Professor Hu Rong: Graduate supervisor, Key Laboratory of Automotive Electronics in Fujian Province, Key Laboratory of Big Data Analysis and Application in Fujian Province,

who hosted and participated in nearly 20 national and provincial-level scientific research projects, authorized 26 invention patents, and published over 30 SCI and EI journal papers as first author or corresponding author. Received 2 provincial-level teaching awards.

Research directions: Artificial Intelligence, Machine Learning, Deep Learning, Big Data Mining, Intelligent Transportation;

Overseas Experience: 2017-2018 Dynamic Transportation Laboratory at the University of Arizona, USA, Visited for 1 year

August 2015 Bilingual teaching and learning at the University of Warwick in the UK

June 2015 International Academic Conference Paper Exchange at the University of Ostrafa, Czech Republic

Dr. Hu Rong's main research direction is deep learning models and their applications. She has extensive research experience in this field and is skilled in applying deep learning techniques to practical problems, such as image processing, natural language processing, and medical diagnosis. Dr. Hu's research work has not only innovated in theory, but also achieved significant results in application. Her research findings have been published in multiple top international conferences and journals, such as IEEE Transactions on Neural Networks and Learning Systems, Neural Information Processing Systems (NeuroIPS), and Computer Vision and Pattern Recognition (CVPR).

Research topic and paper publication:

Dr. Hu has presided over and participated in multiple national and provincial research projects, including but not limited to:

National Natural Science Foundation of China project: "Medical Image Processing and Analysis Based on Deep Learning".

Key project of the Provincial Department of Science and Technology: "Research on Deep Learning Processing Technology for Large Scale Image Data".

During the research process of these topics, Dr. Hu led his team to achieve fruitful achievements and published multiple highly influential papers, such as:

"Deep Learning for Medical Image Segmentation: A Survey" - published in IEEE Transactions on Medical Imaging.

Attention based Mechanisms for Image Classification - Published at the Neuro IPS conference.

"A Novel Convolutional Neural Network for Real time Object Detection" - Presented at the CVPR conference.

Guiding student performance:

As of June 1, 2024, Dr. Hu Rong has trained 19 master's students and currently has 12 graduate students. Under her guidance, students have achieved significant achievements in academic research and practical applications:

Wu Zhongying won the Excellent Master's Thesis Award at the university level in 2022, and his research work has had a significant impact in the field.

Chen Zejian: In 2024, he was awarded the Title of Outstanding Graduate Student at the school level, demonstrating outstanding research abilities and potential.

Yan Peixin: Received the 2024 Excellent Graduate Thesis Award at the university level, and his research achievements have been highly praised in both academy and industry.

Dr. Hu Rong focuses on cultivating students' innovation ability and practical skills, advocates the combination of theory and practice, and encourages students to continuously explore and innovate in the process of participating in scientific research projects. She provides students with abundant research resources and academic exchange opportunities, helping them enhance their academic perspectives and research abilities.

Under the guidance of Dr. Hu, many students continue to pursue doctoral degrees or engage in high-level scientific research in related fields after graduation, achieving remarkable results.

Dr. Hu Rong has become an important mentor in the field of deep learning research and application, thanks to her outstanding research in the field and successful experience in guiding students. Her students have achieved significant results in both academic and professional careers, reflecting her ability and commitment to cultivating high-quality research talents. If you are interested in deep learning and its application research, Dr. Hu Rong will be a trusted mentor on your research journey.

Display of employment information for some outstanding graduates:

Xu Weihui

Du Congliu, Junior Division of Power System Analysis and Research, Tibet Electric Power Research Institute, State Grid

Xiang Yunjie Doctor of Computational Linguistics, Tibet University

Li Cheng, Algorithm Engineer of Hunan Xiangneng Intelligent Electrical Appliance Co., Ltd

The third level unit of Hanyu Datang Group, Jiangsu Datang International Rugao Thermal Power Co., Ltd., serves as the operation inspection of the power generation department

Dr. Wu Zhongying from Hainan University