3 papers
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…
q-bio.GN2025
Bridging Large Language Models and Single-Cell Transcriptomics in Dissecting Selective Motor Neuron Vulnerability
Douglas Jiang, Zilin Dai, Luxuan Zhang +3
Understanding cell identity and function through single-cell level sequencing data remains a key challenge in computational biology. We present a novel framework that leverages gen…