Tingting Zhu
11 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Machine Learning
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Healthcare & Medicine
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Clinical
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cardiac signal
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contrastive learning
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semi-supervised learning
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bayesian inference
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machine learning
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curriculum learning
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self-supervised learning
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image reconstruction
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semantic representation
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supervised contrastive learning
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class imbalance
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brain decoding
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bayesian active learning
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Papers
Analysis of Motivations in Machine Learning Textbooks
AAAI 2026
Why Not Hyperparameter-Friendly Optimisation? A Monotonic Adaptive Norm Rescaling Approach For Long-Tailed Recognition
CVPR 2026
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
AAAI 2025
Cross-Subject Mind Decoding from Inaccurate Representations
ICCV 2025
Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination
ICML 2024
Adversarial De-confounding in Individualised Treatment Effects Estimation
AISTATS 2023
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
ICML 2022
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
ICML 2022
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
ICML 2021
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
NeurIPS 2021
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
ICML 2020