Sungbin Lim

Statistics Korea — South Korea

Mathematics · Physical Sciences

30h-index3.0kcitations150works1.02yr avg
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Research Topics

Fractional Differential Equations Solutions(31), Complex Systems and Time Series Analysis(26), Stochastic processes and financial applications(20), Cosmology and Gravitation Theories(15), Advanced Thermodynamics and Statistical Mechanics(14)

Publications150 total

Analytic and Stochastic Approach to Quantum Advantages in Ground State and Quantum State Preparation Problems
ArXiv.org·2025Open Access
Probability-Flow ODE in Infinite-Dimensional Function Spaces
arXiv (Cornell University)·2025Open Access
CAST: Cross Attention based multimodal fusion of Structure and Text for materials property prediction
arXiv (Cornell University)·2025· 1 citedOpen Access
On Incorporating Prior Knowledge Extracted From Large Language Models Into Causal Discovery
IEEE Access·2025· 1 citedOpen Access
Hierarchical Decomposition Framework for Steiner Tree Packing Problem
2025Open Access
Scalable Multi-Task Transfer Learning for Molecular Property Prediction
arXiv (Cornell University)·2024Open Access
Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability
Computer Methods and Programs in Biomedicine·2024· 5 cited
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
arXiv (Cornell University)·2024· 1 citedOpen Access
Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization
Scientific Reports·2024· 3 citedOpen Access
Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images
2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
2024
Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?
arXiv (Cornell University)·2023· 1 citedOpen Access
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs
arXiv (Cornell University)·2023Open Access
Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution
Scientific Reports·2023· 13 citedOpen Access
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
arXiv (Cornell University)·2023Open Access
A deep reinforcement learning approach for solving the Traveling Salesman Problem with Drone
Transportation Research Part C Emerging Technologies·2023· 93 cited
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
2023· 4 citedOpen Access
Minimax Optimal Bandits for Heavy Tail Rewards
IEEE Transactions on Neural Networks and Learning Systems·2022· 1 citedOpen Access
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
arXiv (Cornell University)·2021· 7 citedOpen Access
Editorial to Special Issue on Fractional Quantum Theory
Modern Physics Letters A·2021
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Frequent Co-authors

Ming Li(11), Lee-Peng Teo(8), S. V. Muniandy(7), Chai Hok Eab(6), Ildoo Kim(3), Chiheon Kim(3), Sungwoong Kim(3), Ildoo Kim(3), Kyungjae Lee(3), J. Klafter(2), Ralf Metzler(2), Taesup Kim(2), Shengyong Chen(2), Kyeong-Hun Kim(2), V.M. Sithi(2), Sungyub Kim(2), Sungjoon Choi(2), Songhwai Oh(2), Aigerim Bogyrbayeva(1), Taehyun Yoon(1)