Byoung-Tak Zhang

391 papers A* 48A 19B 76C 16Misc 4Journal 166Unranked 60

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Climb With SHERPA: Heuristic-Guided Reinforcement Learning via Segmented Experience Relay. IEEE Robotics Autom. Lett. Minji Kim, Ganghun Lee, Minsu Lee, Byoung-Tak Zhang
2026	J	`jnl`	Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning. IEEE Access Min Whoo Lee, Yunsu Lee, Kibeom Kim, Soo Wung Shin, Jun Ki Lee, Minsu Lee, Byoung-Tak Zhang
2026	J	`jnl`	Confidence Controls Deep Metric Learning. Mach. Learn. Jinhee Park, Hee Bin Yoo, Byoung-Tak Zhang, Junseok Kwon
2026	J	`jnl`	Habilis-β: A Fast-Motion and Long-Lasting On-Device Vision-Language-Action Model. CoRR Jesoon Kang, Taegeon Park, Jisu An, Soo Min Kimm, Jaejoon Kim, Jinu Pahk, Byungju Kim, Junseok Lee, Namheon Baek, Sungwan Ha, Hojun Baek, Eduardo Ayerve Cruz, Wontae Kim, Junghyeon Choi, Yousuk Lee, Joonmo Han, Sunghyun Cho, Sunghyun Kwon, Soyoung Lee, Jun Ki Lee, Seung-Joon Yi, Byoung-Tak Zhang, Theo Taeyeong Kim
2026	J	`jnl`	Learning Coordinate-based Convolutional Kernels for Continuous SE(3) Equivariant and Efficient Point Cloud Analysis. CoRR Jaein Kim, Hee Bin Yoo, Dong-Sig Han, Byoung-Tak Zhang
2026	A*	`conf`	Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning. AAAI Jinhee Park, Hee Bin Yoo, Minjun Kim, Byoung-Tak Zhang, Junseok Kwon
2026	J	`jnl`	One-Shot 3-D Affordance Learning for Multi-Stage Robotic Manipulation. IEEE Access Hyunseo Kim, Yeon-Ji Song, Minsu Lee, Byoung-Tak Zhang
2026	A*	`conf`	PeriUn: Enhancing Unlearning by Selectively Forgetting Peripheral Samples. AAAI Hee Bin Yoo, Dong-Sig Han, Jaein Kim, Byoung-Tak Zhang
2026	A*	`conf`	Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion Models. AAAI Hyundo Lee, Suhyung Choi, Inwoo Hwang, Byoung-Tak Zhang
2026	J	`jnl`	Voronoi-based Second-order Descriptor with Whitened Metric in LiDAR Place Recognition. CoRR Jaein Kim, Hee Bin Yoo, Dong-Sig Han, Byoung-Tak Zhang
2025	A	`conf`	Background-Aware Moment Detection for Video Moment Retrieval. WACV Minjoon Jung, Youwon Jang, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang
2025	A	`conf`	CDIS : Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging. IROS Juno Kim, Hye Jung Yoon, Yesol Park, Byoung-Tak Zhang
2025	J	`jnl`	Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning. CoRR Min Whoo Lee, Kibeom Kim, Soo Wung Shin, Minsu Lee, Byoung-Tak Zhang
2025	A*	`conf`	Confidence-guided Refinement Reasoning for Zero-shot Question Answering. EMNLP Youwon Jang, Woo Suk Choi, Minjoon Jung, Minsu Lee, Byoung-Tak Zhang
2025	J	`jnl`	Confidence-guided Refinement Reasoning for Zero-shot Question Answering. CoRR Youwon Jang, Woo Suk Choi, Minjoon Jung, Minsu Lee, Byoung-Tak Zhang
2025	A*	`conf`	DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation. ICRA Yesol Park, Hye Jung Yoon, Juno Kim, Byoung-Tak Zhang
2025	J	`jnl`	DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting. CoRR Yeon-Ji Song, Jaein Kim, Byung-Ju Kim, Byoung-Tak Zhang
2025	J	`jnl`	ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning. CoRR Byungju Kim, Jinu Pahk, Chungwoo Lee, Jaejoon Kim, Jangha Lee, Theo Taeyeong Kim, Kyuhwan Shim, Jun Ki Lee, Byoung-Tak Zhang
2025	J	`jnl`	EgoExo-Con: Exploring View-Invariant Video Temporal Understanding. CoRR Minjoon Jung, Junbin Xiao, Junghyun Kim, Byoung-Tak Zhang, Angela Yao
2025	J	`jnl`	Exploring Ordinal Bias in Action Recognition for Instructional Videos. CoRR Joochan Kim, Minjoon Jung, Byoung-Tak Zhang
2025	J	`jnl`	From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning. CoRR Junseok Park, Hyeonseo Yang, Min Whoo Lee, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang
2025	J	`jnl`	INQUIRER: Harnessing internal knowledge graphs for video question generation. Knowl. Based Syst. Woo Suk Choi, Youwon Jang, Minsu Lee, Byoung-Tak Zhang
2025	J	`jnl`	Instruction-tuned Self-Questioning Framework for Multimodal Reasoning. CoRR Youwon Jang, Yu-Jung Heo, Jaeseok Kim, Minsu Lee, Du-Seong Chang, Byoung-Tak Zhang
2025	J	`jnl`	Locality-aware Concept Bottleneck Model. CoRR Sujin Jeon, Hyundo Lee, Eungseo Kim, Sanghack Lee, Byoung-Tak Zhang, Inwoo Hwang
2025	J	`jnl`	OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference. CoRR Won-Seok Choi, Dong-Sig Han, Suhyung Choi, Hyeonseo Yang, Byoung-Tak Zhang
2025	J	`jnl`	OV-MAP : Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots. CoRR Juno Kim, Yesol Park, Hye Jung Yoon, Byoung-Tak Zhang
2025	A*	`conf`	On the Consistency of Video Large Language Models in Temporal Comprehension. CVPR Minjoon Jung, Junbin Xiao, Byoung-Tak Zhang, Angela Yao
2025	—	`conf`	Relaxed HLP: A Metric for Flexible High-Level Plan Evaluation in Embodied Environments. BigComp Suyeon Shin, Byoung-Tak Zhang
