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.
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.
We introduce RodinHD, which can generate high-fidelity 3D avatars from a frontal view portrait image.
We propose an ID-preserving talking head generation framework and achieves fast personalized adaptation through the proposed meta-learning approach.
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.
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.