| 2022 | AISTATS | On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. | Jungtaek Kim, Seungjin Choi |
| 2022 | UAI | Combinatorial Bayesian optimization with random mapping functions to convex polytopes. | Jungtaek Kim, Seungjin Choi, Minsu Cho |
| 2020 | ICPR | Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. | Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi |
| 2019 | ACML | Forward-Backward Generative Adversarial Networks for Anomaly Detection. | Youngnam Kim, Seungjin Choi |
| 2019 | AISTATS | A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. | Juho Lee, Lancelot F. James, Seungjin Choi, Francois Caron |
| 2019 | ICML | Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. | Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh |
| 2018 | AAAI | On the Optimal Bit Complexity of Circulant Binary Embedding. | Saehoon Kim, Jungtaek Kim, Seungjin Choi |
| 2018 | ICASSP | Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks. | Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, Seungjin Choi |
| 2018 | ICASSP | Clustering-Guided Gp-Ucb for Bayesian Optimization. | Jungtaek Kim, Seungjin Choi |
| 2018 | ICML | Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace. | Yoonho Lee, Seungjin Choi |
| 2017 | AAAI | Binary Embedding with Additive Homogeneous Kernels. | Saehoon Kim, Seungjin Choi |
| 2017 | ICML | Bayesian inference on random simple graphs with power law degree distributions. | Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi |
| 2016 | CVPR | Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. | Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi |
| 2016 | ICASSP | Two-dimensional correlated topic models. | Suwon Suh, Seungjin Choi |
| 2016 | IJCNN | Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors. | Sojeong Ha, Seungjin Choi |
| 2016 | IJCNN | Echo-state conditional variational autoencoder for anomaly detection. | Suwon Suh, Daniel H. Chae, Hyon-Goo Kang, Seungjin Choi |
| 2016 | SMC | Frequency detection for SSVEP-based BCI using deep canonical correlation analysis. | Hanh Vu, Bonkon Koo, Seungjin Choi |
| 2015 | AISTATS | Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. | Juho Lee, Seungjin Choi |
| 2015 | CVPR | Bilinear random projections for locality-sensitive binary codes. | Saehoon Kim, Seungjin Choi |
| 2015 | SMC | Multi-modal Convolutional Neural Networks for Activity Recognition. | Sojeong Ha, Jeong-Min Yun, Seungjin Choi |
| 2015 | SMC | Pseudo-Supervised Latent Dirichlet Allocation for Image Annotation. | Huong Thi Pham, Seungjin Choi |
| 2015 | WACV | Near Duplicate Image Discovery on One Billion Images. | Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi |
| 2015 | WSDM | Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search. | Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi |
| 2014 | AISTATS | Scalable Variational Bayesian Matrix Factorization with Side Information. | Yong-Deok Kim, Seungjin Choi |
| 2014 | AISTATS | Incremental Tree-Based Inference with Dependent Normalized Random Measures. | Juho Lee, Seungjin Choi |
| 2014 | ICASSP | Supervised multi-modal topic model for image annotation. | Thu Hoai Tran, Seungjin Choi |
| 2014 | ICPR | Semi-supervised Learning on Bi-relational Graph for Image Annotation. | Hien Duy Pham, Kye-Hyeon Kim, Seungjin Choi |
| 2014 | IJCNN | Dependent stotchastic blockmodels. | Eunsil Gim, Sojeong Ha, Seungjin Choi |
| 2014 | IJCNN | Learning features with structure-adapting multi-view exponential family harmoniums. | Yoonseop Kang, Taewoong Jang, Seungjin Choi |
| 2014 | RecSys | Bayesian binomial mixture model for collaborative prediction with non-random missing data. | Yong-Deok Kim, Seungjin Choi |
| 2014 | SMC | Language-related glossokinetic potentials on scalp. | Yunjun Nam, Bonkon Koo, Seungjin Choi |
| 2014 | SDM | Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. | Sunho Park, TaeHyun Hwang, Seungjin Choi |
| 2013 | AAAI | Walking on Minimax Paths for k-NN Search. | Kye-Hyeon Kim, Seungjin Choi |
| 2013 | ICASSP | Bayesian multi-subject common spatial patterns with Indian Buffet process priors. | Hyohyeong Kang, Seungjin Choi |
| 2013 | ICASSP | Multi-view anchor graph hashing. | Saehoon Kim, Seungjin Choi |
| 2013 | ICASSP | Online multi-label learning with accelerated nonsmooth stochastic gradient descent. | Sunho Park, Seungjin Choi |
