Lee Sael

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 40

Top Topics

Tensor Factorization

Indexing Methods

Heterogeneous Data

Top Venues

Publications

KyungPyo Ham, Lee Sael
Evidential meta-model for molecular property prediction. Bioinform. 39 (10) (2023)
Jaemin Yoo, Lee Sael
Transition Matrix Representation of Trees with Transposed Convolutions. SDM (2022)
KyungPyo Ham, JeongNoh Yoon, Lee Sael
Towards Accurate and Certain Molecular Properties Prediction. ICTC (2022)
Son Heesoo, Lee Sangseok, Lee Sael
Cross-Attention Model for Multi-modal Bio-Signal Processing. BigComp (2022)
Jin-Jun Park, Lee Sael
Benchmarking Deep Graph Models for Large Molecular Generation. BigComp (2022)
Jae-woong Lee, Minjin Choi, Lee Sael, Hyunjung Shim, Jongwuk Lee
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation. Knowl. Inf. Syst. 64 (5) (2022)
Jun-Gi Jang, Moonjeong Park, Jongwuk Lee, Lee Sael
Large-scale tucker Tensor factorization for sparse and accurate decomposition. J. Supercomput. 78 (16) (2022)
Jaemin Yoo, Lee Sael
Transition Matrix Representation of Trees with Transposed Convolutions. CoRR (2022)
Moonjeong Park, Jun-Gi Jang, Lee Sael
VEST: Very Sparse Tucker Factorization of Large-Scale Tensors. BigComp (2021)
Jinhong Jung, Lee Sael
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. 110 (3) (2021)
Jinhong Jung, Lee Sael
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. 110 (2) (2021)
Jaemin Yoo, Lee Sael
Gaussian Soft Decision Trees for Interpretable Feature-Based Classification. PAKDD (2) (2021)
Jinhong Jung, Lee Sael
Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. 109 (12) (2020)
Jinhong Jung, Lee Sael
Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach. CoRR (2020)
Dongjin Choi, Lee Sael
SNeCT: Scalable Network Constrained Tucker Decomposition for Multi-Platform Data Profiling. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Jaemin Yoo, Lee Sael
EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees. ICDM (2019)
Yongsub Lim, In-Jae Yu, Dongmin Seo, U Kang, Lee Sael
PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks. BMC Bioinform. (13) (2019)
Moonjeong Park, Jun-Gi Jang, Lee Sael
VeST: Very Sparse Tucker Factorization of Large-Scale Tensors. CoRR (2019)
Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang
High-Performance Tucker Factorization on Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 30 (10) (2019)
Jungwoo Lee, Sejoon Oh, Lee Sael
GIFT: Guided and Interpretable Factorization for Tensors with an application to large-scale multi-platform cancer analysis. Bioinform. 34 (24) (2018)
Sejoon Oh, Namyong Park, Lee Sael, U Kang
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. ICDE (2018)
Jungwoo Lee, Sejoon Oh, Lee Sael
GIFT: Guided and Interpretable Factorization for Tensors - An Application to Large-Scale Multi-platform Cancer Analysis. CoRR (2018)
Lee Sael
Introduction to Selected Papers from GIW2017. J. Bioinform. Comput. Biol. 16 (3) (2018)
Jaya Thomas, Lee Sael
Multi-kernel LS-SVM based integration bio-clinical data analysis and application to ovarian cancer. Int. J. Data Min. Bioinform. 19 (2) (2017)
Vasundhara Dehiya, Jaya Thomas, Lee Sael
Prior Knowledge based mutation prioritization towards causal variant finding in rare disease. CoRR (2017)
Jaya Thomas, Sonia Thomas, Lee Sael
Feature versus Raw Sequence: Deep Learning Comparative Study on Predicting Pre-miRNA. CoRR (2017)
Jungwoo Lee, Dongjin Choi, Lee Sael
CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions. CoRR (2017)
Kijung Shin, Lee Sael, U Kang
Fully Scalable Methods for Distributed Tensor Factorization. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Jaya Thomas, Lee Sael
Deep Neural Network Based Precursor microRNA Prediction on Eleven Species. CoRR (2017)
