My research interest includes machine learning, generative models, computer grahics, and computer vision… I am currently a Postdoc in KAUST, working with Peter Wonka. Before that, I obtained the BSc and MSc from Xi’an Jiaotong University.
🔥 News
- 2025.04: I will be attending ICLR 2025 in Singapore.
📚 Preprints

iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation
Hanxiao Wang, Biao Zhang📧, Weize Quan, Dong-Ming Yan, Peter Wonka

📝 Publications

LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
Biao Zhang, Peter Wonka

Vivid-ZOO: Multi-View Video Generation with Diffusion Model
Bing Li*, Cheng Zheng*, Wenxuan Zhu*, Jinjie Mai, Biao Zhang, Peter Wonka, Bernard Ghanem


Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
Wei Cao*, Chang Luo*, Biao Zhang, Matthias Niessner, Jiapeng Tang

3DShape2VecSet: A 3d shape representation for neural fields and generative diffusion models
Biao Zhang, Peter Wonka
Project, Code (Legacy), Code (Latest), ToG
- The work has been integrated into some large 3D foundation models, such as Tripo, CLAY, and Hunyuan3D.
- I gave a talk about this work in Towards 3D Foundation Models: Progress and Prospects
- Online talk Meshy, GAMES Webinar 1, GAMES Webinar 2


Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization
Biao Zhang, Peter Wonka

Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis
Jing Ren, Biao Zhang, Bojian Wu, Jianqiang Huang, Lubin Fan, Maks Ovsjanikov, Peter Wonka

Point cloud instance segmentation using probabilistic embeddings
Biao Zhang, Peter Wonka
- Featured in CVPR 2021 ScanNet workshop.
👪 Collaborators
People I have worked with (we have at least submitted one paper):
- Wei Cao (TU Munich)
- Bing Li (KAUST)
- Rui Li (KAUST)
- Matthias Niessner (TU Munich)
- Jing Ren (ETH Zurich)
- Jiapeng Tang (TU Munich)
- Hanxiao Wang (CASIA)
- Peter Wonka (KAUST)