Ms. Yingjuan Tang, Sensors and Biosensors, Best Researcher Award

Ms. Yingjuan Tang, Beijing Institute of Technology, China

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🌟 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