I am a Ph.D. student in the Data Intelligence and Computing Art Laboratory at the College of Computer Science, Sichuan University, and the Engineering Research Center of Machine Learning and Industry Intelligence, Ministry of Education of China. I am advised by Prof. Jiancheng Lv and collaborate closely with Prof. Xianggen Liu.

My research explores the frontiers of Generative Models (specifically Diffusion Models & Bayesian Flow Networks). I focus on bridging the gap between generative algorithms and practical applications, such as Molecular Generation for drug discovery and Parametric CAD Generation for industrial design.

News

• [Jul. 2026] One paper has been accepted by ACM MM 2026!
• [Nov. 2025] One paper has been accepted by IEEE TCBB!
• [Jul. 2025] One paper has been accepted by ACM MM 2025!

Selected Publications

1. GraphCAD: Geometry-Aware Diffusion on Edge-Adjacency Graphs for CAD Generation
   Wenhao Zheng, Xianggen Liu, Li Yue, Jiancheng Shi, Jiancheng Lv
   Proceedings of the 34th ACM International Conference on Multimedia
   ACM MM 2026, CCF-A

2. ProtoDiff: Prototypical Diffusion Model for Few-Shot Molecular Image Generation
   Wenhao Zheng, Peidong Liu, Hanwen Zhang, Chenwei Sun, Xiong Deng, Xianggen Liu, Jiancheng Lv
   IEEE transactions on computational biology and bioinformatics
   TCBB 2025, CCF-B, JCR Q1, IF=3.4

3. Target-Guided Bayesian Flow Networks for Quantitatively Constrained CAD Generation
   Wenhao Zheng, Chenwei Sun, Wenbo Zhang, Jiancheng Lv, Xianggen Liu
   Proceedings of the 33rd ACM International Conference on Multimedia
   ACM MM 2025, CCF-A