Byoung-Tak Zhang

Byoung-Tak Zhang, Seong-Bae Park, Byoung-Tak Zhang, 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).

Devil's Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification

Byoung-Tak Zhang, Hwiyeol Jo, Jaeseo Lim, 2021, EMNLP.

CogME: A Novel Evaluation Metric for Video Understanding Intelligence pdf

Yu-Jung Heo, Byoung-Tak Zhang, Jeonghoon Kim, 2021, ArXiv.

Communication as moving target tracking: Dynamic Bayesian inference with an action-perception-learning cycle

Byoung-Tak Zhang, Byoung-Tak Zhang, 2013 .

A unified Bayesian framework for evolutionary learning and optimization

Byoung-Tak Zhang, Byoung-Tak Zhang, 2003 .

Automatic Webpage Classification Enhanced by Unlabeled Data

Byoung-Tak Zhang, Seong-Bae Park, Byoung-Tak Zhang, 2003, IDEAL.

Text-to-image retrieval based on incremental association via multimodal hypernetworks

Byoung-Tak Zhang, Beom-Jin Lee, JungWoo Ha, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information

Byoung-Tak Zhang, Seong-Bae Park, Byoung-Tak Zhang, 2003, PAKDD.

Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning

Byoung-Tak Zhang, Seong-Bae Park, Byoung-Tak Zhang, 2003, ACL.

Genetic Mining of HTML Structures for Effective Web-Document Retrieval

Byoung-Tak Zhang, Sun Kim, Byoung-Tak Zhang, 2003, Applied Intelligence.

Evolutionary learning of Web-document structure for information retrieval

Byoung-Tak Zhang, Sun Kim, Byoung-Tak Zhang, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags

Byoung-Tak Zhang, Sun Kim, Byoung-Tak Zhang, 2000, PRICAI Workshop on Text and Web Mining.

BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/btm045 Data and text mining Discovery of microRNA–mRNA modules via population-based probabilistic learning

Byoung-Tak Zhang, Soo-Jin Kim, Je-Gun Joung, 2007 .

miTarget: microRNA target gene prediction using a support vector machine

Byoung-Tak Zhang, Sung-Kyu Kim, Je-Keun Rhee, 2006, BMC Bioinformatics.

A Kernel Method for MicroRNA Target Prediction Using Sensible Data and Position-Based Features

Byoung-Tak Zhang, Sung-Kyu Kim, Jin-Wu Nam, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms

Byoung-Tak Zhang, In-Hee Lee, Seong-Bae Park, 2007, EvoBIO.

Identification of Caenorhabditis elegans MicroRNA Targets Using a Kernel Method

Byoung-Tak Zhang, Jin-Wu Nam, Byoung-Tak Zhang, 2005 .

Identification and characterization of small RNAs from vernalizedArabidopsis thaliana

Byoung-Tak Zhang, Jin-Wu Nam, Ilha Lee, 2007, Journal of Plant Biology.

Identification and Characterization of Small RNAs from Vernalized Arabidopsis thaliana

Byoung-Tak Zhang, Jin-Wu Nam, Ilha Lee, 2007 .

Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation

Byoung-Tak Zhang, Dong-Ho Shin, Je-Gun Joung, 2006, Bioinform..

Integrated analysis of genome-wide DNA methylation and gene expression profiles in molecular subtypes of breast cancer

Byoung-Tak Zhang, Pearlly Yan, Kenneth P. Nephew, 2013, Nucleic acids research.

Correlation Analysis between Regulatory Sequence Motifs and Expression Profiles by Kernel CCA

Byoung-Tak Zhang, J. Chang, Je-Keun Rhee, 2005 .

Identifying DNA Methylation Modules Associated with a Cancer by Probabilistic Evolutionary Learning

Byoung-Tak Zhang, Je-Keun Rhee, Soo-Jin Kim, 2018, IEEE Computational Intelligence Magazine.

