Jiabei Cheng

12 papers A* 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards unified molecule-enhanced pathology image representation learning via integrating spatial transcriptomics.
Pattern Recognit.
Minghao Han, Dingkang Yang, Jiabei Cheng, Xukun Zhang, Zizhi Chen, Haopeng Kuang, Lihua Zhang
2025 A* conf
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype.
IJCAI
Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li
2025 J jnl
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype.
CoRR
Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li
2025 J jnl
Integration of multi-source gene interaction networks and omics data with graph attention networks to identify novel disease genes.
Bioinform.
Kaiyuan Yang, Jiabei Cheng, Shenghao Cao, Xiaoyong Pan, Hongbin Shen, Jin Cheng, Ye Yuan
2025 J jnl
Modeling Behavior Change for Multi-model At-Risk Students Early Prediction (extended version).
CoRR
Jiabei Cheng, Zhen-Qun Yang, Jiannong Cao, Yu Yang, Kai Cheung Franky Poon, Daniel Lai
2025 J jnl
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation.
CoRR
Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia
2025 J jnl
Predicting Multi-Type Talented Students in Secondary School Using Semi-Supervised Machine Learning.
CoRR
Xinzhe Zheng, Zhen-Qun Yang, Jiannong Cao, Jiabei Cheng
2025 J jnl
Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach.
CoRR
Jiabei Cheng, Zhen-Qun Yang, Jiannong Cao, Yu Yang, Xinzhe Zheng
2025 J jnl
Predicting transcriptional changes induced by molecules with MiTCP.
Briefings Bioinform.
Kaiyuan Yang, Jiabei Cheng, Shenghao Cao, Xiaoyong Pan, Hong-Bin Shen, Ye Yuan
2024 — conf
GenoHoption: Bridging Gene Network Graphs and Single-Cell Foundation Models.
BIBM
Jiabei Cheng, Jiachen Li, Kaiyuan Yang, Hongbin Shen, Ye Yuan
2024 J jnl
GexMolGen: cross-modal generation of hit-like molecules via large language model encoding of gene expression signatures.
Briefings Bioinform.
Jiabei Cheng, Xiaoyong Pan, Yi Fang, Kaiyuan Yang, Yiming Xue, Qingran Yan, Ye Yuan
2024 J jnl
Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics.
CoRR
Minghao Han, Dingkang Yang, Jiabei Cheng, Xukun Zhang, Linhao Qu, Zizhi Chen, Lihua Zhang