Bowen Zhang

University of Science and Technology of China

I am Bowen Zhang (张博文), a second-year Ph.D. student of USTC. I have joined USTC-MSRA Joint-PhD program, under the co-supervision of Dr. Baining Guo and Prof. Feng Zhao. I collaborate closely with Bo Zhang, Jianmin Bao, Dong Chen. You could check out my CV here.


University of Science and Technology of China

School of Information Science and Technology
Joint Ph.D. candidate of USTC & Microsoft Research Asia
September 2021 - Present

University of Science and Technology of China

School of the Gifted Young
Major in Computer Science & Member of the USTC Honor Class of Artificial Intelligence
September 2017 - June 2021

Linyi NO.1 High School of Shandong Province

September 2015 - June 2017


GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling

Bowen Zhang, Yiji Cheng, Jiaolong Yang, Chunyu Wang, Feng Zhao, Yansong Tang, Dong Chen, Baining Guo.

We present a structured and explicit representation for 3D generative modeling by structuring Gaussian Splatting using Optimal Transport, achieving state-of-the-art generation quality.


RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models

Bowen Zhang*, Yiji Cheng*, Chunyu Wang, Ting Zhang, Jiaolong Yang, Yansong Tang, Feng Zhao, Dong Chen, Baining Guo.

We introduce RodinHD, which can generate high-fidelity 3D avatars from a frontal view portrait image.

ECCV 2024

MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation

Bowen Zhang*, Chenyang Qi*, Pan Zhang, Bo Zhang, HsiangTao Wu, Dong Chen, Qifeng Chen, Yong Wang, Fang Wen.

We propose an ID-preserving talking head generation framework and achieves fast personalized adaptation through the proposed meta-learning approach.

CVPR 2023

StyleSwin: Transformer-based GAN for High-resolution Image Generation

Bowen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, Baining Guo.

A transformer-based GAN crafted for high-resolution image synthesis, which achieves SOTA generation quality on the resolution of 1024, which for the first time, approaches the best performed ConvNets.

CVPR 2022


  • 2021 USTC Outstanding Graduate Student
  • 2020 USTC Outstanding Student Scholarship, Gold Award
  • 1st Place - ISC2020 SCC (International Super Computing Student Cluster Competition)
  • 2019 8700, Special Class for Gifted Young Innovation Scholarship
  • 2019 USTC Outstanding Student Scholarship, Silver Award
  • 3rd Place - 2019 PAC (Parallel Application Competition)
  • 2018 USTC Outstanding Student Scholarship, Silver Award
  • 2018 iGEM USTC Software, Silver Award
  • 2018 USTC 60th Anniversary Outstanding Volunteer
  • 2017 USTC Outstanding Student Scholarship, Bronze Award


I have broad interests in both Computer Science and Artificial Intelligence. It is really exciting to find out the bottlenecks of the programs and try our best to optimize them using our knowledge. I am also interested in NLP (Natural Language Processing), and I try to use these amazing techniques (such as sentiment analysis, question answering and so on) to make machines better understanding humans. Besides, I think analyzing mass data and finding the underlying patterns is also an awesome thing.

I Love playing Rubik Cubes in my spare time, and I have taken part in world level competitions many times. Making decisions about what to do next in just seconds is really exciting, and you can check out my personal best record at the World Cube Association website.

I also love music and singing. I have made a home studio and have covered some of my favorite songs, you can check out these covers at my radio in NetEase Cloud Music. Besides, I'm now trying to write my songs.


Programming Languages & Tools
  • C/C++
  • Python
  • Latex
  • Linux
  • Chinese
  • English
    • TOFEL: Total 101 (Reading 28 Listening 23 Speaking 23 Writing 27)
  • Basic music theory
  • Basic music recording and mixing techniques