Tingting Zhu
10 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
🗃️
Keyword Collector
(60)
🔥
Unstoppable
(6)
💎
Century Club
(10)
Conferences
ICML (5)
AAAI (2)
AISTATS (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
cardiac signal
(3)
contrastive learning
(2)
representation learning
(1)
adversarial learning
(1)
semi-supervised learning
(1)
bayesian inference
(1)
self-supervised learning
(1)
diffusion model
(1)
image reconstruction
(1)
semantic representation
(1)
supervised contrastive learning
(1)
class imbalance
(1)
brain decoding
(1)
machine learning
(1)
bayesian active learning
(1)
curriculum learning
(1)
consistency regularization
(1)
downstream task
(1)
physiological signal
(1)
active learning
(1)
Papers
Analysis of Motivations in Machine Learning Textbooks
AAAI 2026
Cross-Subject Mind Decoding from Inaccurate Representations
ICCV 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
AAAI 2025
Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination
ICML 2024
Adversarial De-confounding in Individualised Treatment Effects Estimation
AISTATS 2023
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
ICML 2022
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series
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
NIPS 2021
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
ICML 2020