Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules. - Byoung-Tak Zhang; Yung Taek Kim (COLING, 1990)

Lernen durch Genetisch-Neuronale Evolution: Aktive Anpassung an unbekannte Umgebungen mit selbstentwickelten parallelen Netzwerken. - Byoung-Tak Zhang (Infix Verlag, St. Augustin, Germany, 1992)

Genetic Programming of Minimal Neural Nets Using Occam's Razor. - Byoung-Tak Zhang; Heinz Mühlenbein (ICGA, 1993)

Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor. - Byoung-Tak Zhang; Heinz Mühlenbein (Complex Syst., 1993)

Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming. - Byoung-Tak Zhang; Heinz Mühlenbein (International Conference on Evolutionary Computation, 1994)

Effects of Occam's Razor in Evolving Sigma-Pi Neural Nets. - Byoung-Tak Zhang (PPSN, 1994)

Accelerated Learning by Active Example Selection. - Byoung-Tak Zhang (Int. J. Neural Syst., 1994)

Balancing Accuracy and Parsimony in Genetic Programming. - Byoung-Tak Zhang; Heinz Mühlenbein (Evol. Comput., 1995)

An evolutionary method for active learning of mobile robot path planning. - Byoung-Tak Zhang; Sung-Hoon Kim (CIRA, 1997)

Using a genetic algorithm for communication link partitioning. - Ju-Hyun Lee; Yanghee Choi; Byoung-Tak Zhang; Chongsang Kim (ICEC, 1997)

Evolutionary Induction of Sparse Neural Trees. - Byoung-Tak Zhang; Peter Ohm; Heinz Mühlenbein (Evol. Comput., 1997)

Active Data Partitioning for Building Mixture Models. - Suk-Joon Kim; Byoung-Tak Zhang (ICONIP, 1998)

Genetic Programming with Active Data Selection. - Byoung-Tak Zhang; Dong-Yeon Cho (SEAL, 1998)

A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task. - Dong-Ho Shin; Byoung-Tak Zhang (TREC, 1998)

Effects of selection schemes in genetic programming for time series prediction. - Jung-Jib Kim; Byoung-Tak Zhang (CEC, 1999)

Solving traveling salesman problems using molecular programming. - Soo-Yong Shin; Byoung-Tak Zhang; Sung-Soo Jun (CEC, 1999)

A Bayesian framework for evolutionary computation. - Byoung-Tak Zhang (CEC, 1999)

Time series prediction using committee machines of evolutionary neural trees. - Byoung-Tak Zhang; Je-Gun Joung (CEC, 1999)

Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Heng-Sheng Stock Index. - Shu-Heng Chen; Hung-Shuo Wang; Byoung-Tak Zhang (IC-AI, 1999)

Combining locally trained neural networks by introducing a reject class. - Suk-Joon Kim; Byoung-Tak Zhang (IJCNN, 1999)

Temporal pattern recognition using a spiking neural network with delays. - Jeong-woo Sohn; Byoung-Tak Zhang; Bong-Kiun Kaang (IJCNN, 1999)

Compound noun decomposition using a Markov model. - Jongwoo Lee; Byoung-Tak Zhang; Yung Taek Kim (MTSummit, 1999)

SCAI TREC-8 Experiments. - Dong-Ho Shin; Yu-Hwan Kim; Sun Kim; Jae-Hong Eom; Hyung-Joo Shin; Byoung-Tak Zhang (TREC, 1999)

Word Sense Disambiguation by Learning from Unlabeled Data. - Seong-Bae Park; Byoung-Tak Zhang; Yung Taek Kim (ACL, 2000)

Learning user's preferences by analyzing Web-browsing behaviors. - Young-Woo Seo; Byoung-Tak Zhang (Agents, 2000)

Bayesian evolutionary algorithms for evolving neural tree models of time series data. - Dong-Yeon Cho; Byoung-Tak Zhang (CEC, 2000)

Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains. - Byoung-Tak Zhang; Gerhard Paass; Heinz Mühlenbein (CEC, 2000)

Genetic Programming of Process Decomposition Strategies for Evolvable Hardware. - Ho-Sik Seok; Kwang-Ju Lee; Byoung-Tak Zhang; Dong-Wook Lee; Kwee-Bo Sim (Evolvable Hardware, 2000)

Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model. - Sung Dong Kim; Byoung-Tak Zhang; Yung Tack Kim (EMNLP, 2000)

A reinforcement learning agent for personalized information filtering. - Young-Woo Seo; Byoung-Tak Zhang (IUI, 2000)

Building Optimal Committees of Genetic Programs. - Byoung-Tak Zhang; Je-Gun Joung (PPSN, 2000)

Bayesian Evolutionary Optimization Using Helmholtz Machines. - Byoung-Tak Zhang; Soo-Yong Shin (PPSN, 2000)

Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags. - Sun Kim; Byoung-Tak Zhang (PRICAI Workshop on Text and Web Mining, 2000)

Text filtering by boosting naive bayes classifiers. - Yu-Hwan Kim; Shang-Yoon Hahn; Byoung-Tak Zhang (SIGIR, 2000)

Behavior evolution of autonomous mobile robot using genetic programming based on evolvable hardware. - Dong-Wook Lee; Chang-Bong Ban; Kwee-Bo Sim; Ho-Sik Seok; Kwang-Ju Lee; Byoung-Tak Zhang (SMC, 2000)

Evolving complex group behaviors using genetic programming with fitness switching. - Byoung-Tak Zhang; Dong-Yeon Cho (Artif. Life Robotics, 2000)

Bayesian Methods for Efficient Genetic Programming. - Byoung-Tak Zhang (Genet. Program. Evolvable Mach., 2000)

Continuous estimation of distribution algorithms with probabilistic principal component analysis. - Dong-Yeon Cho; Byoung-Tak Zhang (CEC, 2001)

Actively searching for committees of RBF networks using Bayesian evolutionary computation. - Je-Gun Joung; Byoung-Tak Zhang (CEC, 2001)

Evolutionary learning of Web-document structure for information retrieval. - Sun Kim; Byoung-Tak Zhang (CEC, 2001)

Convergence properties of Bayesian evolutionary algorithms with population size greater than 1. - Si-Eun Lee; Byoung-Tak Zhang; Arnaud Doucet (CEC, 2001)

Evolutionary calibration of sensors using genetic programming on evolvable hardware. - Ho-Sik Seok; Byoung-Tak Zhang (CEC, 2001)

Bayesian evolutionary algorithms for continuous function optimization. - Soo-Yong Shin; Byoung-Tak Zhang (CEC, 2001)

Personalized Web-Document Filtering Using Reinforcement Learning. - Byoung-Tak Zhang; Young-Woo Seo (Appl. Artif. Intell., 2001)

System identification using evolutionary Markov chain Monte Carlo. - Byoung-Tak Zhang; Dong-Yeon Cho (J. Syst. Archit., 2001)

Collocation Dictionary Optimization Using WordNet and k-Nearest Neighbor Learning. - Yuseop Kim; Byoung-Tak Zhang; Yung Taek Kim (Mach. Transl., 2001)

Learning-based Intrasentence Segmentation for Efficient Translation of Long Sentences. - Sung Dong Kim; Byoung-Tak Zhang; Yung Taek Kim (Mach. Transl., 2001)

Evolutionary optimization by distribution estimation with mixtures of factor analyzers. - Dong-Yeon Cho; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2002)

