Min Cao | multimodal learning | Best Researcher Award

Assoc Prof Dr. Min Cao | multimodal learning | Best Researcher Award

Soochow University | China

Publication Profile

Scopus

๐Ÿ‘จโ€๐Ÿซ Professional Summary

Dr. Min Cao is currently an Associate Professor at the School of Computer Science and Technology, Soochow University, where he also serves as Assistant to the Dean at the Artificial Intelligence Research Institute. He is a core contributor in the field of computer vision, particularly in multimodal learning, text-based person retrieval, and person re-identification. With over 22 published papersโ€”including in top-tier journals (SCI Q1) and prestigious conferences such as AAAI, IJCAI, and ICCVโ€”Dr. Cao has established himself as a leading researcher. He is the recipient of multiple research grants and holds 8 authorized invention patents. Actively involved in academic service, he is the Deputy Secretary-General of the Computer Vision Special Committee of the Shanghai Computer Society and an Executive Member of CCF Suzhou.

๐ŸŽ“ Education

Dr. Cao received his Ph.D. in Pattern Recognition and Intelligent Systems from the Institute of Automation, Chinese Academy of Sciences (2016โ€“2020), under the supervision of Professor Silong Peng. Prior to that, he completed his bachelor’s degree in Electronic Information Engineering at Tianjin Polytechnic University in 2014.

๐Ÿ’ผ Professional Experience

He began his academic career as an Assistant Professor at Soochow University from March 2020 to September 2023, before being promoted to Associate Professor in October 2023. In addition, Dr. Cao was a visiting scholar at the Fraunhofer Institute for Image Data Processing in Germany from 2018 to 2019, where he conducted cutting-edge research in image analysis.

๐Ÿ”ฌ Research Interests

Dr. Caoโ€™s research interests span across multimodal learning, text-based person search, person re-identification, graph neural networks, and cross-modal retrieval systems. His work aims to enhance retrieval performance in low-source and open-world environments.

๐Ÿ“š Academic Contributions

He has published 22 peer-reviewed papers, including in high-impact journals such as IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition, and at top conferences like AAAI, IJCAI, and ACMMM. He has served as the principal investigator on multiple national and provincial-level research projects, including those funded by the National Natural Science Foundation of China. Dr. Cao also holds 8 granted patents related to image-text retrieval, anomaly detection, and multimodal learning systems.

๐Ÿง‘โ€๐Ÿซ Teaching & Mentorship

Dr. Cao has been recognized for his commitment to teaching and student mentorship, guiding students who have received national graduate scholarships and awards for outstanding theses. In 2023, he was named Outstanding Instructor at the Global Campus Artificial Intelligence Algorithm Elite Competition.

๐Ÿ› ๏ธ Technical Skills

He is proficient in machine learning and deep learning frameworks including PyTorch and TensorFlow, with strong programming skills in Python and C++. His technical toolkit also includes OpenCV, Scikit-learn, LaTeX, and tools for multimodal retrieval and graph-based learning.

๐Ÿ† Awards & Honors

His work has earned numerous accolades, including First Prize in the 2024 Suzhou Computer Society Outstanding Paper Award, Second Prize in the 2022โ€“2023 Suzhou Natural Science Academic Paper Award, and recognition for excellence in student supervision and AI competition mentoring.

๐Ÿ“š Top Notes Publications

1. Efficient text-to-video retrieval via multi-modal multi-tagger derived pre-screening
  • Authors: Xu, Yingjia; Wu, Mengxia; Guo, Zixin; Ye, Mang; Laaksonen, Jorma T.

  • Journal: Visual Intelligence

  • Year: 2025

2. Diversified Data Expansion Method Using Text-Based Person Image Search
  • Authors: Wang, Jingyao; Cao, Min

  • Journal: Jisuanji Gongcheng / Computer Engineering

  • Year: 2024

Chao Xu | Algorithmic Dynamic | Best Researcher Award

Prof Dr. Chao Xu | Algorithmic Dynamic | Best Researcher Award

Huzhou Institute, Zhejiang University | China

AUTHOR PROFILE

Google Scholar

EARLY ACADEMIC PURSUITS ๐ŸŽ“

Professor Chao Xu’s academic journey began with his pursuit of a Bachelor of Engineering degree in Mechanical Engineering from Shenyang Aerospace University in 2002. His passion for combining mechanical engineering with advanced mathematics led him to Zhejiang University, where he earned a Master’s degree in Mathematics in 2005. His quest for knowledge took him further to the United States, where he obtained a Ph.D. in Mechanical Engineering and Mechanics from Lehigh University in 2010. These formative years laid the foundation for his future achievements in robotics and intelligent systems.

PROFESSIONAL ENDEAVORS ๐Ÿ’ผ

After completing his Ph.D., Professor Xu embarked on an illustrious career at Zhejiang University, where he currently holds the positions of Vice Dean of the College of Control Science and Engineering and the Founding Dean of the Zhejiang University Huzhou Institute. His academic roles have been complemented by his extensive research work, including his founding of the FAST Lab, which has become a hub for cutting-edge research in robotics and intelligent control. Over the years, he has served as a lecturer, associate professor, and doctoral supervisor, contributing to the education and mentorship of the next generation of engineers and researchers.

