Weitian Huang — accepted AI-conference papers

2026

GeneCaDiff: Hierarchical Tissue Image Synthesis from Gene Expression via Multi-Stage Cascaded Diffusion Model

Weitian Huang, Shuaibo Gao, Bing Liu, Xiaoqi Sheng, Jiazhou Chen, Hongmin Cai

IJCAI 2026

The scarcity of paired gene expression and pathology images datasets poses a major bottleneck for training large-scale pathology foundation models. Although gene-to-image generative models offer a promising solution, existing methods typically employ coarse-grained conditional control strategies, re

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2023

Generalized Information-theoretic Multi-view Clustering

Weitian Huang, Sirui Yang, Hongmin Cai

NeurIPS 2023poster

In an era of more diverse data modalities, multi-view clustering has become a fundamental tool for comprehensive data analysis and exploration. However, existing multi-view unsupervised learning methods often rely on strict assumptions on semantic consistency among samples. In this paper, we reformu…

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