2025	J	`jnl`	Rethinking Metric Learning: Enhancing Generalization to Unseen Classes. IEEE Access Jinhee Park, Hee Bin Yoo, Byoung-Tak Zhang, Junseok Kwon
2025	A*	`conf`	Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following. ICRA Suyeon Shin, Sujin Jeon, Junghyun Kim, Gi-Cheon Kang, Byoung-Tak Zhang
2025	J	`jnl`	Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion Models. CoRR Hyundo Lee, Suhyung Choi, Byoung-Tak Zhang, Inwoo Hwang
2025	A*	`conf`	Truncated Gaussian Policy for Debiased Continuous Control. AAAI Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang
2025	J	`jnl`	Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge. CoRR Dong-Sig Han, Jaein Kim, Hee Bin Yoo, Byoung-Tak Zhang
2025	J	`jnl`	Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge. Trans. Mach. Learn. Res. Dong-Sig Han, Jaein Kim, Hee Bin Yoo, Byoung-Tak Zhang
2024	J	`jnl`	ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty. CoRR Hyunseo Kim, Hyeonseo Yang, Taekyung Kim, Yoonsung Kim, Jin-Hwa Kim, Byoung-Tak Zhang
2024	J	`jnl`	CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision. CoRR Gi-Cheon Kang, Junghyun Kim, Kyuhwan Shim, Jun Ki Lee, Byoung-Tak Zhang
2024	B	`conf`	CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding. CogSci Minjung Shin, Seongho Choi, Yu-Jung Heo, Minsu Lee, Byoung-Tak Zhang, Jeh-Kwang Ryu
2024	J	`jnl`	Continual Vision-and-Language Navigation. CoRR Seongjun Jeong, Gi-Cheon Kang, Seongho Choi, Joochan Kim, Byoung-Tak Zhang
2024	—	`conf`	Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis. ECCV (52) Jaein Kim, Hee Bin Yoo, Dong-Sig Han, Yeon-Ji Song, Byoung-Tak Zhang
2024	A*	`conf`	DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning. AAAI Won-Seok Choi, Hyundo Lee, Dong-Sig Han, Junseok Park, Heeyeon Koo, Byoung-Tak Zhang
2024	J	`jnl`	DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning. CoRR Won-Seok Choi, Hyundo Lee, Dong-Sig Han, Junseok Park, Heeyeon Koo, Byoung-Tak Zhang
2024	A	`conf`	Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction. UAI Yunhyeok Kwak, Inwoo Hwang, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang
2024	J	`jnl`	Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction. CoRR Yunhyeok Kwak, Inwoo Hwang, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang
2024	A*	`conf`	Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning. ICML Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee
2024	J	`jnl`	Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning. CoRR Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang, Sanghack Lee
2024	A*	`conf`	HAPFI: History-Aware Planning based on Fused Information. ICRA Sujin Jeon, Suyeon Shin, Byoung-Tak Zhang
2024	J	`jnl`	HAPFI: History-Aware Planning based on Fused Information. CoRR Sujin Jeon, Suyeon Shin, Byoung-Tak Zhang
2024	A*	`conf`	Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter. ICRA Seunghyeon Lim, Youngjae Yoo, Jun Ki Lee, Byoung-Tak Zhang
2024	J	`jnl`	Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter. CoRR Seunghyeon Lim, Youngjae Yoo, Jun Ki Lee, Byoung-Tak Zhang
2024	J	`jnl`	Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots. CoRR Youngjae Yoo, Chung-Yeon Lee, Byoung-Tak Zhang
2024	A	`conf`	OV-MAP : Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots. IROS Juno Kim, Yesol Park, Hye Jung Yoon, Byoung-Tak Zhang
2024	J	`jnl`	On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition. CoRR Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee
2024	J	`jnl`	On the Consistency of Video Large Language Models in Temporal Comprehension. CoRR Minjoon Jung, Junbin Xiao, Byoung-Tak Zhang, Angela Yao
2024	A	`conf`	PGA: Personalizing Grasping Agents with Single Human-Robot Interaction. IROS Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Seoyun Yang, Minjoon Jung, Byoung-Tak Zhang
2024	A*	`conf`	PROGrasp: Pragmatic Human-Robot Communication for Object Grasping. ICRA Gi-Cheon Kang, Junghyun Kim, Jaein Kim, Byoung-Tak Zhang
2024	A	`conf`	Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking. IROS Hye Jung Yoon, Juno Kim, Yesol Park, Jun-Ki Lee, Byoung-Tak Zhang
2024	J	`jnl`	Socratic Planner: Inquiry-Based Zero-Shot Planning for Embodied Instruction Following. CoRR Suyeon Shin, Sujin Jeon, Junghyun Kim, Gi-Cheon Kang, Byoung-Tak Zhang
2024	J	`jnl`	Unsupervised Dynamics Prediction with Object-Centric Kinematics. CoRR Yeon-Ji Song, Suhyung Choi, Jaein Kim, Jin-Hwa Kim, Byoung-Tak Zhang
2024	A*	`conf`	Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. AAAI Junseok Park, Yoonsung Kim, Hee Bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang
2024	J	`jnl`	Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. CoRR Junseok Park, Yoonsung Kim, Hee Bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang
2024	J	`jnl`	Visual Hindsight Self-Imitation Learning for Interactive Navigation. IEEE Access Kibeom Kim, Moonhoen Lee, Min Whoo Lee, Kisung Shin, Minsu Lee, Byoung-Tak Zhang
