Zhandong Liu

According to our database, Zhandong Liu authored at least 39 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Assessing and Enhancing Large Language Models in Rare Disease Question-answering.

Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu

CoRR, 2024

CSCNet: Cross-stage Shiff Convolution Network for Object Detection.

Gang Liu, Zhandong Liu, Yuan Ren, Haifang Li, Nan Ding, Ke Li

Proceedings of the 2024 5th International Conference on Computing, 2024

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., December, 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., October, 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

A Time-Sensitive Attribute-Oriented Multi-Message Dynamic Scheduling Method in ROS2-RTPS.

Cheng Hui Ji, Chuang Ye Hu, Zhandong Liu, Nan Ding

Proceedings of the IEEE International Conference on Smart Internet of Things, 2023

2022

Dual-branch Attention Detection Network for Scene Text Detection.

Ronghua Jiang, Zhandong Liu, Ke Li, Lu Liang

Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

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

Proceedings of the AMIA 2022, 2022

2021

MFECN: Multi-level Feature Enhanced Cumulative Network for Scene Text Detection.

Zhandong Liu, Wengang Zhou, Houqiang Li

ACM Trans. Multim. Comput. Commun. Appl., 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

A hybrid deep neural network for robust single-cell genome-wide DNA methylation detection.

Russell A. Li, Zhandong Liu

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

AB-LSTM: Attention-based Bidirectional LSTM Model for Scene Text Detection.

Zhandong Liu, Wengang Zhou, Houqiang Li

ACM Trans. Multim. Comput. Commun. Appl., 2020

Stress detection using deep neural networks.

Russell A. Li, Zhandong Liu

BMC Medical Informatics Decis. Mak., 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

Bioinform., 2020

PRIME: a probabilistic imputation method to reduce dropout effects in single-cell RNA sequencing.

Hyundoo Jeong, Zhandong Liu

Bioinform., 2020

2019

Scene text detection with fully convolutional neural networks.

Zhandong Liu, Wengang Zhou, Houqiang Li

Multim. Tools Appl., 2019

Poster Abstract: Augmented Reality Based Therapy System for Social Skill Deficits.

Kewei Sha, Zhandong Liu, Jack Dempsey

Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019

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

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Detecting hidden batch factors through data-adaptive adjustment for biological effects.

Haidong Yi, Ayush T. Raman, Han Zhang, Genevera I. Allen, Zhandong Liu

Bioinform., 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

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 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

Proceedings of the 13th Annual International Conference of the Alliance of Digital Humanities Organizations, 2018

Decoding TDP-43 Dependent Cryptic Splicing in Amyotrophic Lateral Sclerosis and Identifying Novel Disease-causing Genes.

Hari Krishna Yalamanchili, Hyun-Hwan Jeong, Zhandong Liu

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

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

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

Comprehensive evaluation of RNA-seq quantification methods for linearity.

Haijing Jin, Ying-Wooi Wan, Zhandong Liu

BMC Bioinform., 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

PIM: Parallelization of Ising Model for Genomics Data.

Qiankun Dong, Chao Liu, Tao Li, Zhandong Liu

Proceedings of the 3rd International Conference on Big Data Computing and Communications, 2017

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, Zhandong Liu

BMC Syst. Biol., 2016

TCGA2STAT: simple TCGA data access for integrated statistical analysis in R.

Ying-Wooi Wan, Genevera I. Allen, Zhandong Liu

Bioinform., 2016

Chinese sign language recognition based on trajectory and hand shape features.

Jun He, Zhandong Liu, Jihai Zhang

Proceedings of the 2016 Visual Communications and Image Processing, 2016

2015

Graphical models via univariate exponential family distributions.

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

J. Mach. Learn. Res., 2015

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

Mixed Graphical Models via Exponential Families.

Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

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

On Poisson Graphical Models.

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Conditional Random Fields via Univariate Exponential Families.

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Identifying cancer biomarkers through a network regularized Cox model.

Ying-Wooi Wan, John Nagorski, Genevera I. Allen, Zhaohui Li, Zhandong Liu

Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

2012

Graphical Models via Generalized Linear Models.

Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Log-Linear Graphical Model for inferring genetic networks from high-throughput sequencing data.

Genevera I. Allen, Zhandong Liu

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012