Seungjin Choi

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 68

Top Venues

Publications

Tong Min Kim, Junhyeok Son, Ji-Won Chun, Youngrong Lee, Dai-Jin Kim, In-Young Choi, Taehoon Ko, Seungjin Choi
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages. Comput. Biol. Medicine 180 (2024)
Jungtaek Kim, Seungjin Choi
BayesO: A Bayesian optimization framework in Python. J. Open Source Softw. 8 (90) (2023)
Jungtaek Kim, Seungjin Choi
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. CoRR (2022)
Jungtaek Kim, Seungjin Choi, Minsu Cho
Combinatorial Bayesian optimization with random mapping functions to convex polytopes. UAI (2022)
Yoonho Lee, Wonjae Kim, Wonpyo Park, Seungjin Choi
Discrete Infomax Codes for Supervised Representation Learning. Entropy 24 (4) (2022)
Seungjin Choi, Dohun Kim, Sanghyun Park, Joonki Paik
Point Cloud-Based Lane Detection for Optimal Local Path Planning. ICEIC (2022)
Jungtaek Kim, Seungjin Choi
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization. AISTATS (2022)
Seungjin Choi
Meta-learning: Towards Fast Adaptation in Multi-Subject EEG Classification. BCI (2021)
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
Bayesian optimization with approximate set kernels. Mach. Learn. 110 (5) (2021)
Jungtaek Kim, Seungjin Choi
On Local Optimizers of Acquisition Functions in Bayesian Optimization. ECML/PKDD (2) (2020)
Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. ICPR (2020)
Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. CoRR (2020)
Fengkai Ke, Seungjin Choi, Young Ho Kang, Keun-Ah Cheon, Sang Wan Lee
Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning. IEEE Access 8 (2020)
Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
Neural Complexity Measures. NeurIPS (2020)
Jungtaek Kim, Minsu Cho, Seungjin Choi
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope. CoRR (2020)
Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
Neural Complexity Measures. CoRR (2020)
Seungjin Choi, Seong-Joon Shim, Young-Hwan You, Jaesang Cha, Hyoung-Kyu Song
Novel MIMO Detection With Improved Complexity for Near-ML Detection in MIMO-OFDM Systems. IEEE Access 7 (2019)
Juho Lee, Lancelot F. James, Seungjin Choi, Francois Caron
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. AISTATS (2019)
Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi
MxML: Mixture of Meta-Learners for Few-Shot Classification. CoRR (2019)
Yoonho Lee, Wonjae Kim, Seungjin Choi
Discrete Infomax Codes for Meta-Learning. CoRR (2019)
Jungtaek Kim, Seungjin Choi
Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization. CoRR (2019)
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. ICML (2019)
Youngnam Kim, Seungjin Choi
Forward-Backward Generative Adversarial Networks for Anomaly Detection. ACML (2019)
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
Bayesian Optimization over Sets. CoRR (2019)
Jiwan Seo, Karam Yoo, Seungjin Choi, Yura Alex Kim, Sangyong Han
The latent learning model to derive semantic relations of words from unstructured text data in social media. Multim. Tools Appl. 78 (20) (2019)
Jungtaek Kim, Seungjin Choi
On Local Optimizers of Acquisition Functions in Bayesian Optimization. CoRR (2019)
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
Set Transformer. CoRR (2018)
Juho Lee, Lancelot F. James, Seungjin Choi, François Caron
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. CoRR (2018)
Saehoon Kim, Jungtaek Kim, Seungjin Choi
On the Optimal Bit Complexity of Circulant Binary Embedding. AAAI (2018)
Jong-Kwang Kim, Seungjin Choi, Young-Hwan You, Hyoung-Kyu Song
Selectively Iterative Detection Scheme Based on the Residual Power in MIMO-OFDM. IEICE Trans. Commun. (12) (2018)
Yoonho Lee, Seungjin Choi
Meta-Learning with Adaptive Layerwise Metric and Subspace. CoRR (2018)
Jungtaek Kim, Seungjin Choi
Clustering-Guided Gp-Ucb for Bayesian Optimization. ICASSP (2018)
Saehoon Kim, Seungjin Choi
Sparse Circulant Binary Embedding: An Asymptotic Analysis. IEEE Signal Process. Lett. 25 (3) (2018)
Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, Seungjin Choi
Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks. ICASSP (2018)
