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Books and Theses
- 2019
[b1]Caihua Liu:
Empirical Investigation of the Factors Influencing Data Completeness in Electronic Medical Records. University of Technology Sydney, Australia, 2019
Journal Articles
- 2024
- [j22]Zhenghua Xu
, Jiaqi Tang, Chang Qi, Dan Yao, Caihua Liu, Yuefu Zhan, Thomas Lukasiewicz:
Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. Comput. Biol. Medicine 168: 107744 (2024) - 2023
- [j21]Tao Xu, Yuanyuan Cui, Xinyu He, Caihua Liu:
A latent topic-aware network for dense video captioning. IET Comput. Vis. 17(7): 795-803 (2023) - [j20]Caihua Liu, Guochao Peng, Shufeng Kong, Chaowang Lan, Haoliang Zhu:
Critical information quality dimensions of conversational agents for healthcare. Inf. Res. 28(4): 18-42 (2023) - [j19]Caihua Liu, Amir Talaei-Khoei, Veda C. Storey, Guochao Peng:
A Review of the State of the Art of Data Quality in Healthcare. J. Glob. Inf. Manag. 31(1): 1-18 (2023) - [j18]Alan T. Yang, Caihua Liu, Amir Talaei-Khoei, Guochao Peng:
Valuing Your Patient's Opinion: Online Patient Reviews and Power Distance. J. Glob. Inf. Manag. 31(1): 1-24 (2023) - [j17]Caihua Liu, Didar Zowghi:
Citizen involvement in digital transformation: a systematic review and a framework. Online Inf. Rev. 47(4): 644-660 (2023) - 2022
- [j16]Caihua Liu, Yifan Chen, Xinyu He, Tao Xu:
A Scale Aggregation and Spatial-Aware Network for Multi-View Crowd Counting. IEEE Access 10: 108604-108613 (2022) - [j15]Bingqian Zhang, Guochao Peng, Caihua Liu, Zuopeng Justin Zhang, Sajjad M. Jasimuddin:
Adaptation behaviour in using one-stop smart governance apps: an exploratory study between digital immigrants and digital natives. Electron. Mark. 32(4): 1971-1991 (2022) - [j14]Wenting Chen, Caihua Liu, Fei Xing, Guochao Peng, Xi Yang:
Establishment of a maturity model to assess the development of industrial AI in smart manufacturing. J. Enterp. Inf. Manag. 35(3): 701-728 (2022) - 2021
- [j13]Caihua Liu, Muneera Bano, Didar Zowghi, Matthew Kearney:
Analysing user reviews of inquiry-based learning apps in science education. Comput. Educ. 164: 104119 (2021) - [j12]Caihua Liu, Didar Zowghi, Matthew Kearney, Muneera Bano:
Inquiry-based mobile learning in secondary school science education: A systematic review. J. Comput. Assist. Learn. 37(1): 1-23 (2021) - [j11]Xia Feng, Zhiyi Hu, Caihua Liu, W. H. Ip, Huiying Chen:
Text-Image Retrieval With Salient Features. J. Database Manag. 32(4): 1-13 (2021) - [j10]Guochao Peng, Si Chen, Xi Chen, Caihua Liu:
An Investigation to the Industry 4.0 Readiness of Manufacturing Enterprises: The Ongoing Problems of Information Systems Strategic Misalignment. J. Glob. Inf. Manag. 29(6): 1-20 (2021) - [j9]Caihua Liu, Guochao Peng, Yongxin Kong, Shuyang Li, Si Chen:
Data Quality Affecting Big Data Analytics in Smart Factories: Research Themes, Issues and Methods. Symmetry 13(8): 1440 (2021) - 2020
- [j8]Caihua Liu, Yinong Duan, Jiahao Du, Tao Xu:
An Enhanced Scale Robust Network for Crowd Counting. IEEE Access 8: 48352-48360 (2020) - [j7]Caihua Liu, Patrick Nitschke, Susan P. Williams, Didar Zowghi:
Data quality and the Internet of Things. Computing 102(2): 573-599 (2020) - [j6]Caihua Liu, Didar Zowghi, Amir Talaei-Khoei:
An empirical study of the antecedents of data completeness in electronic medical records. Int. J. Inf. Manag. 50: 155-170 (2020) - [j5]Caihua Liu, Didar Zowghi, Amir Talaei-Khoei, Zhi Jin:
Empirical study of Data Completeness in Electronic Health Records in China. Pac. Asia J. Assoc. Inf. Syst. 12(2): 4 (2020) - 2019
- [j4]Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang:
Dropout non-negative matrix factorization. Knowl. Inf. Syst. 60(2): 781-806 (2019) - 2017
- [j3]Jie Liu, Caihua Liu, Yalou Huang:
Multi-granularity sequence labeling model for acronym expansion identification. Inf. Sci. 378: 462-474 (2017) - [j2]Caihua Liu, Amir Talaei-Khoei, Didar Zowghi, Jay Daniel:
Data Completeness in Healthcare: A Literature Survey. Pac. Asia J. Assoc. Inf. Syst. 9(2): 5 (2017) - 2016
- [j1]Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang:
Convolutional neural random fields for action recognition. Pattern Recognit. 59: 213-224 (2016)
Conference and Workshop Papers
- 2024
- [c26]Caihua Liu, Hui Zhou, Lishen Su, Yaosheng Huang, Guochao Peng, Dayou Wu, Shufeng Kong:
Learning to Effectively Identify Reliable Content in Health Social Platforms with Large Language Models. HCI (36) 2024: 55-67 - [c25]Chaowang Lan, Guochao Peng, Hui Zhou, Lishen Su, Yaosheng Huang, Dayou Wu, Caihua Liu:
