Shanshan Wu
9 papers · 2016–2025 · 3 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Bronze
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Keyword Pioneer
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Trend Setter
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(54)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(6)
Mathematics & Optimization
(4)
Optimization
(4)
Artificial Intelligence
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Application Areas
(2)
Core AI
(2)
Generation
(2)
Learning Types
(2)
Computer Science
(1)
Architectures
(1)
Foundations
(1)
Keywords
submodular optimization
(1)
dimensionality reduction
(1)
compressed sensing
(1)
domain adaptation
(1)
principal component analysis
(1)
structure learning
(1)
parameter estimation
(1)
sparse logistic regression
(1)
collaborative filtering
(1)
sample complexity
(1)
ising model
(1)
low-rank approximation
(1)
privacy preserving
(1)
locality sensitive hashing
(1)
gradient descent
(1)
sparse approximation
(1)
spectral norm
(1)
single-pass algorithm
(1)
data summarization
(1)
model-agnostic meta-learning
(1)
Papers
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
ACL 2025
Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs
ICML 2025
Federated Reconstruction: Partially Local Federated Learning
NeurIPS 2021
Implicit Regularization and Convergence for Weight Normalization
NeurIPS 2020
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
ICML 2019
Learning Distributions Generated by One-Layer ReLU Networks
NeurIPS 2019
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
NeurIPS 2019
Leveraging Sparsity for Efficient Submodular Data Summarization
NeurIPS 2016
Single Pass PCA of Matrix Products
NeurIPS 2016