Sungbin Lim - RankMe

41 papers A* 9A 1C 1Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	ORCA: ORchestrating Causal Agent. CHI Extended Abstracts Joanie Hayoun Chung, Sumin Lee, Sungbin Lim
2026	J	`jnl`	RetroReasoner: A Reasoning LLM for Strategic Retrosynthesis Prediction. CoRR Hanbum Ko, Chanhui Lee, Ye Rin Kim, Rodrigo Hormazabal, Sehui Han, Sungbin Lim, Sungwoong Kim
2025	J	`jnl`	CAST: Cross Attention based multimodal fusion of Structure and Text for materials property prediction. CoRR Jaewan Lee, Changyoung Park, Hongjun Yang, Sungbin Lim, Sehui Han
2025	C	`conf`	Hierarchical Decomposition Framework for Steiner Tree Packing Problem. ICORES Hanbum Ko, Minu Kim, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Youngjoon Park, Woohyung Lim, Honglak Lee, Moontae Lee, Kanghoon Lee, Sungbin Lim, Sungryull Sohn
2025	J	`jnl`	Mol-LLM: Generalist Molecular LLM with Improved Graph Utilization. CoRR Chanhui Lee, Yuheon Song, Yongjun Jeong, Hanbum Ko, Rodrigo Hormazabal, Sehui Han, Kyunghoon Bae, Sungbin Lim, Sungwoong Kim
2025	J	`jnl`	ORCA: ORchestrating Causal Agent. CoRR Joanie Hayoun Chung, Chaemyung Lim, Sumin Lee, Songseong Kim, Sungbin Lim
2025	J	`jnl`	On Incorporating Prior Knowledge Extracted From Large Language Models Into Causal Discovery. IEEE Access Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Yoonseok Yeom, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee
2025	J	`jnl`	Probability-Flow ODE in Infinite-Dimensional Function Spaces. CoRR Kunwoo Na, Junghyun Lee, Se-Young Yun, Sungbin Lim
2025	J	`jnl`	Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery. CoRR Jiyeon Kang, Songseong Kim, Chanhui Lee, Doyeong Hwang, Joanie Hayoun Chung, Yunkyung Ko, Sumin Lee, Sungwoong Kim, Sungbin Lim
2024	J	`jnl`	Differentiation of glioblastoma from solitary brain metastasis using deep ensembles: Empirical estimation of uncertainty for clinical reliability. Comput. Methods Programs Biomed. Yae Won Park, Sujeong Eom, Seungwoo Kim, Sungbin Lim, Ji Eun Park, Ho Sung Kim, Seng Chan You, Sungsoo Ahn, Seung-Koo Lee
2024	J	`jnl`	Minimax Optimal Bandits for Heavy Tail Rewards. IEEE Trans. Neural Networks Learn. Syst. Kyungjae Lee, Sungbin Lim
2024	J	`jnl`	Scalable Multi-Task Transfer Learning for Molecular Property Prediction. CoRR Chanhui Lee, Dae-Woong Jeong, Sung Moon Ko, Sumin Lee, Hyunseung Kim, Soorin Yim, Sehui Han, Sungwoong Kim, Sungbin Lim
2024	A	`conf`	Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images. WACV Wonwoo Cho, Dongmin Choi, Hyesu Lim, Jinho Choi, Saemee Choi, Hyunseok Min, Sungbin Lim, Jaegul Choo
2024	A*	`conf`	Stochastic Optimal Control for Diffusion Bridges in Function Spaces. NeurIPS Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee
2024	J	`jnl`	Stochastic Optimal Control for Diffusion Bridges in Function Spaces. CoRR Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee
2023	—	`conf`	Bag of Tricks for In-Distribution Calibration of Pretrained Transformers. EACL (Findings) Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim
2023	J	`jnl`	Bag of Tricks for In-Distribution Calibration of Pretrained Transformers. CoRR Jaeyoung Kim, Dongbin Na, Sungchul Choi, Sungbin Lim
2023	J	`jnl`	Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms? CoRR Chanhui Lee, Juhyeon Kim, Yongjun Jeong, Juhyun Lyu, Junghee Kim, Sangmin Lee, Sangjun Han, Hyeokjun Choe, Soyeon Park, Woohyung Lim, Sungbin Lim, Sanghack Lee
2023	A*	`conf`	Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces. NeurIPS Sungbin Lim, Eun-Bi Yoon, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi
2023	A*	`conf`	Score-based Generative Models with Lévy Processes. NeurIPS Eun-Bi Yoon, Keehun Park, Sungwoong Kim, Sungbin Lim
2023	J	`jnl`	Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs. CoRR Taehyun Yoon, Jinwon Choi, Hyokun Yun, Sungbin Lim
2021	J	`jnl`	A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone. CoRR Aigerim Bogyrbayeva, Taehyun Yoon, Hanbum Ko, Sungbin Lim, Hyokun Yun, Changhyun Kwon
2021	A*	`conf`	Neural Bootstrapper. NeurIPS Minsuk Shin, Hyungjoo Cho, Hyun-seok Min, Sungbin Lim
2020	J	`jnl`	AutoCLINT: The Winning Method in AutoCV Challenge 2019. CoRR Woonhyuk Baek, Ildoo Kim, Sungwoong Kim, Sungbin Lim
2020	J	`jnl`	Evaluation of conditional treatment effects of adjuvant treatments on patients with synovial sarcoma using Bayesian subgroup analysis. BMC Medical Informatics Decis. Mak. Sung Wook Seo, Jisoo Kim, Jihye Son, Sungbin Lim
2020	—	`conf`	Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots. Robotics: Science and Systems Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Mineui Hong, Jae In Kim, Yong-Lae Park, Songhwai Oh
2020	A*	`conf`	Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds. AAAI Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2020	J	`jnl`	Neural Bootstrapper. CoRR Minsuk Shin, Hyungjoo Cho, Sungbin Lim
2020	A*	`conf`	Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. NeurIPS Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
2020	J	`jnl`	Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards. CoRR Kyungjae Lee, Hongjun Yang, Sungbin Lim, Songhwai Oh
2020	A*	`conf`	Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. CVPR Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim
2020	J	`jnl`	torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models. CoRR Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim
2019	A*	`conf`	Fast AutoAugment. NeurIPS Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
2019	J	`jnl`	Fast AutoAugment. CoRR Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim
2019	—	`conf`	Scalable Neural Architecture Search for 3D Medical Image Segmentation. MICCAI (3) Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
2019	J	`jnl`	Scalable Neural Architecture Search for 3D Medical Image Segmentation. CoRR Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim
2019	J	`jnl`	Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. CoRR Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh
2018	J	`jnl`	ChoiceNet: Robust Learning by Revealing Output Correlations. CoRR Sungjoon Choi, Sanghoon Hong, Sungbin Lim
2018	A*	`conf`	Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling. ICRA Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh
2017	J	`jnl`	Neural Stain-Style Transfer Learning using GAN for Histopathological Images. CoRR Hyungjoo Cho, Sungbin Lim, Gunho Choi, Hyunseok Min
2017	J	`jnl`	Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling. CoRR Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh