Gyoung S. Na - RankMe

27 papers A* 7B 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics. CoRR Gyoung S. Na, Chanyoung Park
2026	J	`jnl`	MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning. CoRR Heewoong Noh, Gyoung S. Na, Namkyeong Lee, Chanyoung Park
2025	J	`jnl`	A quantum chemical dataset of interacting molecular pairs for chemical reaction studies. J. Cheminformatics Seunghun Jang, Gyoung S. Na
2025	—	`conf`	Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics. KDD (1) Gyoung S. Na, Chanyoung Park
2025	J	`jnl`	IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra. CoRR Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Kibum Kim, Chanyoung Park
2025	A*	`conf`	Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning. ICLR Gyoung S. Na, Chanyoung Park
2024	J	`jnl`	3D Interaction Geometric Pre-training for Molecular Relational Learning. CoRR Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen Wang, Tianfan Fu, Chanyoung Park
2024	J	`jnl`	Metaheuristics-guided active learning for optimizing reaction conditions of high-performance methane conversion. Appl. Soft Comput. Gyoung S. Na, Hyun Woo Kim
2024	A*	`conf`	Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge. NeurIPS Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park
2024	J	`jnl`	Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge. CoRR Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park
2023	A*	`conf`	Conditional Graph Information Bottleneck for Molecular Relational Learning. ICML Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
2023	J	`jnl`	Conditional Graph Information Bottleneck for Molecular Relational Learning. CoRR Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
2023	A*	`conf`	Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. NeurIPS Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
2023	J	`jnl`	Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. CoRR Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
2023	J	`jnl`	Predicting Density of States via Multi-modal Transformer. CoRR Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
2023	A*	`conf`	Shift-Robust Molecular Relational Learning with Causal Substructure. KDD Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park
2023	J	`jnl`	Shift-Robust Molecular Relational Learning with Causal Substructure. CoRR Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park
2023	J	`jnl`	Stoichiometry Representation Learning with Polymorphic Crystal Structures. CoRR Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park
2022	B	`conf`	Conditional Graph Regression for Complex Chemical Systems with Heterogeneous Substructures. IEEE Big Data Gyoung S. Na
2022	J	`jnl`	Efficient learning rate adaptation based on hierarchical optimization approach. Neural Networks Gyoung S. Na
2022	J	`jnl`	Eigen-guided deep metric learning. Expert Syst. Appl. Gyoung S. Na
2022	A*	`conf`	Nonlinearity Encoding for Extrapolation of Neural Networks. KDD Gyoung S. Na, Chanyoung Park
2022	J	`jnl`	Unsupervised Subspace Extraction via Deep Kernelized Clustering. ACM Trans. Knowl. Discov. Data Gyoung S. Na, Hyunju Chang
2021	J	`jnl`	Reverse graph self-attention for target-directed atomic importance estimation. Neural Networks Gyoung S. Na, Hyun Woo Kim
2020	J	`jnl`	Costless Performance Improvement in Machine Learning for Graph-Based Molecular Analysis. J. Chem. Inf. Model. Gyoung S. Na, Hyun Woo Kim, Hyunju Chang
2020	—	`conf`	Scale-Aware Graph-Based Machine Learning for Accurate Molecular Property Prediction. IEEE BigData Gyoung S. Na, Hyun Woo Kim, Hyunju Chang
2018	A*	`conf`	DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams. KDD Gyoung S. Na, Donghyun Kim, Hwanjo Yu