3 papers
q-bio.GN2026
ORBIT: Learning Gene Program Co-Activation Structure for Cell-Type-Stratified Pathway Rewiring Analysis in Single-Cell Transcriptomics
Yuechen Wang, Lina Jia, Qinglong Wang +1
Gene programs co-activate within cells, but existing single-cell methods either treat programs independently or require experimental perturbation data to model their interactions.…
cs.LG2026
NeuroPlastic: A Plasticity-Modulated Optimizer for Biologically Inspired Learning Dynamics
Douglas Jiang, Yuechen Wang, Jiayi Wang +3
Optimization algorithms are fundamental to modern deep learning, yet most widely used methods rely on update rules based primarily on local gradient statistics. We introduce NeuroP…
q-bio.GN2025
Contrastive Learning Enhances Language Model Based Cell Embeddings for Low-Sample Single Cell Transcriptomics
Luxuan Zhang, Douglas Jiang, Qinglong Wang +2
Large language models (LLMs) have shown strong ability in generating rich representations across domains such as natural language processing and generation, computer vision, and mu…