Nan Wu
8 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (27) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Academic Marathon (5)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(9)
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
MIDL (2)
AAAI (1)
ACL (1)
ICML (1)
JMLR (1)
MICCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
deep neural network
(2)
image classification
(2)
representation learning
(1)
semantic segmentation
(1)
manifold learning
(1)
embedding learning
(1)
machine translation
(1)
graph optimization
(1)
multi-modal learning
(1)
tensor decomposition
(1)
asymptotic analysis
(1)
locally linear embedding
(1)
multi-view learning
(1)
weakly-supervised learning
(1)
saliency map
(1)
medical imaging
(1)
riemannian manifold
(1)
unsupervised learning
(1)
language model
(1)
combinatorial optimization
(1)
Papers
SwiLTra-Bench: The Swiss Legal Translation Benchmark
ACL 2025
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion
AAAI 2025
Automated Robust Muscle Segmentation in Multi-level Contexts using a Probabilistic Inference Framework
MICCAI 2024
When Locally Linear Embedding Hits Boundary
JMLR 2023
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
NIPS 2022
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
ICML 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