His research interest focuses on intelligent multimedia processing, including low-level vision, AI-generated content (AIGC) and security. He has published over 100 technical articles in refereed international journals and proceedings, with more than 8000 citations [Google Scholar]. In teaching, he won the first prize in the 23rd Young Teachers’ Teaching Basic Skills Competition at Peking University (as well as the best teaching demonstration prize and the most popular prize among students), the honorary title of “Excellent Class Teacher” at Peking University. In research, he won the 2011 Best Paper Award of IEEE International Conference on Visual Communication and Image Processing (VCIP), the 2015 Best Student Paper Award of the International Conference, the 2018 Best Paper Award of IEEE MultiMedia, and the ChinaMM 2021 Best Paper Award, Shenzhen Science and Technology Association, won the 2021 Excellent Natural Science Academic Paper Award (16 in total, the only one in the information field) and the 2023 China Artificial Intelligence Society-Huawei MindSpore Academic Award Fund Project Excellence Award. With ByteDance, he won the “NTIRE 2023 Global Challenge Panoramic Image Super-resolution Track” championship and was selected as the “Top 2% Scientists in the World” list by Stanford University for four consecutive years. In service, he is the director of the Youth Working Committee of Shenzhen Artificial Intelligence Society, the director of Guangdong Image and Graphics Society, the member of the Youth Working Committee of China Image and Graphics Society, and the executive member of the Seminar for Young Scholars in Vision and Learning (VALSE). At the same time, he serves on the editorial board of international journals such as Journal of Visual Communication and Image Representation, Signal, Image and Video Processing, CAAI Transactions on Intelligence Technology, etc.