Evolutionary sequence generation for reliable DNA computing. - Soo-Yong Shin; Dongmin Kim; In-Hee Lee 001; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2002)

A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation. - Yuseop Kim; Jeong Ho Chang; Byoung-Tak Zhang (COLING, 2002)

NACST/Seq: A Sequence Design System with Multiobjective Optimization. - Dongmin Kim; Soo-Yong Shin; In-Hee Lee 001; Byoung-Tak Zhang (DNA, 2002)

DNA Implementation of Theorem Proving with Resolution Refutation in Propositional Logic. - In-Hee Lee 001; Ji-Yoon Park; Hae-Man Jang; Young-Gyu Chai; Byoung-Tak Zhang (DNA, 2002)

Temperature Gradient-Based DNA Computing for Graph Problems with Weighted Edges. - Ji Youn Lee; Soo-Yong Shin; Sirk June Augh; Tai Hyun Park; Byoung-Tak Zhang (DNA, 2002)

Version Space Learning with DNA Molecules. - Hee-Woong Lim; Ji-Eun Yun; Hae-Man Jang; Young-Gyu Chai; Suk-In Yoo; Byoung-Tak Zhang (DNA, 2002)

Stock Trading System Using Reinforcement Learning with Cooperative Agents. - Jangmin O; Jae Won Lee; Byoung-Tak Zhang (ICML, 2002)

A Boosted Maximum Entropy Model for Learning Text Chunking. - Seong-Bae Park; Byoung-Tak Zhang (ICML, 2002)

Topic Extraction from Text Documents Using Multiple-Cause Networks. - Jeong Ho Chang; Jae Won Lee; Yuseop Kim; Byoung-Tak Zhang (PRICAI, 2002)

Construction of Large-Scale Bayesian Networks by Local to Global Search. - Kyu Baek Hwang; Jae Won Lee; Seung-Woo Chung; Byoung-Tak Zhang (PRICAI, 2002)

Target Word Selection Using WordNet and Data-Driven Models in Machine Translation. - Yuseop Kim; Jeong Ho Chang; Byoung-Tak Zhang (PRICAI, 2002)

A Bayesian evolutionary approach to the design and learning of heterogeneous neural trees. - Byoung-Tak Zhang (Integr. Comput. Aided Eng., 2002)

Behavior Evolution of Autonomous Mobile Robot(AMR) using Genetic Programming Based on Evolvable Hardware. - Kwee-Bo Sim; Dong-Wook Lee; Byoung-Tak Zhang (Int. J. Fuzzy Log. Intell. Syst., 2002)

Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning. - Seong-Bae Park; Byoung-Tak Zhang (ACL, 2003)

Molecular immunocomputing with application to alphabetical pattern recognition mimics the characterization of ABO blood type. - Su Dong Kim; Ki-Roo Shin; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2003)

DNA sequence optimization using constrained multi-objective evolutionary algorithm. - In-Hee Lee 001; Soo-Yong Shin; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2003)

Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost. - Seong-Bae Park; Sohyun Hwang; Byoung-Tak Zhang (DEXA, 2003)

RCA-Based Detection Methods for Resolution Refutation. - In-Hee Lee 001; Ji-Yoon Park; Young-Gyu Chai; Byoung-Tak Zhang (DNA, 2003)

A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning. - Hee-Woong Lim; Hae-Man Jang; Sung-Mo Ha; Young-Gyu Chai; Suk-In Yoo; Byoung-Tak Zhang (DNA, 2003)

Classification of the Risk Types of Human Papillomavirus by Decision Trees. - Seong-Bae Park; Sohyun Hwang; Byoung-Tak Zhang (IDEAL, 2003)

Automatic Webpage Classification Enhanced by Unlabeled Data. - Seong-Bae Park; Byoung-Tak Zhang (IDEAL, 2003)

An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition. - Yuseop Kim; Jeong Ho Chang; Byoung-Tak Zhang (PAKDD, 2003)

Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information. - Seong-Bae Park; Byoung-Tak Zhang (PAKDD, 2003)

Genetic Mining of HTML Structures for Effective Web-Document Retrieval. - Sun Kim; Byoung-Tak Zhang (Appl. Intell., 2003)

Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data. - Seong-Bae Park; Byoung-Tak Zhang; Yung Taek Kim (Appl. Intell., 2003)

Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling. - Byoung-Tak Zhang; Jinsan Yang; Sung Wook Chi (Mach. Learn., 2003)

PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining. - Jae-Hong Eom; Byoung-Tak Zhang (AIMSA, 2004)

Korean Compound Noun Decomposition Using Syllabic Information Only. - Seong-Bae Park; Jeong Ho Chang; Byoung-Tak Zhang (CICLing, 2004)

BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform. - Jae-Hong Eom; Byoung-Tak Zhang (CIT, 2004)

Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions. - Jae-Hong Eom; Byoung-Tak Zhang (CIT, 2004)

Efficient Initial Pool Generation for Weighted Graph Problems Using Parallel Overlap Assembly. - Ji Youn Lee; Hee-Woong Lim; Suk-In Yoo; Byoung-Tak Zhang; Tai Hyun Park (DNA, 2004)

A Bayesian Algorithm for In Vitro Molecular Evolution of Pattern Classifiers. - Byoung-Tak Zhang; Ha-Young Jang (DNA, 2004)

Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework. - Jangmin O; Jae Won Lee; Jongwoo Lee; Byoung-Tak Zhang (ECML, 2004)

Two-Step Genetic Programming for Optimization of RNA Common-Structure. - Jin-Wu Nam; Je-Gun Joung; Y. S. Ahn; Byoung-Tak Zhang (EvoWorkshops, 2004)

Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV). - Jae-Hong Eom; Seong-Bae Park; Byoung-Tak Zhang (ICONIP, 2004)

Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. - Jae-Hong Eom; Jeong Ho Chang; Byoung-Tak Zhang (IDEAL, 2004)

PromSearch: A Hybrid Approach to Human Core-Promoter Prediction. - Byoung-Hee Kim; Seong-Bae Park; Byoung-Tak Zhang (IDEAL, 2004)

Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks. - Jangmin O; Jae Won Lee; Sung-Bae Park; Byoung-Tak Zhang (IDEAL, 2004)

Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model. - Dong-Yeon Cho; Byoung-Tak Zhang (PPSN, 2004)

Searching Transcriptional Modules Using Evolutionary Algorithms. - Je-Gun Joung; Sok June Oh; Byoung-Tak Zhang (PPSN, 2004)

Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines. - Je-Gun Joung; Sok June Oh; Byoung-Tak Zhang (PRICAI, 2004)

Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection. - In-Hee Lee 001; Sun Kim; Byoung-Tak Zhang (PRICAI, 2004)

Computational Methods for Identification of Human microRNA Precursors. - Jin-Wu Nam; Wha-Jin Lee; Byoung-Tak Zhang (PRICAI, 2004)

Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information. - Seong-Bae Park; Byoung-Tak Zhang (Inf. Process. Manag., 2004)

Development, evaluation and benchmarking of simulation software for biomolecule-based computing. - Derrel Blain; Max H. Garzon; Soo-Yong Shin; Byoung-Tak Zhang; Satoshi Kashiwamura; Masahito Yamamoto; Atsushi Kameda; Azuma Ohuchi (Nat. Comput., 2004)

