CYD’s Webpage
I am Yinda Chen, a Ph.D. candidate jointly trained by the USTC and Shanghai AI Lab, specializing in Information and Communication Engineering. Here’s a little about me:
- 👀 Passionate about representation learning theory and biomedical image processing. My research focuses on self-supervised pretraining, efficient fine-tuning, and tasks related to image encoding and compression.
- 🌱 Exploring computer science and technology at USTC. My advisors are Feng Wu and Zhiwei Xiong. I collaborate closely 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.
- 💞️ Diverse academic background: double bachelor’s degrees in Environmental Science and Economics, participation in the statistical research group WISERCLUB at WISE, Xiamen University, experience in mathematical competitions, a master’s in Computer Science (CS), and a Ph.D. in Electronic Information Engineering (EE). Open to collaborations in fields like remote sensing and biomedical image processing.
- 📄 You can find the PDF versions in Chinese and English.
- 🎓 Seeking research internship positions in large model theory, pretraining, and efficient fine-tuning. 🙏 Happy to discuss my qualifications further. Thank you! 🌟
Education
University of Science and Technology of China & Shanghai AI Lab
Information and Communication Engineering, Ph.D. (2024.7 – Present)- University of Science and Technology of China
Computer Technology, M.S. (2022.9 – 2024.7) 
Xiamen University
Remote Sensing & Economics (Dual Degree), B.S. (2018.9 – 2022.7)
News
- 2025.01.18 A paper was selected as oral by AAAI 2025.
- 2024.12.11 Two papers were accepted by AAAI 2025.
- 2024.12.06 I was successfully selected as the principal investigator of the Ph.D. Natural Science Foundation Project.
- 2024.10.10 A paper was accepted by NeurIPS 2024.
- 2024.06.18 Two papers were accepted by MICCAI 2024.
Professional Service
I have served as a reviewer for prestigious conferences and journals, including CVPR 2025, NeurIPS 2024, ICML 2025, ICLR 2024, MICCAI 2025, ACM MM 2024, AISTATS 2024, and IJCV.
Skills
- 💻 Programming Languages: Python, C++, MATLAB, Mathmatica
- 🧠 Deep Learning Frameworks: TensorFlow, PyTorch
- 📊 Data Analysis: Pandas, NumPy
- 🌐 Web Development: HTML, CSS, JavaScript, Vue
- 🛠️ Tools: Git, Docker
Let’s Connect
- 📫 You can reach out to me via email at cyd0806@mail.ustc.edu.cn.
- 💼 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.
- 📍 USTC Gaoxin campus, Hefei, Anhui, China
Feel free to drop me an email to discuss potential collaborations, share your ideas, or just have a friendly chat!