MoTIF: a Method for Trustworthy Dynamic Multimodal Learning on Omics. - Yuxing Lu; Rui Peng 006; Jinzhuo Wang; Bingheng Jiang (BIBM, 2023)

Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes. - Yuxing Lu; Rui Peng 006; Lingkai Dong; Kun Xia; Renjie Wu 009; Shuai Xu; Jinzhuo Wang (Briefings Bioinform., 2023)

KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference. - Rui Peng 006; Yuchen Lu; Qichen Sun; Yuxing Lu; Chi Zhang; Ziru Liu; Jinzhuo Wang (NeurIPS, 2025)

TRIDENT: A Trimodal Cascade Generative Framework for Drug and RNA-Conditioned Cellular Morphology Synthesis. - Rui Peng 006; Ziru Liu; Lingyuan Ye; Yuxing Lu; Boxin Shi; Jinzhuo Wang (CoRR, 2025)

MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics. - Yuxing Lu; Xukai Zhao; J. Ben Tamo; Micky C. Nnamdi; Rui Peng 006; Shuang Zeng; Xingyu Hu; Jinzhuo Wang; May Dongmei Wang (ACL (1), 2026)