Rongrong Wang
13 papers · 2019–2025 · 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
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(73)
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Artificial Intelligence
(5)
Optimization & Theory Β· Machine Learning
(5)
Core AI
(4)
Computer Vision
(3)
Learning Types
(3)
Models
(3)
Optimization & Theory Β· Deep Learning
(3)
Natural Language Processing
(2)
Processing
(2)
Resources & Methods
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Keywords
large language model
(3)
pre-trained language model
(2)
diffusion model
(2)
manifold learning
(1)
convergence analysis
(1)
image reconstruction
(1)
prompt engineering
(1)
decentralized optimization
(1)
distributed optimization
(1)
neural network optimization
(1)
ai safety
(1)
image denoising
(1)
safety alignment
(1)
low-rank approximation
(1)
gradient descent
(1)
manifold denoising
(1)
matrix completion
(1)
nonlinear manifold
(1)
sparse optimization
(1)
instruction following
(1)
Papers
A Survey to Recent Progress Towards Understanding In-Context Learning
NAACL 2025
Differentiable Quadratic Optimization For the Maximum Independent Set Problem
ICML 2025
Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability
ICLR 2025
On the Convergence of Moral Self-Correction in Large Language Models
IJCNLP 2025
SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems
ICML 2025
Smaller Large Language Models Can Do Moral Self-Correction
NAACL 2025
Image Reconstruction Via Autoencoding Sequential Deep Image Prior
NeurIPS 2024
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization
ICML 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
ACL 2024
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
ICLR 2023
PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent
EMNLP 2023
Linear Convergent Decentralized Optimization with Compression
ICLR 2021
Manifold denoising by Nonlinear Robust Principal Component Analysis
NeurIPS 2019