Zhiming Dai

According to our database, Zhiming Dai authored at least 30 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

EviAgent: Evidence-Driven Agent for Radiology Report Generation.

Tuoshi Qi, Shenshen Bu, Yingfei Xiang, Zhiming Dai

CoRR, March, 2026

Informal Embodied Auditing: Exploring Facial Emotion AI (FEAI) through Community Workshops.

Xingyu Li, Alexandra Teixeira Riggs, Zhiming Dai, Crystal Byrd Farmer, Kalia G. Morrison, Noura Howell

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

scE²TM: Toward Interpretable Single-Cell Embedding via Topic Modeling.

Hegang Chen, Yuyin Lu, Zhiming Dai, Fu Lee Wang, Qing Li, Yanghui Rao

CoRR, July, 2025

ACID: Improving Ambiguous Cell Type Annotation in Spatial Transcriptomics.

Yang Zhang, Zhipeng Zhou, Zhiming Dai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Augmenting Continual Learning of Diseases with LLM-Generated Visual Concepts.

Jiantao Tan, Peixian Ma, Zhiming Dai, Kanghao Chen, Ruixuan Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Detecting novel cell type in single-cell chromatin accessibility data via open-set domain adaptation.

Yuefan Lin, Zixiang Pan, Yuansong Zeng, Yuedong Yang, Zhiming Dai

Briefings Bioinform., September, 2024

Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge.

Hegang Chen, Yuyin Lu, Zhiming Dai, Yuedong Yang, Qing Li, Yanghui Rao

Briefings Bioinform., July, 2024

A Multiagent Meta-Based Task Offloading Strategy for Mobile-Edge Computing.

Weichao Ding, Fei Luo, Chunhua Gu, Zhiming Dai, Haifeng Lu

IEEE Trans. Cogn. Dev. Syst., February, 2024

Subgraph extraction and graph representation learning for single cell Hi-C imputation and clustering.

Jiahao Zheng, Yuedong Yang, Zhiming Dai

Briefings Bioinform., January, 2024

Insights into Secondary Mutational Genes in Knockout Strains.

Yuefan Lin, Zhiming Dai

Proceedings of the 2024 16th International Conference on Bioinformatics and Biomedical Technology, 2024

Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation.

Shenshen Bu, Taiji Li, Yuedong Yang, Zhiming Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dynamic Knowledge Prompt for Chest X-ray Report Generation.

Shenshen Bu, Yujie Song, Taiji Li, Zhiming Dai

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on- and off-target activities.

Guishan Zhang, Ye Luo, Xianhua Dai, Zhiming Dai

Briefings Bioinform., September, 2023

Transcription Factor-target Relationships Complicated by Knockout Analysis.

Zhiming Dai

Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023

CSIFNet: Deep multimodal network based on cellular spatial information fusion for survival prediction.

Siqi Xiao, Zhiming Dai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Enhancing Medical Report Generation in Multi-Slice Fusion Scenarios.

Shenshen Bu, Taiji Li, Zhiming Dai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2020

SANPolyA: a deep learning method for identifying Poly(A) signals.

Haitao Yu, Zhiming Dai

Bioinform., 2020

2017

pgRNAFinder: a web-based tool to design distance independent paired-gRNA.

Yuanyan Xiong, Xiaowei Xie, Yanzhi Wang, Wenbin Ma, Puping Liang, Songyang Zhou, Zhiming Dai

Bioinform., 2017

2016

CCSI: a database providing chromatin-chromatin spatial interaction information.

Xiaowei Xie, Wenbin Ma, Songyang Zhou, Zhenhua Luo, Junfeng Huang, Zhiming Dai, Yuanyan Xiong

Database J. Biol. Databases Curation, 2016

2015

TeloPIN: a database of telomeric proteins interaction network in mammalian cells.

Zhenhua Luo, Zhiming Dai, Xiaowei Xie, Xuyang Feng, Dan Liu, Songyang Zhou, Yuanyan Xiong

Database J. Biol. Databases Curation, 2015

2013

BGDB: a database of bivalent genes.

Qingyan Li, Shuabin Lian, Zhiming Dai, Qian Xiang, Xianhua Dai

Database J. Biol. Databases Curation, 2013

2012

Antisense transcription is coupled to nucleosome occupancy in sense promoters.

Zhiming Dai, Xianhua Dai

Bioinform., 2012

2011

Gene Expression Divergence is Coupled to Evolution of DNA Structure in Coding Regions.

Zhiming Dai, Xianhua Dai

PLoS Comput. Biol., 2011

Genome-wide DNA sequence polymorphisms facilitate nucleosome positioning in yeast.

Zhiming Dai, Xianhua Dai, Qian Xiang

Bioinform., 2011

2010

A simulation model for nucleosome distribution in the yeast genome based on integrated cross-platform positioning datasets.

Jihua Feng, Xianhua Dai, Zhiming Dai, Qian Xiang, Jiang Wang, Yangyang Deng, Caisheng He

Math. Comput. Model., 2010

Insights into the combinatorial effects of histone modifications in yeast using association rule mining.

Jiang Wang, Xianhua Dai, Qian Xiang, Yangyang Deng, Jihua Feng, Zhiming Dai, Caisheng He

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009

Nucleosomal Context of Binding Sites Influences Transcription Factor Binding Affinity and Gene Regulation.

Zhiming Dai, Xianhua Dai, Qian Xiang, Jihua Feng

Genom. Proteom. Bioinform., 2009

Transcriptional interaction-assisted identification of dynamic nucleosome positioning.

Zhiming Dai, Xianhua Dai, Qian Xiang, Jihua Feng, Yangyang Deng, Jiang Wang, Caisheng He

BMC Bioinform., 2009

2008

Missing value imputation for microarray gene expression data using histone acetylation information.

Qian Xiang, Xianhua Dai, Yangyang Deng, Caisheng He, Jiang Wang, Jihua Feng, Zhiming Dai

BMC Bioinform., 2008

2006

Identifying Transcription Factor Binding Sites Based on a Neural Network.

Zhiming Dai, Xianhua Dai, Jiang Wang

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006