Xiaoqi Sheng — 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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2026

URFPert: Unrolled Regulatory Flow Networks for Out-of-Distribution Single-Cell Perturbation Prediction

Xiaoqi Sheng, Jiawen Liu, Yutong Li, Sankar Mondal, Jiaming Liang, Tinghe Zhang +1

IJCAI 2026

Single-cell perturbation screens enable systematic discovery of gene regulatory mechanisms, yet the exponential expansion of perturbation space makes comprehensive experimentation impractical. Although in silico predictors have been increasingly proposed to address this challenge, most existing meth

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