Short Biography

Jingchun Cheng, associate professor at Beihang University, earned her Bachelor's degree and Ph.D. from the Department of Electronic Engineering at Tsinghua University in 2014 and 2020, respectively. She was selected for the postdoctoral program at Beijing University joined as a faculty member in 2023 after completing her postdoctoral research.

Her research primarily focuses on intelligent detection, recognition, and navigation. She has published 26 academic papers with over 300 WoS citations, including journals and conferences like TMM, Measurement, CVPR, and ICCV. She has hold one China Postdoctoral Science Foundation project, one National Natural Science Foundation of China project, five industry-sponsored collaborative projects, and etc.

Research Area

1. Multi-modal, multi-dimensional sensing

2. Dynamic image recognition

3. Intelligent positioning and navigation

Courses

1. Selected topics in applied mathematics

2. Intelligent sensing and control

3. Digital signal processing in instruments and sensors

Papers & Books

1. Jialiang Shi, Jingchun Cheng*, Peng Wei, et al. Efficient Full-scenes Place Recognition through Optimized Multimodal Fusion[J]. IEEE Sensors Journal, 2025.

2. Jingchun Cheng. Video object segmentation methods and techniques based on deep learning[M]. Beijing Science and Technology Press, 2025: 150.

3. Jiajie Song, Ningfang Song, Jingchun Cheng*, Xiaoxin Liu and Xiong Pan. Exploring the Simplification Limit of Deep Network Features With Subway Positioning Task[J]. IEEE Robotics and Automation Letters, 2025.

4. Jiajie Song, Ningfang Song, Xiong Pan, Xiaoxin Liu, Can Chen and Jingchun Cheng*. A simple yet effective subway self-positioning method based on aerial-view sleeper detection[J]. IEEE Sensors Journal, 2025.

5. Rui Xiong, Jingchun Cheng*, Qianchen Yuan, Kun Ma, Lijing Li, Chunxi Zhang and Huasong Zeng. Reducing Power Consumption and Latency of Autonomous Vehicles with Efficient Task and Path Assignment in the V2X-MEC Based on Nash Equilibrium. In IEEE Transactions on Intelligent Transportation Systems, 2024.

6. Lei Wang, Jingchun Cheng*, Jiajie Song, Xiong Pan and Chunxi Zhang. Learning to Measure Infrared Properties of Street Views from Visible Images. In Measurement, 2023.

7. Chenwei Huang, Xiong Pan, Jingchun Cheng* and Jiajie Song. Deep Image Registration with Depth-aware Homography Estimation. In IEEE Signal Processing Letters, 2022.

8. Jingchun Cheng#, Jiajie Song, Rui Xiong*, Xiong Pan and Chunxi Zhang. An Automatic Quality Evaluator for Video Object Segmentation Masks. In Measurement, 2022.

9. Jingchun Cheng#, Yuhui Yuan, Yali Li, Jingdong Wang, and Shengjin Wang. Learning to Segment Video Object with Accurate Boundaries. IEEE Transactions on Multimedia, 2021.

10. Jingchun Cheng#, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang. Fast and Accurate Online Video Object Segmentation via Tracking Parts. In IEEE Conference on Computer Vision and Pattern Recognition, 2018.

11. Jingchun Cheng#, Han-Kai Hsu#, Fang Chen, Hailin Jin, Shengjin Wang, Ming-Hsuan Yang. Learning from PhotoShop Operation Videos: the PSOV Dataset. In Asian Conference on Computer Vision, 2018.

12. Jingchun Cheng#, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang. SegFlow: Joint Learning for Video Object Segmentation and Optical Flow. In IEEE International Conference on Computer Vision, 2017.