TOC Structure Extraction from OCR-ed Books. - Caihua Liu; Jiajun Chen; Xiaofeng Zhang; Jie Liu 007; Yalou Huang (INEX, 2011)

Handwritten character recognition with sequential convolutional neural network. - Caihua Liu; Jie Liu 007; Fang Yu; Yalou Huang; Jimeng Chen (ICMLC, 2013)

Fine-grained acronym expansion identification using latent-state neural structured prediction model. - Jie Liu 007; Caihua Liu; Qemghua Hu; Yalou Huang (ICMLC, 2015)

Dropout Non-negative Matrix Factorization for Independent Feature Learning. - Zhicheng He 001; Jie Liu 007; Caihua Liu; Yuan Wang; Airu Yin; Yalou Huang (NLPCC/ICCPOL, 2016)

Convolutional neural random fields for action recognition. - Caihua Liu; Jie Liu 007; Zhicheng He 001; Yujia Zhai; Qinghua Hu; Yalou Huang (Pattern Recognit., 2016)

Multi-granularity sequence labeling model for acronym expansion identification. - Jie Liu 007; Caihua Liu; Yalou Huang (Inf. Sci., 2017)

Data Completeness in Healthcare: A Literature Survey. - Caihua Liu; Amir Talaei-Khoei; Didar Zowghi; Jay Daniel (Pac. Asia J. Assoc. Inf. Syst., 2017)

Theoretical Support for Enhancing Data Quality: Application in Electronic Medical Records. - Caihua Liu; Amir Talaei-Khoei; Didar Zowghi (AMCIS, 2018)

Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development. - Caihua Liu; Didar Zowghi; Amir Talaei-Khoei; Jay Daniel (HICSS, 2018)

Crowd Counting via Conditional Generative Adversarial Networks. - Tao Xu; Yinong Duan; Jiahao Du; Caihua Liu (PRCV (2), 2019)

Dropout non-negative matrix factorization. - Zhicheng He 001; Jie Liu 007; Caihua Liu; Yuan Wang; Airu Yin; Yalou Huang (Knowl. Inf. Syst., 2019)

Empirical Investigation of the Factors Influencing Data Completeness in Electronic Medical Records - Caihua Liu (2019)

Empirical Evaluation of the Influence of EMR Alignment to Care Processes on Data Completeness. - Caihua Liu; Didar Zowghi; Amir Talaei-Khoei (HICSS, 2020)

Context Visual Information-based Deliberation Network for Video Captioning. - Min Lu; Xueyong Li; Caihua Liu (ICPR, 2020)

An Enhanced Scale Robust Network for Crowd Counting. - Caihua Liu; Yinong Duan; Jiahao Du; Tao Xu (IEEE Access, 2020)

Data quality and the Internet of Things. - Caihua Liu; Patrick Nitschke; Susan P. Williams; Didar Zowghi (Computing, 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)

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)

A Systematic Review of Information Quality of Artificial Intelligence Based Conversational Agents in Healthcare. - Caihua Liu; Bingqian Zhang; Guochao Peng (HCI (21), 2021)

Users Adaptation and Infusion of Smart City App. - Bingqian Zhang; Caihua Liu; Yongxin Kong; Yuwen Wang; Guochao Peng (HCI (21), 2021)

A Fully Dynamic Context Guided Reasoning and Reconsidering Network for Video Captioning. - Xia Feng; Xinyu He 002; Rui Huang; Caihua Liu (PRICAI (1), 2021)

Analysing user reviews of inquiry-based learning apps in science education. - Caihua Liu; Muneera Bano; Didar Zowghi; Matthew Kearney (Comput. Educ., 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)

Text-Image Retrieval With Salient Features. - Xia Feng; Zhiyi Hu; Caihua Liu; W. H. Ip; Huiying Chen (J. Database Manag., 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)

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)

Hierarchical Multimodal Attention Network Based on Semantically Textual Guidance for Video Captioning. - Caihua Liu; Xiaoyi Ma; Xinyu He 002; Tao Xu (ICONIP (3), 2022)

Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. - Yanchen Deng; Shufeng Kong; Caihua Liu; Bo An 001 (NeurIPS, 2022)

Latent Dynamic Token Vision Transformer for Pedestrian Attribute Recognition. - Xia Feng; Jiaxian Guo; Caihua Liu (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A Scale Aggregation and Spatial-Aware Network for Multi-View Crowd Counting. - Caihua Liu; Yifan Chen; Xinyu He 002; Tao Xu (IEEE Access, 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)

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., 2022)

Cross-cultural Analysis of Online Patient Reviews from the Caregiver Perspective. - Alan T. Yang; Amir Talaei-Khoei; Caihua Liu (AMCIS, 2023)

Explore Data Quality Challenges Based on Data Structure of Electronic Health Records. - Caihua Liu; Guochao Alex Peng; Chaowang Lan; Shufeng Kong (HCI (5), 2023)

A Taxonomy of Factors Influencing Data Quality. - Caihua Liu; Didar Zowghi; Guochao Peng (HCI (26), 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 (ICASSP, 2023)

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. - Hao Cheng 014; Shufeng Kong; Yanchen Deng; Caihua Liu; Xiaohu Wu; Bo An 001; Chongjun Wang (IJCAI, 2023)

IPGPT: Solving Integer Programming Problems with Sequence to Contrastive Multi-Label Learning. - Shufeng Kong; Caihua Liu; Carla P. Gomes (STRL@IJCAI, 2023)

Disentangled Attribute Features Vision Transformer for Pedestrian Attribute Recognition. - Caihua Liu; Jiaxian Guo; Sichu Chen; Xia Feng (PRCV (6), 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 (PRCV (12), 2023)

FGPTQ-ViT: Fine-Grained Post-training Quantization for Vision Transformers. - Caihua Liu; Hongyang Shi; Xinyu He 002 (PRCV (9), 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)

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)

Citizen involvement in digital transformation: a systematic review and a framework. - Caihua Liu; Didar Zowghi (Online Inf. Rev., 2023)

A latent topic-aware network for dense video captioning. - Tao Xu; Yuanyuan Cui; Xinyu He 002; Caihua Liu (IET Comput. Vis., 2023)

Critical information quality dimensions of conversational agents for healthcare. - Caihua Liu; Guochao Peng; Shufeng Kong; Chaowang Lan; Haoliang Zhu (Inf. Res., 2023)

Factors Influencing Data Completeness in Electronic Records: A Case Study in a Chinese Manufacturing Enterprise. - Chaowang Lan; Guochao Peng; Hui Zhou; Lishen Su; Yaosheng Huang; Dayou Wu; Caihua Liu (HCI (35), 2024)

Learning to Effectively Identify Reliable Content in Health Social Platforms with Large Language Models. - Caihua Liu; Hui Zhou; Lishen Su; Yaosheng Huang; Guochao Peng; Dayou Wu; Shufeng Kong (HCI (36), 2024)

Causal Inference-Based Feature Selection Method for Identifying Alzheimer's Disease Biomarker. - Jingxin Wu; Zhao Liu; Xiaolong Zhou; Yuchen Huang; Caihua Liu; Chaowang Lan (ICAI (1), 2024)

ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning. - Shufeng Kong; Caihua Liu; Carla Gomes 001 (UAI, 2024)

Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. - Zhenghua Xu 001; Jiaqi Tang 013; Chang Qi; Dan Yao; Caihua Liu; Yuefu Zhan; Thomas Lukasiewicz (Comput. Biol. Medicine, 2024)

Capturing Rich Behavior Representations: A Dynamic Action Semantic-Aware Graph Transformer for Video Captioning. - Caihua Liu; Xu Li; Wenjing Xue; Wei Tang; Xia Feng (ICASSP, 2025)

MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine. - Shufeng Kong; Xingru Yang; Yuanyuan Wei 011; Zijie Wang; Hao Tang; Jiuqi Qin; Shuting Lan; Yingheng Wang; Junwen Bai; Zhuangbin Chen; Zibin Zheng; Caihua Liu; et al. (CoRR, 2025)