Factors Influencing Data Completeness in Electronic Records: A Case Study in a Chinese Manufacturing Enterprise. HCI (35) 2024: 221-240 - 2023
- [c24]Alan T. Yang, Amir Talaei-Khoei, Caihua Liu:
Cross-cultural Analysis of Online Patient Reviews from the Caregiver Perspective. AMCIS 2023 - [c23]Caihua Liu, Guochao Alex Peng, Chaowang Lan, Shufeng Kong:
Explore Data Quality Challenges Based on Data Structure of Electronic Health Records. HCI (5) 2023: 236-247 - [c22]Caihua Liu, Didar Zowghi, Guochao Peng:
A Taxonomy of Factors Influencing Data Quality. HCI (26) 2023: 328-347 - [c21]Rui Huang, Qingyi Zhao, Ruofei Wang, Caihua Liu, Sihua Gao, Yuxiang Zhang, Wei Fan:
ScaleMix: Intra- And Inter-Layer Multiscale Feature Combination for Change Detection. ICASSP 2023: 1-5 - [c20]Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang:
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. IJCAI 2023: 2581-2588 - [c19]Shufeng Kong, Caihua Liu, Carla P. Gomes:
IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. STRL@IJCAI 2023 - [c18]Caihua Liu, Hongyang Shi, Xinyu He:
FGPTQ-ViT: Fine-Grained Post-training Quantization for Vision Transformers. PRCV (9) 2023: 79-90 - [c17]Caihua Liu, Xu Qu, Xiaoyi Ma, Runze Li, Xu Li, Sichu Chen:
Salient Feature Enhanced Multi-object Tracking with Soft-Sparse Attention in Transformer. PRCV (12) 2023: 392-404 - [c16]Caihua Liu, Jiaxian Guo, Sichu Chen, Xia Feng:
Disentangled Attribute Features Vision Transformer for Pedestrian Attribute Recognition. PRCV (6) 2023: 497-509 - 2022
- [c15]Caihua Liu, Xiaoyi Ma, Xinyu He, Tao Xu:
Hierarchical Multimodal Attention Network Based on Semantically Textual Guidance for Video Captioning. ICONIP (3) 2022: 158-169 - [c14]Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An:
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. NeurIPS 2022 - [c13]Xia Feng, Jiaxian Guo, Caihua Liu:
Latent Dynamic Token Vision Transformer for Pedestrian Attribute Recognition. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1071-1078 - 2021
- [c12]Bingqian Zhang, Caihua Liu, Yongxin Kong, Yuwen Wang, Guochao Peng:
Users Adaptation and Infusion of Smart City App. HCI (21) 2021: 68-81 - [c11]Caihua Liu, Bingqian Zhang, Guochao Peng:
A Systematic Review of Information Quality of Artificial Intelligence Based Conversational Agents in Healthcare. HCI (21) 2021: 331-347 - [c10]Xia Feng, Xinyu He, Rui Huang, Caihua Liu:
A Fully Dynamic Context Guided Reasoning and Reconsidering Network for Video Captioning. PRICAI (1) 2021: 169-182 - 2020
- [c9]Caihua Liu, Didar Zowghi, Amir Talaei-Khoei:
Empirical Evaluation of the Influence of EMR Alignment to Care Processes on Data Completeness. HICSS 2020: 1-10 - [c8]Min Lu, Xueyong Li, Caihua Liu:
Context Visual Information-based Deliberation Network for Video Captioning. ICPR 2020: 9812-9818 - 2019
- [c7]Tao Xu, Yinong Duan, Jiahao Du, Caihua Liu:
Crowd Counting via Conditional Generative Adversarial Networks. PRCV (2) 2019: 453-462 - 2018
- [c6]Caihua Liu, Amir Talaei-Khoei, Didar Zowghi:
Theoretical Support for Enhancing Data Quality: Application in Electronic Medical Records. AMCIS 2018 - [c5]Caihua Liu, Didar Zowghi, Amir Talaei-Khoei, Jay Daniel:
Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development. HICSS 2018: 1-10 - 2016
- [c4]Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang:
Dropout Non-negative Matrix Factorization for Independent Feature Learning. NLPCC/ICCPOL 2016: 201-212 - 2015
- [c3]Jie Liu, Caihua Liu, Qemghua Hu, Yalou Huang:
Fine-grained acronym expansion identification using latent-state neural structured prediction model. ICMLC 2015: 259-264 - 2013
- [c2]Caihua Liu, Jie Liu, Fang Yu, Yalou Huang, Jimeng Chen:
Handwritten character recognition with sequential convolutional neural network. ICMLC 2013: 291-296 - 2011
- [c1]Caihua Liu, Jiajun Chen, Xiaofeng Zhang, Jie Liu, Yalou Huang:
TOC Structure Extraction from OCR-ed Books. INEX 2011: 98-108
Informal and Other Publications
- 2023
- [i2]Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang:
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. CoRR abs/2312.06443 (2023) - 2022
- [i1]Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An:
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. CoRR abs/2209.12000 (2022)
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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