Zhu, Tingting

16 publications

ICLR 2026 BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer Across Biosignals Chenqi Li, Yu Liu, Timothy Denison, Tingting Zhu

AAAI 2025 AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion Chenqi Li, Boyan Gao, Gabriel Davis Jones, Timothy Denison, Tingting Zhu

ICCV 2025 Cross-Subject Mind Decoding from Inaccurate Representations Yangyang Xu, Bangzhen Liu, Wenqi Shao, Yong Du, Shengfeng He, Tingting Zhu

NeurIPS 2025 DoseSurv: Predicting Personalized Survival Outcomes Under Continuous-Valued Treatments Moritz Gögl, Yu Liu, Christopher Yau, Peter Watkinson, Tingting Zhu

NeurIPSW 2024 Best of Both Worlds: Harmonizing LLM Capabilities in Decision-Making and Question-Answering for Treatment Regimes Hongxuan Liu, Zhiyao Luo, Tingting Zhu

ICML 2024 Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination Zhiyao Luo, Yangchen Pan, Peter Watkinson, Tingting Zhu

AISTATS 2023 Adversarial De-Confounding in Individualised Treatment Effects Estimation Vinod K. Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton

NeurIPSW 2023 DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU Munib Mesinovic, Peter Watkinson, Tingting Zhu

TMLR 2023 PCPs: Patient Cardiac Prototypes to Probe AI-Based Medical Diagnoses, Distill Datasets, and Retrieve Patients Dani Kiyasseh, Tingting Zhu, David A. Clifton

ICLRW 2023 Variational Modelling of Temporal Ehrs for Phenotypic Clustering Henrique Aguiar, Mauro Santos, Peter Watkinson, Tingting Zhu

ICLRW 2023 XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality and Heart Attack in the ICU Munib Mesinovic, Tingting Zhu

ICML 2022 Learning of Cluster-Based Feature Importance for Electronic Health Record Time-Series Henrique Aguiar, Mauro Santos, Peter Watkinson, Tingting Zhu

ICML 2022 SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals Dani Kiyasseh, Tingting Zhu, David A Clifton

ICML 2021 CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients Dani Kiyasseh, Tingting Zhu, David A Clifton

NeurIPS 2021 CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age Dani Kiyasseh, Tingting Zhu, David Clifton

ICML 2020 Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location Rasheed El-Bouri, David Eyre, Peter Watkinson, Tingting Zhu, David Clifton