PIE: an online prediction system for protein–protein interactions from text

Byoung-Tak Zhang, In-Hee Lee, Soo-Yong Shin, 2008, Nucleic Acids Res..

Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks

Byoung-Tak Zhang, Je-Gun Joung, Jeong Ho Chang, 2006, BMC Bioinformatics.

Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions

Byoung-Tak Zhang, Jae-Hong Eom, Byoung-Tak Zhang, 2004, CIT.

PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining

Byoung-Tak Zhang, Jae-Hong Eom, Byoung-Tak Zhang, 2004, AIMSA.

Learning-based Intrasentence Segmentation for Efficient Translation of Long Sentences

Byoung-Tak Zhang, Yung Taek Kim, Sung Dong Kim, 2001, Machine Translation.

Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data

Byoung-Tak Zhang, Seong-Bae Park, Yung Taek Kim, 2003, Applied Intelligence.

Bilinear Attention Networks

Byoung-Tak Zhang, Jin-Hwa Kim, Jaehyun Jun, 2018, NeurIPS.

Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning

Byoung-Tak Zhang, Soo-Jin Kim, JungWoo Ha, 2013, BMC Systems Biology.

Adaptive stock trading with dynamic asset allocation using reinforcement learning

Byoung-Tak Zhang, Jae Won Lee, Jongwoo Lee, 2006, Inf. Sci..

Molecular responses of Jurkat T-cells to 1763 MHz radiofrequency radiation

Byoung-Tak Zhang, Jeong-Sun Seo, Woong-Yang Park, 2008, International journal of radiation biology.

Applying Machine Learning Techniques to Analysis of Gene Expression Data: Cancer Diagnosis

Byoung-Tak Zhang, Kyu-Baek Hwang, Dong-Yeon Cho, 2002 .

Solving traveling salesman problems using molecular programming

Byoung-Tak Zhang, Soo-Yong Shin, Sung-Soo Jun, 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules

Byoung-Tak Zhang, Soo-Jin Kim, JungWoo Ha, 2010, IEEE Congress on Evolutionary Computation.

PromSearch: A Hybrid Approach to Human Core-Promoter Prediction

Byoung-Tak Zhang, Seong-Bae Park, Byoung-Hee Kim, 2004, IDEAL.

Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm

Byoung-Tak Zhang, Sun Kim, Chan-Hoon Park, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling

Byoung-Tak Zhang, Sung Wook Chi, Jinsan Yang, 2003, Machine Learning.

Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining

Byoung-Tak Zhang, Jae-Hong Eom, Byoung-Tak Zhang, 2006, ICONIP.

Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule

Byoung-Tak Zhang, Jae-Hong Eom, Byoung-Tak Zhang, 2005, ICANN.

Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning pdf

Byoung-Tak Zhang, Injune Hwang, Won-Seok Choi, 2020, ICML.

Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning

Byoung-Tak Zhang, Injune Hwang, Won-Seok Choi, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Use of Evolutionary Hypernetworks for Mining Prostate Cancer Data

Byoung-Tak Zhang, Sun Kim, Chan-Hoon Park, 2007 .

Ontogenesis of Agency in Machines : A Multidisciplinary Review

Byoung-Tak Zhang, Byoung-Tak Zhang, 2014 .

Concurrent Evolution of Neural Networks and Their Data Sets

Byoung-Tak Zhang, Je-Gun Joung, 2000 .

Humans and Machines in the Evolution of AI in Korea

Byoung-Tak Zhang, Byoung-Tak Zhang, 2016, AI Mag..

Hypernetworks: A Molecular Evolutionary Architecture for Cognitive Learning and Memory

Byoung-Tak Zhang, Byoung-Tak Zhang, 2008, IEEE Computational Intelligence Magazine.

Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models pdf

Byoung-Tak Zhang, Jung Ae Park, Jaeseo Lim, 2019, ArXiv.

DeepStory: Video Story QA by Deep Embedded Memory Networks pdf

Byoung-Tak Zhang, Min-Oh Heo, Seong-Ho Choi, 2017, IJCAI.

Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures

Byoung-Tak Zhang, Sun Kim, Jeongmi Kim, 2009, Comput. Biol. Medicine.

Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals.

Byoung-Tak Zhang, Cheolsoo Park, Jiwoo You, 2018, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

Online Learning of Uneven Terrain for Humanoid Bipedal Walking

Byoung-Tak Zhang, Daniel D. Lee, Seung-Joon Yi, 2010, AAAI.

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication

Xinlei Chen, Yuandong Tian, Byoung-Tak Zhang, 2017, ACL.

Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers

Byoung-Tak Zhang, Byoung-Tak Zhang, 2009, AAAI Spring Symposium: Agents that Learn from Human Teachers.

Topic Extraction from Text Documents Using Multiple-Cause Networks

Byoung-Tak Zhang, Jae Won Lee, Yuseop Kim, 2002, PRICAI.

Using Stochastic Helmholtz Machine for Text Learning

Byoung-Tak Zhang, Jeong Ho Chang, Byoung-Tak Zhang, 2001 .

41 ’ Advances in Genetic Programming III , Research and Educational use only ’

Dong-Yeon Cho, Byoung-Tak Zhang, 1999 .

Special issue: First International Conference on Big Data and Smart Computing (BigComp2014)

Byoung-Tak Zhang, Kazutoshi Sumiya, Jinho Kim, 2016, Data & Knowledge Engineering.

Event Cognition-based Daily Activity Prediction Using Wearable Sensors

Byoung-Tak Zhang, Chung-Yeon Lee, Dong-Hyun Kwak, 2016 .

Generative Local Metric Learning for Nearest Neighbor Classification

Byoung-Tak Zhang, Daniel D. Lee, Yung-Kyun Noh, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Effects of Occam's Razor in Evolving Sigma-Pi Neural Nets

Byoung-Tak Zhang, Byoung-Tak Zhang, 1994, PPSN.

Intelligent DNA learning system with multiple iterations of weight update

Byoung-Tak Zhang, Beom-Jin Lee, Christina Baek, 2018 .

Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes

Byoung-Tak Zhang, Soo-Jin Kim, JungWoo Ha, 2014, J. Biomed. Informatics.

Evolutionary neural trees for modeling and predicting complex systems

Byoung-Tak Zhang, Heinz Mühlenbein, Peter Ohm, 1997 .

Evolutionary Induction of Sparse Neural Trees

Byoung-Tak Zhang, Heinz Mühlenbein, Peter Ohm, 1997, Evolutionary Computation.

Balancing Accuracy and Parsimony in Genetic Programming

Byoung-Tak Zhang, Heinz Mühlenbein, Byoung-Tak Zhang, 1995, Evolutionary Computation.

Synthesis of sigma-pi neural networks by the breeder genetic programming

Byoung-Tak Zhang, Heinz Mühlenbein, Byoung-Tak Zhang, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Evolutionary optimization by distribution estimation with mixtures of factor analyzers

Byoung-Tak Zhang, Dong-Yeon Cho, Dong-Yeon Cho, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

Molecular learning with DNA kernel machines

Byoung-Tak Zhang, Daniel D. Lee, Yung-Kyun Noh, 2015, Biosyst..

Identification of biochemical networks by S-tree based genetic programming

Byoung-Tak Zhang, Kwang-Hyun Cho, Dong-Yeon Cho, 2006, Bioinform..

Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks

Byoung-Tak Zhang, Dong-Yeon Cho, Kee-Young Kim, 2006, EvoWorkshops.

System identification using evolutionary Markov chain Monte Carlo

Byoung-Tak Zhang, Dong-Yeon Cho, Dong-Yeon Cho, 2001, J. Syst. Archit..

Behavior Evolution of Autonomous Mobile Robot(AMR) using Genetic Programming Based on Evolvable Hardware

Kwee-Bo Sim, Byoung-Tak Zhang, Dong-Wook Lee, 2002, Int. J. Fuzzy Log. Intell. Syst..