A Kernel Method for MicroRNA Target Prediction Using Sensible Data and Position-Based Features. - Sung-Kyu Kim; Jin-Wu Nam; Wha-Jin Lee; Byoung-Tak Zhang (CIBCB, 2005)

Molecular Learning of wDNF Formulae. - Byoung-Tak Zhang; Ha-Young Jang (DNA, 2005)

Molecular programming: evolving genetic programs in a test tube. - Byoung-Tak Zhang; Ha-Young Jang (GECCO, 2005)

Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule. - Jae-Hong Eom; Byoung-Tak Zhang (ICANN (2), 2005)

Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel. - Jae-Hong Eom; Byoung-Tak Zhang (KES (2), 2005)

CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays. - Sek Won Kong; Kyu Baek Hwang; Richard D. Kim; Byoung-Tak Zhang; Steven A. Greenberg; Isaac S. Kohane; Peter J. Park (Bioinform., 2005)

Dynamic Asset Allocation for Stock Trading Optimized by Evolutionary Computation. - Jangmin O; Jongwoo Lee; Jae Won Lee; Byoung-Tak Zhang (IEICE Trans. Inf. Syst., 2005)

Bayesian Network Learning with Feature Abstraction for Gene-drug Dependency Analysis. - Jeong Ho Chang; Kyu Baek Hwang; Sok June Oh; Byoung-Tak Zhang (J. Bioinform. Comput. Biol., 2005)

Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing. - Soo-Yong Shin; In-Hee Lee 001; Dongmin Kim; Byoung-Tak Zhang (IEEE Trans. Evol. Comput., 2005)

Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets. - Kyu Baek Hwang; Byoung-Tak Zhang (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Combining Information-Based Supervised and Unsupervised Feature Selection. - Sang-Kyun Lee; Seung-Joon Yi; Byoung-Tak Zhang (Feature Extraction, 2006)

Text Classifiers Evolved on a Simulated DNA Computer. - Sun Kim; Min-Oh Heo; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2006)

DNA Hypernetworks for Information Storage and Retrieval. - Byoung-Tak Zhang; Joo-Kyung Kim (DNA, 2006)

Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks. - Kee-Young Kim; Dong-Yeon Cho; Byoung-Tak Zhang (EvoWorkshops, 2006)

Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines. - Sun Kim; Byoung-Tak Zhang (EvoWorkshops, 2006)

Microarray Probe Design Using epsilon-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria. - Soo-Yong Shin; In-Hee Lee 001; Byoung-Tak Zhang (EvoWorkshops, 2006)

Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining. - Jae-Hong Eom; Byoung-Tak Zhang (ICONIP (3), 2006)

Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis. - Kyu Baek Hwang; Byoung-Hee Kim; Byoung-Tak Zhang (ICONIP (1), 2006)

Mining Protein Interaction from Biomedical Literature with Relation Kernel Method. - Jae-Hong Eom; Byoung-Tak Zhang (ISNN (2), 2006)

A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. - Jae-Hong Eom; Sun Kim; Seong-Hwan Kim 006; Byoung-Tak Zhang (KDLL, 2006)

Identification of biochemical networks by S-tree based genetic programming. - Dong-Yeon Cho; Kwang-Hyun Cho; Byoung-Tak Zhang (Bioinform., 2006)

Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation. - Je-Gun Joung; Dongho Shin; Rho Hyun Seong; Byoung-Tak Zhang (Bioinform., 2006)

miTarget: microRNA target gene prediction using a support vector machine. - Sung-Kyu Kim; Jin-Wu Nam; Je-Keun Rhee; Wha-Jin Lee; Byoung-Tak Zhang (BMC Bioinform., 2006)

Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks. - Sok June Oh; Je-Gun Joung; Jeong Ho Chang; Byoung-Tak Zhang (BMC Bioinform., 2006)

Protein sequence-based risk classification for human papillomaviruses. - Je-Gun Joung; Sok June Oh; Byoung-Tak Zhang (Comput. Biol. Medicine, 2006)

Adaptive stock trading with dynamic asset allocation using reinforcement learning. - Jangmin O; Jongwoo Lee; Jae Won Lee; Byoung-Tak Zhang (Inf. Sci., 2006)

ProMiR II: a web server for the probabilistic prediction of clustered, nonclustered, conserved and nonconserved microRNAs. - Jin-Wu Nam; Jinhan Kim; Sung-Kyu Kim; Byoung-Tak Zhang (Nucleic Acids Res., 2006)

Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm. - Chan-Hoon Park; Soo-Jin Kim; Sun Kim; Dong-Yeon Cho; Byoung-Tak Zhang (BIBE, 2007)

Evolving hypernetwork classifiers for microRNA expression profile analysis. - Sun Kim; Soo-Jin Kim; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2007)

Evolving hypernetworks for pattern classification. - Joo-Kyung Kim; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2007)

Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm. - In-Hee Lee 001; Soo-Yong Shin; Byoung-Tak Zhang (EMO, 2007)

Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms. - Jin-Wu Nam; In-Hee Lee 001; Kyu Baek Hwang; Seong-Bae Park; Byoung-Tak Zhang (EvoBIO, 2007)

Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency. - Byoung-Tak Zhang (FOCI, 2007)

Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. - JungWoo Ha 001; Jae-Hong Eom; Sung-Chun Kim; Byoung-Tak Zhang (GECCO (Companion), 2007)

Discovery of microRNA-mRNA modules via population-based probabilistic learning. - Je-Gun Joung; Kyu Baek Hwang; Jin-Wu Nam; Soo-Jin Kim; Byoung-Tak Zhang (Bioinform., 2007)

A Global Minimization Algorithm Based on a Geodesic of a Lagrangian Formulation of Newtonian Dynamics. - Joon Shik Kim; Jong Chan Kim; Jangmin O; Byoung-Tak Zhang (Neural Process. Lett., 2007)

Cognitive learning and the multimodal memory game: Toward human-level machine learning. - Byoung-Tak Zhang (IJCNN, 2008)

An evolutionary Monte Carlo algorithm for predicting DNA hybridization. - Joon Shik Kim; Ji-Woo Lee; Yung-Kyun Noh; Ji-Yoon Park; Dong-Yoon Lee; Kyung-Ae Yang; Young-Gyu Chai; Jong Chan Kim; Byoung-Tak Zhang (Biosyst., 2008)

Hypernetworks: A Molecular Evolutionary Architecture for Cognitive Learning and Memory. - Byoung-Tak Zhang (IEEE Comput. Intell. Mag., 2008)

AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction. - Jae-Hong Eom; Sung-Chun Kim; Byoung-Tak Zhang (Expert Syst. Appl., 2008)

PIE: an online prediction system for protein-protein interactions from text. - Sun Kim; Soo-Yong Shin; In-Hee Lee 001; Soo-Jin Kim; Ram Sriram; Byoung-Tak Zhang (Nucleic Acids Res., 2008)

Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers. - Byoung-Tak Zhang (AAAI Spring Symposium: Agents that Learn from Human Teachers, 2009)

Dynamic and Static Influence Models on Starbucks Networks. - Minkyoung Kim; Byoung-Tak Zhang; June-Sup Lee (ASONAM, 2009)

AESNB: Active Example Selection with Naive Bayes Classifier for Learning from Imbalanced Biomedical Data. - Min Su Lee; Je-Keun Rhee; Byoung-Hee Kim; Byoung-Tak Zhang (BIBE, 2009)

Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data. - Min Su Lee; Sangyoon Oh 001; Byoung-Tak Zhang (BIBM, 2009)

