completion: A Review, IEEE Access, 2020, vol.8, pp.192435-192456, doi:10.1109/ACCESS.2020. 3030076.（SCI）[PDF]

3.Z. Duan, F. Li, Z. Chen*. Entity Disambiguation: A Review，Control and Decision，2021, 36(5):1025-1039，DOI:10.13195/j.kzyjc.2020.0388.（EI）[PDF]

4.Zhe Chen, Bin Zhao, Yuehan Wang, et al. Multitask Learning and GCN-Based Taxi Demand Prediction for a Traffic Road Network, Sensors, 2020, 20(13): 3776; doi:10.339/s20133776.（SCI）[PDF]

5.Zongtao Duan, Kai Zhang, Zhe Chen*, et al. Prediction of City-Scale Dynamic Taxi Origin-Destination Flows Using a Hybrid Deep Neural Network Combined with Travel Time. IEEE Access, 2019, Vol.7, pp.127816-127832, doi:10.1109/ACCESS.2019.2939902.（SCI）[PDF]

6.Ting Liu, Zhe Chen*, Chuan Chen, et al. A Dynamic K-nearest Neighbor Map Matching Method Combined with Neural Network. In: Proceedings of IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, 2019, pp.3573-3578.

7.D. Niu, Z. Duan, Z. Chen, et al. Visualization Analysis Method of Urban Taxi Passenger Travel Characteristics, Computer Engineering and Applications, 2019, 55(6):237-243.

8.Z. Duan, X. Gong, L. Tang, Z. Chen. Spatio-temporal trajectory retrieval and group discovery in shared transportation. Journal of Computer Applications, 2019，39(1):220-226.

9.Zhe Chen, Huan Liu, Yuehan Wang, et al. E-DAM: Encoder-Decoder with Attention Mechanism for City-scale Taxi Trajectory Prediction, In: Proceedings of 2019 3rd International Conference on Computer Science and Artificial Intelligence (CSAI 2019), Beijing, China, 2019 , pp.160-164.

10.Wei-Chang Yeh, Yunzhi Jiang, Yee-Fen Chen, Zhe Chen. A New Soft Computing Method for K-Harmonic Means Clustering, PLOS ONE，2016，11(11):1-14.（SCI）[PDF]

11.Zhe Chen, Yuk Ying Chung, Hai Chen. SURE-LET based sparse representation image denoising, ICIC Express Letters, Part B: Applications, 2014, 5(3):739-744.

12.Zhe Chen, Xueli Hao, Zhaoyun Sun. Image denoising in Shearlet domain by adaptive thresholding, Journal of Information and Computational Science, 2013, 10(12):3741-3749.

13.Zhe Chen, Xuanmin Wang, Bayi Qu. Multi-focus image fusion based on nonsubsampled Contourlet transform, ICIC Express Letters, 2013, 7(9):2615-2620.

14.Z. Chen, X. Zhong, X. Zhang. Compressed Sensing and Its Application in Medical Image Fusion, Transducer and Microsystem Technologies, 2013，32(9):149-152.

15.Zhe Chen, Xueli Hao, Zhaoyun Sun. A modified Bayes shrinkage in Shearlet domain combined with p-Laplace anisotropic diffusion for image denoising, ICIC Express Letters, 2013, 7(10):2691-2696.

16.Z. Chen, Z. Duan, L. Chen, et al. System Design of High Resolution Aero Image Compression, Computer Engineering and Design, 2011, 32(8):2672-2675.

Books

1.Z. Chen, C. Chen. Image Communication Technologies and Applications, China Communications Press co., Ltd, 2020.

Patents:

1. A method for vehicle demand prediction model construction, forecasting method and system, ZL202110590338.7，2022.08.

2. A method for vehicle demand prediction model construction, forecasting method and system, ZL202010317209.6，2022.01.

3. A vehicle OD flow prediction model construction method and a vehicle OD flow prediction method, ZL201910257476.6，2020.9.

4. An improved map matching method based on machine learning algorithm, CN201810443850，2019.5.

5. A reliable data transmission method under the Internet of vehicles, CN201710607793，2019.3.

6. A potential ride-sharing group identification method based on location prediction, CN201710571050，2018.9.

7. An on-line real-time short - time traffic flow prediction method, ZL201710367888.6，2018.6.

Software copyright:

1. Map matching based on geometric method, 2019SR0032560，2019.1.

2. Map matching error point correction based on nearest neighbor classification algorithm, 2019SR0032544，2019.1.

3. Taxi GPS trajectory data visualization, 2018SR547270，2018.7.

4. Fatigue driving detection system based on vision V1.0，2012SR091186，2012.8.

5. Digital image processing experimental system V1.0，2012SR078557，2012.6.

From 01/2019，School of Information Engineering, Chang'an University.

08/2012 - 08/2013, University of Sydney, Australia, visiting scholar.