Shanshan Wu
9 papers · 2016–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π Conference Polyglot (3) π Academic Marathon (9) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (25)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
NIPS (6)
ICML (2)
ACL (1)
Top co-authors
Keywords
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)
locality sensitive hashing
(1)
gradient descent
(1)
sparse approximation
(1)
spectral norm
(1)
data summarization
(1)
low rank approximation
(1)
distribution learning
(1)
linear convergence
(1)
markov random field
(1)
submodular optimization
(1)
Papers
Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs
ICML 2025
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
ACL 2025
Federated Reconstruction: Partially Local Federated Learning
NIPS 2021
Implicit Regularization and Convergence for Weight Normalization
NIPS 2020
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
NIPS 2019
Learning Distributions Generated by One-Layer ReLU Networks
NIPS 2019
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
ICML 2019
Single Pass PCA of Matrix Products
NIPS 2016
Leveraging Sparsity for Efficient Submodular Data Summarization
NIPS 2016