Jiabei Cheng — accepted AI-conference papers

2025

GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype

Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li

IJCAI 2025

Predicting genetic perturbations enables the identification of potentially crucial genes prior to wet-lab experiments, significantly improving overall experimental efficiency. Since genes are the foundation of cellular life, building gene regulatory networks (GRN) is essential to understand and pred

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2025

PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation

Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia

NeurIPS 2025poster

In single-cell perturbation prediction, a central task is to forecast the effects of perturbing a gene unseen in the training data. The efficacy of such predictions depends on two factors: (1) the similarity of the target gene to those covered in the training data, which informs model (epistemic) un…

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