On Bernoulli-Gaussian process modeling of speech excitation source. - Ki Yong Lee; Byung-Gook Lee; Iickho Song; Souguil Ann (ICASSP, 1990)

An improved method for multipulse speech analysis. - Ki Yong Lee; Inhyok Cha; Eckho Song; Souguil Ann (ICSLP, 1990)

Detection of composite signals: Part I. Locally optimum detector test statistics. - Iickho Song; Jae Cheol Son; Ki Yong Lee (Signal Process., 1991)

Robust estimation of AR parameters and its application for speech enhancement. - Ki Yong Lee; Byung-Gook Lee; Iickho Song; Souguil Ann (ICASSP, 1992)

A sequential algorithm for robust parameter estimation and enhancement of noisy speech. - Byung-Gook Lee; Ki Yong Lee; Souguil Ann; Iickho Song (ISCAS, 1993)

Robust recursive estimation for linear systems with non-Gaussian state and measurement noises. - Ki Yong Lee; Byung-Gook Lee; Souguil Ann; Iickho Song (ICASSP (4), 1994)

An EM-based approach for parameter enhancement with an application to speech signals. - Byung-Gook Lee; Ki Yong Lee; Souguil Ann (Signal Process., 1995)

Performance analysis of FHSS BFSK systems with nonlinear detectors in selective fading impulsive noise environment. - Seong Ill Park; Ki Yong Lee; Iickho Song (Signal Process., 1995)

Recursive speech enhancement using the EM algorithm with initial conditions trained by HMM's. - Ki Yong Lee; Byung-Gook Lee; Iickho Song; Jisang Yoo (ICASSP, 1996)

Efficient recursive estimation for speech enhancement in colored noise. - Ki Yong Lee; Katsuhiko Shirai (IEEE Signal Process. Lett., 1996)

Complex fuzzy adaptive filter with LMS algorithm. - Ki Yong Lee (IEEE Trans. Signal Process., 1996)

A nonstationary autoregressive HMM and its application to speech enhancement. - Ki Yong Lee; JaeYeol Rheem (EUROSPEECH, 1997)

On robust Kalman filtering with forgetting factor for sequential speech analysis. - Taewon Yang; Joohun Lee; Ki Yong Lee; Koeng-Mo Sung (Signal Process., 1997)

Adaptive filtering for speech enhancement in colored noise. - Ki Yong Lee; Byung-Gook Lee; Souguil Ann (IEEE Signal Process. Lett., 1997)

A nonstationary autoregressive HMM with gain adaptation for speech recognition. - Ki Yong Lee; Joohun Lee (ICSLP, 1998)

On robust sequential estimator based on t-distribution with forgetting factor for speech analysis. - Joohun Lee; Ki Yong Lee (ICSLP, 1998)

Speech enhancement based on neural predictive hidden Markov model. - Ki Yong Lee; Steve McLaughlin 001; Katsuhiko Shirai (Signal Process., 1998)

Speech recognition and enhancement by a nonstationary AR HMM with gain adaptation under unknown noise. - Günther Ruske; Ki Yong Lee (ICASSP, 1999)

Smoothing approach using forward-backward Kalman filter with Markov switching parameters for speech enhancement. - Ki Yong Lee; Souhwan Jung; JaeYeol Rheem (Signal Process., 2000)

Mixture IMM for speech enhancement under nonstationary noise. - SangKi Kang; SeongJoon Baek; Ki Yong Lee; Koeng-Mo Sung (IEEE Trans. Speech Audio Process., 2000)

Time-domain approach using multiple Kalman filters and EM algorithm to speech enhancement with nonstationary noise. - Ki Yong Lee; Souhwan Jung (IEEE Trans. Speech Audio Process., 2000)

Efficient Incremental View Maintenance in Data Warehouses. - Ki Yong Lee; Jin Hyun Son; Myoung-Ho Kim (CIKM, 2001)

Speech enhancement based on IMM with NPHMM. - Yunjung Lee; Joohun Lee; Ki Yong Lee; Katsuhiko Shirai (INTERSPEECH, 2001)

AR-ARMA HMM and its application to speech enhancement. - Joohun Lee; JongJoo Lee; Ki Yong Lee; Katsuhiko Shirai (SIP, 2001)

Recognition of noisy speech by a nonstationary AR HMM with gain adaptation under unknown noise. - Ki Yong Lee; Joohun Lee (IEEE Trans. Speech Audio Process., 2001)

