I am a first-year PhD Student in computer science at Peking University (PKU), supervised by Prof. Li Yuan (Deep Learning) and Prof. Fanyang Mo (AI4Science). I have published over 10 papers at the top international AI conferences with a total Google Scholar citations of 700+. I am now a research intern for multimodal generation at the Baidu ERNIE team through the "ERNIE Star Top Talent Program", under the supervision of Jingdong Wang and Haifeng Wang.

My current research interest primarily focuses on:

1. Multimodal Generation and Unified Model: I'm deeply researching the hybrid architecture of autoregressive (AR) and diffusion models, and have developed a thorough understanding and thoughtful insights into their complementary mechanisms, architectural design, and joint training strategies, with the goal of advancing unified multimodal understanding and generation.
2. Vision-Language Model: I'm also very interested in how language can be used to learn effective visual representations.

I am also very interested in their applications in:

1. AIGC Detection (my previous research direction): Developing generalizable and interpretable methods for detecting AI-generated images and videos, along with designing an effective discriminator tailored for DiT and other diffusion-based generative models.
2. AI4Science: Utilizing DL/ML methods or the latest reasoning models to address challenges in the science topics, especially chemistry and drug discovery. I believe that interdisciplinary cross-pollination and integration can spark new insights and innovative thinking.
If you are interested in my work and would like to cooperate with me, please do not hesitate to contact!