I am Yinda Chen, a master's student in Computer Science and Technology at the University of Science and Technology of China (USTC), currently transitioned to a Ph.D. candidate in Electronic Information Engineering at USTC. Hereβs a little bit about me:
- π I am passionate about remote sensing and biomedical image processing. My research focuses on self-supervised pretraining and efficient fine-tuning, and I also handle some tasks related to image encoding and compression within my group.
- π± I am currently exploring the fascinating world of computer science and technology at USTC. My advisors are Feng Wu and Zhiwei Xiong. I also maintain close collaboration with Dong Liu, Li Li, and have conducted research internships at Imperial College London and the 301 Hospital. My collaborators include Qionghai Dai and Rossella Arcucci.
- ποΈ I have a diverse academic background, having earned a double bachelor's degree in Environmental Science and Economics, and participated in the statistical research group WISERCLUB at WISE, Xiamen University. I also have experience in mathematical competitions. I pursued my master's in Computer Science (CS) and am currently studying for my Ph.D. in Electronic Information Engineering (EE). I am eager to collaborate across various fields, including but not limited to remote sensing and biomedical image processing.
- π My full resume is available here. You can find the PDF versions in Chinese and English.
- π I am also urgently looking for research internship positions related to large model theory, pretraining, and efficient fine-tuning. If there are any available positions, π I would be grateful for the chance to further discuss my qualifications. Thank you for your consideration. π
- π» Programming Languages: Python, C++, MATLAB, Mathmatica
- π§ Deep Learning Frameworks: TensorFlow, PyTorch
- π Data Analysis: Pandas, NumPy
- π Web Development: HTML, CSS, JavaScript, Vue
- π οΈ Tools: Git, Docker
- π« You can reach out to me via email at cyd0806@mail.ustc.edu.cn.
- πΌ I'm eager to connect with fellow deep learning enthusiasts and graduate researchers who share similar interests and are passionate about advancing the frontiers of AI in these domains.
Feel free to drop me an email to discuss potential collaborations, share your ideas, or just have a friendly chat!