Cancer molecular subtype classification from hypervolume-based discrete evolutionary optimization. - Yunhe Wang 002; Shaochuan Li; Lei Wang; Zhiqiang Ma 003; Xiangtao Li (Neural Comput. Appl., 2020)

Identification of pan-cancer Ras pathway activation with deep learning. - Xiangtao Li; Shaochuan Li; Yunhe Wang 002; Shixiong Zhang 002; Ka-Chun Wong (Briefings Bioinform., 2021)

Identification of haploinsufficient genes from epigenomic data using deep forest. - Yuning Yang; Shaochuan Li; Yunhe Wang 002; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Briefings Bioinform., 2021)

High-throughput single-cell RNA-seq data imputation and characterization with surrogate-assisted automated deep learning. - Xiangtao Li; Shaochuan Li; Lei Huang; Shixiong Zhang 002; Ka-Chun Wong (Briefings Bioinform., 2022)

Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning. - Shaochuan Li; Yuning Yang; Xin Wang; Jun Li 051; Jun Yu 004; Xiangtao Li; Ka-Chun Wong (BioData Min., 2022)

xTrimoABFold: De novo Antibody Structure Prediction without MSA. - Yining Wang; Xumeng Gong; Shaochuan Li; Bing Yang; YiWu Sun; Chuan Shi 001; Yangang Wang; Cheng Yang 002; Hui Li; Le Song (CoRR, 2022)

Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization. - Ruijia Wang; YiWu Sun; Yujie Luo; Shaochuan Li; Cheng Yang 002; Xingyi Cheng; Hui Li; Chuan Shi 001; Le Song (NeurIPS, 2023)

scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering. - Yunhe Wang 002; Zhuohan Yu; Shaochuan Li; Chuang Bian; Yanchun Liang; Ka-Chun Wong; Xiangtao Li (Bioinform., 2023)

Automated exploitation of deep learning for cancer patient stratification across multiple types. - Pingping Sun; Shijie Fan; Shaochuan Li; Yingwei Zhao; Chang Lu; Ka-Chun Wong; Xiangtao Li (Bioinform., 2023)

A stock price manipulation detecting model with ensemble learning. - Chengming Liu; Shaochuan Li; Lei Shi 001 (Expert Syst. Appl., 2024)

SegFinder: an automated tool for identifying complete RNA virus genome segments through co-occurrence in multiple sequenced samples. - Xue Liu; Jianbin Kong; Yongtao Shan; Ziyue Yang; Jiafan Miao; Yuanfei Pan; Tianyang Luo; Zhiyuan Shi; Yingmei Wang; Qinyu Gou; Chunhui Yang; Hanzong Li; et al. (Briefings Bioinform., 2025)