Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013. - Ikaro Silva; Joachim Behar; Reza Sameni; Tingting Zhu 001; Julien Oster; Gari D. Clifford; George B. Moody (CinC, 2013)

Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation. - Tingting Zhu 001; Alistair E. W. Johnson; Joachim Behar; Gari D. Clifford (CinC, 2013)

CrowdLabel: A Crowdsourcing Platform for Electrophysiology. - Tingting Zhu 001; Joachim Behar; Tasos Papastylianou; Gari D. Clifford (CinC, 2014)

A scalable mHealth system for noncommunicable disease management. - Gari D. Clifford; Carlos Arteta; Tingting Zhu 001; Marco A. F. Pimentel; Mauro D. Santos; João S. Domingos; Mohammad Ali Maraci; Joachim Behar; Julien Oster (GHTC, 2014)

Brain mitochondrial oxidative metabolism during and after cerebral hypoxia-ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy. - Alan Bainbridge; Ilias Tachtsidis; S. D. Faulkner; David Price; Tingting Zhu 001; Esther Baer; K. D. Broad; D. L. Thomas; Ernest Cady; Nicola J. Robertson; Xavier Golay (NeuroImage, 2014)

Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram. - Tingting Zhu 001; Marco A. F. Pimentel; Gari D. Clifford; David A. Clifton (EMBC, 2015)

Fusing Continuous-valued Medical Labels using a Bayesian Model. - Tingting Zhu 001; Nic Dunkley; Joachim Behar; David A. Clifton; Gari D. Clifford (CoRR, 2015)

Likelihood-based artefact detection in continuously-acquired patient vital signs. - Glen Wright Colopy; Tingting Zhu 001; Lei A. Clifton; Stephen J. Roberts; David A. Clifton (EMBC, 2017)

Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes. - Tingting Zhu 001; Glen Wright Colopy; Chris W. Pugh; David A. Clifton (BHI, 2018)

Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data. - Yang Yang 125; Katherine E. Niehaus; Timothy M. Walker; Zamin Iqbal; A. Sarah Walker; Daniel J. Wilson 001; Tim E. A. Peto; Derrick W. Crook; E. Grace Smith; Tingting Zhu 001; David A. Clifton (Bioinform., 2018)

A crowdsourcing-based topic model for service matchmaking in Internet of Things. - Yezheng Liu 001; Fei Du; Jianshan Sun; Yuanchun Jiang; Jianmin He; Tingting Zhu 001; Chunhua Sun (Future Gener. Comput. Syst., 2018)

Cardiovascular disease diagnosis using cross-domain transfer learning. - Girmaw Abebe Tadesse; Tingting Zhu 001; Yong Liu; Yingling Zhou; Jiyan Chen; Maoyi Tian; David A. Clifton (EMBC, 2019)

Purchase Prediction Based on a Non-parametric Bayesian Method. - Yezheng Liu 001; Tingting Zhu 001; Yuanchun Jiang (HICSS, 2019)

Continuous-Valued Annotations Aggregation for Heart Rate Detection. - Yuting Xie; Jianqing Li 002; Tingting Zhu 001; Chengyu Liu 001 (IEEE Access, 2019)

Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes. - Tingting Zhu 001; Glen Wright Colopy; Glenn H. MacEwen; Katherine E. Niehaus; Yang Yang 125; Chris W. Pugh; David A. Clifton (IEEE Access, 2019)

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis. - Yang Yang 125; Timothy M. Walker; A. Sarah Walker; Daniel J. Wilson 001; Timothy E. A Peto; Derrick W. Crook; Farah Shamout; CRyPTIC Consortium; Tingting Zhu 001; David A. Clifton (Bioinform., 2019)

Severity Detection Tool for Patients with Infectious Disease. - Girmaw Abebe Tadesse; Tingting Zhu 001; Nhan Le Nguyen Thanh; Nguyen Thanh Hung; Ha Thi Hai Duong; Truong Huu Khanh; Pham Van Quang; Duc Duong Tran; LamMinh Yen; H. Rogier Van Doorn; Nguyen Van Hao; John Prince; et al. (CoRR, 2019)

A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases. - Jinle Xiong; Xueyu Liang; Tingting Zhu 001; Lina Zhao; Jianqing Li 002; Chengyu Liu 001 (Entropy, 2019)

