| 2026 | AAAI | Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion Models. | Hyundo Lee, Suhyung Choi, Inwoo Hwang, Byoung-Tak Zhang |
| 2026 | AAAI | Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning. | Jinhee Park, Hee Bin Yoo, Minjun Kim, Byoung-Tak Zhang, Junseok Kwon |
| 2026 | AAAI | PeriUn: Enhancing Unlearning by Selectively Forgetting Peripheral Samples. | Hee Bin Yoo, Dong-Sig Han, Jaein Kim, Byoung-Tak Zhang |
| 2026 | WACV | Hybrid State Representation for Video Procedure Planning. | Woo Suk Choi, Youwon Jang, Minsu Lee, Byoung-Tak Zhang |
| 2025 | AAAI | Truncated Gaussian Policy for Debiased Continuous Control. | Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang |
| 2025 | CVPR | On the Consistency of Video Large Language Models in Temporal Comprehension. | Minjoon Jung, Junbin Xiao, Byoung-Tak Zhang, Angela Yao |
| 2025 | EMNLP | Confidence-guided Refinement Reasoning for Zero-shot Question Answering. | Youwon Jang, Woo Suk Choi, Minjoon Jung, Minsu Lee, Byoung-Tak Zhang |
| 2025 | ICCV | Ock: Unsupervised Dynamic Video Prediction With Object-Centric Kinematics. | Yeon-Ji Song, Jaein Kim, Suhyung Choi, Jin-Hwa Kim, Byoung-Tak Zhang |
| 2025 | ICRA | DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation. | Yesol Park, Hye Jung Yoon, Juno Kim, Byoung-Tak Zhang |
| 2025 | IROS | CDIS : Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging. | Juno Kim, Hye Jung Yoon, Yesol Park, Byoung-Tak Zhang |
| 2025 | ICRA | Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following. | Suyeon Shin, Sujin Jeon, Junghyun Kim, Gi-Cheon Kang, Byoung-Tak Zhang |
| 2025 | WACV | Background-Aware Moment Detection for Video Moment Retrieval. | Minjoon Jung, Youwon Jang, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang |
| 2024 | AAAI | DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning. | Won-Seok Choi, Hyundo Lee, Dong-Sig Han, Junseok Park, Heeyeon Koo, Byoung-Tak Zhang |
| 2024 | AAAI | 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, Minsu Lee, Byoung-Tak Zhang |
| 2024 | CogSci | CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding. | Minjung Shin, Seongho Choi, Yu-Jung Heo, Minsu Lee, Byoung-Tak Zhang, Jeh-Kwang Ryu |
| 2024 | ECCV | Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis. | Jaein Kim, Hee Bin Yoo, Dong-Sig Han, Yeon-Ji Song, Byoung-Tak Zhang |
| 2024 | ICML | Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning. | Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee |
| 2024 | ICRA | HAPFI: History-Aware Planning based on Fused Information. | Sujin Jeon, Suyeon Shin, Byoung-Tak Zhang |
| 2024 | ICRA | PROGrasp: Pragmatic Human-Robot Communication for Object Grasping. | Gi-Cheon Kang, Junghyun Kim, Jaein Kim, Byoung-Tak Zhang |
| 2024 | ICRA | Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter. | Seunghyeon Lim, Youngjae Yoo, Jun Ki Lee, Byoung-Tak Zhang |
| 2024 | IROS | PGA: Personalizing Grasping Agents with Single Human-Robot Interaction. | Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Seoyun Yang, Minjoon Jung, Byoung-Tak Zhang |
| 2024 | IROS | OV-MAP : Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots. | Juno Kim, Yesol Park, Hye Jung Yoon, Byoung-Tak Zhang |
| 2024 | IROS | Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking. | Hye Jung Yoon, Juno Kim, Yesol Park, Jun-Ki Lee, Byoung-Tak Zhang |
| 2024 | UAI | Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction. | Yunhyeok Kwak, Inwoo Hwang, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Learning Geometry-aware Representations by Sketching. | Hyundo Lee, Inwoo Hwang, Hyunsung Go, Won-Seok Choi, Kibeom Kim, Byoung-Tak Zhang |
| 2023 | ICCV | Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. | Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang |
