Ruochen Wang
19 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (20) π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (7) π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(7)
π€
Dynamic Duo
(19)
β
The Questioner
(3)
β‘
Prolific Year
(6)
π
Century Club
(19)
π₯
Unstoppable
(5)
Conferences
ICLR (7)
ICML (4)
EMNLP (3)
NIPS (2)
CVPR (1)
ECCV (1)
ICCV (1)
Top co-authors
Research topics
Keywords
synthetic datum
(2)
large language model
(2)
prompt engineering
(2)
image classification
(1)
visual perception
(1)
hyperparameter optimization
(1)
iterative optimization
(1)
data augmentation
(1)
in-context learning
(1)
communication efficiency
(1)
neural architecture search
(1)
visual reasoning
(1)
neural network optimization
(1)
distribution matching
(1)
learning to rank
(1)
mathematical reasoning
(1)
adversarial attack
(1)
tree search
(1)
benchmark evaluation
(1)
differential privacy
(1)
Papers
Is Your Multimodal Language Model Oversensitive to Safe Queries?
ICLR 2025
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
ICLR 2025
Large Language Models are Interpretable Learners
ICLR 2025
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
EMNLP 2025
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers
EMNLP 2024
Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?
EMNLP 2024
When and How do negative prompts take effect?
ECCV 2024
On Discrete Prompt Optimization for Diffusion Models
ICML 2024
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
ICML 2024
Ameliorate Spurious Correlations in Dataset Condensation
ICML 2024
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
CVPR 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
ICML 2023
DC-BENCH: Dataset Condensation Benchmark
NIPS 2022
Efficient Non-Parametric Optimizer Search for Diverse Tasks
NIPS 2022
Generalizing Few-Shot NAS with Gradient Matching
ICLR 2022
Learning to Schedule Learning rate with Graph Neural Networks
ICLR 2022
Rethinking Architecture Selection in Differentiable NAS
ICLR 2021
DrNAS: Dirichlet Neural Architecture Search
ICLR 2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
ICCV 2021