Behavior evolution of autonomous mobile robot using genetic programming based on evolvable hardware

Kwee-Bo Sim, Byoung-Tak Zhang, Dong-Wook Lee, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

Genetic programming of process decomposition strategies for evolvable hardware

Kwee-Bo Sim, Byoung-Tak Zhang, Dong-Wook Lee, 2000, Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware.

WithDorm

Byoung-Tak Zhang, Taehyeong Kim, Jaeseo Lim, 2019, Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services.

WithDorm: Dormitory Solution for Linking Roommates

Byoung-Tak Zhang, Taehyeong Kim, Seung Hee Yang, 2019, MobileHCI.

Uncovering Response Biases in Recommendation

Byoung-Tak Zhang, Byoung-Hee Kim, Tae-Suh Park, 2014, MPREF@AAAI.

Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering

Ahjeong Seo, Byoung-Tak Zhang, Gi-Cheon Kang, 2021, ACL.

Learning Geometry-aware Representations by Sketching

Byoung-Tak Zhang, Won-Seok Choi, Kibeom Kim, 2023, ArXiv.

Personalized web-document filtering using reinforcement learning

Young-Woo Seo, Byoung-Tak Zhang, Byoung-Tak Zhang, 2001, Appl. Artif. Intell..

Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval

Byoung-Tak Zhang, Jin-Hwa Kim, Joo-Kyung Kim, 2022, EMNLP.

Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors

Byoung-Tak Zhang, Jung-Woo Ha, Chung-Yeon Lee, 2017, Neural Networks.

Knowledgebot : Neuroknowledge based Complimentary Learning Model for Question Answering Systems

Byoung-Tak Zhang, Eun-Sol Kim, Kyoung-Woon On, 2016 .

DramaQA: Character-Centered Video Story Understanding with Hierarchical QA pdf

Byoung-Tak Zhang, Y. Heo, Kyoung-Woon On, 2020, AAAI.

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training

Byoung-Tak Zhang, Jin-Hwa Kim, Gi-Cheon Kang, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Dual Attention Networks for Visual Reference Resolution in Visual Dialog pdf

Byoung-Tak Zhang, Jaeseo Lim, Gi-Cheon Kang, 2019, EMNLP.

Multiswitch Hidden Markov Models for Route and Destination Prediction of Mobile Phone Users

Byoung-Tak Zhang, 이상우, 허민오, 2013 .

Multimodal Residual Learning for Visual QA

Byoung-Tak Zhang, Jung-Woo Ha, Sang-Woo Lee, 2016, NIPS.

Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering

Woo Suk Choi, Byoung-Tak Zhang, Y. Heo, 2022, ACL.

Generating Images Part by Part with Composite Generative Adversarial Networks pdf

Byoung-Tak Zhang, Hanock Kwak, Byoung-Tak Zhang, 2016, ArXiv.

Character-based Subtitle Generation by Learning of Multimodal Concept Hierarchy from Cartoon Videos

Byoung-Tak Zhang, Jung-Woo Ha, Beom-Jin Lee, 2015, Journal of KIISE.

Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer

Byoung-Tak Zhang, Hwaran Lee, Gi-Cheon Kang, 2020, EMNLP.

Multimodal Dual Attention Memory for Video Story Question Answering

Byoung-Tak Zhang, Jin-Hwa Kim, Seong-Ho Choi, 2018, ECCV.

Hypergraph Attention Networks for Multimodal Learning

Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adaptive fitness functions for dynamic growing/pruning of program trees

Byoung-Tak Zhang, Heinz Mühlenbein, Byoung-Tak Zhang, 1996 .

Consensus Analysis and Modeling of Visual Aesthetic Perception

Byoung-Tak Zhang, Tae-Suh Park, Byoung-Tak Zhang, 2015, IEEE Transactions on Affective Computing.

Multi-Modal Wearable Sensor Integration for Daily Activity Pattern Analysis with Gated Multi-Modal Neural Networks

Kyoung-Woon On, Byoung-Tak Zhang, Eun-Sol Kim, 2017 .

Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing

Byoung-Tak Zhang, In-Hee Lee, Soo-Yong Shin, 2005, IEEE Trans. Evol. Comput..

Dynamic Asset Allocation for Stock Trading Optimized by Evolutionary Computation

Byoung-Tak Zhang, Jae Won Lee, Jongwoo Lee, 2005, IEICE Trans. Inf. Syst..

Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework

Byoung-Tak Zhang, Jae Won Lee, Jongwoo Lee, 2004, ECML.

Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks

Byoung-Tak Zhang, Jae Won Lee, Sung-Bae Park, 2004, IDEAL.

The demand for quantitative techniques in biomedical image informatics

Myoung-Hee Kim, Byoung-Tak Zhang, Ha-Young Jang, 2014, Biomedical Engineering Letters.

Robust Imitation via Mirror Descent Inverse Reinforcement Learning

Byoung-Tak Zhang, Hyunseok Kim, Je-hwan Ryu, 2022, NeurIPS.

Effective EEG Connectivity Analysis of Episodic Memory Retrieval

Byoung-Tak Zhang, Chung-yeon Lee, Byoung-Tak Zhang, 2014, CogSci.

Visual Perception Framework for an Intelligent Mobile Robot

Byoung-Tak Zhang, Chung-Yeon Lee, Hyundo Lee, 2020, 2020 17th International Conference on Ubiquitous Robots (UR).

Cognitive learning and the multimodal memory game: Toward human-level machine learning

Byoung-Tak Zhang, Byoung-Tak Zhang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Neural Correlates of Episodic Memory Formation in Audio-Visual Pairing Tasks

Byoung-Tak Zhang, Beom-Jin Lee, Chung-yeon Lee, 2012, CogSci.

Development, evaluation and benchmarking of simulation software for biomolecule-based computing

Byoung-Tak Zhang, Masahito Yamamoto, Azuma Ohuchi, 2004, Natural Computing.

Actively searching for committees of RBF networks using Bayesian evolutionary computation

Byoung-Tak Zhang, Je-Gun Joung, Byoung-Tak Zhang, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

Building Optimal Committees of Genetic Programs

Byoung-Tak Zhang, Je-Gun Joung, Byoung-Tak Zhang, 2000, PPSN.

Identification of novel anti-angiogenic factors by in silico functional gene screening method.

Moon-Kyoung Bae, Byoung-Tak Zhang, Jaehyuk Cha, 2003, Journal of biotechnology.

Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification

Byoung-Tak Zhang, Sangyoon Oh, Min Su Lee, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data

Byoung-Tak Zhang, Sangyoon Oh, Min Su Lee, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

AESNB: Active Example Selection with Naïve Bayes Classifier for Learning from Imbalanced Biomedical Data

Byoung-Tak Zhang, Byoung-Hee Kim, Je-Keun Rhee, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction

Byoung-Tak Zhang, Sung-Chun Kim, Jae-Hong Eom, 2008, Expert Syst. Appl..

Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets

Byoung-Tak Zhang, Kyu Baek Hwang, Byoung-Tak Zhang, 2005, IEEE Trans. Syst. Man Cybern. Part B.

Bayesian Network Classifiers for Gene Expression Analysis

Byoung-Tak Zhang, Kyu-Baek Hwang, Byoung-Tak Zhang, 2003 .

Active Learning Agents with Artificial Neural Brains

Byoung-Tak Zhang, Byoung-Tak Zhang, 2012 .

Evolution of Herding Behavior of Multiple Autonomous Mobile Robots

Byoung-Tak Zhang, Byoung-Tak Zhang, 1998 .

Generating Cafeteria Conversations with a Hypernetwork Dialogue Model

Byoung-Tak Zhang, Hyo-Sun Chun, Jun-Hyuk Oh, 2013 .

