Design and Evaluation of Routing Schemes for Dependable Real-Time Connections. - Songkuk Kim; Daji Qiao; Sharath Kodase; Kang G. Shin (DSN, 2001)

Improving Dependability of Real-Time Communication with Preplanned Backup Routes and Spare Resource Pool. - Songkuk Kim; Kang G. Shin (IWQoS, 2003)

Extracting a Mobility Model from Real User Traces. - Minkyong Kim; David Kotz; Songkuk Kim (INFOCOM, 2006)

Improving the dependability of computer networks. - Songkuk Kim (2006)

Enhancing Lexicon-Based Review Classification by Merging and Revising Sentiment Dictionaries. - Heeryon Cho; Jong-Seok Lee; Songkuk Kim (IJCNLP, 2013)

On the Impact of Layer-Splitting for Cloud-Based SVC Streaming. - Seonghoon Moon; Chanhyuk Jung; Jong-Seok Lee; Songkuk Kim (FiCloud, 2014)

Predicting the Near-Weekend Ticket Sales Using Web-Based External Factors and Box-Office Data. - Seonghoon Moon; Suman Bae; Songkuk Kim (WI-IAT (1), 2014)

Data-driven integration of multiple sentiment dictionaries for lexicon-based sentiment classification of product reviews. - Heeryon Cho; Songkuk Kim; Jongseo Lee; Jong-Seok Lee (Knowl. Based Syst., 2014)

Multiple regression models for a big data empowered SON framework. - Yoonsu Shin; Chan-Byoung Chae; Songkuk Kim (ICUFN, 2015)

Exploiting Adaptive Multi-interface Selection to Improve QoS and Cost-Efficiency of Mobile Video Streaming. - Seonghoon Moon; Juwan Yoo; Songkuk Kim (IEEE MS, 2015)

ROSS: A Design of Read-Oriented STT-MRAM Storage for Energy-Efficient Non-Uniform Cache Architecture. - Jie Zhang 048; Miryeong Kwon; Chanyoung Park 003; Myoungsoo Jung; Songkuk Kim (INFLOW@OSDI, 2016)

Adaptive interface selection over cloud-based split-layer video streaming via multi-wireless networks. - Seonghoon Moon; Juwan Yoo; Songkuk Kim (Future Gener. Comput. Syst., 2016)

Optimal Multi-Interface Selection for Mobile Video Streaming in Efficient Battery Consumption and Data Usage. - Seonghoon Moon; Juwan Yoo; Songkuk Kim (Mob. Inf. Syst., 2016)

Multivariate Multiple Regression Models for a Big Data-Empowered SON Framework in Mobile Wireless Networks. - Yoonsu Shin; Chan-Byoung Chae; Songkuk Kim (Mob. Inf. Syst., 2016)

SVM Classification Model of Similar Bacteria Species using Negative Marker: Based on Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry. - Jongseo Lee; Yoonsu Shin; Songkuk Kim; Kyoohyoung Rho; Kyu H. Park (BIBE, 2017)

Validity of Biosignal Processing System based on Haar Transform in IoT Application. - Yoonsu Shin; Jongseo Lee; Songkuk Kim (BIBE, 2017)

Sigcon: Simplifying a Graph Based on Degree Correlation and Clustering Coefficient. - Hojin Jung; Songkuk Kim (HPCC/SmartCity/DSS, 2017)

The virtualized MPTCP proxy performance in cellular network. - Sunyoung Chung; Seonghoon Moon; Songkuk Kim (ICUFN, 2017)

Design and Analysis of Virtualized Caching Service on Cellular Infrastructure. - Seonghoon Moon; Yoonsu Shin; Sunyoung Chung; Songkuk Kim (MobiWac, 2017)

Measuring the eccentricity of items. - Chanyoung Park 003; Songkuk Kim (SMC, 2017)

Virtualized ANR to Manage Resources for Optimization of Neighbour Cell Lists in 5G Mobile Wireless Networks. - Yoonsu Shin; Songkuk Kim (Mob. Inf. Syst., 2017)

Utilizing Negative Markers for Identifying Mycobacteria Species based on Mass Spectrometry with Machine Learning Methods. - Jongseo Lee; Kyoohyoung Rho; Kyu H. Park; Jae-Seok Kim; Sue Shin; Taek Soo Kim; Songkuk Kim (BIBM, 2019)

Music for Sleep and Wake-Up: An Empirical Study. - Taekyu Lee; Seong-Eun Moon; Jongsoo Baek; Jong-Seok Lee; Songkuk Kim (IEEE Access, 2019)

Differentiable Bayesian Neural Network Inference for Data Streams. - Namuk Park; Taekyu Lee; Songkuk Kim (CoRR, 2019)

Real-time Integrated Human Activity Recognition System based on Multimodal User Understanding. - Jun-Ho Choi; Kyungmin Kim; Taejin Park; Junho Yun; Jong-Hwan Lee; Songkuk Kim; Hyunjung Shim; Jong-Seok Lee (IUI Companion, 2020)

Vector Quantized Bayesian Neural Network Inference for Data Streams. - Namuk Park; Taekyu Lee; Songkuk Kim (AAAI, 2021)

Blurs Make Results Clearer: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. - Namuk Park; Songkuk Kim (CoRR, 2021)

FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary Data Streams. - Namuk Park; Songkuk Kim (Sensors, 2021)

How Do Vision Transformers Work? - Namuk Park; Songkuk Kim (ICLR, 2022)

Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. - Namuk Park; Songkuk Kim (ICML, 2022)

Demo: Real-Time Semantic Communications with a Vision Transformer. - Hanju Yoo; Taehun Jung; Linglong Dai; Songkuk Kim; Chan-Byoung Chae (CoRR, 2022)

On the Role of ViT and CNN in Semantic Communications: Analysis and Prototype Validation. - Hanju Yoo; Linglong Dai; Songkuk Kim; Chan-Byoung Chae (IEEE Access, 2023)

Curved Representation Space of Vision Transformers. - Juyeop Kim; Junha Park; Songkuk Kim; Jong-Seok Lee (AAAI, 2024)

Fusing Brilliance: Evaluating the Encoder-Decoder Hybrids With CNN and Swin Transformer for Medical Segmentation. - Seunghyuk Lee; Songkuk Kim (IEEE Access, 2024)

FLex&Chill: Improving Local Federated Learning Training with Logit Chilling. - Kichang Lee; Songkuk Kim; JeongGil Ko (CoRR, 2024)

Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications. - Hanju Yoo; Dongha Choi; Yonghwi Kim; Yoontae Kim; Songkuk Kim; Chan-Byoung Chae; Robert W. Heath Jr. (CoRR, 2025)

Clean-to-clean: pretraining vision transformers without additional data. - Hyeonjin Lee; Songkuk Kim; Jong-Seok Lee (Mach. Vis. Appl., 2025)

Toward Storage-Aware Learning with Compressed Data An Empirical Exploratory Study on JPEG. - Kichang Lee; Songkuk Kim; JaeYeon Park; JeongGil Ko (CoRR, 2025)