Ms. Yingjuan Tang, Beijing Institute of Technology, China
Professional Profiles
Scopus
Orcid
Google Scholar
🌟 Summary
Ms. Yingjuan Tang is a dedicated Ph.D. candidate at Beijing Institute of Technology, specializing in environment perception and trajectory prediction for autonomous vehicles. With a strong background in computer vision and deep learning, she has contributed extensively to the field through publications in prestigious journals. Yingjuan holds a Master’s degree in Artificial Intelligence from King’s College London and a Bachelor’s degree in Computer Science and Technology from Zhengzhou University.
🎓 Education
Doctorate in Environment Perception and Trajectory Prediction
Beijing Institute of Technology
Master’s in Artificial Intelligence
King’s College London
Bachelor’s in Computer Science and Technology
Zhengzhou University
💼Professional Experience
Ph.D. Researcher
Beijing Institute of Technology
Focused on environment perception and trajectory prediction for self-driving commercial vehicles. Published multiple papers in leading journals on 3D object detection and trajectory prediction.
🔬 Research Interests
Computer Vision: Exploring advanced techniques for image recognition and processing.
Deep Learning: Applying neural networks to enhance autonomous vehicle perception and decision-making.
Autonomous Vehicles: Developing models for trajectory prediction and environment sensing.
🏆 Honors & Awards
Outstanding Graduate (Henan Province)
National Motivational Scholarship (2016-2017 & 2017-2018)
Second Prize in ACM Program-Designing Competition
Publications Top Noted📚
Towards efficient multi-modal 3D object detection: Homogeneous sparse fuse network
Authors: Tang, Y., He, H., Wang, Y., Wu, J.
Journal: Expert Systems with Applications
Year: 2024
Using a Diffusion Model for Pedestrian Trajectory Prediction in Semi-Open Autonomous Driving Environments
Authors: Tang, Y., He, H., Wang, Y., Wu, Y.
Journal: IEEE Sensors Journal
Year: 2024
Hierarchical vector transformer vehicle trajectories prediction with diffusion convolutional neural networks
Authors: Tang, Y., He, H., Wang, Y.
Journal: Neurocomputing
Year: 2024
Remote Sensing Building Change Detection With Global High-Frequency Cues Guidance and Result-Aware Alignment
Authors: Mao, Z., Luo, Z., Tang, Y.
Journal: IEEE Geoscience and Remote Sensing Letters
Year: 2024
Multi-modality 3D object detection in autonomous driving: A review
Authors: Tang, Y., He, H., Wang, Y., Mao, Z., Wang, H.
Journal: Neurocomputing
Year: 2023
Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning
Authors: Wang, Y., Wu, Y., Tang, Y., Li, Q., He, H.
Journal: Applied Energy
Year: 2023