Social Influence Models Based on Starbucks Networks. - Minkyoung Kim; Byoung-Tak Zhang; June-Sup Lee (CASoN, 2009)

Evolving hypernetwork models of binary time series for forecasting price movements on stock markets. - Elena Bautu; Sun Kim; Andrei Bautu; Henri Luchian; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2009)

Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks. - JungWoo Ha 001; Joon Hwan Jang; Do-Hyung Kang; Wi Hoon Jung; Jun Soo Kwon; Byoung-Tak Zhang (FUZZ-IEEE, 2009)

Evolutionary hypernetworks for learning to generate music from examples. - Hyun-Woo Kim; Byoung-Hee Kim; Byoung-Tak Zhang (FUZZ-IEEE, 2009)

Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. - Jakramate Bootkrajang; Sun Kim; Byoung-Tak Zhang (GECCO, 2009)

Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures. - Sun Kim; Jeongmi Kim; Byoung-Tak Zhang (Comput. Biol. Medicine, 2009)

EvoOligo: Oligonucleotide Probe Design With Multiobjective Evolutionary Algorithms. - Soo-Yong Shin; In-Hee Lee 001; Young-Min Cho; Kyung-Ae Yang; Byoung-Tak Zhang (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Online Learning of Uneven Terrain for Humanoid Bipedal Walking. - Seung-Joon Yi; Byoung-Tak Zhang; Daniel D. Lee (AAAI, 2010)

Subjective Document Classification Using Network Analysis. - Minkyoung Kim; Byoung-Tak Zhang; June-Sup Lee (ASONAM, 2010)

Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules. - Soo-Jin Kim; JungWoo Ha 001; Bado Lee; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2010)

MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory. - Umer Fareed; Byoung-Tak Zhang (PKAW, 2010)

Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval. - JungWoo Ha 001; Byoung-Hee Kim; Bado Lee; Byoung-Tak Zhang (PRICAI, 2010)

Visual Query Expansion via Incremental Hypernetwork Models of Image and Text. - Min-Oh Heo; Myunggu Kang; Byoung-Tak Zhang (PRICAI, 2010)

In vitro molecular pattern classification via DNA-based weighted-sum operation. - Hee-Woong Lim; Seung Hwan Lee; Kyung-Ae Yang; Ji Youn Lee; Suk-In Yoo; Tai Hyun Park; Byoung-Tak Zhang (Biosyst., 2010)

Fluid Dynamics Models for Low Rank Discriminant Analysis. - Yung-Kyun Noh; Byoung-Tak Zhang; Daniel D. Lee (AISTATS, 2010)

Mutual information-based evolution of hypernetworks for brain data analysis. - Eun-Sol Kim; JungWoo Ha 001; Wi Hoon Jung; Joon Hwan Jang; Jun Soo Kwon; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2011)

A molecular evolutionary algorithm for learning hypernetworks on simulated DNA computers. - Ji-Hoon Lee; Bado Lee; Joon Shik Kim; Russell J. Deaton; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2011)

Evolving a population code for multimodal concept learning. - Bado Lee; Ho-Sik Seok; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2011)

Online learning of a full body push recovery controller for omnidirectional walking. - Seung-Joon Yi; Byoung-Tak Zhang; Dennis W. Hong; Daniel D. Lee (Humanoids, 2011)

Learning full body push recovery control for small humanoid robots. - Seung-Joon Yi; Byoung-Tak Zhang; Dennis W. Hong; Daniel D. Lee (ICRA, 2011)

Practical bipedal walking control on uneven terrain using surface learning and push recovery. - Seung-Joon Yi; Byoung-Tak Zhang; Dennis W. Hong; Daniel D. Lee (IROS, 2011)

A DNA assembly model of sentence generation. - Ji-Hoon Lee; Seung Hwan Lee; Won-Hyong Chung; Eun-Seok Lee; Tai Hyun Park; Russell J. Deaton; Byoung-Tak Zhang (Biosyst., 2011)

Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification. - Sangyoon Oh 001; Min Su Lee; Byoung-Tak Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Feature Relevance Network-Based Transfer Learning for Indoor Location Estimation. - Ho-Sik Seok; Kyu Baek Hwang; Byoung-Tak Zhang (IEEE Trans. Syst. Man Cybern. Part C, 2011)

Evolutionary particle filtering for sequential dependency learning from video data. - Jun Hee Yoo; Ho-Sik Seok; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2012)

Hierarchical Slow-Feature Models of Gesture Conversation. - Jiseob Kim; Sooyong Jang; Eun-Sol Kim; Byoung-Tak Zhang (CogSci, 2012)

'Is this right?' or 'Is that wrong?': Evidence from Dynamic Eye-Hand Movement in Decision Making. - Eun-Sol Kim; Jiseob Kim; Thies Pfeiffer; Ipke Wachsmuth; Byoung-Tak Zhang (CogSci, 2012)

Neural Correlates of Episodic Memory Formation in Audio-Visual Pairing Tasks. - Chung-yeon Lee; Beom-Jin Lee; Joon Shik Kim; Byoung-Tak Zhang (CogSci, 2012)

Effect of Saliency-Based Masking in Scene Classification. - Tae-Suh Park; Byoung-Tak Zhang (CogSci, 2012)

Sparse Population Code Models of Word Learning in Concept Drift. - Byoung-Tak Zhang; JungWoo Ha 001; Myunggu Kang (CogSci, 2012)

Active stabilization of a humanoid robot for real-time imitation of a human operator. - Seung-Joon Yi; Stephen G. McGill; Byoung-Tak Zhang; Dennis W. Hong; Daniel D. Lee (Humanoids, 2012)

Active stabilization of a humanoid robot for impact motions with unknown reaction forces. - Seung-Joon Yi; Byoung-Tak Zhang; Dennis W. Hong; Daniel D. Lee (IROS, 2012)

Text-to-image retrieval based on incremental association via multimodal hypernetworks. - JungWoo Ha 001; Beom-Jin Lee; Byoung-Tak Zhang (SMC, 2012)

A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset. - Je-Gun Joung; Soo-Jin Kim; Soo-Yong Shin; Byoung-Tak Zhang (BMC Bioinform., 2012)

Information-Theoretic Objective Functions for Lifelong Learning. - Byoung-Tak Zhang (AAAI Spring Symposium: Lifelong Machine Learning, 2013)

Evolutionary concept learning from cartoon videos by multimodal hypernetworks. - Beom-Jin Lee; JungWoo Ha 001; Kyung-Min Kim; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2013)

Estimating Multiple Evoked Emotions from Videos. - Wonhee Choe; Hyo-Sun Chun; Junhyug Noh; Seong-Deok Lee; Byoung-Tak Zhang (CogSci, 2013)

Online Incremental Structure Learning of Sum-Product Networks. - Sang-Woo Lee 001; Min-Oh Heo; Byoung-Tak Zhang (ICONIP (2), 2013)

Online learning of low dimensional strategies for high-level push recovery in bipedal humanoid robots. - Seung-Joon Yi; Byoung-Tak Zhang; Dennis W. Hong; Daniel D. Lee (ICRA, 2013)

Non-linear molecular pattern classification using molecular beacons with multiple targets. - In-Hee Lee 001; Seung Hwan Lee; Tai Hyun Park; Byoung-Tak Zhang (Biosyst., 2013)

