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:
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🎓 Education
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Master’s Degree (Joint Training Program)
Yangtze University & Institute of Software, Chinese Academy of Sciences (Sep 2022 – Jun 2025)
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GPA: 3.43 / 4.0
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Research Interests: Deep Learning, Computer Vision, Object Tracking, Object Detection
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Relevant Courses: Data Structures (90), Algorithm Design (96), Data Mining (97), Operating Systems (90), Design Patterns (97), Probability Theory (95), UML Modeling (98)
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Bachelor’s Degree in Software Engineering
Fuyang Normal University (Sep 2017 – Jun 2021)
💼 Work Experience
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Algorithm Intern — Pengcheng Laboratory (May 2022 – Dec 2022)
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Migrated ByteTrack (multi-object tracking algorithm) from PyTorch to MindSpore framework
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Reconstructed and optimized algorithm to maintain performance and accuracy
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Shared code/documentation on GitHub for cross-framework migration
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Algorithm Intern — Institute of Software, Chinese Academy of Sciences (Sep 2020 – Sep 2023)
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Collaborated on medical imaging project with Fuwai Hospital
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Developed 3D U-Net ventricular segmentation model for cardiac CT sequences
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Designed abnormal ventricular diagnosis algorithm with clinically validated accuracy
🏆 Achievements & Awards
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2024 University Third Prize Scholarship
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2023 University Second Prize Scholarship
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2023 MindSpore Active Contributor
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2022-2023 First author on three software copyright applications
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2021 “Three Good Student” Award
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2020 First Prize Scholarship & National Encouragement Scholarship, “Three Good Student”
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2019 First Prize, Anhui Province Big Data and AI Application Competition
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2019 Second Prize, Anhui Province Blue Bridge Cup Java Group
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2019 Third Prize, Anhui Province AI Solution Design, Chinese University Student Design Competition
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2019 Third Prize, Anhui Province Big Data Application, Chinese University Computer Design Competition
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2019 “Three Good Student” Honor & First Prize Scholarship
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2018 Second Prize, Anhui Province Big Data and AI Application Competition
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