| 2013 | ICONIP | Stacked Denoising Autoencoders for Face Pose Normalization. | Yoonseop Kang, Kang-Tae Lee, Jihyun Eun, Sung Eun Park, Seungjin Choi |
| 2013 | ICONIP | Brand-Centric Recommendation with Inter-brand Similarities. | Hyojung Shin, Seungjin Choi |
| 2013 | IJCAI | Hierarchical Bayesian Matrix Factorization with Side Information. | Sunho Park, Yong-Deok Kim, Seungjin Choi |
| 2013 | PAKDD | Effective Evaluation Measures for Subspace Clustering of Data Streams. | Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl |
| 2012 | AAAI | Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes. | Hyohyeong Kang, Seungjin Choi |
| 2012 | ECCV | Sequential Spectral Learning to Hash with Multiple Representations. | Saehoon Kim, Yoonseop Kang, Seungjin Choi |
| 2012 | ECCV | Online Video Segmentation by Bayesian Split-Merge Clustering. | Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi |
| 2012 | ICASSP | Hierarchical variational Bayesian matrix co-factorization. | Jiho Yoo, Seungjin Choi |
| 2012 | ICDM | Deep Learning to Hash with Multiple Representations. | Yoonseop Kang, Saehoon Kim, Seungjin Choi |
| 2012 | ICDM | Hashing with Generalized Nystrm Approximation. | Jeong-Min Yun, Saehoon Kim, Seungjin Choi |
| 2012 | IJCNN | Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification. | Hyohyeong Kang, Seungjin Choi |
| 2012 | SMC | Self-labeling for P300 detection. | Sangmin Lee, Yunjun Nam, Seungjin Choi |
| 2011 | ICASSP | Multiple kernel nonnegative matrix factorization. | Shounan An, Jeong-Min Yun, Seungjin Choi |
| 2011 | ICASSP | Geometric programming for aggregation of binary classifiers. | Sunho Park, Seungjin Choi |
| 2011 | ICDM | Semi-supervised Discriminant Hashing. | Saehoon Kim, Seungjin Choi |
| 2011 | ICONIP | Nystrm Approximations for Scalable Face Recognition: A Comparative Study. | Jeong-Min Yun, Seungjin Choi |
| 2011 | IJCAI | Matrix Co-Factorization on Compressed Sensing. | Jiho Yoo, Seungjin Choi |
| 2010 | ICASSP | Learning alpha-integration with partially-labeled data. | Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe |
| 2010 | ICASSP | Alpha-integration of multiple evidence. | Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe |
| 2010 | ICASSP | Blind rhythmic source separation: Nonnegativity and repeatability. | Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi |
| 2010 | ICASSP | Nonnegative matrix partial co-factorization for drum source separation. | Jiho Yoo, Minje Kim, Kyeongok Kang, Seungjin Choi |
| 2010 | ICDM | Bayesian Aggregation of Binary Classifiers. | Sunho Park, Seungjin Choi |
| 2010 | ICONIP | A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. | Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi |
| 2010 | PRICAI | Manifold Alpha-Integration. | Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe |
| 2009 | ACML | Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction. | Jiho Yoo, Seungjin Choi |
| 2009 | ICASSP | Weighted nonnegative matrix factorization. | Yong-Deok Kim, Seungjin Choi |
| 2009 | ICASSP | Ensembles of landmark multidimensional scalings. | Seunghak Lee, Seungjin Choi |
| 2009 | ICASSP | Target speech extractionwith learned spectral bases. | Sunho Park, Jiho Yoo, Seungjin Choi |
| 2009 | ICASSP | Probabilistic matrix tri-factorization. | Jiho Yoo, Seungjin Choi |
| 2009 | ICONIP | Probabilistic Combination of Multiple Evidence. | Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe |
| 2009 | ICONIP | Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection. | Yoonseop Kang, Seungjin Choi |
| 2009 | WSDM | Incremental learning to rank with partially-labeled data. | Kye-Hyeon Kim, Seungjin Choi |
| 2008 | AAAI | Manifold Integration with Markov Random Walks. | Heeyoul Choi, Seungjin Choi, Yoonsuck Choe |
| 2008 | ICASSP | Nonnegative Tucker decomposition with alpha-divergence. | Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi |
| 2008 | ICASSP | Gaussian processes for source separation. | Sunho Park, Seungjin Choi |
| 2008 | ICPR | Kernel oriented discriminant analysis for speaker-independent phoneme spaces. | Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe |
| 2008 | IJCNN | Algorithms for orthogonal nonnegative matrix factorization. | Seungjin Choi |
| 2008 | IJCNN | CUR+NMF for learning spectral features from large data matrix. | Hyekyoung Lee, Seungjin Choi |
