Tingting Zhu - RankMe

108 papers A* 7A 2C 2Journal 83Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A perspective on individualized treatment effects estimation from time-series health data. J. Am. Medical Informatics Assoc. Ghadeer O. Ghosheh, Moritz Gögl, Tingting Zhu
2026	J	`jnl`	Bridging data gaps of rare conditions in ICU: a multi-disease adaptation approach for clinical prediction. npj Digit. Medicine Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu
2026	J	`jnl`	DySurv: dynamic deep learning model for survival analysis with conditional variational inference. J. Am. Medical Informatics Assoc. Munib Mesinovic, Peter J. Watkinson, Tingting Zhu
2026	J	`jnl`	Real-World Classification of Student Stress and Fatigue Using Wearable PPG Recordings. IEEE Trans. Affect. Comput. Justin Laiti, Yu Liu, Pádraic J. Dunne, Elaine Byrne, Tingting Zhu
2026	J	`jnl`	Standing on the Shoulders of Giants: Rethinking EEG Foundation Model Pretraining via Multi-Teacher Distillation. CoRR Chenqi Li, Yu Liu, Shuo Zhang, Timothy Denison, Tingting Zhu
2026	J	`jnl`	The Taxonomies, Training, and Applications of Event Stream Modelling for Electronic Health Records. CoRR Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu
2025	A*	`conf`	AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion. AAAI Chenqi Li, Boyan Gao, Gabriel Davis Jones, Timothy Denison, Tingting Zhu
2025	J	`jnl`	Are Large Language Models Dynamic Treatment Planners? An In Silico Study from a Prior Knowledge Injection Angle. CoRR Zhiyao Luo, Tingting Zhu
2025	J	`jnl`	Benchmarking Large Language Models in Evidence-Based Medicine. IEEE J. Biomed. Health Informatics Jin Li, Yiyan Deng, Qi Sun, Junjie Zhu, Yu Tian, Jingsong Li, Tingting Zhu
2025	J	`jnl`	BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals. CoRR Chenqi Li, Yu Liu, Timothy Denison, Tingting Zhu
2025	J	`jnl`	Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction. CoRR Mingcheng Zhu, Yu Liu, Zhiyao Luo, Tingting Zhu
2025	J	`jnl`	Causal Graph Neural Networks for Healthcare. CoRR Munib Mesinovic, Max Buhlan, Tingting Zhu
2025	J	`jnl`	CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessment. CoRR Feng Rui, Zhiyao Luo, Wei Wang, Yuting Song, Yong Liu, Tingting Zhu, Jianqing Li, Xingyao Wang
2025	J	`jnl`	Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction. CoRR Tianyi Chen, Mingcheng Zhu, Zhiyao Luo, Tingting Zhu
2025	J	`jnl`	DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation. CoRR Munib Mesinovic, Soheila Molaei, Peter J. Watkinson, Tingting Zhu
2025	J	`jnl`	Multi-teacher self-distillation based on adaptive weighting and activation pattern for enhancing lightweight arrhythmia recognition. Inf. Fusion Zhongyu Wang, Caiyun Ma, Shuo Zhang, Minghui Zhao, Yu Liu, Lina Zhao, Tingting Zhu, Jianqing Li, Chengyu Liu
2025	A	`conf`	ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions. CIKM Zi Cai, Yu Liu, Zhiyao Luo, Tingting Zhu
2025	J	`jnl`	ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions. CoRR Zi Cai, Yu Liu, Zhiyao Luo, Tingting Zhu
2025	J	`jnl`	SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysis. CoRR Munib Mesinovic, Tingting Zhu
2025	—	`conf`	SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis. KDD (2) Yu Liu, Weiyao Tao, Tong Xia, Simon Knight, Tingting Zhu
2025	J	`jnl`	SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis. CoRR Yu Liu, Weiyao Tao, Tong Xia, Simon Knight, Tingting Zhu
2025	J	`jnl`	Uncertainty-Inspired Multi-Task Learning in Arbitrary Scenarios of ECG Monitoring. IEEE J. Biomed. Health Informatics Xingyao Wang, Hongxiang Gao, Caiyun Ma, Tingting Zhu, Feng Yang, Chengyu Liu, Huazhu Fu
2024	J	`jnl`	A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data. CoRR Ghadeer O. Ghosheh, Moritz Gögl, Tingting Zhu
2024	J	`jnl`	A Survey of Few-Shot Learning for Biomedical Time Series. CoRR Chenqi Li, Timothy Denison, Tingting Zhu
2024	J	`jnl`	A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records. ACM Comput. Surv. Ghadeer O. Ghosheh, Jin Li, Tingting Zhu
2024	J	`jnl`	AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion. CoRR Chenqi Li, Boyan Gao, Gabriel Davis Jones, Timothy Denison, Tingting Zhu
2024	—	`conf`	Are Time Series Foundation Models Ready for Vital Sign Forecasting in Healthcare? ML4H@NeurIPS Xiao Gu, Yu Liu, Zaineb Mohsin, Jonathan Bedford, Anshul Thakur, Peter J. Watkinson, Lei A. Clifton, Tingting Zhu, David A. Clifton