Biomolecular computation with molecular beacons for quantitative analysis of target nucleic acids. - Hee-Woong Lim; Seung Hwan Lee; Kyung-Ae Yang; Suk-In Yoo; Tai Hyun Park; Byoung-Tak Zhang (Biosyst., 2013)

Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning. - Soo-Jin Kim; JungWoo Ha 001; Byoung-Tak Zhang (BMC Syst. Biol., 2013)

Uncovering Response Biases in Recommendation. - Kyung-Wha Park; Byoung-Hee Kim; Tae-Suh Park; Byoung-Tak Zhang (MPREF@AAAI, 2014)

Effective EEG Connectivity Analysis of Episodic Memory Retrieval. - Chung-yeon Lee; Byoung-Tak Zhang (CogSci, 2014)

Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes. - Soo-Jin Kim; JungWoo Ha 001; Byoung-Tak Zhang (J. Biomed. Informatics, 2014)

Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos. - JungWoo Ha 001; Kyung-Min Kim; Byoung-Tak Zhang (AAAI, 2015)

Pororobot: A Deep Learning Robot That Plays Video Q&A Games. - Kyung-Min Kim; Chang-Jun Nan; Jung-Woo Ha 001; Yu-Jung Heo; Byoung-Tak Zhang (AAAI Fall Symposia, 2015)

Modeling Situated Conversations for a Child-Care Robot Using Wearable Devices. - Kyoung-Woon On; Eun-Sol Kim; Byoung-Tak Zhang (AAAI Fall Symposia, 2015)

Social Network Analysis of TV Drama Characters via Deep Concept Hierarchies. - Chang-Jun Nan; Kyung-Min Kim; Byoung-Tak Zhang (ASONAM, 2015)

Analyzing Human Behavioral Data to Interact with Restaurant Server Agents. - Eun-Sol Kim; Kyoung-Woon On; Byoung-Tak Zhang (HAI, 2015)

Deep Learning for the Web. - Kyomin Jung; Byoung-Tak Zhang; Prasenjit Mitra (WWW (Companion Volume), 2015)

Molecular learning with DNA kernel machines. - Yung-Kyun Noh; Daniel D. Lee; Kyung-Ae Yang; Cheong-Tag Kim; Byoung-Tak Zhang (Biosyst., 2015)

Dual Memory Architectures for Fast Deep Learning of Stream Data via an Online-Incremental-Transfer Strategy. - Sang-Woo Lee 001; Min-Oh Heo; Jiwon Kim; Jeonghee Kim; Byoung-Tak Zhang (CoRR, 2015)

Team THOR's Entry in the DARPA Robotics Challenge Trials 2013. - Seung-Joon Yi; Stephen G. McGill; Larry Vadakedathu; Qin He; Inyong Ha; Jeakweon Han; Hyunjong Song; Michael Rouleau; Byoung-Tak Zhang; Dennis W. Hong; Mark Yim; Daniel D. Lee (J. Field Robotics, 2015)

Preface. - Jin-Woo Jung; Hiroshi Wakuya; Byoung-Tak Zhang (Soft Comput., 2015)

Consensus Analysis and Modeling of Visual Aesthetic Perception. - Tae-Suh Park; Byoung-Tak Zhang (IEEE Trans. Affect. Comput., 2015)

DeepSchema: Automatic Schema Acquisition from Wearable Sensor Data in Restaurant Situations. - Eun-Sol Kim; Kyoung-Woon On; Byoung-Tak Zhang (IJCAI, 2016)

Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors. - Sang-Woo Lee 001; Chung-yeon Lee; Dong-Hyun Kwak; Jiwon Kim; Jeonghee Kim; Byoung-Tak Zhang (IJCAI, 2016)

Multimodal Residual Learning for Visual QA. - Jin-Hwa Kim; Sang-Woo Lee 001; Dong-Hyun Kwak; Min-Oh Heo; Jeonghee Kim; JungWoo Ha 001; Byoung-Tak Zhang (NIPS, 2016)

Humans and Machines in the Evolution of AI in Korea. - Byoung-Tak Zhang (AI Mag., 2016)

Human Body Orientation Estimation using Convolutional Neural Network. - Jinyoung Choi; Beom-Jin Lee; Byoung-Tak Zhang (CoRR, 2016)

Generating Images Part by Part with Composite Generative Adversarial Networks. - Hanock Kwak; Byoung-Tak Zhang (CoRR, 2016)

Ways of Conditioning Generative Adversarial Networks. - Hanock Kwak; Byoung-Tak Zhang (CoRR, 2016)

Special issue: First International Conference on Big Data and Smart Computing (BigComp2014). - Jinho Kim; James T. Kwok; Kazutoshi Sumiya; Byoung-Tak Zhang (Data Knowl. Eng., 2016)

Whole-Body Balancing Walk Controller for Position Controlled Humanoid Robots. - Seung-Joon Yi; Byoung-Tak Zhang; Dennis W. Hong; Daniel D. Lee (Int. J. Humanoid Robotics, 2016)

Multi-Focus Attention Network for Efficient Deep Reinforcement Learning. - Jinyoung Choi; Beom-Jin Lee; Byoung-Tak Zhang (AAAI Workshops, 2017)

Molecular Associative Memory with Spatial Auto-logistic Model for Pattern Recall. - Dharani Punithan; Byoung-Tak Zhang (BICA, 2017)

A novel method to monitor human stress states using ultra-short-term ECG spectral feature. - Bosun Hwang; Jiwoo Ryu; Cheolsoo Park; Byoung-Tak Zhang (EMBC, 2017)

Into the Colorful World of Webtoons: Through the Lens of Neural Networks. - Ceyda Cinarel; Byoung-Tak Zhang (MANPU@ICDAR, 2017)

Extremely Sparse Deep Learning Using Inception Modules with Dropfilters. - Woo-Young Kang; Kyung-Wha Park; Byoung-Tak Zhang (ICDAR, 2017)

Hadamard Product for Low-rank Bilinear Pooling. - Jin-Hwa Kim; Kyoung Woon On; Woosang Lim; Jeonghee Kim; Jung-Woo Ha 001; Byoung-Tak Zhang (ICLR (Poster), 2017)

Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks. - Cheolho Han; Sang-Woo Lee 001; Yu-Jung Heo; Woo-Young Kang; Jaehyun Jun; Byoung-Tak Zhang (LaCATODA@IJCAI, 2017)

DeepStory: Video Story QA by Deep Embedded Memory Networks. - Kyung-Min Kim; Min-Oh Heo; Seong-Ho Choi 001; Byoung-Tak Zhang (IJCAI, 2017)

Overcoming Catastrophic Forgetting by Incremental Moment Matching. - Sang-Woo Lee 001; Jin-Hwa Kim; Jaehyun Jun; Jung-Woo Ha 001; Byoung-Tak Zhang (NIPS, 2017)

In vitro molecular machine learning algorithm via symmetric internal loops of DNA. - Ji-Hoon Lee; Seung Hwan Lee; Christina Baek; Hyo-Sun Chun; Je-Hwan Ryu; Jin-Woo Kim 001; Russell J. Deaton; Byoung-Tak Zhang (Biosyst., 2017)

Overcoming Catastrophic Forgetting by Incremental Moment Matching. - Sang-Woo Lee 001; Jin-Hwa Kim; JungWoo Ha 001; Byoung-Tak Zhang (CoRR, 2017)

Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals. - Sungtae Lee; Sang-Woo Lee 001; Jinyoung Choi; Dong-Hyun Kwak; Byoung-Tak Zhang (CoRR, 2017)

CoDraw: Visual Dialog for Collaborative Drawing. - Jin-Hwa Kim; Devi Parikh; Dhruv Batra; Byoung-Tak Zhang; Yuandong Tian (CoRR, 2017)

Visual Explanations from Hadamard Product in Multimodal Deep Networks. - Jin-Hwa Kim; Byoung-Tak Zhang (CoRR, 2017)

Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors. - Sang-Woo Lee 001; Chung-yeon Lee; Dong-Hyun Kwak; Jung-Woo Ha 001; Jeonghee Kim; Byoung-Tak Zhang (Neural Networks, 2017)

Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning. - Beom-Jin Lee; Jinyoung Choi; Chung-yeon Lee; Kyung-Wha Park; Sungjun Choi; Cheolho Han; Dong-Sig Han; Christina Baek; Patrick Mokodir Emaase; Byoung-Tak Zhang (AAAI, 2018)

Lifelong Learning with the Feedback-loop between Emotions and Actions via Internal Reward. - Dharani Punithan; Byoung-Tak Zhang (BICA, 2018)

Multimodal Dual Attention Memory for Video Story Question Answering. - Kyung-Min Kim; Seong-Ho Choi 001; Jin-Hwa Kim; Byoung-Tak Zhang (ECCV (15), 2018)

Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification. - Eun-Sol Kim; Kyoung-Woon On; Jongseok Kim 002; Yu-Jung Heo; Seong-Ho Choi 001; Hyun-Dong Lee; Byoung-Tak Zhang (ECCV Workshops (4), 2018)

Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots. - Beom-Jin Lee; Jinyoung Choi; Christina Baek; Byoung-Tak Zhang (ICRA, 2018)

Bilinear Attention Networks. - Jin-Hwa Kim; Jaehyun Jun; Byoung-Tak Zhang (NeurIPS, 2018)

Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog. - Sang-Woo Lee 001; Yu-Jung Heo; Byoung-Tak Zhang (NeurIPS, 2018)

Identifying DNA Methylation Modules Associated with a Cancer by Probabilistic Evolutionary Learning. - Je-Keun Rhee; Soo-Jin Kim; Byoung-Tak Zhang (IEEE Comput. Intell. Mag., 2018)

Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue. - Sang-Woo Lee 001; Yu-Jung Heo; Byoung-Tak Zhang (CoRR, 2018)

GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation. - Taehyeong Kim; Min-Oh Heo; Seonil Son; Kyoung-Wha Park; Byoung-Tak Zhang (CoRR, 2018)

Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis. - Yung-Kyun Noh; Jihun Hamm; Frank Chongwoo Park; Byoung-Tak Zhang; Daniel D. Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Generative Local Metric Learning for Nearest Neighbor Classification. - Yung-Kyun Noh; Byoung-Tak Zhang; Daniel D. Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication. - Jin-Hwa Kim; Nikita Kitaev; Xinlei Chen; Marcus Rohrbach; Byoung-Tak Zhang; Yuandong Tian; Dhruv Batra; Devi Parikh (ACL (1), 2019)

Modeling Delay Discounting using Gaussian Process with Active Learning. - Jorge Chang; Jiseob Kim; Byoung-Tak Zhang; Mark A. Pitt; Jay I. Myung (CogSci, 2019)

Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models. - Sungjae Cho; Jaeseo Lim; Chris Hickey; Byoung-Tak Zhang (CogSci, 2019)

Dual Attention Networks for Visual Reference Resolution in Visual Dialog. - Gi-Cheon Kang; Jaeseo Lim; Byoung-Tak Zhang (EMNLP/IJCNLP (1), 2019)

Spatial Perception by Object-Aware Visual Scene Representation. - Chung-yeon Lee; Hyundo Lee; Injune Hwang; Byoung-Tak Zhang (ICCV Workshops, 2019)

WithDorm: Dormitory Solution for Linking Roommates. - Taehyeong Kim; Minji Kwak; Seung Hee Yang; Jaeseo Lim; Byoung-Tak Zhang (MobileHCI, 2019)

Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data. - Soo-Jin Kim; Jung-Woo Ha 001; Heebal Kim; Byoung-Tak Zhang (Appl. Soft Comput., 2019)

Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology. - Jiseob Kim; Byoung-Tak Zhang (CoRR, 2019)

Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies. - Kyoung-Woon On; Eun-Sol Kim; Yu-Jung Heo; Byoung-Tak Zhang (CoRR, 2019)

Constructing Hierarchical Q&A Datasets for Video Story Understanding. - Yu-Jung Heo; Kyoung-Woon On; Seongho Choi 001; Jaeseo Lim; Jinah Kim; Jeh-Kwang Ryu; Byung-Chull Bae; Byoung-Tak Zhang (CoRR, 2019)

Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models. - Sungjae Cho; Jaeseo Lim; Chris Hickey; Jung Ae Park; Byoung-Tak Zhang (CoRR, 2019)

Encoder-Powered Generative Adversarial Networks. - Jiseob Kim; Seungjae Jung; Hyundo Lee; Byoung-Tak Zhang (CoRR, 2019)

Compositional Structure Learning for Sequential Video Data. - Kyoung-Woon On; Eun-Sol Kim; Yu-Jung Heo; Byoung-Tak Zhang (CoRR, 2019)

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion. - Kyung-Wha Park; Junghoon Lee; Sunyoung Kwon; Jung-Woo Ha 001; Kyung-Min Kim; Byoung-Tak Zhang (CoRR, 2019)

Ruminating Word Representations with Random Noised Masker. - Hwiyeol Jo; Byoung-Tak Zhang (CoRR, 2019)

Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. - Kyoung-Woon On; Eun-Sol Kim; Yu-Jung Heo; Byoung-Tak Zhang (AAAI, 2020)

Effect of Active Pre-Learning Activities on Humans and Machines. - Jaeseo Lim; Hwiyeol Jo; Byoung-Tak Zhang; Jooyong Park (CogSci, 2020)

Hierarchical Color Learning in Convolutional Neural Networks. - Chris Hickey; Byoung-Tak Zhang (CVPR Workshops, 2020)

Hypergraph Attention Networks for Multimodal Learning. - Eun-Sol Kim; Woo-Young Kang; Kyoung-Woon On; Yu-Jung Heo; Byoung-Tak Zhang (CVPR, 2020)

Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning. - Taehyeong Kim; Injune Hwang; Gi-Cheon Kang; Won-Seok Choi 006; Hyunseo Kim 001; Byoung-Tak Zhang (ICASSP, 2020)

Visual Perception Framework for an Intelligent Mobile Robot. - Chung-yeon Lee; Hyundo Lee; Injune Hwang; Byoung-Tak Zhang (UR, 2020)

DialGraph: Sparse Graph Learning Networks for Visual Dialog. - Gi-Cheon Kang; Junseok Park; Hwaran Lee; Byoung-Tak Zhang; Jin-Hwa Kim (CoRR, 2020)

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. - Seongho Choi 001; Kyoung-Woon On; Yu-Jung Heo; Ahjeong Seo; Youwon Jang; Seungchan Lee; Min Su Lee; Byoung-Tak Zhang (CoRR, 2020)

Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models. - Dharani Punithan; Byoung-Tak Zhang (CoRR, 2020)

