Nan Wu
8 papers · 2020–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (25) 🌍 Conference Polyglot · Silver 🚀 Conference Pioneer
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(5)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Clinical
(2)
Domain-Specific
(2)
Optimization
(2)
Keywords
deep neural network
(2)
image classification
(2)
representation learning
(1)
semantic segmentation
(1)
manifold learning
(1)
embedding learning
(1)
weakly supervised learning
(1)
graph optimization
(1)
machine translation
(1)
multimodal learning
(1)
tensor decomposition
(1)
asymptotic analysis
(1)
locally linear embedding
(1)
multi-view learning
(1)
saliency map
(1)
medical imaging
(1)
riemannian manifold
(1)
unsupervised learning
(1)
language model
(1)
combinatorial optimization
(1)
Papers
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion
AAAI 2025
SwiLTra-Bench: The Swiss Legal Translation Benchmark
ACL 2025
Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework
MICCAI 2024
When Locally Linear Embedding Hits Boundary
JMLR 2023
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
ICML 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
NeurIPS 2022
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
MIDL 2021
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening
MIDL 2020