2024	J	`jnl`	AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification. IEEE Trans. Pattern Anal. Mach. Intell. Yanting Shen, Lei Lu, Tingting Zhu, Xinshao Wang, Lei A. Clifton, Zhengming Chen, Robert Clarke, David A. Clifton
2024	J	`jnl`	CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. J. Heal. Informatics Res. Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
2024	J	`jnl`	DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime. CoRR Zhiyao Luo, Mingcheng Zhu, Fenglin Liu, Jiali Li, Yangchen Pan, Jiandong Zhou, Tingting Zhu
2024	J	`jnl`	IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records. CoRR Ghadeer O. Ghosheh, Jin Li, Tingting Zhu
2024	J	`jnl`	Incremental Trainable Parameter Selection in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Tingting Zhu, David A. Clifton
2024	J	`jnl`	Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring. IEEE J. Biomed. Health Informatics Zhangdaihong Liu, Tingting Zhu, Lei Lu, Yuan-Ting Zhang, David A. Clifton
2024	A*	`conf`	Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination. ICML Zhiyao Luo, Yangchen Pan, Peter J. Watkinson, Tingting Zhu
2024	J	`jnl`	Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination. CoRR Zhiyao Luo, Yangchen Pan, Peter J. Watkinson, Tingting Zhu
2024	J	`jnl`	Student Loss: Towards the Probability Assumption in Inaccurate Supervision. IEEE Trans. Pattern Anal. Mach. Intell. Shuo Zhang, Jianqing Li, Hamido Fujita, Yu-Wen Li, Deng-Bao Wang, Tingting Zhu, Min-Ling Zhang, Chengyu Liu
2024	J	`jnl`	Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton
2024	J	`jnl`	Understanding Missingness in Time-series Electronic Health Records for Individualized Representation. CoRR Ghadeer O. Ghosheh, Jin Li, Tingting Zhu
2023	J	`jnl`	A medical multimodal large language model for future pandemics. npj Digit. Medicine Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei A. Clifton, David A. Clifton
2023	A	`conf`	Adversarial De-confounding in Individualised Treatment Effects Estimation. AISTATS Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2023	J	`jnl`	All models are local: time to replace external validation with recurrent local validation. CoRR Alexey Youssef, Michael J. Pencina, Anshul Thakur, Tingting Zhu, David A. Clifton, Nigam H. Shah
2023	J	`jnl`	Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention. CoRR Anshul Thakur, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang, David A. Clifton
2023	J	`jnl`	DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU. CoRR Munib Mesinovic, Peter J. Watkinson, Tingting Zhu
2023	J	`jnl`	DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks. Neural Networks Ghazaleh Niknam, Soheila Molaei, Hadi Zare, Shirui Pan, Mahdi Jalili, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities. CoRR Munib Mesinovic, Peter J. Watkinson, Tingting Zhu
2023	J	`jnl`	Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications. npj Digit. Medicine Jin Li, Benjamin J. Cairns, Jingsong Li, Tingting Zhu
2023	J	`jnl`	Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network. IEEE Trans. Biomed. Eng. Ping Lu, Chenyang Wang, Jannis Hagenah, Shadi Ghiasi, VITAL Consortium, Tingting Zhu, Louise Thwaites, David A. Clifton
2023	J	`jnl`	Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Is dataset condensation a silver bullet for healthcare data sharing? CoRR Yujiang Wang, Anshul Thakur, Mingzhi Dong, Pingchuan Ma, Stavros Petridis, Li Shang, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Learning personalized preference: A segmentation strategy under consumer sparse data. Expert Syst. Appl. Tingting Zhu, Yezheng Liu
2023	J	`jnl`	PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients. Trans. Mach. Learn. Res. Dani Kiyasseh, Tingting Zhu, David A. Clifton
2023	J	`jnl`	Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton
2023	J	`jnl`	XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients. CoRR Munib Mesinovic, Peter J. Watkinson, Tingting Zhu
2022	J	`jnl`	A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources. CoRR Ghadeer Ghosheh, Jin Li, Tingting Zhu
2022	J	`jnl`	Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
2022	J	`jnl`	Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing. Sensors Ping Lu, 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
