Haoqian Wang

BBATProt predicts protein and peptide functions using explainable deep learning, outperforming existing models in hydrolytic catalysis, peptide activity, and post-translational modification site prediction.

This paper introduces DeepCAD, a self-supervised learning method to enhance calcium imaging by reducing noise and improving SNR, leading to better neuron extraction and spike inference.

This paper introduces an unsupervised image transformation method for optical microscopy that avoids data annotation and achieves high-fidelity image transformations across modalities.

This paper introduces a high-sensitivity DCS system with 1024 parallel detection channels, enabling fast and sensitive measurement of blood flow and physiological variations.