| 2008 | IJCNN | Gaussian process regression for voice activity detection and speech enhancement. | Sunho Park, Seungjin Choi |
| 2008 | IDEAL | Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds. | Jiho Yoo, Seungjin Choi |
| 2007 | CVPR | Nonnegative Tucker Decomposition. | Yong-Deok Kim, Seungjin Choi |
| 2007 | ICASSP | Non-Negative Tensor Factorization using Alpha and Beta Divergences. | Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari |
| 2007 | ICASSP | A Method of Initialization for Nonnegative Matrix Factorization. | Yong-Deok Kim, Seungjin Choi |
| 2007 | ICASSP | Soft Geodesic Kernel K-Means. | Jaehwan Kim, Kwang-Hyun Shim, Seungjin Choi |
| 2007 | ICML | Neighbor search with global geometry: a minimax message passing algorithm. | Kye-Hyeon Kim, Seungjin Choi |
| 2007 | IJCAI | Dynamically Weighted Hidden Markov Model for Spam Deobfuscation. | Seunghak Lee, Iryoung Jeong, Seungjin Choi |
| 2007 | IJCNN | Wake-Sleep PCA. | Seungjin Choi |
| 2006 | ICANN | Tree-Dependent Components of Gene Expression Data for Clustering. | Jong Kyoung Kim, Seungjin Choi |
| 2006 | ICANN | Nonnegative Matrix Factorization for Motor Imagery EEG Classification. | Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi |
| 2006 | ICASSP | Iterative Projection Approximation Algorithms for PCA. | Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki |
| 2006 | ICPR | ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. | Minje Kim, Seungjin Choi |
| 2006 | IJCNN | Relative Gradient Learning for Independent Subspace Analysis. | Heeyoul Choi, Seungjin Choi |
| 2006 | IJCNN | Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement. | Sunho Park, Seungjin Choi |
| 2005 | ICANN | On Variations of Power Iteration. | Seungjin Choi |
| 2005 | ICANN | On Spectral Basis Selection for Single Channel Polyphonic Music Separation. | Minje Kim, Seungjin Choi |
| 2005 | ICANN | Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach. | Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Seungjin Choi |
| 2005 | ICASSP | Relative trust region learning for ICA. | Heeyoul Choi, Seungjin Choi |
| 2005 | ISCAS | F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation. | Inseon Jang, Kyeongok Kang, Sangki Kim, Seungjin Choi |
| 2005 | ISCAS | Independent arrays or independent time courses for gene expression time series. | Sookjeong Kim, Seungjin Choi |
| 2004 | ICASSP | A new way of PCA: integrated-squared-error and EM algorithms. | Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh |
| 2004 | ICML | A multiplicative up-propagation algorithm. | Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh |
| 2004 | IJCNN | Trust-region learning for ICA. | Heeyoul Choi, Sookjeong Kim, Seungjin Choi |
| 2004 | IJCNN | Minimum entropy, k-means, spectral clustering. | Yongjin Lee, Seungjin Choi |
| 2004 | IJCNN | Fast stochastic neighbor embedding: a trust-region algorithm. | Kijoeng Nam, Hongmo Je, Seungjin Choi |
| 2004 | Interspeech | Learning nonnegative features of spectro-temporal sounds for classification. | Yong-Choon Cho, Seungjin Choi |
| 2003 | ICANN | Differential ICA. | Seungjin Choi |
| 2003 | ICASSP | Differential learning and random walk model. | Seungjin Choi |
| 2003 | IJCNN | Membership scoring via independent feature subspace analysis for grouping co-expressed genes. | Heyjin Kim, Seungjin Choi, Sung Yang Bang |
| 2002 | ICANN | Adaptive Differential Decorrelation: A Natural Gradient Algorithm. | Seungjin Choi |
| 2002 | Interspeech | Comparative evaluation of CASA and BSS models for subband cocktail-party speech separation. | Frdric Berthommier, Seungjin Choi |
| 2000 | ICASSP | Local stability analysis of flexible independent component analysis algorithm. | Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari |
| 2000 | Interspeech | Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. | Seungjin Choi, Heonseok Hong, Herv Glotin, Frdric Berthommier |
| 1999 | ICASSP | Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution. | Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari |
| 1997 | ESANN | A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria. | Seungjin Choi, Ruey-Wen Liu |
| 1997 | ICONIP | Natural Gradient Learning Algorithms for Decorrelation. | Seungjin Choi, Shun-ichi Amari, Andrzej Cichocki |
| 1997 | ICONIP | Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach. | Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari |