
My research interests include deep generative models, image/video/3D generation, and unified multimodal models. I am the recipient of the Best Student Paper Award at ACM Multimedia 2022 as the first author. In 2025, I was awarded the First Prize of the Natural Science Award from the China Society of Image and Graphics (CSIG) and the Special Prize of the President Scholarship of the Chinese Academy of Sciences (CAS). I have also received funding from the First National Natural Science Foundation of China for Youth Student Fundamental Research (Ph.D. student). I was selected for top industry talent programs including the Alibaba, ByteDance, etc.
研究方向为图像、视频、3D等视觉内容生成和多模态生成-理解统一模型。 博士期间以第一作者获CCF-A类国际会议ACM Multimedia 2022最佳学生论文奖。获2025年中国图像图形学会自然科学一等奖; 获批首届国家自然科学基金青年学生基础研究项目(博士研究生)。获2025年中国科学院院长特别奖。25年校招入选阿里星(校招P7)、字节跳动头部人才计划(校招3-1)等。
Career Timeline
Funding
Research on Text-Guided Long Video Generation based on Spatiotemporal Native Collaboration
Selected Publications Google Scholar Profile
2026
2025
2024
2023 & 2022
Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization
DSE-GAN: Dynamic Semantic Evolution Generative Adversarial Network for Text-to-Image Generation
* Equal contribution. ✉ Corresponding author.
Awards & Honors
Industrial Research Experience

RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization

UXO Series Research
The UXO series studies subject- and style-conditioned image generation, including controllability, disentangled reward modeling, and multi-identity consistency.