CONTRIBUTIONS AND RESEARCH FOCUSย  ON Algorithmic Dynamic ๐Ÿ”ฌ

Professor Xu is a pioneer in the fields of multidisciplinary mechanics, control theory, and robotics. His research interests span the design and development of advanced flight systems, including intelligent autonomous flight technologies, robot locomotion physics, and algorithmic dynamics. His work focuses on “Multidisciplinary Mechanics and Control in Robotics” and “Math-Physical Intelligence and Embodiment,” bridging the gap between theory and application in the realm of intelligent systems. His innovative approaches have earned him a position as a key figure in the global robotics community, contributing to the establishment of international standards for intelligent drones.

IMPACT AND INFLUENCE ๐ŸŒ

Professor Xuโ€™s contributions to the field of robotics have garnered significant recognition, with his research being featured in high-impact journals such as Science Robotics, Nature Machine Intelligence, and IEEE Transactions. His teamโ€™s achievement in developing a “Swarm Aerial Robot System” was prominently displayed at the “Forging Ahead in the New Era” exhibition and is now housed in the National Museum. This landmark achievement is a testament to his influence and his leadership in the rapidly advancing field of intelligent robotics. His research has not only contributed to the academic world but has also had a profound impact on industry, media, and policy.

ACADEMIC CITATIONS AND RECOGNITION ๐Ÿ“š

Throughout his career, Professor Xu has published over a hundred papers in prestigious journals, cementing his reputation as a leading researcher in his field. His groundbreaking work has earned him widespread recognition, including awards such as the 2024 Frontiers of Science Award by the International Congress of Basic Science. His paper in Science Robotics was also selected as one of Zhejiang Universityโ€™s Top Ten Academic Achievements in 2022, highlighting the substantial impact of his research. Additionally, Professor Xuโ€™s work continues to inspire new developments in robotics, contributing to the global discourse on the future of intelligent systems.

LEGACY AND FUTURE CONTRIBUTIONS ๐Ÿ”ฎ

Professor Xuโ€™s legacy extends beyond his scholarly articles and patents. As the founding director of the FAST Lab and the founding dean of the Zhejiang University Huzhou Institute, he has laid a solid foundation for the continued advancement of robotics and control science at Zhejiang University. His influence is expected to grow as he mentors future generations of engineers and researchers who will push the boundaries of robotics, artificial intelligence, and autonomous systems. His future contributions promise to further revolutionize the way machines interact with humans and the world around them, ensuring his lasting impact on both academic and industrial landscapes.

JOURNAL EDITORSHIP AND LEADERSHIP ๐Ÿ“

In addition to his research, Professor Xu has been an influential figure in academic publishing. As the Executive Editor-in-Chief of IET Cyber-Systems & Robotics, he has provided a platform for new discoveries in robotics and control systems. His leadership in this role ensures that the journal continues to advance research in intelligent systems and robotics while fostering international collaboration. Furthermore, his editorial contributions to the Journal of Industrial and Management Optimization highlight his commitment to the integration of industrial and academic efforts to solve real-world problems.

INTERNATIONAL COLLABORATION AND MEDIA COVERAGE ๐ŸŒ

Professor Xuโ€™s research has been recognized globally, attracting attention from media outlets such as Xinhua News Agency, Guangming Daily, and The Times. His work has had a profound influence not only in academia but also in the broader global conversation about the future of technology and innovation. His leadership in driving international collaborations and partnerships is essential to the growth and impact of his work on a global scale.

NOTABLE PUBLICATIONSย ย ๐Ÿ“‘

Swarm of micro flying robots in the wild

๐Ÿ“‘ Authors: X Zhou, X Wen, Z Wang, Y Gao, H Li, Q Wang, T Yang, H Lu, Y Cao, C Xu, …
๐Ÿ“ฐ Journal: Science Robotics
๐Ÿ“… Year: 2022

Ego-planner: An esdf-free gradient-based local planner for quadrotors

๐Ÿ“‘ Authors: X Zhou, Z Wang, H Ye, C Xu, F Gao
๐Ÿ“ฐ Journal: IEEE Robotics and Automation Letters
๐Ÿ“… Year: 2020

Geometrically constrained trajectory optimization for multicopters

๐Ÿ“‘ Authors: Z Wang, X Zhou, C Xu, F Gao
๐Ÿ“ฐ Journal: IEEE Transactions on Robotics
๐Ÿ“… Year: 2022

Dense motion estimation of particle images via a convolutional neural network

๐Ÿ“‘ Authors: S Cai, S Zhou, C Xu, Q Gao
๐Ÿ“ฐ Journal: Experiments in Fluids
๐Ÿ“… Year: 2019

Ego-swarm: A fully autonomous and decentralized quadrotor swarm system in cluttered environments

๐Ÿ“‘ Authors: X Zhou, J Zhu, H Zhou, C Xu, F Gao
๐Ÿ“ฐ Journal: 2021 IEEE International Conference on Robotics and Automation (ICRA)
๐Ÿ“… Year: 2021

Particle image velocimetry based on a deep learning motion estimator

๐Ÿ“‘ Authors: S Cai, J Liang, Q Gao, C Xu, R Wei
๐Ÿ“ฐ Journal: IEEE Transactions on Instrumentation and Measurement
๐Ÿ“… Year: 2019