| 2023 | ICRA | Robust Map Fusion with Visual Attention Utilizing Multi-agent Rendezvous. | Jaein Kim, Dong-Sig Han, Byoung-Tak Zhang |
| 2023 | ICRA | EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object. | Hyunseo Kim, Hye Jung Yoon, Minji Kim, Dong-Sig Han, Byoung-Tak Zhang |
| 2023 | IROS | GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation. | Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Suyeon Shin, Byoung-Tak Zhang |
| 2022 | ACL | 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 |
| 2022 | CVPR | Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness. | Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang |
| 2022 | CVPR | Improving Robustness to Texture Bias via Shape-focused Augmentation. | Sangjun Lee, Inwoo Hwang, Gi-Cheon Kang, Byoung-Tak Zhang |
| 2022 | EMNLP | Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. | Minjoon Jung, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang |
| 2022 | IJCAI | PlaceNet: Neural Spatial Representation Learning with Multimodal Attention. | Chung-Yeon Lee, Youngjae Yoo, Byoung-Tak Zhang |
| 2022 | ICRA | From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. | Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang |
| 2021 | AAAI | DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. | Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee, Byoung-Tak Zhang |
| 2021 | ACL | Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering. | Ahjeong Seo, Gi-Cheon Kang, Joonhan Park, Byoung-Tak Zhang |
| 2021 | CogSci | Passive Versus Active: Frameworks of Active Learning for Linking Humans to Machines. | Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park |
| 2021 | EMNLP | Devil's Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification. | Hwiyeol Jo, Jaeseo Lim, Byoung-Tak Zhang |
| 2021 | EMNLP | Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer. | Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim |
| 2021 | ICASSP | Co-Attentional Transformers for Story-Based Video Understanding. | Bjrn Bebensee, Byoung-Tak Zhang |
| 2021 | ICMI | Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. | Junseok Park, Kwanyoung Park, Hyunseok Oh, Ganghun Lee, Minsu Lee, Youngki Lee, Byoung-Tak Zhang |
| 2021 | ICML | Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. | Taehyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J. Lim, Byoung-Tak Zhang |
| 2021 | ICRA | Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots. | Youngjae Yoo, Chung-Yeon Lee, Byoung-Tak Zhang |
| 2021 | RoboCup | 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, Hyun-Jun Jo, Byoung-Tak Zhang, Jae-Bok Song, Seung-Joon Yi |
| 2020 | AAAI | 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 |
| 2020 | CogSci | Effect of Active Pre-Learning Activities on Humans and Machines. | Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park |
| 2020 | CVPR | Hierarchical Color Learning in Convolutional Neural Networks. | Chris Hickey, Byoung-Tak Zhang |
| 2020 | CVPR | Hypergraph Attention Networks for Multimodal Learning. | Eun-Sol Kim, Woo-Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang |
| 2020 | ICASSP | Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning. | Taehyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang |
| 2019 | ACL | 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 |
| 2019 | CogSci | Modeling Delay Discounting using Gaussian Process with Active Learning. | Jorge Chang, Jiseob Kim, Byoung-Tak Zhang, Mark A. Pitt, Jay I. Myung |
| 2019 | CogSci | Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models. | Sungjae Cho, Jaeseo Lim, Chris Hickey, Byoung-Tak Zhang |
| 2019 | EMNLP | Dual Attention Networks for Visual Reference Resolution in Visual Dialog. | Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang |
| 2018 | AAAI | 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 |
