Caihua Liu

According to our database, Caihua Liu authored at least 47 papers between 2011 and 2024.

Collaborative distances:

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

2024

Cross-domain attention-guided generative data augmentation for medical image analysis with limited data.

Zhenghua Xu, Jiaqi Tang, Chang Qi, Dan Yao, Caihua Liu, Yuefu Zhan, Thomas Lukasiewicz

Comput. Biol. Medicine, January, 2024

2023

Critical information quality dimensions of conversational agents for healthcare.

Caihua Liu, Guochao Peng, Shufeng Kong, Chaowang Lan, Haoliang Zhu

Inf. Res., December, 2023

A latent topic-aware network for dense video captioning.

Tao Xu, Yuanyuan Cui, Xinyu He, Caihua Liu

IET Comput. Vis., October, 2023

Citizen involvement in digital transformation: a systematic review and a framework.

Caihua Liu, Didar Zowghi

Online Inf. Rev., 2023

Valuing Your Patient's Opinion: Online Patient Reviews and Power Distance.

Alan T. Yang, Caihua Liu, Amir Talaei-Khoei, Guochao Peng

J. Glob. Inf. Manag., 2023

A Review of the State of the Art of Data Quality in Healthcare.

Caihua Liu, Amir Talaei-Khoei, Veda C. Storey, Guochao Peng

J. Glob. Inf. Manag., 2023

FGPTQ-ViT: Fine-Grained Post-training Quantization for Vision Transformers.

Caihua Liu, Hongyang Shi, Xinyu He

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Salient Feature Enhanced Multi-object Tracking with Soft-Sparse Attention in Transformer.

Caihua Liu, Xu Qu, Xiaoyi Ma, Runze Li, Xu Li, Sichu Chen

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Disentangled Attribute Features Vision Transformer for Pedestrian Attribute Recognition.

Caihua Liu, Jiaxian Guo, Sichu Chen, Xia Feng

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning.

Shufeng Kong, Caihua Liu, Carla P. Gomes

Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation.

Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

ScaleMix: Intra- And Inter-Layer Multiscale Feature Combination for Change Detection.

Rui Huang, Qingyi Zhao, Ruofei Wang, Caihua Liu, Sihua Gao, Yuxiang Zhang, Wei Fan

Proceedings of the IEEE International Conference on Acoustics, 2023

A Taxonomy of Factors Influencing Data Quality.

Caihua Liu, Didar Zowghi, Guochao Peng

Proceedings of the Distributed, Ambient and Pervasive Interactions, 2023

Explore Data Quality Challenges Based on Data Structure of Electronic Health Records.

Caihua Liu, Guochao Alex Peng, Chaowang Lan, Shufeng Kong

Proceedings of the Human Interface and the Management of Information, 2023

Cross-cultural Analysis of Online Patient Reviews from the Caregiver Perspective.

Alan T. Yang, Amir Talaei-Khoei, Caihua Liu

Proceedings of the 29th Americas Conference on Information Systems, 2023

2022

Adaptation behaviour in using one-stop smart governance apps: an exploratory study between digital immigrants and digital natives.

Bingqian Zhang, Guochao Peng, Caihua Liu, Zuopeng Justin Zhang, Sajjad M. Jasimuddin

Electron. Mark., December, 2022

Establishment of a maturity model to assess the development of industrial AI in smart manufacturing.

Wenting Chen, Caihua Liu, Fei Xing, Guochao Peng, Xi Yang

J. Enterp. Inf. Manag., 2022

A Scale Aggregation and Spatial-Aware Network for Multi-View Crowd Counting.

Caihua Liu, Yifan Chen, Xinyu He, Tao Xu

IEEE Access, 2022

Latent Dynamic Token Vision Transformer for Pedestrian Attribute Recognition.

Xia Feng, Jiaxian Guo, Caihua Liu

Proceedings of the IEEE Smartworld, 2022

Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems.

Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hierarchical Multimodal Attention Network Based on Semantically Textual Guidance for Video Captioning.

Caihua Liu, Xiaoyi Ma, Xinyu He, Tao Xu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Data Quality Affecting Big Data Analytics in Smart Factories: Research Themes, Issues and Methods.

