Linear FPT reductions and computational lower bounds. - Jianer Chen; Xiuzhen Huang; Iyad A. Kanj; Ge Xia (STOC, 2004)

W-Hardness Under Linear FPT-Reductions: Structural Properties and Further Applications. - Jianer Chen; Xiuzhen Huang; Iyad A. Kanj; Ge Xia (COCOON, 2005)

Efficient Parameterized Algorithm for Biopolymer Structure-Sequence Alignment. - Yinglei Song; Chunmei Liu; Xiuzhen Huang; Russell L. Malmberg; Ying Xu 001; Liming Cai (WABI, 2005)

Tight lower bounds for certain parameterized NP-hard problems. - Jianer Chen; Benny Chor; Mike Fellows; Xiuzhen Huang; David W. Juedes; Iyad A. Kanj; Ge Xia (Inf. Comput., 2005)

Parameterized Computation of LCS for Two Sequences. - Yuan Lin; Jeff Jenness; Xiuzhen Huang (BIOCOMP, 2006)

Lower Bounds and Parameterized Approach for Longest Common Subsequence. - Xiuzhen Huang (COCOON, 2006)

Negative-Weight Cycle Algorithms. - Xiuzhen Huang (FCS, 2006)

On PTAS for Planar Graph Problems. - Xiuzhen Huang; Jianer Chen (IFIP TCS, 2006)

Maximum Common Subgraph: Upper Bound and Lower Bound Results. - Xiuzhen Huang; Jing Lai (IMSCCS (1), 2006)

Maximum common subgraph: some upper bound and lower bound results. - Xiuzhen Huang; Jing Lai; Steven F. Jennings (BMC Bioinform., 2006)

On the computational hardness based on linear FPT-reductions. - Jianer Chen; Xiuzhen Huang; Iyad A. Kanj; Ge Xia (J. Comb. Optim., 2006)

Strong computational lower bounds via parameterized complexity. - Jianer Chen; Xiuzhen Huang; Iyad A. Kanj; Ge Xia (J. Comput. Syst. Sci., 2006)

Efficient Parameterized Algorithms for Biopolymer Structure-Sequence Alignment. - Yinglei Song; Chunmei Liu; Xiuzhen Huang; Russell L. Malmberg; Ying Xu 001; Liming Cai (IEEE ACM Trans. Comput. Biol. Bioinform., 2006)

Parameterized Graph Problems in Computational Biology. - Xiuzhen Huang; Jing Lai (IMSCCS, 2007)

K-Means Clustering Algorithms: Implementation and Comparison. - Gregory A. Wilkin; Xiuzhen Huang (IMSCCS, 2007)

Polynomial time approximation schemes and parameterized complexity. - Jianer Chen; Xiuzhen Huang; Iyad A. Kanj; Ge Xia (Discret. Appl. Math., 2007)

A Relational Approach for Pathway Analysis. - Cody Ashby; Xiuzhen Huang; Jeff Jenness; Joseph Kerby (IMSCCS, 2008)

Addressing Bio-sequence and Bio-structure Problems. - Xiuzhen Huang (IMSCCS, 2008)

A practical comparison of two K-Means clustering algorithms. - Gregory A. Wilkin; Xiuzhen Huang (BMC Bioinform., 2008)

Parameterized Complexity and Biopolymer Sequence Comparison. - Liming Cai; Xiuzhen Huang; Chunmei Liu; Frances A. Rosamond; Yinglei Song (Comput. J., 2008)

Analyzing genetic factors involved in recombinant protein expression enhancement. - Daniel Johnson; Keat Teoh; Cody Ashby; Elizabeth Hood; Xiuzhen Huang (BIBM Workshops, 2010)

Fixed-Parameter Approximation: Conceptual Framework and Approximability Results. - Liming Cai; Xiuzhen Huang (Algorithmica, 2010)

Graph-based approach for gene markers and applications in next-generation sequencing data analysis. - Daniel Johnson; Kun Wang; Carole L. Cramer; Xiuzhen Huang (BCB, 2011)

A New Framework for Co-clustering of Gene Expression Data. - Shuzhong Zhang; Kun Wang; Bilian Chen; Xiuzhen Huang (PRIB, 2011)

Study of Protein Structure Alignment Problem in Parameterized Computation. - Cody Ashby; Kun Wang; Carole L. Cramer; Xiuzhen Huang (BIOINFORMATICS, 2012)

A Unified Adaptive Co-identification Framework for High-D Expression Data. - Shuzhong Zhang; Kun Wang; Cody Ashby; Bilian Chen; Xiuzhen Huang (PRIB, 2012)

No-boundary thinking in bioinformatics research. - Xiuzhen Huang; Barry Bruce; Alison Buchan; Clare Bates Congdon; Carole L. Cramer; Steven F. Jennings; Hongmei Jiang; Zenglu Li; Gail McClure; Rick McMullen; Jason H. Moore; Bindu Nanduri; et al. (BioData Min., 2013)

Polynomial kernels collapse the W-hierarchy. - Liang Ding 007; Abdul Samad; Xingran Xue; Xiuzhen Huang; Liming Cai (CoRR, 2013)