| 2018 | ECCV | Multimodal Dual Attention Memory for Video Story Question Answering. | Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang |
| 2018 | ECCV | Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification. | Eun-Sol Kim, Kyoung-Woon On, Jongseok Kim, Yu-Jung Heo, Seong-Ho Choi, Hyun-Dong Lee, Byoung-Tak Zhang |
| 2018 | ICRA | Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots. | Beom-Jin Lee, Jinyoung Choi, Christina Baek, Byoung-Tak Zhang |
| 2017 | AAAI | Multi-Focus Attention Network for Efficient Deep Reinforcement Learning. | Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang |
| 2017 | ICDAR | Into the Colorful World of Webtoons: Through the Lens of Neural Networks. | Ceyda Cinarel, Byoung-Tak Zhang |
| 2017 | ICDAR | Extremely Sparse Deep Learning Using Inception Modules with Dropfilters. | Woo-Young Kang, Kyung-Wha Park, Byoung-Tak Zhang |
| 2017 | ICLR | Hadamard Product for Low-rank Bilinear Pooling. | Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang |
| 2017 | IJCAI | Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks. | Cheolho Han, Sang-Woo Lee, Yu-Jung Heo, Woo-Young Kang, Jaehyun Jun, Byoung-Tak Zhang |
| 2017 | IJCAI | DeepStory: Video Story QA by Deep Embedded Memory Networks. | Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, Byoung-Tak Zhang |
| 2016 | IJCAI | DeepSchema: Automatic Schema Acquisition from Wearable Sensor Data in Restaurant Situations. | Eun-Sol Kim, Kyoung-Woon On, Byoung-Tak Zhang |
| 2016 | IJCAI | Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors. | Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jiwon Kim, Jeonghee Kim, Byoung-Tak Zhang |
| 2015 | AAAI | Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos. | JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang |
| 2015 | HAI | Analyzing Human Behavioral Data to Interact with Restaurant Server Agents. | Eun-Sol Kim, Kyoung-Woon On, Byoung-Tak Zhang |
| 2015 | WWW | Deep Learning for the Web. | Kyomin Jung, Byoung-Tak Zhang, Prasenjit Mitra |
| 2014 | AAAI | Uncovering Response Biases in Recommendation. | Kyung-Wha Park, Byoung-Hee Kim, Tae-Suh Park, Byoung-Tak Zhang |
| 2014 | CogSci | Effective EEG Connectivity Analysis of Episodic Memory Retrieval. | Chung-yeon Lee, Byoung-Tak Zhang |
| 2013 | CEC | Evolutionary concept learning from cartoon videos by multimodal hypernetworks. | Beom-Jin Lee, JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang |
| 2013 | CogSci | Estimating Multiple Evoked Emotions from Videos. | Wonhee Choe, Hyo-Sun Chun, Junhyug Noh, Seong-Deok Lee, Byoung-Tak Zhang |
| 2013 | ICONIP | Online Incremental Structure Learning of Sum-Product Networks. | Sang-Woo Lee, Min-Oh Heo, Byoung-Tak Zhang |
| 2013 | ICRA | 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 |
| 2012 | CEC | Evolutionary particle filtering for sequential dependency learning from video data. | Jun Hee Yoo, Ho-Sik Seok, Byoung-Tak Zhang |
| 2012 | CogSci | Hierarchical Slow-Feature Models of Gesture Conversation. | Jiseob Kim, Sooyong Jang, Eun-Sol Kim, Byoung-Tak Zhang |
| 2012 | CogSci | '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 |
| 2012 | CogSci | Neural Correlates of Episodic Memory Formation in Audio-Visual Pairing Tasks. | Chung-yeon Lee, Beom-Jin Lee, Joon Shik Kim, Byoung-Tak Zhang |
| 2012 | CogSci | Effect of Saliency-Based Masking in Scene Classification. | Tae-Suh Park, Byoung-Tak Zhang |
| 2012 | CogSci | Sparse Population Code Models of Word Learning in Concept Drift. | Byoung-Tak Zhang, JungWoo Ha, Myunggu Kang |
| 2012 | IROS | 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 |
| 2012 | SMC | Text-to-image retrieval based on incremental association via multimodal hypernetworks. | JungWoo Ha, Beom-Jin Lee, Byoung-Tak Zhang |