Service matchmaking for Internet of Things based on probabilistic topic model. - Yezheng Liu 001; Tingting Zhu 001; Yuanchun Jiang; Xiao Liu 004 (Future Gener. Comput. Syst., 2019)

Identifying social roles using heterogeneous features in online social networks. - Yezheng Liu 001; Fei Du; Jianshan Sun; Thushari P. Silva; Yuanchun Jiang; Tingting Zhu 001 (J. Assoc. Inf. Sci. Technol., 2019)

Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care. - Tingting Zhu 001; Marco A. F. Pimentel; Gari D. Clifford; David A. Clifton (IEEE J. Biomed. Health Informatics, 2019)

A Spectral-longitudinal Model for Detection of Heart Attack from 12-lead Electrocardiogram Waveforms. - Girmaw Abebe Tadesse; Hamza A. Javed; Komminist Weldemariam; Tingting Zhu 001 (EMBC, 2020)

Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. - Rasheed el-Bouri; David W. Eyre; Peter J. Watkinson; Tingting Zhu 001; David A. Clifton (ICML, 2020)

Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction. - Girmaw Abebe Tadesse; Komminist Weldemariam; Hamza A. Javed; Yong Liu; Jin Liu; Jiyan Chen; Tingting Zhu 001 (PKAW, 2020)

ALPS: Active Learning via Perturbations. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

CLOPS: Continual Learning of Physiological Signals. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

SoQal: Selective Oracle Questioning in Active Learning. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

CLOCS: Contrastive Learning of Cardiac Signals. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease. - Henrique Aguiar; Mauro D. Santos; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2020)

PCPs: Patient Cardiac Prototypes. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2020)

PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. - Dani Kiyasseh; Girmaw Abebe Tadesse; Nhan Le Nguyen Thanh; Le Van Tan; Louise Thwaites; Tingting Zhu 001; David A. Clifton (IEEE J. Biomed. Health Informatics, 2020)

Deep Interpretable Early Warning System for the Detection of Clinical Deterioration. - Farah E. Shamout; Tingting Zhu 001; Pulkit Sharma; Peter J. Watkinson; David A. Clifton (IEEE J. Biomed. Health Informatics, 2020)

Multi-Modal Diagnosis of Infectious Diseases in the Developing World. - Girmaw Abebe Tadesse; Hamza A. Javed; Nhan Le Nguyen Thanh; Ha Thi Hai Duong; Le Van Tan; Louise Thwaites; David A. Clifton; Tingting Zhu 001 (IEEE J. Biomed. Health Informatics, 2020)

Prediction of monetary penalties for data protection cases in multiple languages. - Aaron Ceross; Tingting Zhu 001 (ICAIL, 2021)

CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (ICML, 2021)

CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (NeurIPS, 2021)

DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time. - Girmaw Abebe Tadesse; Hamza A. Javed; Komminist Weldemariam; Yong Liu; Jin Liu; Jiyan Chen; Tingting Zhu 001 (Artif. Intell. Medicine, 2021)

Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (CoRR, 2021)

Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning. - Rasheed el-Bouri; Tingting Zhu 001; David A. Clifton (CoRR, 2021)

Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications. - Jin Li; Benjamin J. Cairns; Jingsong Li; Tingting Zhu 001 (CoRR, 2021)

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults. - Matthew Chun; Robert Clarke; Benjamin J. Cairns; David A. Clifton; Derrick Bennett; Yiping Chen; Yu Guo; Pei Pei; Jun Lv; Canqing Yu; Ling Yang; Liming Li; et al. (J. Am. Medical Informatics Assoc., 2021)

Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care. - Rasheed el-Bouri; David W. Eyre; Peter J. Watkinson; Tingting Zhu 001; David A. Clifton (IEEE J. Biomed. Health Informatics, 2021)

Spectrum Estimation of Heart Rate Variability Using Low-rank Matrix Completion. - Lei Lu; Tingting Zhu 001; Yuan-Ting Zhang; David A. Clifton (BHI, 2022)

Learning of Cluster-based Feature Importance for Electronic Health Record Time-series. - Henrique Aguiar; Mauro D. Santos; Peter J. Watkinson; Tingting Zhu 001 (ICML, 2022)

SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (ICML, 2022)

A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources. - Ghadeer Ghosheh; Jin Li; Tingting Zhu 001 (CoRR, 2022)

Identifying and modeling the dynamic evolution of niche preferences. - Tingting Zhu 001; Ye-Zheng Liu 001; Qifeng Tang; Jianming He (Electron. Commer. Res. Appl., 2022)

Topic discovery from short reviews based on data enhancement. - Tingting Zhu 001; Ye-Zheng Liu 001; Jianshan Sun; Chunhua Sun (Intell. Data Anal., 2022)

Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries. - Shadi Ghiasi; Tingting Zhu 001; Ping Lu 003; Jannis Hagenah; Phan Nguyen Quoc Khanh; Nguyen Van Hao; VITAL Consortium; Louise Thwaites; David A. Clifton (Sensors, 2022)

Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing. - Ping Lu 003; Shadi Ghiasi; Jannis Hagenah; Ho Bich Hai; Nguyen Van Hao; Phan Nguyen Quoc Khanh; Le Dinh Van Khoa; VITAL Consortium; Louise Thwaites; David A. Clifton; Tingting Zhu 001 (Sensors, 2022)

Adversarial De-confounding in Individualised Treatment Effects Estimation. - Vinod Kumar Chauhan; Soheila Molaei; Marzia Hoque Tania; Anshul Thakur; Tingting Zhu 001; David A. Clifton (AISTATS, 2023)

Synthesizing Mixed-type Electronic Health Records using Diffusion Models. - Taha Ceritli; Ghadeer O. Ghosheh; Vinod Kumar Chauhan; Tingting Zhu 001; Andrew P. Creagh; David A. Clifton (CoRR, 2023)

All models are local: time to replace external validation with recurrent local validation. - Alexey Youssef; Michael J. Pencina; Anshul Thakur; Tingting Zhu 001; David A. Clifton; Nigam H. Shah (CoRR, 2023)

Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention. - Anshul Thakur; Tingting Zhu 001; Vinayak Abrol; Jacob Armstrong; Yujiang Wang 001; David A. Clifton (CoRR, 2023)

Is dataset condensation a silver bullet for healthcare data sharing? - Yujiang Wang 001; Anshul Thakur; Mingzhi Dong; Pingchuan Ma 001; Stavros Petridis; Li Shang; Tingting Zhu 001; David A. Clifton (CoRR, 2023)

XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients. - Munib Mesinovic; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2023)

Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities. - Munib Mesinovic; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2023)

DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU. - Munib Mesinovic; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2023)

Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications. - Jin Li; Benjamin J. Cairns; Jingsong Li 001; Tingting Zhu 001 (npj Digit. Medicine, 2023)

A medical multimodal large language model for future pandemics. - Fenglin Liu; Tingting Zhu 001; Xian Wu 001; Bang Yang; Chenyu You; Chenyang Wang; Lei Lu; Zhangdaihong Liu; Yefeng Zheng 001; Xu Sun 001; Yang Yang 125; Lei A. Clifton; et al. (npj Digit. Medicine, 2023)

PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients. - Dani Kiyasseh; Tingting Zhu 001; David A. Clifton (Trans. Mach. Learn. Res., 2023)

Learning personalized preference: A segmentation strategy under consumer sparse data. - Tingting Zhu 001; Yezheng Liu 001 (Expert Syst. Appl., 2023)

Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network. - Ping Lu 003; Chenyang Wang; Jannis Hagenah; Shadi Ghiasi; VITAL Consortium; Tingting Zhu 001; Louise Thwaites; David A. Clifton (IEEE Trans. Biomed. Eng., 2023)

Improving Diagnostics with Deep Forest Applied to Electronic Health Records. - Atieh Khodadadi; Nima Ghanbari Bousejin; Soheila Molaei; Vinod Kumar Chauhan; Tingting Zhu 001; David A. Clifton (Sensors, 2023)

DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. - Ghazaleh Niknam; Soheila Molaei; Hadi Zare 001; Shirui Pan; Mahdi Jalili; Tingting Zhu 001; David A. Clifton (Neural Networks, 2023)

Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination. - Zhiyao Luo; Yangchen Pan; Peter J. Watkinson; Tingting Zhu 001 (ICML, 2024)