A new nonlinear prediction model based on the Recurrent Neural Predictive Hidden Markov Model for speech enhancement. - Joohim Lee; Changwoo Seo; Ki Yong Lee (ICASSP, 2002)

Speaker Verification System for PDA in Mobile-Commerce. - Younjeong Lee; Changwoo Seo; Joohun Lee; Ki Yong Lee (Human.Society@Internet 2003, 2003)

Efficient Speaker Identification Based on Robust VQ-PCA. - Younjeong Lee; Joohun Lee; Ki Yong Lee (ICCSA (2), 2003)

Robust Speaker Recognition Against Utterance Variations. - JongJoo Lee; JaeYeol Rheem; Ki Yong Lee (ICCSA (2), 2003)

PCA Fuzzy Mixture Model for Speaker Identification. - Younjeong Lee; Joohun Lee; Ki Yong Lee (IDEAL, 2003)

GMM Based on Local Fuzzy PCA for Speaker Identification. - JongJoo Lee; JaeYeol Rheem; Ki Yong Lee (IDEAL, 2003)

Robust Speech Enhancement Based on NPHMM Under Unknown Noise. - Ki Yong Lee; JaeYeol Rheem (Summer School on Neural Networks, 2004)

Local fuzzy PCA based GMM with dimension reduction on speaker identification. - Ki Yong Lee (Pattern Recognit. Lett., 2004)

A study on IMM with NPHMM and an application to speech enhancement. - Ki Yong Lee; Joohun Lee (Signal Process., 2004)

Optimizing the incremental maintenance of multiple join views. - Ki Yong Lee; Myoung-Ho Kim (DOLAP, 2005)

Speaker Identification Based on Subtractive Clustering Algorithm with Estimating Number of Clusters. - Younjeong Lee; Ki Yong Lee; JaeYeol Rheem (TSD, 2005)

Efficient Incremental Maintenance of Data Cubes. - Ki Yong Lee; Myoung-Ho Kim (VLDB, 2006)

Reducing the cost of accessing relations in incremental view maintenance. - Ki Yong Lee; Jin Hyun Son; Myoung-Ho Kim (Decis. Support Syst., 2007)

Direction-based clustering for efficient multicasting in wireless ad-hoc networks. - Jihoon Son; YongHyun Cho; Yon Dohn Chung; Ki Yong Lee (MobiDE, 2008)

A request distribution method for clustered VOD servers considering buffer sharing effects. - Dae Hyun Cho; Ki Yong Lee; Seunglak Choi; Yon Dohn Chung; Myoung-Ho Kim; Yoon-Joon Lee (J. Syst. Archit., 2008)

An Effective Self-Adaptive Admission Control Algorithm for Large Web Caches. - Chul-Woong Yang; Ki Yong Lee; Yon Dohn Chung; Myoung-Ho Kim; Yoon-Joon Lee (IEICE Trans. Inf. Syst., 2009)

An Efficient Dynamic Hash Index Structure for NAND Flash Memory. - Chul-Woong Yang; Ki Yong Lee; Myoung-Ho Kim; Yoon-Joon Lee (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Dynamic Forest: An Efficient Index Structure for NAND Flash Memory. - Chul-Woong Yang; Ki Yong Lee; Myoung-Ho Kim; Yoon-Joon Lee (IEICE Trans. Inf. Syst., 2009)

HIPaG: An energy-efficient in-network join for distributed condition tables in sensor networks. - Joo Hyuk Jeon; Ki Yong Lee; Jae Soo Yoo; Myoung-Ho Kim (J. Syst. Softw., 2009)

Design and implementation of MLC NAND flash-based DBMS for mobile devices. - Ki Yong Lee; Hyojun Kim; Kyoung-Gu Woo; Yon Dohn Chung; Myoung-Ho Kim (J. Syst. Softw., 2009)

An efficient method for maintaining data cubes incrementally. - Ki Yong Lee; Yon Dohn Chung; Myoung-Ho Kim (Inf. Sci., 2010)

Fast k-NN search using pre-computed l-NN sets. - Sanghyun Yoo; Ki Yong Lee; Myoung-Ho Kim (Comput. Syst. Sci. Eng., 2011)

Load shedding for multi-way stream joins based on arrival order patterns. - Tae-Hyung Kwon; Ki Yong Lee; Myoung-Ho Kim (J. Intell. Inf. Syst., 2011)

Distributed adaptive top-k monitoring in wireless sensor networks. - Hai Thanh Mai; Yu Won Lee; Ki Yong Lee; Myoung-Ho Kim (J. Syst. Softw., 2011)

