Yongjin Lee

发表

스마트카를 위한 차선변경 인식시스템

Nojun Kwak, Yongjin Lee, Jeong-Ha Yang, 2015 .

Machine Learning Prediction on Properties of Nanoporous Materials Utilizing Pore Geometry Barcodes

Xiangyu Zhang, Kexin Zhang, Jiasheng Wu, 2019, J. Chem. Inf. Model..

Access Restriction by Packet Capturing during the Internet based Class

Yongjin Lee, 이중철, 2007 .

Interactive Art Creation for Customizing of Soundscape

Younghwan Pan, Kiechan Namkung, Chaemoon Yoo, 2020 .

Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)

Byeonghyeop Yu, Keemin Sohn, Yongjin Lee, 2020 .

Embedding Differentiable Sparsity into Deep Neural Network pdf

Yongjin Lee, 2020, ArXiv.

Predicting Short-Term Traffic Speed Using a Deep Neural Network to Accommodate Citywide Spatio-Temporal Correlations

Keemin Sohn, Yongjin Lee, Hyunjeong Jeon, 2020, IEEE Transactions on Intelligent Transportation Systems.

Throughput Comparison of TCP Variants and SCTPusing the Link-down Simulation of NS-2

Yongjin Lee, Sang-In Choi, DongWoo Lee, 2012 .

Large thermoelectric figure-of-merits from SiGe nanowires by simultaneously measuring electrical and thermal transport properties.

Choongho Yu, Arun Majumdar, Dongmok Whang, 2012, Nano letters.

Cation-π interaction in DOPA-deficient mussel adhesive protein mfp-1.

Hongbo Zeng, Yongjin Lee, Dong Soo Hwang, 2015, Journal of materials chemistry. B.

Mechanism of thermal conductivity suppression in doped silicon studied with nonequilibrium molecular dynamics

Yongjin Lee, Gyeong S. Hwang, G. Hwang, 2012 .