| 2011 | CEC | Mutual information-based evolution of hypernetworks for brain data analysis. | Eun-Sol Kim, JungWoo Ha, Wi Hoon Jung, Joon Hwan Jang, Jun Soo Kwon, Byoung-Tak Zhang |
| 2011 | CEC | 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 |
| 2011 | CEC | Evolving a population code for multimodal concept learning. | Bado Lee, Ho-Sik Seok, Byoung-Tak Zhang |
| 2011 | IROS | 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 |
| 2011 | ICRA | Learning full body push recovery control for small humanoid robots. | Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee |
| 2010 | AAAI | Online Learning of Uneven Terrain for Humanoid Bipedal Walking. | Seung-Joon Yi, Byoung-Tak Zhang, Daniel D. Lee |
| 2010 | CEC | Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules. | Soo-Jin Kim, JungWoo Ha, Bado Lee, Byoung-Tak Zhang |
| 2010 | PKAW | MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory. | Umer Fareed, Byoung-Tak Zhang |
| 2010 | PRICAI | Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval. | JungWoo Ha, Byoung-Hee Kim, Bado Lee, Byoung-Tak Zhang |
| 2010 | PRICAI | Visual Query Expansion via Incremental Hypernetwork Models of Image and Text. | Min-Oh Heo, Myunggu Kang, Byoung-Tak Zhang |
| 2009 | BIBE | 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 |
| 2009 | CEC | 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 |
| 2009 | GECCO | Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. | Jakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang |
| 2008 | IJCNN | Cognitive learning and the multimodal memory game: Toward human-level machine learning. | Byoung-Tak Zhang |
| 2007 | BIBE | Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm. | Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Cho, Byoung-Tak Zhang |
| 2007 | CEC | Evolving hypernetwork classifiers for microRNA expression profile analysis. | Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang |
| 2007 | CEC | Evolving hypernetworks for pattern classification. | Joo-Kyung Kim, Byoung-Tak Zhang |
| 2007 | EMO | Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm. | In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang |
| 2007 | GECCO | Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. | JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang |
| 2006 | CEC | Text Classifiers Evolved on a Simulated DNA Computer. | Sun Kim, Min-Oh Heo, Byoung-Tak Zhang |
| 2006 | DNA | DNA Hypernetworks for Information Storage and Retrieval. | Byoung-Tak Zhang, Joo-Kyung Kim |
| 2006 | ICONIP | Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2006 | ICONIP | Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis. | Kyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang |
| 2006 | ISNN | Mining Protein Interaction from Biomedical Literature with Relation Kernel Method. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2006 | PAKDD | A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. | Jae-Hong Eom, Sun Kim, Seong-Hwan Kim, Byoung-Tak Zhang |
| 2005 | CIBCB | 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 |
| 2005 | DNA | Molecular Learning of wDNF Formulae. | Byoung-Tak Zhang, Ha-Young Jang |
| 2005 | GECCO | Molecular programming: evolving genetic programs in a test tube. | Byoung-Tak Zhang, Ha-Young Jang |
| 2005 | ICANN | Prediction of | Jae-Hong Eom, Byoung-Tak Zhang |
| 2005 | KES | Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2004 | AIMSA | PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2004 | CICLING | Korean Compound Noun Decomposition Using Syllabic Information Only. | Seong-Bae Park, Jeong Ho Chang, Byoung-Tak Zhang |
| 2004 | CIT | BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform. | Jae-Hong Eom, Byoung-Tak Zhang |
| 2004 | CIT | Adaptive Neural Network-Based Clustering of | Jae-Hong Eom, Byoung-Tak Zhang |
