Publication

Publication (저널, ArXiv, 학술 대회 발표)

M. Jung, J. Lee, J. Kim, A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems, Applied Intelligence, online published, 2024. [LINK]


M. Jung, M. Kim, J. Kim, ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models, IEEE Access, 2024. [LINK]

J. Park, J. Ahn, J .Choi, J. Kim, Mol-AIR: Molecular reinforcement learning with adaptive intrinsic rewards for goal-directed molecular generation, ArXiv, 2403. 20109, 2024. [LINK]


진성원, 이재승, 김지범, 수도미터 AMI 데이터에서 Transformer 기반 모델들과 Linear 기반 모델들의 장기 시계열 예측 성능 분석, 한국소프트웨어종합학술대회 KSC, 2023.

정민섭, 김민성, 김지범, 트랜스포머 오토인코더와 Diffusion 모델을 사용한 3D CAD 모델 생성 방법, 전자공학회 논문지, 2023. [LINK]

D. Kim, G. Kim, E. Baeg, H. Jeong, M. Jeong, J. Lee, H. Choi, J. Choe, E. Lee, J. Kim, S. Yang, Grapheme electrode based electrotherapy of ischemic stroke in rats,KSBNS conference, 2023.           (Best poster award)

M. Kim, J. Lee, J. Kim, GMR-Net: GCN-based Mesh Refinement Framework for Elliptic PDE Problems, Engineering with Computers,     JCR 랭킹 상위 2.6%, IF=8.7, 2023. [LINK]

J. Lee, H. Roh, J. Kim, A data-driven proactive mesh refinement framework for computational fluid dynamics simulations in converging-diverging nozzles, SIAM International Meshing Roundtable, Netherlands, 2023.

김민성, 이재승, 김지범,  불균일한 메쉬 생성을 위한 데이터 기반의 메쉬 세분화 프레임워크,           전자공학회 논문지, 2022.[LINK]

M. Kim, J. Lee, J. Kim,  A deep-learning-based mesh refinement framework for solving PDEs, Oral Presentation, ICCS,        United Kingdom, 2022. 

J. Lee, W. Choi, J. Kim, Learning geometric combinatorial optimization using self-attention and domain knowledge, ArXiv 2107.01759, 2021.

V. Chinbat, H. Bak, J. Kim, S. Bae, 자동화된 데이터 증강을 위한 적대적 생성 신경망 네트워크,  한국소프트웨어 종합학술대회 KSC, 2021. [LINK]

J. Lee, W. Choi, J. Kim, A cost-effective CNN-LSTM-based solution for predicting faulty remote water meter reading devices in AMI systems, Sensors, 2021.[LINK]

J. Kim, J. Choi, W. Kang, A Data-driven Approach for Simultaneous Mesh Untangling and Smoothing using Pointer Networks,    IEEE Access, 2020.[LINK]

J.Choi, H. Kim, S.P. Sastry, J. Kim, A Deviation-Based Dynamic Vertex Reordering Technique for 2D Mesh Quality Improvement, Symmetry, 2019.[LINK]

J. Ahn, J. Choi, H, Kim, J. Kim, RN+: A novel biclustering algorithm for analysis of gene expression data using protein-protein interaction network, Journal of Computationl Biology, 2019.

E. Lee, M. Shin, J. Kim, Improved simultaneous mesh untangling and smoothing of 2D triangular meshes, International Journal of Computational Methods, 2019.[LINK]

D. Kim, E. Lee, J. Kim, Experiencing LoRa network establishment on a smart energy campus testbed, sustainability, 2019.[LINK]

W. Kang and J. Kim, PDDS: Scalable Sensor Data Distribution for Cyber-Physical Systems Using GPGPUs , IEEE IoT Journal, 2018. JCR 랭킹 상위 <5%. [LINK]

최준혁, 김지범, 기계 학습 및 딥러닝 알고리즘을 사용한 스마트 수도미터 시스템에서의 물 사용량 데이터 분석, 전자공학회 논문지, 2018.[LINK]

J. Kim, An iterative mesh untangling algorithm using edge flip, Mathemaical Problems in Engineering, 2017.

J. Kim, A multiobjective mesh optimization algorithm for improving the solution accuracy of PDE computations, International Journal of Computational Methods, 2016.

J. Kim, B.J. Miller, S.M. Shontz, A hybrid mesh deformation algorithm using anisotropy and multiobjective mesh optimization, Computer and Mathematics with Applications, 2015. [LINK]

J. Chung and J. Kim, Segment delay learning from quantized path delay measurements, IEEE Transcation on Computer-Aided Design of Integrated Circuit and Systems, 2015.[LINK]

J. Kim and J. Chung, Untangling polygonal and polyhedral meshes via mesh optimization,  Engineering with Computers, 2015.[LINK]

J. Kim, M. Shin, W. Kang, A derivative-free mesh optimization algorithm for mesh quality improvement and unatngling, Mathematical Problems in Engineering,  2015.[LINK]

J. Kim, I. Kim, N. Kwon, H. Park, J. Chae, A hybrid algorithm for online location update using feature point detection for portable devices, KSII Transactions on Internet and Information Systems, 2015.[LINK]

J. Kim, An efficient approach for solving mesh optimization problems using Newton's method,  Mathematical Problems in Engineering, 2014.[LINK]

J. Kim, D. McLaurin, S.M. Shontz, A 2D topology-adaptive mesh deformation framework for extermly large boundary deformations, World Congress on Computational Mechanics (WCCM XI), 2014. 

J. Kim, R.V. Garimella, M. Berndt, A practical approach for solving mesh optimization problems using Newton's method, 22nd International Meshing Roundtable (IMR), 2013.                   구글 스칼라 피인용 60회+ 

K. Aycock, K. Fox, S.P. Sastry, J. Kim, et.al, Computational simulations of IVC filter implantation in patient-specific geometries, Proceedings of the 2013 Biomedical Engineering Society (BMES) Annual Meeting, 2013,

J. Kim, T. Panitanarak, and S.M. Shontz, A multiobjective mesh optimization framework for mesh quality improvement and mesh untangling, International Journal for Numerical Methods in Engineering,  2013.[LINK]

J. Kim, S.P. Sastry, and S.M. Shontz, The interplay among geometry, meshes, and linear algebra in the numerical solution of elliptic PDEs, Engineering with Computers, 2012.[LINK]

J. Kim, S.P. Sastry, and S.M. Shontz, Efficient solution of elliptic partial differential equations via effective combination of Mesh quality metrics, preconditioners, and sparse linear solvers,in Proc. 19th International Meshing Roundtable (IMR), 2010. 

J. Kim, K. Sohn, C. Koh, and Y. Kim, An efficient transmission slot selection scheme for MC-CDMA systems with packet loss and delay bound constraints, IEICE Transactions on Communications, 2005.