Are Time Series Foundation Models Ready for Vital Sign Forecasting in Healthcare? - Xiao Gu 003; Yu Liu; Zaineb Mohsin; Jonathan Bedford; Anshul Thakur; Peter J. Watkinson; Lei A. Clifton; Tingting Zhu 001; David A. Clifton (ML4H@NeurIPS, 2024)

IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records. - Ghadeer O. Ghosheh; Jin Li; Tingting Zhu 001 (CoRR, 2024)

A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data. - Ghadeer O. Ghosheh; Moritz Gögl; Tingting Zhu 001 (CoRR, 2024)

Understanding Missingness in Time-series Electronic Health Records for Individualized Representation. - Ghadeer O. Ghosheh; Jin Li; Tingting Zhu 001 (CoRR, 2024)

Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination. - Zhiyao Luo; Yangchen Pan; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2024)

DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime. - Zhiyao Luo; Mingcheng Zhu 001; Fenglin Liu; Jiali Li; Yangchen Pan; Jiandong Zhou 003; Tingting Zhu 001 (CoRR, 2024)

Temporal dynamics unleashed: Elevating variational graph attention. - Soheila Molaei; Ghazaleh Niknam; Ghadeer O. Ghosheh; Vinod Kumar Chauhan; Hadi Zare 001; Tingting Zhu 001; Shirui Pan; David A. Clifton (Knowl. Based Syst., 2024)

Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring. - Zhangdaihong Liu; Tingting Zhu 001; Lei Lu; Yuan-Ting Zhang; David A. Clifton (IEEE J. Biomed. Health Informatics, 2024)

Incremental Trainable Parameter Selection in Deep Neural Networks. - Anshul Thakur; Vinayak Abrol; Pulkit Sharma; Tingting Zhu 001; David A. Clifton (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records. - Ghadeer O. Ghosheh; Jin Li; Tingting Zhu 001 (ACM Comput. Surv., 2024)

Student Loss: Towards the Probability Assumption in Inaccurate Supervision. - Shuo Zhang 030; Jianqing Li 002; Hamido Fujita; Yu-Wen Li 002; Deng-Bao Wang; Tingting Zhu 001; Min-Ling Zhang; Chengyu Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. - Soheila Molaei; Nima Ghanbari Bousejin; Ghadeer O. Ghosheh; Anshul Thakur; Vinod Kumar Chauhan; Tingting Zhu 001; David A. Clifton (J. Heal. Informatics Res., 2024)

AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification. - Yanting Shen; Lei Lu; Tingting Zhu 001; Xinshao Wang; Lei A. Clifton; Zhengming Chen; Robert Clarke; David A. Clifton (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Multi-teacher self-distillation based on adaptive weighting and activation pattern for enhancing lightweight arrhythmia recognition. - Zhongyu Wang; Caiyun Ma; Shuo Zhang 030; Minghui Zhao; Yu Liu; Lina Zhao; Tingting Zhu 001; Jianqing Li 002; Chengyu Liu 001 (Inf. Fusion, 2025)

DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation. - Munib Mesinovic; Soheila Molaei; Peter J. Watkinson; Tingting Zhu 001 (CoRR, 2025)

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis. - Yu Liu; Weiyao Tao; Tong Xia; Simon Knight 005; Tingting Zhu 001 (CoRR, 2025)

Uncertainty-Inspired Multi-Task Learning in Arbitrary Scenarios of ECG Monitoring. - Xingyao Wang 001; Hongxiang Gao; Caiyun Ma; Tingting Zhu 001; Feng Yang; Chengyu Liu 001; Huazhu Fu (IEEE J. Biomed. Health Informatics, 2025)

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction. - Mingcheng Zhu 001; Yu Liu; Zhiyao Luo; Tingting Zhu 001 (CoRR, 2025)

CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessment. - Feng Rui; Zhiyao Luo; Wei Wang 217; Yuting Song; Yong Liu; Tingting Zhu 001; Jianqing Li 002; Xingyao Wang 001 (CoRR, 2025)

Are Large Language Models Dynamic Treatment Planners? An In Silico Study from a Prior Knowledge Injection Angle. - Zhiyao Luo; Tingting Zhu 001 (CoRR, 2025)