Quoc Duy Vo, Jaya Thomas, Shinyoung Cho, Pradipta De, Bong Jun Choi, Lee Sael
Next Generation Business Intelligence and Analytics: A Survey. CoRR (2017)
Jaya Thomas, Sonia Thomas, Lee Sael
DP-miRNA: An improved prediction of precursor microRNA using deep learning model. BigComp (2017)
Sejoon Oh, Namyong Park, Lee Sael, U Kang
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. CoRR (2017)
Jinhong Jung, Namyong Park, Lee Sael, U Kang
BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. SIGMOD Conference (2017)
Dongjin Choi, Lee Sael
SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis. CoRR (2017)
Jinhong Jung, Kijung Shin, Lee Sael, U Kang
Random Walk with Restart on Large Graphs Using Block Elimination. ACM Trans. Database Syst. 41 (2) (2016)
Sungchul Kim, Lee Sael, Hwanjo Yu
patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization. Bioinform. 32 (13) (2016)
Inah Jeon, Evangelos E. Papalexakis, Christos Faloutsos, Lee Sael, U Kang
Mining billion-scale tensors: algorithms and discoveries. VLDB J. 25 (4) (2016)
Jinhong Jung, Woojeong Jin, Lee Sael, U Kang
Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. ICDM (2016)
Byungsoo Jeon, Inah Jeon, Lee Sael, U Kang
SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries. ICDE (2016)
Jaya Thomas, Lee Sael
Maximizing information through multiple kernel-based heterogeneous data integration and applications to ovarian cancer. EDB (2016)
Sungchul Kim, Lee Sael, Hwanjo Yu
patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization. Bioinform. 31 (22) (2015)
Kijung Shin, Jinhong Jung, Lee Sael, U Kang
BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs. SIGMOD Conference (2015)
Lee Sael, Inah Jeon, U Kang
Scalable Tensor Mining. Big Data Res. 2 (2) (2015)
Sungchul Kim, Lee Sael, Hwanjo Yu
LMDS-based approach for efficient top-k local ligand-binding site search. Int. J. Data Min. Bioinform. 12 (4) (2015)
Jaya Thomas, Lee Sael
Overview of integrative analysis methods for heterogeneous data. BigComp (2015)
Sungchul Kim, Lee Sael, Hwanjo Yu
Identifying Cancer Subtypes based on Somatic Mutation Profile. DTMBIO@CIKM (2014)
Dongyeop Kang, Woosang Lim, Kijung Shin, Lee Sael, U Kang
Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression. CIKM (2014)
Sungchul Kim, Lee Sael, Hwanjo Yu
Efficient local ligand-binding site search using landmark mds. DTMBIO (2013)
Darius Coelho, Lee Sael
Breast and prostate cancer expression similarity analysis by iterative SVM based ensemble gene selection. DTMBIO (2013)
Sungchul Kim, Lee Sael, Hwanjo Yu
Fast protein 3D surface search. ICUIMC (2013)
Sungchul Kim, Lee Sael, Hwanjo Yu
Efficient protein structure search using indexing methods. BMC Medical Informatics Decis. Mak. 13 (S-1) (2013)
Sungchul Kim, Lee Sael, Hwanjo Yu
Indexing methods for efficient protein 3D surface search. DTMBIO@CIKM (2012)
Lee Sael, Daisuke Kihara
Constructing patch-based ligand-binding pocket database for predicting function of proteins. BMC Bioinform. 13 (S-2) (2012)
Lee Sael, Daisuke Kihara
Characterization and Classification of Local Protein Surfaces Using Self-Organizing Map. Int. J. Knowl. Discov. Bioinform. 1 (1) (2010)
Lee Sael, Daisuke Kihara
Improved protein surface comparison and application to low-resolution protein structure data. BMC Bioinform. 11 (S-11) (2010)
David La, Juan Esquivel-Rodríguez, Vishwesh Venkatraman, Bin Li, Lee Sael, Stephen Ueng, Steven Ahrendt, Daisuke Kihara
3D-SURFER: software for high-throughput protein surface comparison and analysis. Bioinform. 25 (21) (2009)
Vishwesh Venkatraman, Yifeng D. Yang, Lee Sael, Daisuke Kihara
Protein-protein docking using region-based 3D Zernike descriptors. BMC Bioinform. 10 (2009)