Jialin Song
9 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π Cross-Pollinator (13) π Renaissance Researcher (6) π Interdisciplinary Bridge π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(6)
π
Academic Marathon
(6)
π
Conference Pioneer
β
The Questioner
Conferences
ICML (3)
NIPS (2)
AISTATS (1)
EMNLP (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
combinatorial optimization
(2)
gaussian process
(2)
bayesian optimization
(2)
regret bound
(2)
imitation learning
(1)
unsupervised pretraining
(1)
sequential decision making
(1)
in-context learning
(1)
policy learning
(1)
visual reasoning
(1)
out-of-distribution generalization
(1)
adaptive sampling
(1)
implicit visual reasoning
(1)
mutual information
(1)
high-dimensional optimization
(1)
region of interest
(1)
comic strip
(1)
hyperparameter tuning
(1)
implicit narrative
(1)
physics-informed neural network
(1)
Papers
Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity
ICML 2025
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs
ICML 2025
Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip?
EMNLP 2025
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
NIPS 2024
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
ICML 2023
Learning to Make Decisions via Submodular Regularization
ICLR 2021
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
NIPS 2020
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
AISTATS 2019
Co-training for Policy Learning
UAI 2019