2022	J	`jnl`	Identifying and modeling the dynamic evolution of niche preferences. Electron. Commer. Res. Appl. Tingting Zhu, Ye-Zheng Liu, Qifeng Tang, Jianming He
2022	A*	`conf`	Learning of Cluster-based Feature Importance for Electronic Health Record Time-series. ICML Henrique Aguiar, Mauro D. Santos, Peter J. Watkinson, Tingting Zhu
2022	—	`ed.`	Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 22 July 2022, Baltimore, Maryland, USA Healthcare AI and COVID-19 Workshop Peng Xu, Tingting Zhu, Pengkai Zhu, David A. Clifton, Danielle Belgrave, Yuanting Zhang
2022	J	`jnl`	Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries. Sensors Shadi Ghiasi, Tingting Zhu, Ping Lu, Jannis Hagenah, Phan Nguyen Quoc Khanh, Nguyen Van Hao, VITAL Consortium, Louise Thwaites, David A. Clifton
2022	A*	`conf`	SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. ICML Dani Kiyasseh, Tingting Zhu, David A. Clifton
2022	—	`conf`	Spectrum Estimation of Heart Rate Variability Using Low-rank Matrix Completion. BHI Lei Lu, Tingting Zhu, Yuan-Ting Zhang, David A. Clifton
2022	J	`jnl`	Topic discovery from short reviews based on data enhancement. Intell. Data Anal. Tingting Zhu, Ye-Zheng Liu, Jianshan Sun, Chunhua Sun
2021	A*	`conf`	CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients. ICML Dani Kiyasseh, Tingting Zhu, David A. Clifton
2021	A*	`conf`	CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age. NeurIPS Dani Kiyasseh, Tingting Zhu, David A. Clifton
2021	J	`jnl`	DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time. CoRR Girmaw Abebe Tadesse, Hamza A. Javed, Yong Liu, Jin Liu, Jiyan Chen, Komminist Weldemariam, Tingting Zhu
2021	J	`jnl`	DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time. Artif. Intell. Medicine Girmaw Abebe Tadesse, Hamza A. Javed, Komminist Weldemariam, Yong Liu, Jin Liu, Jiyan Chen, Tingting Zhu
2021	J	`jnl`	Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications. CoRR Jin Li, Benjamin J. Cairns, Jingsong Li, Tingting Zhu
2021	J	`jnl`	Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care. IEEE J. Biomed. Health Informatics Rasheed El-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton
2021	J	`jnl`	Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2021	C	`conf`	Prediction of monetary penalties for data protection cases in multiple languages. ICAIL Aaron Ceross, Tingting Zhu
2021	J	`jnl`	Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults. J. Am. Medical Informatics Assoc. 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, Zhengming Chen, Tingting Zhu
2021	J	`jnl`	Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning. CoRR Rasheed El-Bouri, Tingting Zhu, David A. Clifton
2020	—	`conf`	A Spectral-longitudinal Model for Detection of Heart Attack from 12-lead Electrocardiogram Waveforms. EMBC Girmaw Abebe Tadesse, Hamza A. Javed, Komminist Weldemariam, Tingting Zhu
2020	J	`jnl`	ALPS: Active Learning via Perturbations. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	CLOCS: Contrastive Learning of Cardiac Signals. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	CLOPS: Continual Learning of Physiological Signals. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	Deep Interpretable Early Warning System for the Detection of Clinical Deterioration. IEEE J. Biomed. Health Informatics Farah E. Shamout, Tingting Zhu, Pulkit Sharma, Peter J. Watkinson, David A. Clifton
2020	C	`conf`	Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction. PKAW Girmaw Abebe Tadesse, Komminist Weldemariam, Hamza A. Javed, Yong Liu, Jin Liu, Jiyan Chen, Tingting Zhu
2020	J	`jnl`	Multi-Modal Diagnosis of Infectious Diseases in the Developing World. IEEE J. Biomed. Health Informatics Girmaw Abebe Tadesse, Hamza A. Javed, Nhan Le Nguyen Thanh, Ha Thi Hai Duong, Le Van Tan, Louise Thwaites, David A. Clifton, Tingting Zhu
2020	J	`jnl`	PCPs: Patient Cardiac Prototypes. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	J	`jnl`	Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease. CoRR Henrique Aguiar, Mauro D. Santos, Peter J. Watkinson, Tingting Zhu
2020	J	`jnl`	PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. IEEE J. Biomed. Health Informatics Dani Kiyasseh, Girmaw Abebe Tadesse, Nhan Le Nguyen Thanh, Le Van Tan, Louise Thwaites, Tingting Zhu, David A. Clifton
2020	J	`jnl`	SoQal: Selective Oracle Questioning in Active Learning. CoRR Dani Kiyasseh, Tingting Zhu, David A. Clifton
