CV

Education

Ph.D, From September 2008 to November 2012, Ph.D in Pattern Recognition and Intelligent Systems, School of Automation, Southeast University, Nanjing, Jiangsu, China.
Master’s, From September 2003 to April 2006, Master’s in Computer Software and Theory, School of Computer Science and Technology, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China.
Bachelor’s, From September 1999 to July 2003, Bachelor’s in Computer Applications, School of Computer Science and Technology, East China Shipbuilding Institute, Zhenjiang, Jiangsu, China.

Associate Professor, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China, From May 2017 to Present.
Visiting Scholar, Department of Computer and Information Sciences, Temple University, Philadelphia, USA, From October 2016 to November 2017. Collaborated with Professor Haibin Ling (State University of New York at Stony Brook).
Lecturer, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China, From November 2012 to May 2017.
Postdoctoral Researcher, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China, From November 2013 to December 2017. Postdoctoral Supervisor: Professor Guohai Liu.
Software Development Engineer, ZTEsoft Technology Co., Ltd., Nanjing, Jiangsu, China, From April 2006 to August 2008.

National Natural Science Foundation of China: Intelligent Video-Based Face Image Recognition and Understanding via Manifold Learning (No. 90820009), 2009.1–2011.12. (Participant)
National Natural Science Youth Fund: Application of Sparse Representation in Image Feature Extraction (No. 61005008), 2011.1–2013.12. (Participant)
Jiangsu Natural Science Youth Fund: Research on Face Attribute Recognition Methods Based on Weakly Labeled Images (No. BK20140566), 2014.7–2017.6.(Chief Investigator)
China Postdoctoral Science Foundation: Research on Face Semantic Feature Recognition via Multi-attribute Joint Learning (No. 2014M561586), 2014.10–2016.10. (Chief Investigator)
Jiangsu Natural Science Youth Fund: Multi-Attribute Learning Methods for Face Semantic Feature Recognition (No. BK20150470), 2015.7–2018.6.(Participant)
National Natural Science Foundation of China: Spatiotemporal Feature-Driven Sparse Learning for Missing Traffic Flow Data Imputation in Road Networks (No. 61773184), 2018.1–2021.12. (Participant, Ranked 2nd)
Jiangsu Natural Science General Fund: Multi-Source Image Feature Fusion Methods for All-Weather Pedestrian Detection (No. BK20191427), 2019.7–2022.6. (Chief Investigator)
National Natural Science Foundation of China: Fluorescence-Visible-Near-Infrared Multi-Source Hyperspectral Image-Based Deep Feature Learning for Heavy Metal Detection in Rapeseed Leaves (No. 31971788), 2020.1–2023.12. (Participant, Ranked 3rd)

A Life-Sensing System for Parking Lots (No. 201820036117.9), Utility Model Patent, Granted, 2018.12. (2/4)
A Fabric Defect Detection Method Based on Regional Feature Fusion (No. ZL201811407792.9), Invention Patent, Granted, 2023.7. (2/4)
A Cable Sequence Discrimination Method Based on Machine Vision (No. 201811567286.6), Invention Patent, Granted, 2023.5. (2/3)
A Plant Leaf Segmentation Method Based on Improved Fully Convolutional Neural Networks (No. 201810253196.3), Invention Patent, Under Review, 2018.3. (4/6)
A Pedestrian Detection Method Based on Sparse Discriminative Template Features (No. CN 106339686 A), Invention Patent, Under Review, 2016.4. (1/3)
A WT-LSSVR Based Modeling Method for Leaf Cadmium Content via Vis-NIR Spectral Features (No. ZL201810253782.8), Invention Patent, Granted, 2020.7. (5/6)
A Portable Fluorescence Detection Device and Method (No. 201810580969.9), Invention Patent, Under Review, 2018.6. (6/6)
A Fabric Surface Positioning Method in Complex Environments (No. ZL201910746652.2), Invention Patent, Granted, 2022.3.29. (1/4)
An All-Weather Multispectral Pedestrian Detection Method (No. ZL201911011783.2), Invention Patent, Granted, 2023.7.18. (1/4)
A Deep Learning-Based Cable Sequence Detection Method (No. ZL 201910299722.4), Invention Patent, Granted, 2023.7.18. (3/3)

Second Prize, 2nd Jiangsu Provincial College Student Biomedical Engineering Innovation Design Competition, 2021. (1/1)
Excellence Award, 2nd Jiangsu Provincial College Student Biomedical Engineering Innovation Design Competition, 2021. (1/1)
Grand Prize, 6th International Innovation Competition of Intelligent Agricultural Equipment for College Students, 2020. (2/2)
Second Prize, 7th International Innovation Competition of Intelligent Agricultural Equipment for College Students, 2022. (1/2)
Outstanding Master’s Thesis Award, Jiangsu University, Research on Pedestrian Detection Methods Based on Visible and Far-Infrared Image Deep Feature Fusion, 2021.
Third Prize, 4th National College Student Embedded Chip and System Design Competition, 2021. (1/1)