Caihua Liu, Guochao Peng, Yongxin Kong, Shuyang Li, Si Chen

Symmetry, 2021

An Investigation to the Industry 4.0 Readiness of Manufacturing Enterprises: The Ongoing Problems of Information Systems Strategic Misalignment.

Guochao Peng, Si Chen, Xi Chen, Caihua Liu

J. Glob. Inf. Manag., 2021

Text-Image Retrieval With Salient Features.

Xia Feng, Zhiyi Hu, Caihua Liu, W. H. Ip, Huiying Chen

J. Database Manag., 2021

Inquiry-based mobile learning in secondary school science education: A systematic review.

Caihua Liu, Didar Zowghi, Matthew Kearney, Muneera Bano

J. Comput. Assist. Learn., 2021

Analysing user reviews of inquiry-based learning apps in science education.

Caihua Liu, Muneera Bano, Didar Zowghi, Matthew Kearney

Comput. Educ., 2021

A Fully Dynamic Context Guided Reasoning and Reconsidering Network for Video Captioning.

Xia Feng, Xinyu He, Rui Huang, Caihua Liu

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Users Adaptation and Infusion of Smart City App.

Bingqian Zhang, Caihua Liu, Yongxin Kong, Yuwen Wang, Guochao Peng

Proceedings of the Distributed, Ambient and Pervasive Interactions, 2021

A Systematic Review of Information Quality of Artificial Intelligence Based Conversational Agents in Healthcare.

Caihua Liu, Bingqian Zhang, Guochao Peng

Proceedings of the Distributed, Ambient and Pervasive Interactions, 2021

2020

Empirical study of Data Completeness in Electronic Health Records in China.

Caihua Liu, Didar Zowghi, Amir Talaei-Khoei, Zhi Jin

Pac. Asia J. Assoc. Inf. Syst., 2020

An empirical study of the antecedents of data completeness in electronic medical records.

Caihua Liu, Didar Zowghi, Amir Talaei-Khoei

Int. J. Inf. Manag., 2020

Data quality and the Internet of Things.

Caihua Liu, Patrick Nitschke, Susan P. Williams, Didar Zowghi

Computing, 2020

An Enhanced Scale Robust Network for Crowd Counting.

Caihua Liu, Yinong Duan, Jiahao Du, Tao Xu

IEEE Access, 2020

Context Visual Information-based Deliberation Network for Video Captioning.

Min Lu, Xueyong Li, Caihua Liu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Empirical Evaluation of the Influence of EMR Alignment to Care Processes on Data Completeness.

Caihua Liu, Didar Zowghi, Amir Talaei-Khoei

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

Empirical Investigation of the Factors Influencing Data Completeness in Electronic Medical Records

Caihua Liu

PhD thesis, 2019

Dropout non-negative matrix factorization.

Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang

Knowl. Inf. Syst., 2019

Crowd Counting via Conditional Generative Adversarial Networks.

Tao Xu, Yinong Duan, Jiahao Du, Caihua Liu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

2018

Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development.

Caihua Liu, Didar Zowghi, Amir Talaei-Khoei, Jay Daniel

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Theoretical Support for Enhancing Data Quality: Application in Electronic Medical Records.

Caihua Liu, Amir Talaei-Khoei, Didar Zowghi

Proceedings of the 24th Americas Conference on Information Systems, 2018

2017

Data Completeness in Healthcare: A Literature Survey.

Caihua Liu, Amir Talaei-Khoei, Didar Zowghi, Jay Daniel

Pac. Asia J. Assoc. Inf. Syst., 2017

Multi-granularity sequence labeling model for acronym expansion identification.

Jie Liu, Caihua Liu, Yalou Huang

Inf. Sci., 2017

2016

Convolutional neural random fields for action recognition.

Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang

Pattern Recognit., 2016

Dropout Non-negative Matrix Factorization for Independent Feature Learning.

Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

2015

Fine-grained acronym expansion identification using latent-state neural structured prediction model.

Jie Liu, Caihua Liu, Qemghua Hu, Yalou Huang

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2013

Handwritten character recognition with sequential convolutional neural network.

Caihua Liu, Jie Liu, Fang Yu, Yalou Huang, Jimeng Chen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2011

TOC Structure Extraction from OCR-ed Books.

Caihua Liu, Jiajun Chen, Xiaofeng Zhang, Jie Liu, Yalou Huang

Proceedings of the Focused Retrieval of Content and Structure, 2011