Tingting Mu
17 papers · 2010–2026 · 11 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (40) 🌍 Conference Polyglot · Gold 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Full
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Renaissance Researcher
(7)
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Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(81)
Venues
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Research topics
Machine Learning
(11)
Optimization & Theory
(6)
Deep Learning
(5)
Core Methods
(5)
Learning Types
(5)
Artificial Intelligence
(3)
Computer Vision
(3)
Application Areas
(3)
Data Science & Analytics
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Applications · Data Science & Analytics
(2)
Applications · Natural Language Processing
(2)
Architectures
(2)
Core AI
(2)
Keywords
bias-variance decomposition
(2)
zero-shot learning
(1)
policy learning
(1)
feature learning
(1)
non-convex optimization
(1)
probabilistic modeling
(1)
spectral clustering
(1)
ensemble learning
(1)
text classification
(1)
transductive learning
(1)
noisy label learning
(1)
weakly supervised learning
(1)
supervised learning
(1)
image reconstruction
(1)
semantic segmentation
(1)
explainable ai
(1)
adversarial training
(1)
illumination estimation
(1)
speech analysis
(1)
dimensionality reduction
(1)
Papers
Evaluation and LLM-Guided Learning of ICD Coding Rationales
EACL 2026
Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex
CVPR 2026
4D CardioSynth: Synthesising Dynamic Virtual Heart Populations through Spatiotemporal Disentanglement
MICCAI 2025
Group-Agent Reinforcement Learning with Heterogeneous Agents
UAI 2025
Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
CVPR 2025
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation
AAAI 2024
A Unified Theory of Diversity in Ensemble Learning
JMLR 2023
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning
CVPR 2023
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
NeurIPS 2023
Understanding and Improving Ensemble Adversarial Defense
NeurIPS 2023
Bias-Variance Decompositions for Margin Losses
AISTATS 2022
Improved Imaging by Invex Regularizers with Global Optima Guarantees
NeurIPS 2022
Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features
Interspeech 2021
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks
NAACL 2019
Distributed Document and Phrase Co-embeddings for Descriptive Clustering
EACL 2017
Quantifying the Informativeness of Similarity Measurements
JMLR 2017
Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation
COLING 2010