2024	J	`jnl`	Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment. CoRR Seongjun Jeong, Gi-Cheon Kang, Joochan Kim, Byoung-Tak Zhang
2023	A*	`conf`	EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object. ICRA Hyunseo Kim, Hye Jung Yoon, Minji Kim, Dong-Sig Han, Byoung-Tak Zhang
2023	J	`jnl`	EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object. CoRR Hyunseo Kim, Hye Jung Yoon, Minji Kim, Dong-Sig Han, Byoung-Tak Zhang
2023	A	`conf`	GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation. IROS Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Suyeon Shin, Byoung-Tak Zhang
2023	J	`jnl`	GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation. CoRR Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Suyeon Shin, Byoung-Tak Zhang
2023	J	`jnl`	L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning. CoRR Kibeom Kim, Hyundo Lee, Min Whoo Lee, Moonheon Lee, Minsu Lee, Byoung-Tak Zhang
2023	A*	`conf`	Learning Geometry-aware Representations by Sketching. CVPR Hyundo Lee, Inwoo Hwang, Hyunsung Go, Won-Seok Choi, Kibeom Kim, Byoung-Tak Zhang
2023	J	`jnl`	Learning Geometry-aware Representations by Sketching. CoRR Hyundo Lee, Inwoo Hwang, Hyunsung Go, Won-Seok Choi, Kibeom Kim, Byoung-Tak Zhang
2023	A*	`conf`	Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. ICCV Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang
2023	J	`jnl`	Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. CoRR Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang
2023	—	`conf`	On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition. CLeaR Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee
2023	J	`jnl`	Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval. CoRR Minjoon Jung, Youwon Jang, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang
2023	J	`jnl`	PGA: Personalizing Grasping Agents with Single Human-Robot Interaction. CoRR Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Seoyun Yang, Minjoon Jung, Byoung-Tak Zhang
2023	J	`jnl`	PROGrasp: Pragmatic Human-Robot Communication for Object Grasping. CoRR Gi-Cheon Kang, Junghyun Kim, Jaein Kim, Byoung-Tak Zhang
2023	A*	`conf`	Robust Map Fusion with Visual Attention Utilizing Multi-agent Rendezvous. ICRA Jaein Kim, Dong-Sig Han, Byoung-Tak Zhang
2023	A*	`conf`	The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. CVPR Gi-Cheon Kang, Sungdong Kim, Jin-Hwa Kim, Donghyun Kwak, Byoung-Tak Zhang
2023	J	`jnl`	Video Turing Test: A first step towards human-level AI. AI Mag. Minsu Lee, Yu-Jung Heo, Seongho Choi, Woo Suk Choi, Byoung-Tak Zhang
2023	J	`jnl`	Visual Hindsight Self-Imitation Learning for Interactive Navigation. CoRR Kibeom Kim, Kisung Shin, Min Whoo Lee, Moonhoen Lee, Minsu Lee, Byoung-Tak Zhang
2022	J	`jnl`	Cross-Modal Alignment Learning of Vision-Language Conceptual Systems. CoRR TaeHyeong Kim, Hyeonseop Song, Byoung-Tak Zhang
2022	J	`jnl`	DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning. CoRR Won-Seok Choi, Dong-Sig Han, Hyundo Lee, Junseok Park, Byoung-Tak Zhang
2022	J	`jnl`	Editorial: Task planning and motion control problems of service robots in human-centered environments. Intell. Serv. Robotics Hyungpil Moon, Byoung-Tak Zhang, Changjoo Nam
2022	A*	`conf`	From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. ICRA Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang
2022	J	`jnl`	From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. CoRR Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang
2022	—	`conf`	Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering. ACL (1) Yu-Jung Heo, Eun-Sol Kim, Woo Suk Choi, Byoung-Tak Zhang
2022	J	`jnl`	Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering. CoRR Yu-Jung Heo, Eun-Sol Kim, Woo Suk Choi, Byoung-Tak Zhang
2022	—	`conf`	Improving Robustness to Texture Bias via Shape-focused Augmentation. CVPR Workshops Sangjun Lee, Inwoo Hwang, Gi-Cheon Kang, Byoung-Tak Zhang
2022	J	`jnl`	Learning to Write with Coherence From Negative Examples. CoRR Seonil Son, Jaeseo Lim, Youwon Jang, Jaeyoung Lee, Byoung-Tak Zhang
2022	A*	`conf`	Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. EMNLP Minjoon Jung, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang
2022	J	`jnl`	Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. CoRR Minjoon Jung, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang
2022	J	`jnl`	On the Importance of Critical Period in Multi-stage Reinforcement Learning. CoRR Junseok Park, Inwoo Hwang, Min Whoo Lee, Hyunseok Oh, Minsu Lee, Youngki Lee, Byoung-Tak Zhang
2022	A*	`conf`	PlaceNet: Neural Spatial Representation Learning with Multimodal Attention. IJCAI Chung-Yeon Lee, Youngjae Yoo, Byoung-Tak Zhang
2022	A*	`conf`	Robust Imitation via Mirror Descent Inverse Reinforcement Learning. NeurIPS Dong-Sig Han, Hyunseo Kim, Hyundo Lee, Je-Hwan Ryu, Byoung-Tak Zhang