Stochastic k-Tree Grammar and Its Application in Biomolecular Structure Modeling. - Liang Ding 007; Abdul Samad; Xingran Xue; Xiuzhen Huang; Russell L. Malmberg; Liming Cai (LATA, 2014)

Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm. - Xiuzhen Huang; Steven F. Jennings; Barry Bruce; Alison Buchan; Liming Cai; Pengyin Chen; Carole L. Cramer; Weihua Guan; Uwe Hilgert; Hongmei Jiang; Zenglu Li; Gail McClure; et al. (BioData Min., 2015)

Tensor models: solution methods and applications. - Shiqian Ma; Bo Jiang 007; Xiuzhen Huang; Shuzhong Zhang (Big Data over Networks, 2016)

BinPacker: Packing-Based De Novo Transcriptome Assembly from RNA-seq Data. - Juntao Liu; Guojun Li; Zheng Chang; Ting Yu 010; Bingqiang Liu; Rick McMullen; Pengyin Chen; Xiuzhen Huang (PLoS Comput. Biol., 2016)

No-Boundary Thinking in Bioinformatics. - Jason H. Moore; Steven F. Jennings; Casey S. Greene; Lawrence E. Hunter; Andy D. Perkins; ClarLynda R. Williams-DeVane; Donald C. Wunsch; Zhongming Zhao; Xiuzhen Huang (PSB, 2017)

Novel Low Cost 3D Surface Model Reconstruction System for Plant Phenotyping. - Suxing Liu; Lucia M. Acosta-Gamboa; Xiuzhen Huang; Argelia Lorence (J. Imaging, 2017)

EBIC: a next-generation evolutionary-based parallel biclustering method. - Patryk Orzechowski; Moshe Sipper; Xiuzhen Huang; Jason H. Moore (GECCO (Companion), 2018)

runibic: a Bioconductor package for parallel row-based biclustering of gene expression data. - Patryk Orzechowski; Artur Panszczyk; Xiuzhen Huang; Jason H. Moore (Bioinform., 2018)

EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery. - Patryk Orzechowski; Moshe Sipper; Xiuzhen Huang; Jason H. Moore (Bioinform., 2018)

EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery. - Patryk Orzechowski; Moshe Sipper; Xiuzhen Huang; Jason H. Moore (CoRR, 2018)

Highly accurate model for prediction of lung nodule malignancy with CT scans. - Jason L. Causey; Junyu Zhang; Shiqian Ma; Bo Jiang 007; Jake A. Qualls; David G. Politte; Fred W. Prior; Shuzhong Zhang; Xiuzhen Huang (CoRR, 2018)

Lung cancer screening with low-dose CT scans using a deep learning approach. - Jason L. Causey; Yuanfang Guan; Wei Dong 003; Karl Walker; Jake A. Qualls; Fred W. Prior; Xiuzhen Huang (CoRR, 2019)

Detecting Asymmetric Patterns and Localizing Cancers on Mammograms. - Yuanfang Guan; Xueqing Wang; Hongyang Li; Zhenning Zhang; Xianghao Chen; Omer Siddiqui; Sara Nehring; Xiuzhen Huang (Patterns, 2020)

Identify differentially expressed genes with large background samples. - Jennifer Fowler; Jonathan W. Stubblefield; Jason L. Causey; Jake A. Qualls; Wei Dong 003; Hongmei Jiang; Karl Walker; Yuanfang Guan; Xiuzhen Huang (Int. J. Comput. Biol. Drug Des., 2021)

NBT (no-boundary thinking): needed to attend to ethical implications of data and AI. - Joan Peckham; Andy D. Perkins; Tayo Obafemi-Ajayi; Xiuzhen Huang (BCB, 2022)

Team building without boundaries. - Andy D. Perkins; Joan Peckham; Tayo Obafemi-Ajayi; Xiuzhen Huang (BCB, 2022)

CrossCas: A Novel Cross-Platform Approach for Predicting Cascades in Online Social Networks with Hidden Markov Model. - Jinwei Liu; Xiaonan Zhang 001; Richard A. Aló; Xiuzhen Huang; Long Cheng 003; Feng Deng (GLOBECOM, 2022)

Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection. - Jason L. Causey; Keyu Li; Xianghao Chen; Wei Dong 003; Karl Walker; Jake A. Qualls; Jonathan W. Stubblefield; Jason H. Moore; Yuanfang Guan; Xiuzhen Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images. - Jason L. Causey; Jonathan W. Stubblefield; Jake A. Qualls; Jennifer Fowler; Lingrui Cai; Karl Walker; Yuanfang Guan; Xiuzhen Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Editorial. - Xiuzhen Huang; Yu Zhang 150; Xuan Guo (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Advancing LGBTQ+ inclusion in STEM education and AI research. - Emily Wong; Ryan J. Urbanowicz; Tiffani J. Bright; Nicholas P. Tatonetti; Yi-Wen Hsiao; Xiuzhen Huang; Jason H. Moore; Pei-Chen Peng (Patterns, 2024)