A Log-Linear Graphical Model for inferring genetic networks from high-throughput sequencing data. - Genevera I. Allen; Zhandong Liu (BIBM, 2012)

Graphical Models via Generalized Linear Models. - Eunho Yang; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (NIPS, 2012)

Identifying cancer biomarkers through a network regularized Cox model. - Ying-Wooi Wan; John Nagorski; Genevera I. Allen; Zhaohui Li; Zhandong Liu (GENSiPS, 2013)

Conditional Random Fields via Univariate Exponential Families. - Eunho Yang; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (NIPS, 2013)

On Poisson Graphical Models. - Eunho Yang; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (NIPS, 2013)

Digital sorting of complex tissues for cell type-specific gene expression profiles. - Yi Zhong; Ying-Wooi Wan; Kaifang Pang; Lionel M. L. Chow; Zhandong Liu (BMC Bioinform., 2013)

Mixed Graphical Models via Exponential Families. - Eunho Yang; Yulia Baker; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (AISTATS, 2014)

Combinatorial therapy discovery using mixed integer linear programming. - Kaifang Pang; Ying-Wooi Wan; William T. Choi; Lawrence A. Donehower; Jingchun Sun; Dhruv Pant; Zhandong Liu (Bioinform., 2014)

Graphical models via univariate exponential family distributions. - Eunho Yang; Pradeep Ravikumar; Genevera I. Allen; Zhandong Liu (J. Mach. Learn. Res., 2015)

Chinese sign language recognition based on trajectory and hand shape features. - Jun He; Zhandong Liu; Jihai Zhang (VCIP, 2016)

TCGA2STAT: simple TCGA data access for integrated statistical analysis in R. - Ying-Wooi Wan; Genevera I. Allen; Zhandong Liu (Bioinform., 2016)

XMRF: an R package to fit Markov Networks to high-throughput genetics data. - Ying-Wooi Wan; Genevera I. Allen; Yulia Baker; Eunho Yang; Pradeep Ravikumar; Matthew Anderson 002; Zhandong Liu (BMC Syst. Biol., 2016)

PIM: Parallelization of Ising Model for Genomics Data. - Qiankun Dong; Chao Liu; Tao Li 022; Zhandong Liu (BigCom, 2017)

CRISPRcloud: a secure cloud-based pipeline for CRISPR pooled screen deconvolution. - Hyun-hwan Jeong; Seon Young Kim; Maxime W. C. Rousseaux; Huda Y. Zoghbi; Zhandong Liu (Bioinform., 2017)

Comprehensive evaluation of RNA-seq quantification methods for linearity. - Haijing Jin; Ying-Wooi Wan; Zhandong Liu (BMC Bioinform., 2017)

The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools. - Zhandong Liu; W. Jim Zheng; Genevera I. Allen; Yin Liu; Jianhua Ruan; Zhongming Zhao (BMC Bioinform., 2017)

Method for unconstrained text detection in natural scene image. - Zhandong Liu; Yong Li; Xiangwei Qi; Yong Yang; Mei Nian; Haijun Zhang; Reziwanguli Xiamixiding (IET Comput. Vis., 2017)

Decoding TDP-43 Dependent Cryptic Splicing in Amyotrophic Lateral Sclerosis and Identifying Novel Disease-causing Genes. - Hari Krishna Yalamanchili; Hyun-Hwan Jeong; Zhandong Liu (BCB, 2018)

Integrating Latent Dirichlet Allocation and Poisson Graphical Model: A Deep Dive into the Writings of Chen Duxiu, Co-Founder of the Chinese Communist Party. - Anne Shen Chao; Qiwei Li; Zhandong Liu (DH, 2018)

An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing data. - Hyun-Hwan Jeong; Hari Krishna Yalamanchili; Caiwei Guo; Joshua M. Shulman; Zhandong Liu (PSB, 2018)

Detecting hidden batch factors through data-adaptive adjustment for biological effects. - Haidong Yi; Ayush T. Raman; Han Zhang 017; Genevera I. Allen; Zhandong Liu (Bioinform., 2018)

Beta-Binomial Modeling of CRISPR Pooled Screen Data Identifies Target Genes with Greater Sensitivity and fewer False Negatives. - Hyun-Hwan Jeong; Seon Young Kim; Maxime W. C. Rousseaux; Huda Y. Zoghbi; Zhandong Liu (BCB, 2019)

Poster Abstract: Augmented Reality Based Therapy System for Social Skill Deficits. - Kewei Sha; Zhandong Liu; Jack Dempsey (CHASE, 2019)

Scene text detection with fully convolutional neural networks. - Zhandong Liu; Wengang Zhou 001; Houqiang Li (Multim. Tools Appl., 2019)

PRIME: a probabilistic imputation method to reduce dropout effects in single-cell RNA sequencing. - Hyundoo Jeong; Zhandong Liu (Bioinform., 2020)

