World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
19493
World Ranking
6651
National Ranking
56

Overview

Seungjin Choi is affiliated with Pohang University of Science and Technology in South Korea, specializing in computer science with a focus on artificial intelligence and related subfields. Their research portfolio includes work in cognitive neuroscience, computational theory and mathematics, signal processing, and automotive engineering.

The primary themes of Choi's research encompass Gaussian processes and Bayesian inference, advanced multi-objective optimization algorithms, EEG and brain-computer interfaces, blind source separation techniques, neural dynamics and brain function, autonomous vehicle technology and safety, and remote sensing and LiDAR applications.

Recent publications authored or coauthored by Choi include:

  • Point Cloud-Based Lane Detection for Optimal Local Path Planning, 2022, 2022 International Conference on Electronics, Information, and Communication (ICEIC)
  • Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization, 2022, arXiv (Cornell University)
  • Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes, 2020, arXiv (Cornell University)
  • 50 Patient Characteristics and Outcomes from a Pulmonary Nodule Surveillance Service, 2024, Lung Cancer

Seungjin Choi frequently collaborates with coauthors Jungtaek Kim, Hyohyeong Kang, Dohun Kim, Sanghyun Park, and Joonki Paik. Collaboration patterns show repeated partnerships especially with Jungtaek Kim and Hyohyeong Kang.

The venues where Choi's work has appeared include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 International Conference on Electronics, Information, and Communication (ICEIC)
  • Lung Cancer
  • ACS Omega

Best Publications

  • Algorithms for orthogonal nonnegative matrix factorization

    Seungjin Choi

  • Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

    Juho Lee;Yoonho Lee;Jungtaek Kim;Adam R. Kosiorek

  • Flexible Independent Component Analysis

    Seungjin Choi;Andrzej Cichocki;Shun-Ichi Amari

  • Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors

    Sojeong Ha;Seungjin Choi

  • Nonnegative Tucker Decomposition

    Yong-Deok Kim;Seungjin Choi

  • Composite Common Spatial Pattern for Subject-to-Subject Transfer

    Hyohyeong Kang;Yunjun Nam;Seungjin Choi

  • Semi-Supervised Nonnegative Matrix Factorization

    Hyekyoung Lee;Jiho Yoo;Seungjin Choi

  • Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace

    Yoonho Lee;Seungjin Choi

  • Robust kernel Isomap

    Heeyoul Choi;Seungjin Choi

  • Multi-modal Convolutional Neural Networks for Activity Recognition

    Sojeong Ha;Jeong-Min Yun;Seungjin Choi

  • Non-negative matrix factorization with α-divergence

    Andrzej Cichocki;Hyekyoung Lee;Yong-Deok Kim;Seungjin Choi

  • Blind separation of nonstationary sources in noisy mixtures

    S. Choi;A. Cichocki

  • PCA+HMM+SVM for EEG pattern classification

    Hyekyung Lee;Seungjin Choi

  • Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

    A. Cichocki;Y. Washizawa;T. Rutkowski;H. Bakardjian

  • Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds

    Jiho Yoo;Seungjin Choi

  • Two-Dimensional Canonical Correlation Analysis

    Sun Ho Lee;Seungjin Choi

  • A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery

    Bonkon Koo;Hwan-Gon Lee;Yunjun Nam;Hyohyeong Kang

  • Second Order Nonstationary Source Separation

    Seungjin Choi;Andrzej Cichocki;Adel Beloucharni

  • Nonnegative Tensor Factorization for Continuous EEG Classification

    Hye-Kyoung Lee;Yong-Deok Kim;Andrzej Cichocki;Seung-Jin Choi

  • Skin Detection -a Short Tutorial

    John Daugman;Stephanie Schuckers;Karthik Nandakumar;Ryan N. Rakvic

Frequent Co-Authors

Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Shun-ichi Amari
Shun-ichi Amari RIKEN Center for Brain Science
Lei Zhang
Lei Zhang International Digital Economy Academy
Daehee Hwang
Daehee Hwang Seoul National University
Zoubin Ghahramani
Zoubin Ghahramani University of Cambridge
Yee Whye Teh
Yee Whye Teh University of Oxford
Bohyung Han
Bohyung Han Seoul National University
Seungmoon Choi
Seungmoon Choi Pohang University of Science and Technology
Patrick C. M. Wong
Patrick C. M. Wong Chinese University of Hong Kong

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