Yoonho Lee, Seungjin Choi
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace. ICML (2018)
Jiwan Seo, Seungjin Choi, Yura Alex Kim, Karam Yoo, Sangyong Han
Word embedding-based relation modeling in a heterogeneous information network. Multim. Tools Appl. 77 (14) (2018)
Seungjin Choi, Jiwan Seo, Mucheol Kim, Sunghyun Kang, Sangyong Han
Chrological Big data Curation: A Study on the Enhanced Information Retrieval System. IEEE Access 5 (2017)
Saehoon Kim, Seungjin Choi
Binary Embedding with Additive Homogeneous Kernels. AAAI (2017)
Jungtaek Kim, Saehoon Kim, Seungjin Choi
Learning to Transfer Initializations for Bayesian Hyperparameter Optimization. CoRR (2017)
Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi
Bayesian inference on random simple graphs with power law degree distributions. ICML (2017)
Jong-Kwang Kim, Seungjin Choi, Jae-Hyun Ro, Hyoung-Kyu Song
-Best BFTS Signal Detection Algorithm Based on the Channel Condition for MIMO-OFDM Signal Detector. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (10) (2017)
Seungjin Choi, Jong-Kwang Kim, Hyoung-Kyu Song
Lattice-Reduction Aided Signal Detection Method with Switching Detection Based on Channel Condition. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (11) (2017)
Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CVPR (2016)
Sojeong Ha, Seungjin Choi
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors. IJCNN (2016)
Suwon Suh, Daniel H. Chae, Hyon-Goo Kang, Seungjin Choi
Echo-state conditional variational autoencoder for anomaly detection. IJCNN (2016)
Suwon Suh, Seungjin Choi
Two-dimensional correlated topic models. ICASSP (2016)
Seung-won Hwang, Saehoon Kim, Yuxiong He, Sameh Elnikety, Seungjin Choi
Prediction and Predictability for Search Query Acceleration. ACM Trans. Web 10 (3) (2016)
Jiwan Seo, Seungjin Choi, Mucheol Kim, Sangyong Han
A robust ensemble-based trust and reputation system against different types of intruder attacks. Int. J. Comput. Math. 93 (2) (2016)
Juho Lee, Lancelot F. James, Seungjin Choi
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models. NIPS (2016)
Bonkon Koo, Hanh Vu, Hwan-Gon Lee, Hyung-Cheul Shin, Seungjin Choi
Motor imagery detection with wavelet analysis for NIRS-based BCI. BCI (2016)
Hanh Vu, Bonkon Koo, Seungjin Choi
Frequency detection for SSVEP-based BCI using deep canonical correlation analysis. SMC (2016)
Suwon Suh, Seungjin Choi
Gaussian Copula Variational Autoencoders for Mixed Data. CoRR (2016)
Bonkon Koo, Seungjin Choi
SSVEP response on Oculus Rift. BCI (2015)
Saehoon Kim, Seungjin Choi
Bilinear Random Projections for Locality-Sensitive Binary Codes. CoRR (2015)
Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, Seungjin Choi
Immersive BCI with SSVEP in VR head-mounted display. EMBC (2015)
Juho Lee, Seungjin Choi
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. CoRR (2015)
Juho Lee, Seungjin Choi
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. CoRR (2015)
Juho Lee, Seungjin Choi
Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models. NIPS (2015)
Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi
Regularized discriminant embedding for visual descriptor learning. Neurocomputing 149 (2015)
Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, Seungjin Choi
Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search. WSDM (2015)
Saehoon Kim, Xin-Jing Wang, Lei Zhang, Seungjin Choi
Near Duplicate Image Discovery on One Billion Images. WACV (2015)
Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CoRR (2015)
Juho Lee, Seungjin Choi
Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility. AISTATS (2015)
Saehoon Kim, Seungjin Choi
Bilinear random projections for locality-sensitive binary codes. CVPR (2015)
Seungjin Choi
Multi-subject EEG classification: Bayesian nonparametrics and multi-task learning. BCI (2015)
Sojeong Ha, Jeong-Min Yun, Seungjin Choi
Multi-modal Convolutional Neural Networks for Activity Recognition. SMC (2015)
Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
Subspace clustering of data streams: new algorithms and effective evaluation measures. J. Intell. Inf. Syst. 45 (3) (2015)