2022	J	`jnl`	Robust Imitation via Mirror Descent Inverse Reinforcement Learning. CoRR Dong-Sig Han, Hyunseo Kim, Hyundo Lee, Je-Hwan Ryu, Byoung-Tak Zhang
2022	J	`jnl`	SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation. CoRR Woo Suk Choi, Yu-Jung Heo, Byoung-Tak Zhang
2022	A*	`conf`	SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
2022	J	`jnl`	SelecMix: Debiased Learning by Contradicting-pair Sampling. CoRR Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
2022	A*	`conf`	Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness. CVPR Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang
2022	J	`jnl`	Team Tidyboy at the WRS 2020: a modular software framework for home service robots. Adv. Robotics Taewoong Kang, Dongwoon Song, Jae-Bong Yi, Joonyoung Kim, Chung-Yeon Lee, Youngjae Yoo, Minji Kim, Hyun-Jun Jo, Byoung-Tak Zhang, Jae-Bok Song, Seung-Joon Yi
2022	J	`jnl`	The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. CoRR Gi-Cheon Kang, Sungdong Kim, Jin-Hwa Kim, Dong-Hyun Kwak, Byoung-Tak Zhang
2022	J	`jnl`	Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. CoRR Junseok Park, Kwanyoung Park, Hyunseok Oh, Ganghun Lee, Minsu Lee, Youngki Lee, Byoung-Tak Zhang
2021	—	`conf`	Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering. ACL/IJCNLP (1) Ahjeong Seo, Gi-Cheon Kang, Joonhan Park, Byoung-Tak Zhang
2021	J	`jnl`	Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering. CoRR Ahjeong Seo, Gi-Cheon Kang, Joonhan Park, Byoung-Tak Zhang
2021	Misc	`conf`	Co-Attentional Transformers for Story-Based Video Understanding. ICASSP Björn Bebensee, Byoung-Tak Zhang
2021	J	`jnl`	CogME: A Novel Evaluation Metric for Video Understanding Intelligence. CoRR Minjung Shin, Jeonghoon Kim, Seongho Choi, Yu-Jung Heo, Donghyun Kim, Minsu Lee, Byoung-Tak Zhang, Jeh-Kwang Ryu
2021	—	`conf`	Devil's Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification. EMNLP (Findings) Hwiyeol Jo, Jaeseo Lim, Byoung-Tak Zhang
2021	A*	`conf`	DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. AAAI Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee, Byoung-Tak Zhang
2021	A*	`conf`	Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning. NeurIPS Kibeom Kim, Min Whoo Lee, Yoonsung Kim, Je-Hwan Ryu, Minsu Lee, Byoung-Tak Zhang
2021	J	`jnl`	Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning. CoRR Kibeom Kim, Min Whoo Lee, Yoonsung Kim, Je-Hwan Ryu, Minsu Lee, Byoung-Tak Zhang
2021	J	`jnl`	Learning task-agnostic representation via toddler-inspired learning. CoRR Kwanyoung Park, Junseok Park, Hyunseok Oh, Byoung-Tak Zhang, Youngki Lee
2021	J	`jnl`	Leveraging node neighborhoods and egograph topology for better bot detection in social graphs. Soc. Netw. Anal. Min. Björn Bebensee, Nagmat Nazarov, Byoung-Tak Zhang
2021	J	`jnl`	M2FN: Multi-step Modality Fusion for Advertisement Image Assessment. CoRR Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang
2021	J	`jnl`	M2FN: Multi-step modality fusion for advertisement image assessment. Appl. Soft Comput. Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang
2021	A*	`conf`	Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. ICML TaeHyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Joseph J. Lim, Byoung-Tak Zhang
2021	J	`jnl`	Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering. CoRR Donggeon Lee, Seongho Choi, Youwon Jang, Byoung-Tak Zhang
2021	A*	`conf`	Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots. ICRA Youngjae Yoo, Chung-Yeon Lee, Byoung-Tak Zhang
2021	B	`conf`	Passive Versus Active: Frameworks of Active Learning for Linking Humans to Machines. CogSci Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park
2021	—	`conf`	Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer. EMNLP (Findings) Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim
2021	C	`conf`	RoboCup@Home 2021 Domestic Standard Platform League Winner. RoboCup 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
2021	J	`jnl`	Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness. CoRR Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang
2021	B	`conf`	Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents. ICMI Junseok Park, Kwanyoung Park, Hyunseok Oh, Ganghun Lee, Minsu Lee, Youngki Lee, Byoung-Tak Zhang
2021	J	`jnl`	Toward a Human-Level Video Understanding Intelligence. CoRR Yu-Jung Heo, Minsu Lee, Seongho Choi, Woo Suk Choi, Minjung Shin, Minjoon Jung, Jeh-Kwang Ryu, Byoung-Tak Zhang
2020	J	`jnl`	Co-attentional Transformers for Story-Based Video Understanding. CoRR Björn Bebensee, Byoung-Tak Zhang
2020	A*	`conf`	Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. AAAI Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang
2020	J	`jnl`	Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. CoRR Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang
2020	J	`jnl`	DialGraph: Sparse Graph Learning Networks for Visual Dialog. CoRR Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim
2020	J	`jnl`	DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. CoRR Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Seungchan Lee, Minsu Lee, Byoung-Tak Zhang
2020	B	`conf`	Effect of Active Pre-Learning Activities on Humans and Machines. CogSci Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park
2020	—	`conf`	Hierarchical Color Learning in Convolutional Neural Networks. CVPR Workshops Chris Hickey, Byoung-Tak Zhang
2020	J	`jnl`	Human-Like Active Learning: Machines Simulating the Human Learning Process. CoRR Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park
2020	A*	`conf`	Hypergraph Attention Networks for Multimodal Learning. CVPR Eun-Sol Kim, Woo-Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang
2020	Misc	`conf`	Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning. ICASSP TaeHyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang
2020	J	`jnl`	Label Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning. CoRR TaeHyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang
2020	J	`jnl`	Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning. CoRR TaeHyeong Kim, Injune Hwang, Hyundo Lee, Hyunseo Kim, Won-Seok Choi, Byoung-Tak Zhang
2020	J	`jnl`	Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models. CoRR Dharani Punithan, Byoung-Tak Zhang
2020	—	`conf`	Visual Perception Framework for an Intelligent Mobile Robot. UR Chung-Yeon Lee, Hyundo Lee, Injune Hwang, Byoung-Tak Zhang
2019	J	`jnl`	Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data. Appl. Soft Comput. Soo-Jin Kim, Jung-Woo Ha, Heebal Kim, Byoung-Tak Zhang
2019	—	`conf`	CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication. ACL (1) Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh
2019	J	`jnl`	Compositional Structure Learning for Sequential Video Data. CoRR Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang
2019	J	`jnl`	Constructing Hierarchical Q&A Datasets for Video Story Understanding. CoRR Yu-Jung Heo, Kyoung-Woon On, Seongho Choi, Jaeseo Lim, Jinah Kim, Jeh-Kwang Ryu, Byung-Chull Bae, Byoung-Tak Zhang
2019	J	`jnl`	Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology. CoRR Jiseob Kim, Byoung-Tak Zhang
2019	—	`conf`	Dual Attention Networks for Visual Reference Resolution in Visual Dialog. EMNLP/IJCNLP (1) Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang
2019	J	`jnl`	Dual Attention Networks for Visual Reference Resolution in Visual Dialog. CoRR Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang
2019	J	`jnl`	Encoder-Powered Generative Adversarial Networks. CoRR Jiseob Kim, Seungjae Jung, Hyundo Lee, Byoung-Tak Zhang
2019	B	`conf`	Modeling Delay Discounting using Gaussian Process with Active Learning. CogSci Jorge Chang, Jiseob Kim, Byoung-Tak Zhang, Mark A. Pitt, Jay I. Myung
2019	B	`conf`	Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models. CogSci Sungjae Cho, Jaeseo Lim, Chris Hickey, Byoung-Tak Zhang
2019	J	`jnl`	Ruminating Word Representations with Random Noised Masker. CoRR Hwiyeol Jo, Byoung-Tak Zhang
2019	J	`jnl`	Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models. CoRR Sungjae Cho, Jaeseo Lim, Chris Hickey, Jung Ae Park, Byoung-Tak Zhang
2019	—	`conf`	Spatial Perception by Object-Aware Visual Scene Representation. ICCV Workshops Chung-Yeon Lee, Hyundo Lee, Injune Hwang, Byoung-Tak Zhang
2019	J	`jnl`	Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies. CoRR Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang
2019	J	`jnl`	Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion. CoRR Kyung-Wha Park, Junghoon Lee, Sunyoung Kwon, Jung-Woo Ha, Kyung-Min Kim, Byoung-Tak Zhang
2019	B	`conf`	WithDorm: Dormitory Solution for Linking Roommates. MobileHCI TaeHyeong Kim, Minji Kwak, Seung Hee Yang, Jaeseo Lim, Byoung-Tak Zhang
2018	J	`jnl`	Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue. CoRR Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang
2018	A*	`conf`	Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog. NeurIPS Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang
2018	A*	`conf`	Bilinear Attention Networks. NeurIPS Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang
2018	J	`jnl`	Bilinear Attention Networks. CoRR Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang
2018	J	`jnl`	Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Yung-Kyun Noh, Jihun Hamm, Frank Chongwoo Park, Byoung-Tak Zhang, Daniel D. Lee
2018	J	`jnl`	GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation. CoRR TaeHyeong Kim, Min-Oh Heo, Seonil Son, Kyoung-Wha Park, Byoung-Tak Zhang
2018	J	`jnl`	Generative Local Metric Learning for Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
