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2020 – today
- 2026
[j4]Minghao Han, Dingkang Yang
, Jiabei Cheng, Xukun Zhang, Zizhi Chen, Haopeng Kuang, Lihua Zhang:
Towards unified molecule-enhanced pathology image representation learning via integrating spatial transcriptomics. Pattern Recognit. 172: 112458 (2026)- [i8]Bihui Yu, Xinglong Xu, Junjie Jiang, Jiabei Cheng, Caijun Jia, Siyuan Li, Conghui He, Jingxuan Wei, Cheng Tan:
PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents. CoRR abs/2605.10341 (2026) - [i7]Jiabei Cheng, Jingbo Zhou, Jun Xia, Changkai Li, Zhen Lei, Chang Yu, Stan Z. Li:
scTranslation: A Comprehensive Benchmark for Single-Cell Multi-Omics Modality Translation. CoRR abs/2606.03906 (2026) - 2025
- [j3]Kaiyuan Yang, Jiabei Cheng, Shenghao Cao, Xiaoyong Pan, Hong-Bin Shen, Ye Yuan:
Predicting transcriptional changes induced by molecules with MiTCP. Briefings Bioinform. 26(1) (2025) - [j2]Kaiyuan Yang, Jiabei Cheng, Shenghao Cao, Xiaoyong Pan, Hongbin Shen, Jin Cheng, Ye Yuan:
Integration of multi-source gene interaction networks and omics data with graph attention networks to identify novel disease genes. Bioinform. 41(7) (2025) - [c3]Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li:
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype. IJCAI 2025: 4949-4957 - [c2]Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia:
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation. NeurIPS 2025 - [i6]Jiabei Cheng, Zhen-Qun Yang, Jiannong Cao, Yu Yang, Kai Cheung Franky Poon, Daniel Lai:
Modeling Behavior Change for Multi-model At-Risk Students Early Prediction (extended version). CoRR abs/2503.05734 (2025) - [i5]Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li:
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype. CoRR abs/2505.03853 (2025) - [i4]Jiabei Cheng, Zhen-Qun Yang, Jiannong Cao, Yu Yang, Xinzhe Zheng:
Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach. CoRR abs/2505.11119 (2025) - [i3]Xinzhe Zheng, Zhen-Qun Yang, Jiannong Cao, Jiabei Cheng:
Predicting Multi-Type Talented Students in Secondary School Using Semi-Supervised Machine Learning. CoRR abs/2509.00863 (2025) - [i2]Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia:
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation. CoRR abs/2510.07964 (2025) - 2024
- [j1]Jiabei Cheng, Xiaoyong Pan, Yi Fang, Kaiyuan Yang, Yiming Xue, Qingran Yan, Ye Yuan:
GexMolGen: cross-modal generation of hit-like molecules via large language model encoding of gene expression signatures. Briefings Bioinform. 25(6) (2024) - [c1]Jiabei Cheng, Jiachen Li, Kaiyuan Yang, Hongbin Shen, Ye Yuan:
GenoHoption: Bridging Gene Network Graphs and Single-Cell Foundation Models. BIBM 2024: 1453-1456 - [i1]Minghao Han, Dingkang Yang, Jiabei Cheng, Xukun Zhang, Linhao Qu, Zizhi Chen, Lihua Zhang:
Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics. CoRR abs/2412.00651 (2024)
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