Human-Like Active Learning: Machines Simulating the Human Learning Process. - Jaeseo Lim; Hwiyeol Jo; Byoung-Tak Zhang; Jooyong Park (CoRR, 2020)

Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. - Taehyeong Kim; Injune Hwang; Hyundo Lee; Hyunseo Kim 001; Won-Seok Choi 006; Byoung-Tak Zhang (CoRR, 2020)

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. - Seongho Choi 001; Kyoung-Woon On; Yu-Jung Heo; Ahjeong Seo; Youwon Jang; Min Su Lee; Byoung-Tak Zhang (AAAI, 2021)

Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering. - Ahjeong Seo; Gi-Cheon Kang; Joonhan Park; Byoung-Tak Zhang (ACL/IJCNLP (1), 2021)

Passive Versus Active: Frameworks of Active Learning for Linking Humans to Machines. - Jaeseo Lim; Hwiyeol Jo; Byoung-Tak Zhang; Jooyong Park (CogSci, 2021)

Devil's Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification. - Hwiyeol Jo; Jaeseo Lim; Byoung-Tak Zhang (EMNLP (Findings), 2021)

Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer. - Gi-Cheon Kang; Junseok Park; Hwaran Lee; Byoung-Tak Zhang; Jin-Hwa Kim (EMNLP (Findings), 2021)

Co-Attentional Transformers for Story-Based Video Understanding. - Björn Bebensee; Byoung-Tak Zhang (ICASSP, 2021)

Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. - Junseok Park; Kwanyoung Park; Hyunseok Oh; Ganghun Lee; Min Su Lee; Youngki Lee 001; Byoung-Tak Zhang (ICMI, 2021)

Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. - Taehyeong Kim; Injune Hwang; Hyundo Lee; Hyunseo Kim 001; Won-Seok Choi 006; Joseph J. Lim; Byoung-Tak Zhang (ICML, 2021)

Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots. - Youngjae Yoo; Chung-Yeon Lee; Byoung-Tak Zhang (ICRA, 2021)

Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning. - Kibeom Kim; Min Whoo Lee; Yoonsung Kim; Je-Hwan Ryu; Min Su Lee; Byoung-Tak Zhang (NeurIPS, 2021)

RoboCup@Home 2021 Domestic Standard Platform League Winner. - Dongwoon Song; Taewoong Kang; Jae-Bong Yi; Joonyoung Kim; Taeyang Kim; Chung-Yeon Lee; Je-Hwan Ryu; Minji Kim 005; Hyun-Jun Jo; Byoung-Tak Zhang; Jae-Bok Song; Seung-Joon Yi (RoboCup, 2021)

M2FN: Multi-step modality fusion for advertisement image assessment. - Kyung-Wha Park; Jung-Woo Ha 001; Junghoon Lee; Sunyoung Kwon; Kyung-Min Kim; Byoung-Tak Zhang (Appl. Soft Comput., 2021)

Learning task-agnostic representation via toddler-inspired learning. - Kwanyoung Park; Junseok Park; Hyunseok Oh; Byoung-Tak Zhang; Youngki Lee 001 (CoRR, 2021)

CogME: A Novel Evaluation Metric for Video Understanding Intelligence. - Minjung Shin; Jeonghoon Kim; Seongho Choi 001; Yu-Jung Heo; Donghyun Kim; Min Su Lee; Byoung-Tak Zhang; Jeh-Kwang Ryu (CoRR, 2021)

Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering. - Donggeon Lee; Seongho Choi 001; Youwon Jang; Byoung-Tak Zhang (CoRR, 2021)

Toward a Human-Level Video Understanding Intelligence. - Yu-Jung Heo; Min Su Lee; Seongho Choi 001; Woo Suk Choi; Minjung Shin; Minjoon Jung; Jeh-Kwang Ryu; Byoung-Tak Zhang (CoRR, 2021)

Leveraging node neighborhoods and egograph topology for better bot detection in social graphs. - Björn Bebensee; Nagmat Nazarov; Byoung-Tak Zhang (Soc. Netw. Anal. Min., 2021)

Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering. - Yu-Jung Heo; Eun-Sol Kim; Woo Suk Choi; Byoung-Tak Zhang (ACL (1), 2022)

Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness. - Jiseob Kim; Jihoon Lee; Byoung-Tak Zhang (CVPR, 2022)

Improving Robustness to Texture Bias via Shape-focused Augmentation. - Sangjun Lee; Inwoo Hwang; Gi-Cheon Kang; Byoung-Tak Zhang (CVPR Workshops, 2022)

Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. - Minjoon Jung; Seongho Choi 001; Joochan Kim; Jin-Hwa Kim; Byoung-Tak Zhang (EMNLP, 2022)

From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. - Ganghun Lee; Minji Kim 005; Min Su Lee; Byoung-Tak Zhang (ICRA, 2022)

PlaceNet: Neural Spatial Representation Learning with Multimodal Attention. - Chung-Yeon Lee; Youngjae Yoo; Byoung-Tak Zhang (IJCAI, 2022)

Robust Imitation via Mirror Descent Inverse Reinforcement Learning. - Dong-Sig Han; Hyunseo Kim 001; Hyundo Lee; Je-Hwan Ryu; Byoung-Tak Zhang (NeurIPS, 2022)

SelecMix: Debiased Learning by Contradicting-pair Sampling. - Inwoo Hwang; Sangjun Lee; Yunhyeok Kwak; Seong Joon Oh; Damien Teney; Jin-Hwa Kim; Byoung-Tak Zhang (NeurIPS, 2022)

Team Tidyboy at the WRS 2020: a modular software framework for home service robots. - Taewoong Kang; Dongwoon Song; Jae-Bong Yi; Joonyoung Kim; Chung-Yeon Lee; Youngjae Yoo; Minji Kim 005; Hyun-Jun Jo; Byoung-Tak Zhang; Jae-Bok Song; Seung-Joon Yi (Adv. Robotics, 2022)

Cross-Modal Alignment Learning of Vision-Language Conceptual Systems. - Taehyeong Kim; Hyeonseop Song; Byoung-Tak Zhang (CoRR, 2022)

On the Importance of Critical Period in Multi-stage Reinforcement Learning. - Junseok Park; Inwoo Hwang; Min Whoo Lee; Hyunseok Oh; Min Su Lee; Youngki Lee 001; Byoung-Tak Zhang (CoRR, 2022)

From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. - Ganghun Lee; Minji Kim 005; Minsu Lee; Byoung-Tak Zhang (CoRR, 2022)

Learning to Write with Coherence From Negative Examples. - Seonil Son; Jaeseo Lim; Youwon Jang; Jaeyoung Lee; Byoung-Tak Zhang (CoRR, 2022)

SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation. - Woo Suk Choi; Yu-Jung Heo; Byoung-Tak Zhang (CoRR, 2022)

DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning. - Won-Seok Choi 006; Dong-Sig Han; Hyundo Lee; Junseok Park; Byoung-Tak Zhang (CoRR, 2022)

Editorial: Task planning and motion control problems of service robots in human-centered environments. - Hyungpil Moon; Byoung-Tak Zhang; Changjoo Nam (Intell. Serv. Robotics, 2022)

On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition. - Inwoo Hwang; Yunhyeok Kwak; Yeon-Ji Song; Byoung-Tak Zhang; Sanghack Lee (CLeaR, 2023)

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. - Gi-Cheon Kang; Sungdong Kim; Jin-Hwa Kim; Donghyun Kwak; Byoung-Tak Zhang (CVPR, 2023)

