I am Yinda Chen (陈胤达), a Ph.D. candidate jointly trained by the University of Science and Technology of China (USTC) and the Shanghai AI Lab, majoring in Information and Communication Engineering.
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👀 My research focuses on multimodal understanding and generation. Initially, I explored these two directions separately—working on representation learning, self-supervised pretraining, and efficient fine-tuning in biomedical image processing and other multimodal tasks. Now, I’m gradually moving toward a unified framework that bridges understanding and generation across various domains.
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🧭 I have the immense privilege of being advised by Prof. Feng Wu (吴枫, IEEE Fellow) and Prof. Zhiwei Xiong (熊志伟) at USTC, and working under the collaborative supervision of Prof. Xiaoou Tang (汤晓鸥, IEEE Fellow) at the Shanghai AI Lab. I also have the honor to collaborate closely with Prof. Dong Liu (刘东), Prof. Li Li (李礼), and Prof. Zhihai He (何志海, IEEE Fellow). Additionally, I’ve been fortunate to conduct research internships at Imperial College London with Dr. Rossella Arcucci and Dr. Che Liu (刘澈), and the PLA General Hospital (301 Hospital) with Academician Qionghai Dai (戴琼海, IEEE Fellow).
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🌱 Currently, I’m an intern at Tencent IEG (Interactive Entertainment Group) through the Qingyun Program, working on TTS (Text-to-Speech) generation and multimodal understanding for Honor of Kings – Lingbao projects under the guidance of Dr. Liang Du (杜量) and Dr. Wentao Yao (姚文韬), exploring how generation and understanding can work hand in hand.
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💞️ Coming from a non-traditional background with dual bachelor’s degrees in Environmental Ecological Engineering and Economics at Xiamen University, I’ve always been fascinated by interdisciplinary research. During my undergraduate years, I had the privilege of being mentored by Prof. Yuanye Zhang (张原野), whose passion and rigor guided me into my initial research endeavors. My journey into AI began in 2021 as an active member of WISERCLUB, a data science community that shaped my early curiosity—I’m deeply grateful to my good friend Ziqian Lin (林子谦) (now at Peking University Guanghua School of Management, Department of Statistics) for recommending me to this amazing community. As someone who transitioned across fields, I deeply understand the challenges of learning something entirely new, and this experience has made me incredibly grateful for every mentor and collaborator who has guided me along the way.
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📝 Thanks to the generous guidance of my mentors and the support of amazing collaborators, I’ve been fortunate to publish papers
at conferences including AAAI, NeurIPS, MICCAI, ICCV, and IJCAI.
I know my talents may not match those of many brilliant pioneers in this field, but I believe in the power of continuous learning and genuine collaboration. I’m always eager to exchange ideas, seek advice from the community, and help those who are just starting their research journey. Please feel free to reach out—I’d be truly honored to connect, collaborate, or simply share thoughts about research! 🌟