Central Banking after the Great Recession in U.S.: a new normal? - Jiayi Cheng; Sijia He; Zhuohan Yu; Chunyi Zhou (ICEBT, 2021)

Elucidating transcriptomic profiles from single-cell RNA sequencing data using nature-inspired compressed sensing. - Zhuohan Yu; Chuang Bian; Genggeng Liu; Shixiong Zhang 002; Ka-Chun Wong; Xiangtao Li (Briefings Bioinform., 2021)

ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. - Zhuohan Yu; Yifu Lu; Yunhe Wang 002; Fan Tang; Ka-Chun Wong; Xiangtao Li (AAAI, 2022)

A Corpus-Based Sampling to Build Training Data Set for Extracting Japanese Sentence Pattern. - Jun Liu; Yihaoran Ning; Yuanyu Fang; Luxuan Zhuang; Zhuohan Yu; Tingkun Wu (ICEIT, 2022)

GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering. - Yifu Lu; Zhuohan Yu; Yunhe Wang 006; Zhiqiang Ma 003; Ka-Chun Wong; Xiangtao Li (Bioinform., 2022)

Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics. - Yue Cheng; Yanchi Su; Zhuohan Yu; Yanchun Liang; Ka-Chun Wong; Xiangtao Li (AAAI, 2023)

DTtree: A Novel Read/Write-Optimized Learned Index for Database Systems. - Zhuohan Yu; Peiquan Jin; Zhaole Chu; Yongping Luo; Xiaoliang Wang; Shouhong Wan (ICPADS, 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)