Learning Geometry-aware Representations by Sketching. - Hyundo Lee; Inwoo Hwang; Hyunsung Go; Won-Seok Choi 006; Kibeom Kim; Byoung-Tak Zhang (CVPR, 2023)

Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. - Ganghun Lee; Minji Kim 005; Yunsu Lee; Minsu Lee; Byoung-Tak Zhang (ICCV, 2023)

Robust Map Fusion with Visual Attention Utilizing Multi-agent Rendezvous. - Jaein Kim 004; Dong-Sig Han; Byoung-Tak Zhang (ICRA, 2023)

EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object. - Hyunseo Kim 001; Hye Jung Yoon; Minji Kim 005; Dong-Sig Han; Byoung-Tak Zhang (ICRA, 2023)

GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation. - Junghyun Kim 009; Gi-Cheon Kang; Jaein Kim 004; Suyeon Shin; Byoung-Tak Zhang (IROS, 2023)

L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning. - Kibeom Kim; Hyundo Lee; Min Whoo Lee; Moonheon Lee; Minsu Lee; Byoung-Tak Zhang (CoRR, 2023)

Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval. - Minjoon Jung; Youwon Jang; Seongho Choi 001; Joochan Kim; Jin-Hwa Kim; Byoung-Tak Zhang (CoRR, 2023)

Video Turing Test: A first step towards human-level AI. - Min Su Lee; Yu-Jung Heo; Seongho Choi 001; Woo Suk Choi; Byoung-Tak Zhang (AI Mag., 2023)

DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning. - Won-Seok Choi 006; Hyundo Lee; Dong-Sig Han; Junseok Park; Heeyeon Koo; Byoung-Tak Zhang (AAAI, 2024)

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. - Junseok Park; Yoonsung Kim; Hee bin Yoo; Min Whoo Lee; Kibeom Kim; Won-Seok Choi 006; Minsu Lee; Byoung-Tak Zhang (AAAI, 2024)

Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis. - Jaein Kim 004; Hee bin Yoo; Dong-Sig Han; Yeon-Ji Song; Byoung-Tak Zhang (ECCV (52), 2024)

Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning. - Inwoo Hwang; Yunhyeok Kwak; Suhyung Choi; Byoung-Tak Zhang; Sanghack Lee (ICML, 2024)

HAPFI: History-Aware Planning based on Fused Information. - Sujin Jeon; Suyeon Shin; Byoung-Tak Zhang (ICRA, 2024)

PROGrasp: Pragmatic Human-Robot Communication for Object Grasping. - Gi-Cheon Kang; Junghyun Kim 009; Jaein Kim 004; Byoung-Tak Zhang (ICRA, 2024)

Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter. - Seunghyeon Lim; Youngjae Yoo; Jun Ki Lee; Byoung-Tak Zhang (ICRA, 2024)

PGA: Personalizing Grasping Agents with Single Human-Robot Interaction. - Junghyun Kim 009; Gi-Cheon Kang; Jaein Kim 004; Seoyun Yang; Minjoon Jung; Byoung-Tak Zhang (IROS, 2024)

OV-MAP : Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots. - Juno Kim; Yesol Park; Hye Jung Yoon; Byoung-Tak Zhang (IROS, 2024)

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking. - Hye Jung Yoon; Juno Kim; Yesol Park; Jun-Ki Lee; Byoung-Tak Zhang (IROS, 2024)

Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction. - Yunhyeok Kwak; Inwoo Hwang; Dooyoung Kim; Sanghack Lee; Byoung-Tak Zhang (UAI, 2024)

Visual Hindsight Self-Imitation Learning for Interactive Navigation. - Kibeom Kim; Moonhoen Lee; Min Whoo Lee; Kisung Shin; Minsu Lee; Byoung-Tak Zhang (IEEE Access, 2024)

Continual Vision-and-Language Navigation. - Seongjun Jeong; Gi-Cheon Kang; Seongho Choi 001; Joochan Kim; Byoung-Tak Zhang (CoRR, 2024)

Socratic Planner: Inquiry-Based Zero-Shot Planning for Embodied Instruction Following. - Suyeon Shin; Sujin Jeon; Junghyun Kim 009; Gi-Cheon Kang; Byoung-Tak Zhang (CoRR, 2024)

Unsupervised Dynamics Prediction with Object-Centric Kinematics. - Yeon-Ji Song; Suhyung Choi; Jaein Kim 004; Jin-Hwa Kim; Byoung-Tak Zhang (CoRR, 2024)

ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty. - Hyunseo Kim 001; Hyeonseo Yang; Taekyung Kim 002; Yoonsung Kim; Jin-Hwa Kim; Byoung-Tak Zhang (CoRR, 2024)

Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment. - Seongjun Jeong; Gi-Cheon Kang; Joochan Kim; Byoung-Tak Zhang (CoRR, 2024)

CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision. - Gi-Cheon Kang; Junghyun Kim 009; Kyuhwan Shim; Jun Ki Lee; Byoung-Tak Zhang (CoRR, 2024)

Truncated Gaussian Policy for Debiased Continuous Control. - Ganghun Lee; Minji Kim 005; Minsu Lee; Byoung-Tak Zhang (AAAI, 2025)

Relaxed HLP: A Metric for Flexible High-Level Plan Evaluation in Embodied Environments. - Suyeon Shin; Byoung-Tak Zhang (BigComp, 2025)

On the Consistency of Video Large Language Models in Temporal Comprehension. - Minjoon Jung; Junbin Xiao; Byoung-Tak Zhang; Angela Yao (CVPR, 2025)

Background-Aware Moment Detection for Video Moment Retrieval. - Minjoon Jung; Youwon Jang; Seongho Choi 001; Joochan Kim; Jin-Hwa Kim; Byoung-Tak Zhang (WACV, 2025)

INQUIRER: Harnessing internal knowledge graphs for video question generation. - Woo Suk Choi; Youwon Jang; Min Su Lee; Byoung-Tak Zhang (Knowl. Based Syst., 2025)

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning. - Min Whoo Lee; Kibeom Kim; Soo Wung Shin; Minsu Lee; Byoung-Tak Zhang (CoRR, 2025)

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning. - Junseok Park; Hyeonseo Yang; Min Whoo Lee; Won-Seok Choi 006; Minsu Lee; Byoung-Tak Zhang (CoRR, 2025)

Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge. - Dong-Sig Han; Jaein Kim 004; Hee bin Yoo; Byoung-Tak Zhang (CoRR, 2025)

Exploring Ordinal Bias in Action Recognition for Instructional Videos. - Joochan Kim; Minjoon Jung; Byoung-Tak Zhang (CoRR, 2025)

DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting. - Yeon-Ji Song; Jaein Kim; Byung-Ju Kim; Byoung-Tak Zhang (CoRR, 2025)

OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference. - Won-Seok Choi 006; Dong-Sig Han; Suhyung Choi; Hyeonseo Yang; Byoung-Tak Zhang (CoRR, 2025)

Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion Models. - Hyundo Lee; Suhyung Choi; Byoung-Tak Zhang; Inwoo Hwang (CoRR, 2025)

Locality-aware Concept Bottleneck Model. - Sujin Jeon; Hyundo Lee; Eungseo Kim; Sanghack Lee; Byoung-Tak Zhang; Inwoo Hwang (CoRR, 2025)