Zhandong Liu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 30

Top Topics

Mixed Integer Linear Programming

Markov Networks

Top Venues

ACM Trans. Multim. Comput. Commun. Appl.

Publications

Gang Liu, Zhandong Liu, Yuan Ren, Haifang Li, Nan Ding, Ke Li
CSCNet: Cross-stage Shiff Convolution Network for Object Detection. CNIOT (2024)
Chaozhong Liu, Linhua Wang, Zhandong Liu
Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss. BMC Bioinform. 24 (1) (2023)
Chaozhong Liu, Linhua Wang, Zhandong Liu
Correction: Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss. BMC Bioinform. 24 (1) (2023)
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
SPA-STOCSY: an automated tool for identifying annotated and non-annotated metabolites in high-throughput NMR spectra. Bioinform. 39 (10) (2023)
Venkata S. Jonnakuti, Zhandong Liu, Hari Krishna Yalamanchili
C/PAS-BERT: A Novel Attention-Based Deep Learning Approach to Identify and Characterize Cleavage and Polyadenylation Sites. AMIA (2022)
Ronghua Jiang, Zhandong Liu, Ke Li, Lu Liang
Dual-branch Attention Detection Network for Scene Text Detection. DSA (2022)
Zhandong Liu, Wengang Zhou, Houqiang Li
MFECN: Multi-level Feature Enhanced Cumulative Network for Scene Text Detection. ACM Trans. Multim. Comput. Commun. Appl. 17 (3) (2021)
Anzhen Qin, Dongfeng Ning, Zhandong Liu, Aiwang Duan
Analysis of the Accuracy of an FDR Sensor in Soil Moisture Measurement under Laboratory and Field Conditions. J. Sensors 2021 (2021)
Russell A. Li, Zhandong Liu
A hybrid deep neural network for robust single-cell genome-wide DNA methylation detection. BCB (2021)
Xiao Wang, Haidong Yi, Jia Wang, Zhandong Liu, Yanbin Yin, Han Zhang
GDASC: a GPU parallel-based web server for detecting hidden batch factors. Bioinform. 36 (14) (2020)
Zhandong Liu, Wengang Zhou, Houqiang Li
AB-LSTM: Attention-based Bidirectional LSTM Model for Scene Text Detection. ACM Trans. Multim. Comput. Commun. Appl. 15 (4) (2020)
Hyundoo Jeong, Zhandong Liu
PRIME: a probabilistic imputation method to reduce dropout effects in single-cell RNA sequencing. Bioinform. 36 (13) (2020)
Russell A. Li, Zhandong Liu
Stress detection using deep neural networks. BMC Medical Informatics Decis. Mak. (11) (2020)
Kewei Sha, Zhandong Liu, Jack Dempsey
Poster Abstract: Augmented Reality Based Therapy System for Social Skill Deficits. CHASE (2019)
Hyun-Hwan Jeong, Seon Young Kim, Maxime W. C. Rousseaux, Huda Y. Zoghbi, Zhandong Liu
Beta-Binomial Modeling of CRISPR Pooled Screen Data Identifies Target Genes with Greater Sensitivity and fewer False Negatives. BCB (2019)
Zhandong Liu, Wengang Zhou, Houqiang Li
Scene text detection with fully convolutional neural networks. Multim. Tools Appl. 78 (13) (2019)
Hyun-Hwan Jeong, Hari Krishna Yalamanchili, Caiwei Guo, Joshua M. Shulman, Zhandong Liu
An ultra-fast and scalable quantification pipeline for transposable elements from next generation sequencing data. PSB (2018)
Hari Krishna Yalamanchili, Hyun-Hwan Jeong, Zhandong Liu
Decoding TDP-43 Dependent Cryptic Splicing in Amyotrophic Lateral Sclerosis and Identifying Novel Disease-causing Genes. BCB (2018)
Anne Shen Chao, Qiwei Li, Zhandong Liu
Integrating Latent Dirichlet Allocation and Poisson Graphical Model: A Deep Dive into the Writings of Chen Duxiu, Co-Founder of the Chinese Communist Party. DH (2018)
Haidong Yi, Ayush T. Raman, Han Zhang, Genevera I. Allen, Zhandong Liu
Detecting hidden batch factors through data-adaptive adjustment for biological effects. Bioinform. 34 (7) (2018)
Zhandong Liu, Yong Li, Xiangwei Qi, Yong Yang, Mei Nian, Haijun Zhang, Reziwanguli Xiamixiding
Method for unconstrained text detection in natural scene image. IET Comput. Vis. 11 (7) (2017)
Hyun-hwan Jeong, Seon Young Kim, Maxime W. C. Rousseaux, Huda Y. Zoghbi, Zhandong Liu
CRISPRcloud: a secure cloud-based pipeline for CRISPR pooled screen deconvolution. Bioinform. 33 (18) (2017)
Qiankun Dong, Chao Liu, Tao Li, Zhandong Liu
PIM: Parallelization of Ising Model for Genomics Data. BigCom (2017)
Zhandong Liu, W. Jim Zheng, Genevera I. Allen, Yin Liu, Jianhua Ruan, Zhongming Zhao
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools. BMC Bioinform. 18 (S-11) (2017)
Haijing Jin, Ying-Wooi Wan, Zhandong Liu
Comprehensive evaluation of RNA-seq quantification methods for linearity. BMC Bioinform. 18 (S-4) (2017)
Jun He, Zhandong Liu, Jihai Zhang
Chinese sign language recognition based on trajectory and hand shape features. VCIP (2016)
Haijing Jin, Ying-Wooi Wan, Zhandong Liu
Comprehensive Evaluation of RNA-seq Quantification Methods for Linearity. BCB (2016)
Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Matthew Anderson, Zhandong Liu
XMRF: an R package to fit Markov Networks to high-throughput genetics data. BMC Syst. Biol. 10 (S-3) (2016)
Ying-Wooi Wan, Genevera I. Allen, Zhandong Liu
TCGA2STAT: simple TCGA data access for integrated statistical analysis in R. Bioinform. 32 (6) (2016)
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
Graphical models via univariate exponential family distributions. J. Mach. Learn. Res. 16 (2015)
Kaifang Pang, Ying-Wooi Wan, William T. Choi, Lawrence A. Donehower, Jingchun Sun, Dhruv Pant, Zhandong Liu
Combinatorial therapy discovery using mixed integer linear programming. Bioinform. 30 (10) (2014)
Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
Mixed Graphical Models via Exponential Families. AISTATS (2014)
Yi Zhong, Ying-Wooi Wan, Kaifang Pang, Lionel M. L. Chow, Zhandong Liu
Digital sorting of complex tissues for cell type-specific gene expression profiles. BMC Bioinform. 14 (2013)
Ying-Wooi Wan, John Nagorski, Genevera I. Allen, Zhaohui Li, Zhandong Liu
Identifying cancer biomarkers through a network regularized Cox model. GENSiPS (2013)
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
Conditional Random Fields via Univariate Exponential Families. NIPS (2013)
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
On Poisson Graphical Models. NIPS (2013)
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
Graphical Models via Generalized Linear Models. NIPS (2012)
Genevera I. Allen, Zhandong Liu
A Log-Linear Graphical Model for inferring genetic networks from high-throughput sequencing data. BIBM (2012)