2020	A*	`conf`	Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. ICML Rasheed El-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton
2020	J	`jnl`	Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location. CoRR Rasheed El-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton
2019	J	`jnl`	A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases. Entropy Jinle Xiong, Xueyu Liang, Tingting Zhu, Lina Zhao, Jianqing Li, Chengyu Liu
2019	—	`conf`	Cardiovascular disease diagnosis using cross-domain transfer learning. EMBC Girmaw Abebe Tadesse, Tingting Zhu, Yong Liu, Yingling Zhou, Jiyan Chen, Maoyi Tian, David A. Clifton
2019	J	`jnl`	Continuous-Valued Annotations Aggregation for Heart Rate Detection. IEEE Access Yuting Xie, Jianqing Li, Tingting Zhu, Chengyu Liu
2019	J	`jnl`	DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis. Bioinform. Yang Yang, Timothy M. Walker, A. Sarah Walker, Daniel J. Wilson, Timothy E. A Peto, Derrick W. Crook, Farah Shamout, CRyPTIC Consortium, Tingting Zhu, David A. Clifton
2019	J	`jnl`	Identifying social roles using heterogeneous features in online social networks. J. Assoc. Inf. Sci. Technol. Yezheng Liu, Fei Du, Jianshan Sun, Thushari P. Silva, Yuanchun Jiang, Tingting Zhu
2019	J	`jnl`	Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes. IEEE Access Tingting Zhu, Glen Wright Colopy, Glenn H. MacEwen, Katherine E. Niehaus, Yang Yang, Chris W. Pugh, David A. Clifton
2019	—	`conf`	Purchase Prediction Based on a Non-parametric Bayesian Method. HICSS Yezheng Liu, Tingting Zhu, Yuanchun Jiang
2019	J	`jnl`	Service matchmaking for Internet of Things based on probabilistic topic model. Future Gener. Comput. Syst. Yezheng Liu, Tingting Zhu, Yuanchun Jiang, Xiao Liu
2019	J	`jnl`	Severity Detection Tool for Patients with Infectious Disease. CoRR Girmaw Abebe Tadesse, Tingting Zhu, 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, Hamza A. Javed, Dani Kiyasseh, Le Van Tan, Louise Thwaites, David A. Clifton
2019	J	`jnl`	Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care. IEEE J. Biomed. Health Informatics Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton
2018	J	`jnl`	A crowdsourcing-based topic model for service matchmaking in Internet of Things. Future Gener. Comput. Syst. Yezheng Liu, Fei Du, Jianshan Sun, Yuanchun Jiang, Jianmin He, Tingting Zhu, Chunhua Sun
2018	—	`conf`	Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes. BHI Tingting Zhu, Glen Wright Colopy, Chris W. Pugh, David A. Clifton
2018	J	`jnl`	Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data. Bioinform. Yang Yang, Katherine E. Niehaus, Timothy M. Walker, Zamin Iqbal, A. Sarah Walker, Daniel J. Wilson, Tim E. A. Peto, Derrick W. Crook, E. Grace Smith, Tingting Zhu, David A. Clifton
2017	—	`conf`	Likelihood-based artefact detection in continuously-acquired patient vital signs. EMBC Glen Wright Colopy, Tingting Zhu, Lei A. Clifton, Stephen J. Roberts, David A. Clifton
2015	—	`conf`	Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram. EMBC Tingting Zhu, Marco A. F. Pimentel, Gari D. Clifford, David A. Clifton
2015	J	`jnl`	Fusing Continuous-valued Medical Labels using a Bayesian Model. CoRR Tingting Zhu, Nic Dunkley, Joachim Behar, David A. Clifton, Gari D. Clifford
2014	—	`conf`	A scalable mHealth system for noncommunicable disease management. GHTC Gari D. Clifford, Carlos Arteta, Tingting Zhu, Marco A. F. Pimentel, Mauro D. Santos, João S. Domingos, Mohammad Ali Maraci, Joachim Behar, Julien Oster
2014	J	`jnl`	Brain mitochondrial oxidative metabolism during and after cerebral hypoxia-ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy. NeuroImage Alan Bainbridge, Ilias Tachtsidis, S. D. Faulkner, David Price, Tingting Zhu, Esther Baer, K. D. Broad, D. L. Thomas, Ernest Cady, Nicola J. Robertson, Xavier Golay
2014	—	`conf`	CrowdLabel: A Crowdsourcing Platform for Electrophysiology. CinC Tingting Zhu, Joachim Behar, Tasos Papastylianou, Gari D. Clifford
2013	—	`conf`	Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation. CinC Tingting Zhu, Alistair E. W. Johnson, Joachim Behar, Gari D. Clifford
2013	—	`conf`	Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013. CinC Ikaro Silva, Joachim Behar, Reza Sameni, Tingting Zhu, Julien Oster, Gari D. Clifford, George B. Moody