2018	J	`jnl`	Identifying DNA Methylation Modules Associated with a Cancer by Probabilistic Evolutionary Learning. IEEE Comput. Intell. Mag. Je-Keun Rhee, Soo-Jin Kim, Byoung-Tak Zhang
2018	—	`conf`	Lifelong Learning with the Feedback-loop between Emotions and Actions via Internal Reward. BICA Dharani Punithan, Byoung-Tak Zhang
2018	—	`conf`	Multimodal Dual Attention Memory for Video Story Question Answering. ECCV (15) Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang
2018	J	`jnl`	Multimodal Dual Attention Memory for Video Story Question Answering. CoRR Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang
2018	A*	`conf`	Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning. AAAI 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	A*	`conf`	Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots. ICRA Beom-Jin Lee, Jinyoung Choi, Christina Baek, Byoung-Tak Zhang
2018	—	`conf`	Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification. ECCV Workshops (4) Eun-Sol Kim, Kyoung-Woon On, Jongseok Kim, Yu-Jung Heo, Seong-Ho Choi, Hyun-Dong Lee, Byoung-Tak Zhang
2017	—	`conf`	A novel method to monitor human stress states using ultra-short-term ECG spectral feature. EMBC Bosun Hwang, Jiwoo Ryu, Cheolsoo Park, Byoung-Tak Zhang
2017	J	`jnl`	CoDraw: Visual Dialog for Collaborative Drawing. CoRR Jin-Hwa Kim, Devi Parikh, Dhruv Batra, Byoung-Tak Zhang, Yuandong Tian
2017	—	`conf`	Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks. LaCATODA@IJCAI Cheolho Han, Sang-Woo Lee, Yu-Jung Heo, Woo-Young Kang, Jaehyun Jun, Byoung-Tak Zhang
2017	A*	`conf`	DeepStory: Video Story QA by Deep Embedded Memory Networks. IJCAI Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, Byoung-Tak Zhang
2017	J	`jnl`	DeepStory: Video Story QA by Deep Embedded Memory Networks. CoRR Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, Byoung-Tak Zhang
2017	J	`jnl`	Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors. Neural Networks Sang-Woo Lee, Chung-Yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang
2017	A	`conf`	Extremely Sparse Deep Learning Using Inception Modules with Dropfilters. ICDAR Woo-Young Kang, Kyung-Wha Park, Byoung-Tak Zhang
2017	—	`conf`	Hadamard Product for Low-rank Bilinear Pooling. ICLR (Poster) Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang
2017	J	`jnl`	In vitro molecular machine learning algorithm via symmetric internal loops of DNA. Biosyst. Ji-Hoon Lee, Seung Hwan Lee, Christina Baek, Hyo-Sun Chun, Je-Hwan Ryu, Jin-Woo Kim, Russell J. Deaton, Byoung-Tak Zhang
2017	—	`conf`	Into the Colorful World of Webtoons: Through the Lens of Neural Networks. MANPU@ICDAR Ceyda Cinarel, Byoung-Tak Zhang
2017	J	`jnl`	Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals. CoRR Sungtae Lee, Sang-Woo Lee, Jinyoung Choi, Dong-Hyun Kwak, Byoung-Tak Zhang
2017	—	`conf`	Molecular Associative Memory with Spatial Auto-logistic Model for Pattern Recall. BICA Dharani Punithan, Byoung-Tak Zhang
2017	—	`conf`	Multi-Focus Attention Network for Efficient Deep Reinforcement Learning. AAAI Workshops Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang
2017	J	`jnl`	Multi-focus Attention Network for Efficient Deep Reinforcement Learning. CoRR Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang
2017	—	`conf`	Overcoming Catastrophic Forgetting by Incremental Moment Matching. NIPS Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang
2017	J	`jnl`	Overcoming Catastrophic Forgetting by Incremental Moment Matching. CoRR Sang-Woo Lee, Jin-Hwa Kim, JungWoo Ha, Byoung-Tak Zhang
2017	J	`jnl`	Visual Explanations from Hadamard Product in Multimodal Deep Networks. CoRR Jin-Hwa Kim, Byoung-Tak Zhang
2016	A*	`conf`	DeepSchema: Automatic Schema Acquisition from Wearable Sensor Data in Restaurant Situations. IJCAI Eun-Sol Kim, Kyoung-Woon On, Byoung-Tak Zhang
2016	A*	`conf`	Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors. IJCAI Sang-Woo Lee, Chung-Yeon Lee, Dong-Hyun Kwak, Jiwon Kim, Jeonghee Kim, Byoung-Tak Zhang
2016	J	`jnl`	Generating Images Part by Part with Composite Generative Adversarial Networks. CoRR Hanock Kwak, Byoung-Tak Zhang
2016	J	`jnl`	Hadamard Product for Low-rank Bilinear Pooling. CoRR Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang
2016	J	`jnl`	Human Body Orientation Estimation using Convolutional Neural Network. CoRR Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang
2016	J	`jnl`	Humans and Machines in the Evolution of AI in Korea. AI Mag. Byoung-Tak Zhang
2016	—	`conf`	Multimodal Residual Learning for Visual QA. NIPS Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang
2016	J	`jnl`	Multimodal Residual Learning for Visual QA. CoRR Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang
2016	J	`jnl`	Special issue: First International Conference on Big Data and Smart Computing (BigComp2014). Data Knowl. Eng. Jinho Kim, James T. Kwok, Kazutoshi Sumiya, Byoung-Tak Zhang
2016	J	`jnl`	Ways of Conditioning Generative Adversarial Networks. CoRR Hanock Kwak, Byoung-Tak Zhang
2016	J	`jnl`	Whole-Body Balancing Walk Controller for Position Controlled Humanoid Robots. Int. J. Humanoid Robotics Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2015	B	`conf`	Analyzing Human Behavioral Data to Interact with Restaurant Server Agents. HAI Eun-Sol Kim, Kyoung-Woon On, Byoung-Tak Zhang
2015	A*	`conf`	Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos. AAAI JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang
2015	J	`jnl`	Consensus Analysis and Modeling of Visual Aesthetic Perception. IEEE Trans. Affect. Comput. Tae-Suh Park, Byoung-Tak Zhang
2015	—	`conf`	Deep Learning for the Web. WWW (Companion Volume) Kyomin Jung, Byoung-Tak Zhang, Prasenjit Mitra
2015	J	`jnl`	Dual Memory Architectures for Fast Deep Learning of Stream Data via an Online-Incremental-Transfer Strategy. CoRR Sang-Woo Lee, Min-Oh Heo, Jiwon Kim, Jeonghee Kim, Byoung-Tak Zhang
2015	—	`conf`	Modeling Situated Conversations for a Child-Care Robot Using Wearable Devices. AAAI Fall Symposia Kyoung-Woon On, Eun-Sol Kim, Byoung-Tak Zhang
2015	J	`jnl`	Molecular learning with DNA kernel machines. Biosyst. Yung-Kyun Noh, Daniel D. Lee, Kyung-Ae Yang, Cheong-Tag Kim, Byoung-Tak Zhang
2015	—	`conf`	Pororobot: A Deep Learning Robot That Plays Video Q&A Games. AAAI Fall Symposia Kyung-Min Kim, Chang-Jun Nan, Jung-Woo Ha, Yu-Jung Heo, Byoung-Tak Zhang
2015	J	`jnl`	Preface. Soft Comput. Jin-Woo Jung, Hiroshi Wakuya, Byoung-Tak Zhang
2015	B	`conf`	Social Network Analysis of TV Drama Characters via Deep Concept Hierarchies. ASONAM Chang-Jun Nan, Kyung-Min Kim, Byoung-Tak Zhang
2015	J	`jnl`	Team THOR's Entry in the DARPA Robotics Challenge Trials 2013. J. Field Robotics 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
2014	J	`jnl`	Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes. J. Biomed. Informatics Soo-Jin Kim, JungWoo Ha, Byoung-Tak Zhang
2014	B	`conf`	Effective EEG Connectivity Analysis of Episodic Memory Retrieval. CogSci Chung-Yeon Lee, Byoung-Tak Zhang
2014	—	`conf`	Uncovering Response Biases in Recommendation. MPREF@AAAI Kyung-Wha Park, Byoung-Hee Kim, Tae-Suh Park, Byoung-Tak Zhang
2013	J	`jnl`	Biomolecular computation with molecular beacons for quantitative analysis of target nucleic acids. Biosyst. Hee-Woong Lim, Seung Hwan Lee, Kyung-Ae Yang, Suk-In Yoo, Tai Hyun Park, Byoung-Tak Zhang
2013	J	`jnl`	Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning. BMC Syst. Biol. Soo-Jin Kim, JungWoo Ha, Byoung-Tak Zhang
2013	B	`conf`	Estimating Multiple Evoked Emotions from Videos. CogSci Wonhee Choe, Hyo-Sun Chun, Junhyug Noh, Seong-Deok Lee, Byoung-Tak Zhang
2013	B	`conf`	Evolutionary concept learning from cartoon videos by multimodal hypernetworks. IEEE Congress on Evolutionary Computation Beom-Jin Lee, JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang
2013	—	`conf`	Information-Theoretic Objective Functions for Lifelong Learning. AAAI Spring Symposium: Lifelong Machine Learning Byoung-Tak Zhang
2013	J	`jnl`	Non-linear molecular pattern classification using molecular beacons with multiple targets. Biosyst. In-Hee Lee, Seung Hwan Lee, Tai Hyun Park, Byoung-Tak Zhang
2013	—	`conf`	Online Incremental Structure Learning of Sum-Product Networks. ICONIP (2) Sang-Woo Lee, Min-Oh Heo, Byoung-Tak Zhang
2013	A*	`conf`	Online learning of low dimensional strategies for high-level push recovery in bipedal humanoid robots. ICRA Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2012	B	`conf`	'Is this right?' or 'Is that wrong?': Evidence from Dynamic Eye-Hand Movement in Decision Making. CogSci Eun-Sol Kim, Jiseob Kim, Thies Pfeiffer, Ipke Wachsmuth, Byoung-Tak Zhang
2012	J	`jnl`	A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset. BMC Bioinform. Je-Gun Joung, Soo-Jin Kim, Soo-Yong Shin, Byoung-Tak Zhang
2012	A	`conf`	Active stabilization of a humanoid robot for impact motions with unknown reaction forces. IROS Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2012	—	`conf`	Active stabilization of a humanoid robot for real-time imitation of a human operator. Humanoids Seung-Joon Yi, Stephen G. McGill, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2012	B	`conf`	Effect of Saliency-Based Masking in Scene Classification. CogSci Tae-Suh Park, Byoung-Tak Zhang
2012	B	`conf`	Evolutionary particle filtering for sequential dependency learning from video data. IEEE Congress on Evolutionary Computation Jun Hee Yoo, Ho-Sik Seok, Byoung-Tak Zhang
2012	B	`conf`	Hierarchical Slow-Feature Models of Gesture Conversation. CogSci Jiseob Kim, Sooyong Jang, Eun-Sol Kim, Byoung-Tak Zhang