| 2004 | DNA | 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 |
| 2004 | DNA | A Bayesian Algorithm for In Vitro Molecular Evolution of Pattern Classifiers. | Byoung-Tak Zhang, Ha-Young Jang |
| 2004 | ICONIP | 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 |
| 2004 | IDEAL | Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. | Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang |
| 2004 | IDEAL | PromSearch: A Hybrid Approach to Human Core-Promoter Prediction. | Byoung-Hee Kim, Seong-Bae Park, Byoung-Tak Zhang |
| 2004 | IDEAL | Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks. | Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak Zhang |
| 2004 | PPSN | Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model. | Dong-Yeon Cho, Byoung-Tak Zhang |
| 2004 | PPSN | Searching Transcriptional Modules Using Evolutionary Algorithms. | Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang |
| 2004 | PRICAI | Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines. | Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang |
| 2004 | PRICAI | Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection. | In-Hee Lee, Sun Kim, Byoung-Tak Zhang |
| 2004 | PRICAI | Computational Methods for Identification of Human microRNA Precursors. | Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang |
| 2003 | ACL | Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning. | Seong-Bae Park, Byoung-Tak Zhang |
| 2003 | CEC | Molecular immunocomputing with application to alphabetical pattern recognition mimics the characterization of ABO blood type. | Su Dong Kim, Ki-Roo Shin, Byoung-Tak Zhang |
| 2003 | CEC | DNA sequence optimization using constrained multi-objective evolutionary algorithm. | In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang |
| 2003 | DEXA | Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost. | Seong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang |
| 2003 | DNA | RCA-Based Detection Methods for Resolution Refutation. | In-Hee Lee, Ji-Yoon Park, Young-Gyu Chai, Byoung-Tak Zhang |
| 2003 | DNA | 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 |
| 2003 | IDEAL | Classification of the Risk Types of Human Papillomavirus by Decision Trees. | Seong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang |
| 2003 | IDEAL | Automatic Webpage Classification Enhanced by Unlabeled Data. | Seong-Bae Park, Byoung-Tak Zhang |
| 2003 | PAKDD | An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition. | Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang |
| 2003 | PAKDD | Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information. | Seong-Bae Park, Byoung-Tak Zhang |
| 2002 | CEC | Evolutionary optimization by distribution estimation with mixtures of factor analyzers. | Dong-Yeon Cho, Byoung-Tak Zhang |
| 2002 | CEC | Evolutionary sequence generation for reliable DNA computing. | Soo-Yong Shin, Dongmin Kim, In-Hee Lee, Byoung-Tak Zhang |
| 2002 | COLING | A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation. | Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang |
| 2002 | DNA | NACST/Seq: A Sequence Design System with Multiobjective Optimization. | Dongmin Kim, Soo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang |
| 2002 | DNA | DNA Implementation of Theorem Proving with Resolution Refutation in Propositional Logic. | In-Hee Lee, Ji-Yoon Park, Hae-Man Jang, Young-Gyu Chai, Byoung-Tak Zhang |
| 2002 | DNA | 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 |
| 2002 | DNA | Version Space Learning with DNA Molecules. | Hee-Woong Lim, Ji-Eun Yun, Hae-Man Jang, Young-Gyu Chai, Suk-In Yoo, Byoung-Tak Zhang |
| 2002 | ICML | Stock Trading System Using Reinforcement Learning with Cooperative Agents. | Jangmin O, Jae Won Lee, Byoung-Tak Zhang |
| 2002 | ICML | A Boosted Maximum Entropy Model for Learning Text Chunking. | Seong-Bae Park, Byoung-Tak Zhang |