Fast and adaptive browsing state recovery for multimedia consumer electronics devices. - Seokjin Hong; Ki Yong Lee (IEEE Trans. Consumer Electron., 2011)

A Privacy Protection Method for Social Network Data against Content/Degree Attacks. - Min Kyoung Sung; Ki Yong Lee; Jun-Bum Shin; Yon Dohn Chung (IEICE Trans. Inf. Syst., 2012)

Skyline queries on keyword-matched data. - Hyunsik Choi; HaRim Jung; Ki Yong Lee; Yon Dohn Chung (Inf. Sci., 2013)

Efficient processing of multiple continuous skyline queries over a data stream. - Yu Won Lee; Ki Yong Lee; Myoung-Ho Kim (Inf. Sci., 2013)

Communication-efficient processing of multiple continuous aggregate queries. - Joo Hyuk Jeon; Ki Yong Lee; Myoung-Ho Kim (Inf. Sci., 2014)

Dynamic filtering of sensor readings for approximate query processing in sensor networks. - Hai Tanh Mai; Ki Yong Lee; Myoung-Ho Kim (Comput. Syst. Sci. Eng., 2015)

Design and implementation of a data-driven simulation service system. - Ki Yong Lee; YoonJae Shin; YeonJeong Choe; SeonJeong Kim; Young-Kyoon Suh; Jeong Hwan Sa; Kumwon Cho (EDB, 2016)

Development of a simulation result management and prediction system using machine learning techniques. - Ki Yong Lee; Young-Kyoon Suh; Kumwon Cho (Int. J. Data Min. Bioinform., 2017)

A survey of simulation provenance systems: modeling, capturing, querying, visualization, and advanced utilization. - Young-Kyoon Suh; Ki Yong Lee (Hum. centric Comput. Inf. Sci., 2018)

A pattern-based outlier region detection method for two-dimensional arrays. - Ki Yong Lee; Young-Kyoon Suh (J. Supercomput., 2019)

An Approach to Improving the Effectiveness of Data Augmentation for Deep Neural Networks. - Seunghui Jang; Ki Yong Lee; Yanggon Kim (COMPSAC, 2020)

Human Gait Recognition Based on Integrated Gait Features using Kinect Depth Cameras. - Wonjin Kim; Yanggon Kim; Ki Yong Lee (COMPSAC, 2020)

Efficient Processing of Spatio-Temporal Joins on IoT Data. - Ki Yong Lee; Minji Seo; Ryong Lee; Minwoo Park; Sang-Hwan Lee (IEEE Access, 2020)

A Graph Embedding Technique for Weighted Graphs Based on LSTM Autoencoders. - Minji Seo; Ki Yong Lee (J. Inf. Process. Syst., 2020)

Effective and Efficient Similarity Measures for Purchase Histories Considering Product Taxonomy. - Yu-Jeong Yang; Ki Yong Lee (J. Inf. Process. Syst., 2021)

TI-former: A Time-Interval Prediction Transformer for Timestamped Sequences. - Hyewon Ryu; Sara Yu; Ki Yong Lee (SERA, 2023)

SDCG: Silhouette-based Deep Clustering with GNN for Improved Graph Node Clustering. - Hyesoo Shin; Eunjo Jang; Sojeong Kim; Ki Yong Lee (SERA, 2023)

DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data. - Hyun Woo Kim; Chen Zhang 022; Raphael Reher; Mingxun Wang 001; Kelsey L. Alexander; Louis-Félix Nothias; Yoo Kyong Han; Hyeji Shin; Ki Yong Lee; Kyu Hyeong Lee; Myeong Ji Kim; Pieter C. Dorrestein; et al. (J. Cheminformatics, 2023)

A Gradient-Based Explanation Method for Node Classification Using Graph Convolutional Networks. - Chaehyeon Kim; Hyewon Ryu; Ki Yong Lee (J. Inf. Process. Syst., 2023)

Cross Attention Integration: Enhancing Session-based Recommendations with Item-Category Interactions. - Eunjo Jang; Yeonju Song; Ki Yong Lee (BigComp, 2024)

Extending Transformer to Predict Both the Order and Occurrence Times of Elements in a Sequence. - Hyewon Ryu; Sara Yu; Ki Yong Lee (BigComp, 2024)

Deep k-Means Clustering Based on Graph Neural Networks: Leveraging Cohesion and Separation in Graph Nodes. - Hyesoo Shin; Ki Yong Lee (BigComp, 2024)