Characterization of biological effect of 1763 MHz radiofrequency exposure on auditory hair cells

Byoung-Tak Zhang, Jeong-Sun Seo, Woong-Yang Park, 2008, International journal of radiation biology.

M2FN: Multi-step Modality Fusion for Advertisement Image Assessment

Byoung-Tak Zhang, Jung-Woo Ha, Sunyoung Kwon, 2021, Appl. Soft Comput..

Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion pdf

Byoung-Tak Zhang, Jung-Woo Ha, Sunyoung Kwon, 2019, ArXiv.

ProMiR II: a web server for the probabilistic prediction of clustered, nonclustered, conserved and nonconserved microRNAs

Byoung-Tak Zhang, Sung-Kyu Kim, Jinhan Kim, 2006, Nucleic Acids Res..

Bayesian Methods for Efficient Genetic Programming

Byoung-Tak Zhang, Byoung-Tak Zhang, 2000, Genetic Programming and Evolvable Machines.

Biomolecular theorem proving on a chip: a novel microfluidic solution to a classical logic problem.

In-Hee Lee, Seung Hwan Lee, Tai Hyun Park, 2012, Lab on a chip.

Data-driven experimental design and model development using Gaussian process with active learning

Jay I. Myung, M. Pitt, Byoung-Tak Zhang, 2021, Cognitive Psychology.

Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost

Byoung-Tak Zhang, Seong-Bae Park, Sohyun Hwang, 2003, DEXA.

Classification of the Risk Types of Human Papillomavirus by Decision Trees

Byoung-Tak Zhang, Seong-Bae Park, Sohyun Hwang, 2003, IDEAL.

Classification of Human Papillomavirus (HPV) Risk Type via Text Mining

Byoung-Tak Zhang, Seong-Bae Park, Sohyun Hwang, 2003 .

Co-Attentional Transformers for Story-Based Video Understanding pdf

Byoung-Tak Zhang, Björn Bebensee, Byoung-Tak Zhang, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The demand for quantitative techniques in biomedical image informatics

Byoung-Tak Zhang, Mi-Sun Kang, Ha-Young Jang, 2014 .

Survey of computational haplotype determination methods for single individual

Byoung-Tak Zhang, S. Shin, Kyu-Baek Hwang, 2015, Genes & Genomics.

Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval

Byoung-Tak Zhang, Jin-Hwa Kim, Joo-Kyung Kim, 2023, 2306.02728.

Enzymatic Weight Update Algorithm for DNA-Based Molecular Learning

Sang-Woo Lee, Byoung-Tak Zhang, Beom-Jin Lee, 2019, Molecules.

In vitro molecular pattern classification via DNA-based weighted-sum operation

Byoung-Tak Zhang, Seung Hwan Lee, Tai Hyun Park, 2010, Biosyst..

A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset

Byoung-Tak Zhang, Soo-Yong Shin, Soo-Jin Kim, 2012, BMC Bioinformatics.

Learning user's preferences by analyzing Web-browsing behaviors

Young-Woo Seo, Byoung-Tak Zhang, Byoung-Tak Zhang, 2000, AGENTS '00.

NACST/Seq: A Sequence Design System with Multiobjective Optimization

Byoung-Tak Zhang, In-Hee Lee, Soo-Yong Shin, 2002, DNA.

In vivo Intelligent Agents with CRISPR-Cas 9 for Molecular Learning

Byoung-Tak Zhang, Christina Baek, 2017 .

Mutual information-based evolution of hypernetworks for brain data analysis

Byoung-Tak Zhang, Eun-Sol Kim, Jun Soo Kwon, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation pdf

Byoung-Tak Zhang, Taehyeong Kim, Min-Oh Heo, 2018, ArXiv.

Spatial Perception by Object-Aware Visual Scene Representation

Byoung-Tak Zhang, Hyundo Lee, Injune Hwang, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Autonomous Learning in Mobile Cognitive Machines

Byoung-Tak Zhang, Byoung-Tak Zhang, 2017 .

Generation of Hangul Handwritten Characters using Recurrent Neural Networks

Byoung-Tak Zhang, Byoung-Hee Kim, 2022 .

(An Online Incremental Associative Feature Construction Method via Maximizing Entropy)

Byoung-Tak Zhang, Min-Oh Heo, Sang-Woo Lee, 2013 .

Dynamic and Static Influence Models on Starbucks Networks

Byoung-Tak Zhang, Minkyoung Kim, June-Sup Lee, 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

Social Influence Models Based on Starbucks Networks

Byoung-Tak Zhang, Minkyoung Kim, June-Sup Lee, 2009, 2009 International Conference on Computational Aspects of Social Networks.

SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation

Woo Suk Choi, Byoung-Tak Zhang, Y. Heo, 2022, ArXiv.

Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models

Woo Suk Choi, Byoung-Tak Zhang, Y. Heo, 2022, DLG4NLP.

Evolving hypernetwork classifiers for microRNA expression profile analysis

Byoung-Tak Zhang, Sun Kim, Soo-Jin Kim, 2007, 2007 IEEE Congress on Evolutionary Computation.

Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency

Byoung-Tak Zhang, Byoung-Tak Zhang, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

DialGraph: Sparse Graph Learning Networks for Visual Dialog pdf

Byoung-Tak Zhang, Junseok Park, Hwaran Lee, 2020, ArXiv.

Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots

Byoung-Tak Zhang, Chung-Yeon Lee, Youngjae Yoo, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

CoDraw: Visual Dialog for Collaborative Drawing pdf

Yuandong Tian, Byoung-Tak Zhang, Dhruv Batra, 2017, ArXiv.

Communication as moving target tracking

Byoung-Tak Zhang, Byoung-Tak Zhang, 2013 .

Gestures Imitation and Modeling using Concept Hierarchies and Hidden Markov Model

Byoung-Tak Zhang, P. M. Emaase, 2015 .

Two-Step Genetic Programming for Optimization of RNA Common-Structure

Byoung-Tak Zhang, Je-Gun Joung, Jin-Wu Nam, 2004, EvoWorkshops.

Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals pdf

Byoung-Tak Zhang, Sang-Woo Lee, Jinyoung Choi, 2017, ArXiv.

Lifelong Learning with the Feedback-loop between Emotions and Actions via Internal Reward

Byoung-Tak Zhang, Dharani Punithan, Byoung-Tak Zhang, 2018, BICA.

Visual Query Expansion via Incremental Hypernetwork Models of Image and Text

Byoung-Tak Zhang, Min-Oh Heo, Myunggu Kang, 2010, PRICAI.

Spectrally Similar Graph Pooling

Kyoung-Woon On, Eun-Sol Kim, Il-Jae Kwon, 2020 .

Human Body Orientation Estimation using Convolutional Neural Network pdf

Byoung-Tak Zhang, Jinyoung Choi, Beom-Jin Lee, 2016, ArXiv.

Large-Scale Text Classification with Deep Neural Networks

Byoung-Tak Zhang, Kyung Min Kim, Jin-Hwa Kim, 2017 .

Identifying Prostate Cancer-specific Gene Modules via Hypergraph Analysis based on NMF

Jung-Woo Ha, Byoung-Tak Zhang, Soo Jin Kim, 2012 .

Exploring Cancer-Specific microRNA-mRNA Interactions by Evolutionary Layered Hypernetwork Models

Byoung-Tak Zhang, Jung-Woo Ha, S. Kim, 2010 .

A novel method to monitor human stress states using ultra-short-term ECG spectral feature

Byoung-Tak Zhang, Cheolsoo Park, Bosun Hwang, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Information-Theoretic Objective Functions for Lifelong Learning

Byoung-Tak Zhang, Byoung-Tak Zhang, 2013, AAAI Spring Symposium: Lifelong Machine Learning.

Theoretical Property of Topological Efficiency Measurements for Markov Decision Problems

Byoung-Tak Zhang, Seung-Joon Yi, Byoung-Tak Zhang, 2007 .

Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog

Yu-Jung Heo, Byoung-Tak Zhang, Sang-Woo Lee, 2018, NeurIPS.

L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning

Byoung-Tak Zhang, Kibeom Kim, Min Whoo Lee, 2023, ArXiv.

Active stabilization of a humanoid robot for impact motions with unknown reaction forces

Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Text filtering by boosting naive Bayes classifiers

Byoung-Tak Zhang, Yu-Hwan Kim, Shang-Yoon Hahn, 2000, SIGIR '00.

CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays

Byoung-Tak Zhang, Peter J. Park, Isaac S. Kohane, 2005, Bioinform..

EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object

Byoung-Tak Zhang, Minji Kim, Dong-Sig Han, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning pdf

Byoung-Tak Zhang, Je-Hwan Ryu, Kibeom Kim, 2021, NeurIPS.

GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation

Byoung-Tak Zhang, Gi-Cheon Kang, Suyeon Shin, 2023, ArXiv.

Molecular Learning of wDNF Formulae

Byoung-Tak Zhang, Ha-Young Jang, Byoung-Tak Zhang, 2005, DNA.

A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature

Byoung-Tak Zhang, Seong-Hwan Kim, Sun Kim, 2006, KDLL.

Molecular programming: evolving genetic programs in a test tube

Byoung-Tak Zhang, Ha-Young Jang, Byoung-Tak Zhang, 2005, GECCO '05.

Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots

Byoung-Tak Zhang, Jinyoung Choi, Beom-Jin Lee, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Constructing cancer-specific microRNA networks by probabilistic local structure learning

Byoung-Tak Zhang, S. Kim, 2009 .

Evolutionary particle filtering for sequential dependency learning from video data

Byoung-Tak Zhang, Ho-Sik Seok, Jun Hee Yoo, 2012, 2012 IEEE Congress on Evolutionary Computation.

Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis

Byoung-Tak Zhang, Frank Chongwoo Park, Daniel D. Lee, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Comparison of Selection Methods for Evolutionary Optimization

Byoung-Tak Zhang, Byoung-Tak Zhang, 2000 .

Online learning of a full body push recovery controller for omnidirectional walking

Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

Genetic Mining of HTML Structures for Effective Web-Document Retrieval

Byoung-Tak Zhang, Sun Kim, 2003, Applied Intelligence.

Plasmid-DNAgram : Anagram Solving by Molecular Interactions in Living Cells by FRET between Variants of the Green Fluorescent Protein

Su Dong Kim, Byoung-Tak Zhang, B. Kaang, 2004 .

Molecular programming: evolving genetic programs in a test tube

Byoung-Tak Zhang, Ha-Young Jang, 2005, GECCO '05.

Computational Methods for Identification of Human microRNA Precursors

Byoung-Tak Zhang, Jin-Wu Nam, Wha-Jin Lee, 2004, PRICAI.

Learning robot behaviors by evolving genetic programs

Byoung-Tak Zhang, Kwang-Ju Lee, Byoung-Tak Zhang, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

Evolving complex group behaviors using genetic programming with fitness switching

Dong-Yeon Cho, Byoung-Tak Zhang, 2000, Artificial Life and Robotics.

Genetic programming with incremental data inheritance

Byoung-Tak Zhang, Je-Gun Joung, Byoung-Tak Zhang, 1999 .

Genetic Programming with Active Data Selection

Byoung-Tak Zhang, Dong-Yeon Cho, Dong-Yeon Cho, 1998, SEAL.

Stock Trading System Using Reinforcement Learning with Cooperative Agents

Byoung-Tak Zhang, Jae Won Lee, O. Jangmin, 2002, ICML.

In vitro molecular machine learning algorithm via symmetric internal loops of DNA

Byoung-Tak Zhang, Seung Hwan Lee, Russell J. Deaton, 2017, Biosyst..

On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition

Sanghack Lee, Byoung-Tak Zhang, Inwoo Hwang, 2023, CLeaR.