GDASC: a GPU parallel-based web server for detecting hidden batch factors. - Xiao Wang; Haidong Yi; Jia Wang; Zhandong Liu; Yanbin Yin; Han Zhang 017 (Bioinform., 2020)

Stress detection using deep neural networks. - Russell A. Li; Zhandong Liu (BMC Medical Informatics Decis. Mak., 2020)

AB-LSTM: Attention-based Bidirectional LSTM Model for Scene Text Detection. - Zhandong Liu; Wengang Zhou 001; Houqiang Li (ACM Trans. Multim. Comput. Commun. Appl., 2020)

A hybrid deep neural network for robust single-cell genome-wide DNA methylation detection. - Russell A. Li; Zhandong Liu (BCB, 2021)

Analysis of the Accuracy of an FDR Sensor in Soil Moisture Measurement under Laboratory and Field Conditions. - Anzhen Qin; Dongfeng Ning; Zhandong Liu; Aiwang Duan (J. Sensors, 2021)

MFECN: Multi-level Feature Enhanced Cumulative Network for Scene Text Detection. - Zhandong Liu; Wengang Zhou 001; Houqiang Li (ACM Trans. Multim. Comput. Commun. Appl., 2021)

C/PAS-BERT: A Novel Attention-Based Deep Learning Approach to Identify and Characterize Cleavage and Polyadenylation Sites. - Venkata S. Jonnakuti; Zhandong Liu; Hari Krishna Yalamanchili (AMIA, 2022)

Dual-branch Attention Detection Network for Scene Text Detection. - Ronghua Jiang; Zhandong Liu; Ke Li; Lu Liang (DSA, 2022)

A DQN Algorithm for Traffic Signal Control Based on Meta-learning Training. - Ke Li 031; Zhandong Liu; Nan Ding 001; Ronghua Jiang (ICDSP, 2023)

A Time-Sensitive Attribute-Oriented Multi-Message Dynamic Scheduling Method in ROS2-RTPS. - Cheng Hui Ji; Chuang Ye Hu; Zhandong Liu; Nan Ding 001 (SmartIoT, 2023)

Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss. - Chaozhong Liu; Linhua Wang; Zhandong Liu (BMC Bioinform., 2023)

SPA-STOCSY: an automated tool for identifying annotated and non-annotated metabolites in high-throughput NMR spectra. - Xu Han; Wanli Wang; Li-Hua Ma; Ismael Ai-Ramahi; Juan Botas; Kevin Mackenzie; Genevera I. Allen; Damian W. Young; Zhandong Liu; Mirjana Maletic-Savatic (Bioinform., 2023)

Correction: Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss. - Chaozhong Liu; Linhua Wang; Zhandong Liu (BMC Bioinform., 2023)

CSCNet: Cross-stage Shiff Convolution Network for Object Detection. - Gang Liu; Zhandong Liu; Yuan Ren; Haifang Li; Nan Ding 001; Ke Li 031 (CNIOT, 2024)

CoRegNet: unraveling gene co-regulation networks from public RNA-Seq repositories using a beta-binomial statistical model. - Jiasheng Wang; Ying-Wooi Wan; Rami Al-Ouran; Meichen Huang; Zhandong Liu (Briefings Bioinform., 2024)

Assessing and Enhancing Large Language Models in Rare Disease Question-answering. - Guanchu Wang; Junhao Ran; Ruixiang Tang; Chia-Yuan Chang 002; Yu-Neng Chuang; Zirui Liu 001; Vladimir Braverman; Zhandong Liu; Xia Hu 001 (CoRR, 2024)

Research on Multi-Objective Pedestrian Tracking Algorithm Based on Full-Size Feature Fusion. - Yihuai Zhu; Zhandong Liu; Ke Li 031; Yong Li; Xiangwei Qi; Nan Ding 001 (IEEE Access, 2025)

Adaptive graph neural network protection algorithm based on differential privacy. - Junjie Yu; Yong Li 019; Zhandong Liu; Qianren Yang (J. Syst. Softw., 2025)

Survey and Improvement Strategies for Gene Prioritization with Large Language Models. - Matthew Neeley; Guantong Qi; Guanchu Wang; Ruixiang Tang; Dongxue Mao; Chaozhong Liu; Sasidhar Pasupuleti; Bo Yuan 001; Fan Xia; Pengfei Liu; Zhandong Liu; Xia Ben Hu (CoRR, 2025)

ConSol: Sequential Probability Ratio Testing to Find Consistent LLM Reasoning Paths Efficiently. - Jaeyeon Lee; Guantong Qi; Matthew Neeley; Zhandong Liu; Hyun-Hwan Jeong (CoRR, 2025)

Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions. - Athanasios Papastathopoulos-Katsaros; Alexandra Stavrianidi; Zhandong Liu (CoRR, 2025)