Huong Thi Pham, Seungjin Choi
Pseudo-Supervised Latent Dirichlet Allocation for Image Annotation. SMC (2015)
Hien Duy Pham, Kye-Hyeon Kim, Seungjin Choi
Semi-supervised Learning on Bi-relational Graph for Image Annotation. ICPR (2014)
Thu Hoai Tran, Seungjin Choi
Supervised multi-modal topic model for image annotation. ICASSP (2014)
Sunho Park, TaeHyun Hwang, Seungjin Choi
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. SDM (2014)
Hyohyeong Kang, Seungjin Choi
Bayesian common spatial patterns for multi-subject EEG classification. Neural Networks 57 (2014)
Kye-Hyeon Kim, Seungjin Choi
Label propagation through minimax paths for scalable semi-supervised learning. Pattern Recognit. Lett. 45 (2014)
Yong-Deok Kim, Seungjin Choi
Scalable Variational Bayesian Matrix Factorization with Side Information. AISTATS (2014)
Yongsoo Kim, Seungmin Han, Seungjin Choi, Daehee Hwang
Inference of dynamic networks using time-course data. Briefings Bioinform. 15 (2) (2014)
Bonkon Koo, Yunjun Nam, Seungjin Choi
A hybrid EOG-P300 BCI with dual monitors. BCI (2014)
Eunsil Gim, Sojeong Ha, Seungjin Choi
Dependent stotchastic blockmodels. IJCNN (2014)
Yongsoo Kim, Jin-Hyeok Jang, Seungjin Choi, Daehee Hwang
TEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information. Bioinform. 30 (17) (2014)
Yunjun Nam, Bonkon Koo, Andrzej Cichocki, Seungjin Choi
GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control. IEEE Trans. Biomed. Eng. 61 (2) (2014)
Yoonseop Kang, Taewoong Jang, Seungjin Choi
Learning features with structure-adapting multi-view exponential family harmoniums. IJCNN (2014)
Yong-Deok Kim, Seungjin Choi
Bayesian binomial mixture model for collaborative prediction with non-random missing data. RecSys (2014)
Yunjun Nam, Bonkon Koo, Seungjin Choi
Spatial patterns of SSSEP under the selective attention to tactile stimuli in each hand. BCI (2014)
Seungjin Choi
POSTECH BCIs with machine learning. BCI (2014)
Juho Lee, Seungjin Choi
Incremental Tree-Based Inference with Dependent Normalized Random Measures. AISTATS (2014)
Sunho Park, TaeHyun Hwang, Seungjin Choi
Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. CoRR (2014)
Yunjun Nam, Bonkon Koo, Seungjin Choi
Language-related glossokinetic potentials on scalp. SMC (2014)
Hyohyeong Kang, Seungjin Choi
Bayesian common spatial patterns. BCI (2013)
Saehoon Kim, Seungjin Choi
Multi-view anchor graph hashing. ICASSP (2013)
Yoonseop Kang, Kang-Tae Lee, Jihyun Eun, Sung Eun Park, Seungjin Choi
Stacked Denoising Autoencoders for Face Pose Normalization. ICONIP (3) (2013)
Kye-Hyeon Kim, Seungjin Choi
Walking on Minimax Paths for k-NN Search. AAAI (2013)
Sunho Park, Seungjin Choi
Max-margin embedding for multi-label learning. Pattern Recognit. Lett. 34 (3) (2013)
Sunho Park, Seungjin Choi
Online multi-label learning with accelerated nonsmooth stochastic gradient descent. ICASSP (2013)
Yong-Deok Kim, Seungjin Choi
Variational Bayesian View of Weighted Trace Norm Regularization for Matrix Factorization. IEEE Signal Process. Lett. 20 (3) (2013)
Yoonseop Kang, Seungjin Choi
Learning Features with Structure-Adapting Multi-view Exponential Family Harmoniums ICLR (Workshop Poster) (2013)
Yunjun Nam, Andrzej Cichocki, Seungjin Choi
Common spatial patterns for steady-state somatosensory evoked potentials. EMBC (2013)
Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
Effective Evaluation Measures for Subspace Clustering of Data Streams. PAKDD Workshops (2013)
Kye-Hyeon Kim, Cha Zhang, Zhengyou Zhang, Seungjin Choi
Robust part-based face matching with multiple templates. FG (2013)
Hyohyeong Kang, Seungjin Choi
Bayesian multi-subject common spatial patterns with Indian Buffet process priors. ICASSP (2013)
Jiwan Seo, Seungjin Choi, Mucheol Kim, Sangyong Han
The Method of Personalized Recommendation with Ensemble Combination. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 4 (4) (2013)
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
Parameter Learning for Alpha Integration. Neural Comput. 25 (6) (2013)

Seungjin Choi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Seungjin Choi