Mr. Liang Peng | Tracking | Best Researcher Award

Mr. Liang Peng, Yangtze University, China

Peng Liang is a dedicated researcher in the field of computer vision and deep learning, currently pursuing a Master’s degree through a joint training program between Yangtze University and the Institute of Software at the Chinese Academy of Sciences. He holds a Bachelor’s degree in Software Engineering from Fuyang Normal University. His research focuses on object tracking, detection, and medical image analysis. Peng has led several high-impact projects, including VastTrack—an industry-leading visual object tracking dataset accepted at NeurIPS 2024—and developed advanced algorithms for product detection and video text spotting. He has interned at Pengcheng Laboratory and the Institute of Software, contributing to algorithm migration and medical imaging research. Proficient in Python, Java, PyTorch, and Linux, he has authored multiple software copyrights and received numerous academic and technical awards, including scholarships, innovation project leadership roles, and national competition prizes. Peng also shares his knowledge widely through his blog, which has gained over 500,000 views. He is recognized for his strong problem-solving ability, technical expertise, and leadership in collaborative research environments.

Professional Profile:

GOOGLE SCHOLAR

🎓 Education

Master’s Degree (Joint Training Program)
Yangtze University & Institute of Software, Chinese Academy of Sciences (Sep 2022 – Jun 2025)
- GPA: 3.43 / 4.0
- Research Interests: Deep Learning, Computer Vision, Object Tracking, Object Detection
- Relevant Courses: Data Structures (90), Algorithm Design (96), Data Mining (97), Operating Systems (90), Design Patterns (97), Probability Theory (95), UML Modeling (98)
Bachelor’s Degree in Software Engineering
Fuyang Normal University (Sep 2017 – Jun 2021)

💼 Work Experience

Algorithm Intern — Pengcheng Laboratory (May 2022 – Dec 2022)
- Migrated ByteTrack (multi-object tracking algorithm) from PyTorch to MindSpore framework
- Reconstructed and optimized algorithm to maintain performance and accuracy
- Shared code/documentation on GitHub for cross-framework migration
Algorithm Intern — Institute of Software, Chinese Academy of Sciences (Sep 2020 – Sep 2023)
- Collaborated on medical imaging project with Fuwai Hospital
- Developed 3D U-Net ventricular segmentation model for cardiac CT sequences
- Designed abnormal ventricular diagnosis algorithm with clinically validated accuracy

🏆 Achievements & Awards

2024 University Third Prize Scholarship
2023 University Second Prize Scholarship
2023 MindSpore Active Contributor
2022-2023 First author on three software copyright applications
2021 “Three Good Student” Award
2020 First Prize Scholarship & National Encouragement Scholarship, “Three Good Student”
2019 First Prize, Anhui Province Big Data and AI Application Competition
2019 Second Prize, Anhui Province Blue Bridge Cup Java Group
2019 Third Prize, Anhui Province AI Solution Design, Chinese University Student Design Competition
2019 Third Prize, Anhui Province Big Data Application, Chinese University Computer Design Competition
2019 “Three Good Student” Honor & First Prize Scholarship
2018 Second Prize, Anhui Province Big Data and AI Application Competition

Publication Top Notes:

Vasttrack: Vast category visual object tracking

CITED:15

Dr. Yanan Ma, National Innovation Institute of Defense Technology, Academy of Military Sciences, China

Yanan Ma is currently serving as an Assistant Researcher at the National Innovation Institute of Defense Technology, Academy of Military Sciences. With a strong background in array signal processing, her research focuses primarily on direction-of-arrival (DOA) estimation and signal detection technologies, which have critical applications in radar, wireless communications, and satellite navigation. She has authored over ten peer-reviewed journal articles indexed in SCI and Scopus and holds five patents in related fields. With a citation index of 100, her contributions have significantly advanced the theoretical and applied aspects of DOA estimation. Yanan Ma continues to engage in cutting-edge research and innovation in signal processing.

Summary of Suitability for Best Researcher Award:

Based on the provided information, Yanan Ma is a suitable and commendable candidate for the Best Researcher Award. As an Assistant Researcher at the National Innovation Institute of Defense Technology, affiliated with the Academy of Military Sciences, she demonstrates a focused and impactful research profile in array signal processing and direction-of-arrival (DOA) estimation, which are vital areas in modern defense, radar, and wireless communication systems.

🎓 Education & Academic Background

Yanan Ma holds a solid academic foundation in the field of array signal processing and related technologies, specializing in Direction-of-Arrival (DOA) estimation. With a strong technical education and focused research training, she has become a key contributor in advanced signal processing techniques applied to radar and communications.

🏆 Achievements & Contributions

✅ Published 12 research papers in reputed journals (SCI, Scopus)
✅ Developed a DOA estimation algorithm applied in real-world defense projects
✅ Filed 5 patents on innovative signal processing methods
✅ Citation Index: 100+, showcasing influence in the field
✅ Active involvement in array signal processing projects with national importance
✅ Contributed to both completed and ongoing research in radar, wireless communication, and satellite navigation