Immersive and Interactive Exploration of Billion-Atom Systems. - Ashish Sharma 001; Xinlian Liu; Paul Miller; Aiichiro Nakano; Rajiv K. Kalia; Priya Vashishta; Wei Zhao; Timothy Campbell; Andy Haas (VR, 2002)

Immersive and Interactive Exploration of Billion-Atom Systems. - Ashish Sharma 001; Aiichiro Nakano; Rajiv K. Kalia; Priya Vashishta; Sanjay Kodiyalam; Paul Miller; Wei Zhao; Xinlian Liu; Timothy Campbell; Andy Haas (Presence Teleoperators Virtual Environ., 2003)

A Parallel Genetic Algorithm Scheme of the One-Dimension Cutting Stock Optimization Problem. - John Shafer; Sam Ullmann; Keiko Akagi; Xinlian Liu (CSC, 2005)

A Scalable Parallel Algorithm for Forest Ecosystem Modeling Problem. - Matt Reed; Roger Krull; Xinlian Liu (METMBS, 2005)

Teaching parallel computing in a small college: meeting a renewed demand. - Xinlian Liu (J. Comput. Sci. Coll., 2008)

Scientific computing and applications in informatics: tutorial presentation. - Xinlian Liu; Sarangan Ravichandran (J. Comput. Sci. Coll., 2009)

Scalable Biomedical Image Synthesis with GAN. - Karen Canas; Brandon Ubiera; Xinlian Liu; Yanling Liu (PEARC, 2018)

A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification. - Thomas Corcoran; Rafael Zamora-Resendiz; Xinlian Liu; Silvia Crivelli (CoRR, 2018)

Enabling Interdisciplinary Instruction in Computer Science and Humanities - An Innovative Teaching and Learning Model Customized for Small Liberal Arts Colleges. - William B. Crum Jr.; Aaron Angello; Xinlian Liu; Corey Campion (ICCS (5), 2019)

Deep Learning Enabled Predicting Modeling of Mortality of Diabetes Mellitus Patients. - Ian Wittler; Xinlian Liu; Aijuan Dong (PEARC, 2019)

A Statistical Method for Constructing Tang Poet Social Networks. - Aijuan Dong; Xinlian Liu (ICSC, 2020)

Automated Detection of Corona Cavities from SDO Images with YOLO. - Aijuan Dong; Xinlian Liu (BigMM, 2021)

Accelerating Deep Learning Training Through Transparent Storage Tiering. - Marco Dantas; Diogo Leitão; Peter Cui; Ricardo Macedo; Xinlian Liu; Weijia Xu; João Paulo 001 (CCGRID, 2022)

Multiscale Graph Neural Networks for Protein Residue Contact Map Prediction. - Kuang Liu; Rajiv K. Kalia; Xinlian Liu; Aiichiro Nakano; Ken-ichi Nomura; Priya Vashishta; Rafael Zamora-Resendiz (CoRR, 2022)

Increased Expression of INHBA Is Correlated With Poor Prognosis and High Immune Infiltrating Level in Breast Cancer. - Zeying Yu; Li Cheng; Xinlian Liu; Lushun Zhang; Hui Cao (Frontiers Bioinform., 2022)

Corrigendum: Increased Expression of INHBA Is Correlated With Poor Prognosis and High Immune Infiltrating Level in Breast Cancer. - Zeying Yu; Li Cheng; Xinlian Liu; Lushun Zhang; Hui Cao (Frontiers Bioinform., 2022)