| 2002 | PRICAI | Topic Extraction from Text Documents Using Multiple-Cause Networks. | Jeong Ho Chang, Jae Won Lee, Yuseop Kim, Byoung-Tak Zhang |
| 2002 | PRICAI | Construction of Large-Scale Bayesian Networks by Local to Global Search. | Kyu Baek Hwang, Jae Won Lee, Seung-Woo Chung, Byoung-Tak Zhang |
| 2002 | PRICAI | Target Word Selection Using WordNet and Data-Driven Models in Machine Translation. | Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang |
| 2001 | CEC | Continuous estimation of distribution algorithms with probabilistic principal component analysis. | Dong-Yeon Cho, Byoung-Tak Zhang |
| 2001 | CEC | Actively searching for committees of RBF networks using Bayesian evolutionary computation. | Je-Gun Joung, Byoung-Tak Zhang |
| 2001 | CEC | Evolutionary learning of Web-document structure for information retrieval. | Sun Kim, Byoung-Tak Zhang |
| 2001 | CEC | Convergence properties of Bayesian evolutionary algorithms with population size greater than 1. | Si-Eun Lee, Byoung-Tak Zhang, Arnaud Doucet |
| 2001 | CEC | Evolutionary calibration of sensors using genetic programming on evolvable hardware. | Ho-Sik Seok, Byoung-Tak Zhang |
| 2001 | CEC | Bayesian evolutionary algorithms for continuous function optimization. | Soo-Yong Shin, Byoung-Tak Zhang |
| 2000 | ACL | Word Sense Disambiguation by Learning from Unlabeled Data. | Seong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim |
| 2000 | CEC | Bayesian evolutionary algorithms for evolving neural tree models of time series data. | Dong-Yeon Cho, Byoung-Tak Zhang |
| 2000 | CEC | Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains. | Byoung-Tak Zhang, Gerhard Paass, Heinz Mhlenbein |
| 2000 | EMNLP | Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model. | Sung Dong Kim, Byoung-Tak Zhang, Yung Tack Kim |
| 2000 | IUI | A reinforcement learning agent for personalized information filtering. | Young-Woo Seo, Byoung-Tak Zhang |
| 2000 | PPSN | Building Optimal Committees of Genetic Programs. | Byoung-Tak Zhang, Je-Gun Joung |
| 2000 | PPSN | Bayesian Evolutionary Optimization Using Helmholtz Machines. | Byoung-Tak Zhang, Soo-Yong Shin |
| 2000 | PRICAI | Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags. | Sun Kim, Byoung-Tak Zhang |
| 2000 | SMC | 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 |
| 2000 | SIGIR | Text filtering by boosting naive bayes classifiers. | Yu-Hwan Kim, Shang-Yoon Hahn, Byoung-Tak Zhang |
| 1999 | CEC | Effects of selection schemes in genetic programming for time series prediction. | Jung-Jib Kim, Byoung-Tak Zhang |
| 1999 | CEC | Solving traveling salesman problems using molecular programming. | Soo-Yong Shin, Byoung-Tak Zhang, Sung-Soo Jun |
| 1999 | CEC | A Bayesian framework for evolutionary computation. | Byoung-Tak Zhang |
| 1999 | CEC | Time series prediction using committee machines of evolutionary neural trees. | Byoung-Tak Zhang, Je-Gun Joung |
| 1999 | IJCNN | Combining locally trained neural networks by introducing a reject class. | Suk-Joon Kim, Byoung-Tak Zhang |
| 1999 | IJCNN | Temporal pattern recognition using a spiking neural network with delays. | Jeong-woo Sohn, Byoung-Tak Zhang, Bong-Kiun Kaang |
| 1998 | ICONIP | Active Data Partitioning for Building Mixture Models. | Suk-Joon Kim, Byoung-Tak Zhang |
| 1997 | ICEC | Using a genetic algorithm for communication link partitioning. | Ju-Hyun Lee, Yanghee Choi, Byoung-Tak Zhang, Chongsang Kim |
| 1994 | ICEC | Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming. | Byoung-Tak Zhang, Heinz Mhlenbein |
| 1994 | PPSN | Effects of Occam's Razor in Evolving Sigma-Pi Neural Nets. | Byoung-Tak Zhang |
| 1990 | COLING | Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules. | Byoung-Tak Zhang, Yung Taek Kim |