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ORCIDZhandong Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c19]Gang Liu
, Zhandong Liu, Yuan Ren, Haifang Li, Nan Ding, Ke Li:
CSCNet: Cross-stage Shiff Convolution Network for Object Detection. CNIOT 2024- [i1]Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu:
Assessing and Enhancing Large Language Models in Rare Disease Question-answering. CoRR abs/2408.08422 (2024) - 2023
- [j20]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) - [j19]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): 5 (2023) - [j18]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): 123 (2023) - [c18]Cheng Hui Ji, Chuang Ye Hu, Zhandong Liu, Nan Ding:
A Time-Sensitive Attribute-Oriented Multi-Message Dynamic Scheduling Method in ROS2-RTPS. SmartIoT 2023: 211-217 - 2022
- [c17]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 - [c16]Ronghua Jiang, Zhandong Liu, Ke Li, Lu Liang:
Dual-branch Attention Detection Network for Scene Text Detection. DSA 2022: 590-596 - 2021
- [j17]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: 6665829:1-6665829:10 (2021) - [j16]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): 78:1-78:22 (2021) - [c15]Russell A. Li, Zhandong Liu:
A hybrid deep neural network for robust single-cell genome-wide DNA methylation detection. BCB 2021: 25:1-25:6 - 2020
- [j15]Hyundoo Jeong, Zhandong Liu:
PRIME: a probabilistic imputation method to reduce dropout effects in single-cell RNA sequencing. Bioinform. 36(13): 4021-4029 (2020) - [j14]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): 4211-4213 (2020) - [j13]Russell A. Li, Zhandong Liu:
Stress detection using deep neural networks. BMC Medical Informatics Decis. Mak. 20-S(11): 285 (2020) - [j12]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): 107:1-107:23 (2020)
2010 – 2019
- 2019
- [j11]Zhandong Liu, Wengang Zhou, Houqiang Li:
Scene text detection with fully convolutional neural networks. Multim. Tools Appl. 78(13): 18205-18227 (2019) - [c14]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: 552 - [c13]Kewei Sha, Zhandong Liu, Jack Dempsey:
Poster Abstract: Augmented Reality Based Therapy System for Social Skill Deficits. CHASE 2019: 19-20 - 2018
- [j10]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): 1141-1147 (2018) - [c12]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: 612 - [c11]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: 348 - [c10]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: 168-179 - 2017
- [j9]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): 2963-2965 (2017) - [j8]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): 405:1-405:3 (2017) - [j7]Haijing Jin, Ying-Wooi Wan, Zhandong Liu:
Comprehensive evaluation of RNA-seq quantification methods for linearity. BMC Bioinform. 18(S-4): 51-59 (2017) - [j6]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): 596-604 (2017) - [c9]Qiankun Dong, Chao Liu, Tao Li, Zhandong Liu:
PIM: Parallelization of Ising Model for Genomics Data. BigCom 2017: 172-177 - 2016
- [j5]Ying-Wooi Wan, Genevera I. Allen, Zhandong Liu:
TCGA2STAT: simple TCGA data access for integrated statistical analysis in R. Bioinform. 32(6): 952-954 (2016) - [j4]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): 69 (2016) - [c8]Haijing Jin, Ying-Wooi Wan, Zhandong Liu:
Comprehensive Evaluation of RNA-seq Quantification Methods for Linearity. BCB 2016: 539 - [c7]Jun He, Zhandong Liu, Jihai Zhang:
Chinese sign language recognition based on trajectory and hand shape features. VCIP 2016: 1-4 - 2015
- [j3]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical models via univariate exponential family distributions. J. Mach. Learn. Res. 16: 3813-3847 (2015) - 2014
- [j2]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): 1456-1463 (2014) - [c6]Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Mixed Graphical Models via Exponential Families. AISTATS 2014: 1042-1050 - 2013
- [j1]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: 89 (2013) - [c5]Ying-Wooi Wan, John Nagorski, Genevera I. Allen, Zhaohui Li, Zhandong Liu:
Identifying cancer biomarkers through a network regularized Cox model. GENSiPS 2013: 36-39 - [c4]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Conditional Random Fields via Univariate Exponential Families. NIPS 2013: 683-691 - [c3]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
On Poisson Graphical Models. NIPS 2013: 1718-1726 - 2012
- [c2]Genevera I. Allen, Zhandong Liu:
A Log-Linear Graphical Model for inferring genetic networks from high-throughput sequencing data. BIBM 2012: 1-6 - [c1]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical Models via Generalized Linear Models. NIPS 2012: 1367-1375
Coauthor Index
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