2012	B	`conf`	Neural Correlates of Episodic Memory Formation in Audio-Visual Pairing Tasks. CogSci Chung-Yeon Lee, Beom-Jin Lee, Joon Shik Kim, Byoung-Tak Zhang
2012	B	`conf`	Sparse Population Code Models of Word Learning in Concept Drift. CogSci Byoung-Tak Zhang, JungWoo Ha, Myunggu Kang
2012	B	`conf`	Text-to-image retrieval based on incremental association via multimodal hypernetworks. SMC JungWoo Ha, Beom-Jin Lee, Byoung-Tak Zhang
2011	J	`jnl`	A DNA assembly model of sentence generation. Biosyst. Ji-Hoon Lee, Seung Hwan Lee, Won-Hyong Chung, Eun-Seok Lee, Tai Hyun Park, Russell J. Deaton, Byoung-Tak Zhang
2011	B	`conf`	A molecular evolutionary algorithm for learning hypernetworks on simulated DNA computers. IEEE Congress on Evolutionary Computation Ji-Hoon Lee, Bado Lee, Joon Shik Kim, Russell J. Deaton, Byoung-Tak Zhang
2011	J	`jnl`	Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang
2011	B	`conf`	Evolving a population code for multimodal concept learning. IEEE Congress on Evolutionary Computation Bado Lee, Ho-Sik Seok, Byoung-Tak Zhang
2011	J	`jnl`	Feature Relevance Network-Based Transfer Learning for Indoor Location Estimation. IEEE Trans. Syst. Man Cybern. Part C Ho-Sik Seok, Kyu Baek Hwang, Byoung-Tak Zhang
2011	A*	`conf`	Learning full body push recovery control for small humanoid robots. ICRA Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2011	B	`conf`	Mutual information-based evolution of hypernetworks for brain data analysis. IEEE Congress on Evolutionary Computation Eun-Sol Kim, JungWoo Ha, Wi Hoon Jung, Joon Hwan Jang, Jun Soo Kwon, Byoung-Tak Zhang
2011	—	`conf`	Online learning of a full body push recovery controller for omnidirectional walking. Humanoids Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2011	A	`conf`	Practical bipedal walking control on uneven terrain using surface learning and push recovery. IROS Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee
2010	B	`conf`	Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules. IEEE Congress on Evolutionary Computation Soo-Jin Kim, JungWoo Ha, Bado Lee, Byoung-Tak Zhang
2010	A	`conf`	Fluid Dynamics Models for Low Rank Discriminant Analysis. AISTATS Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
2010	—	`conf`	Generative Local Metric Learning for Nearest Neighbor Classification. NIPS Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
2010	J	`jnl`	In vitro molecular pattern classification via DNA-based weighted-sum operation. Biosyst. Hee-Woong Lim, Seung Hwan Lee, Kyung-Ae Yang, Ji Youn Lee, Suk-In Yoo, Tai Hyun Park, Byoung-Tak Zhang
2010	B	`conf`	Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval. PRICAI JungWoo Ha, Byoung-Hee Kim, Bado Lee, Byoung-Tak Zhang
2010	C	`conf`	MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory. PKAW Umer Fareed, Byoung-Tak Zhang
2010	A*	`conf`	Online Learning of Uneven Terrain for Humanoid Bipedal Walking. AAAI Seung-Joon Yi, Byoung-Tak Zhang, Daniel D. Lee
2010	B	`ed.`	PRICAI 2010: Trends in Artificial Intelligence, 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30-September 2, 2010. Proceedings PRICAI Byoung-Tak Zhang, Mehmet A. Orgun
2010	B	`conf`	Subjective Document Classification Using Network Analysis. ASONAM Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee
2010	B	`conf`	Visual Query Expansion via Incremental Hypernetwork Models of Image and Text. PRICAI Min-Oh Heo, Myunggu Kang, Byoung-Tak Zhang
2009	C	`conf`	AESNB: Active Example Selection with Naive Bayes Classifier for Learning from Imbalanced Biomedical Data. BIBE Min Su Lee, Je-Keun Rhee, Byoung-Hee Kim, Byoung-Tak Zhang
2009	B	`conf`	Dynamic and Static Influence Models on Starbucks Networks. ASONAM Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee
2009	—	`conf`	Ensemble Learning Based on Active Example Selection for Solving Imbalanced Data Problem in Biomedical Data. BIBM Min Su Lee, Sangyoon Oh, Byoung-Tak Zhang
2009	J	`jnl`	Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures. Comput. Biol. Medicine Sun Kim, Jeongmi Kim, Byoung-Tak Zhang
2009	J	`jnl`	EvoOligo: Oligonucleotide Probe Design With Multiobjective Evolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Part B Soo-Yong Shin, In-Hee Lee, Young-Min Cho, Kyung-Ae Yang, Byoung-Tak Zhang
2009	A	`conf`	Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. GECCO Jakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang
2009	B	`conf`	Evolutionary hypernetworks for learning to generate music from examples. FUZZ-IEEE Hyun-Woo Kim, Byoung-Hee Kim, Byoung-Tak Zhang
2009	B	`conf`	Evolving hypernetwork models of binary time series for forecasting price movements on stock markets. IEEE Congress on Evolutionary Computation Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian, Byoung-Tak Zhang
2009	B	`conf`	Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks. FUZZ-IEEE JungWoo Ha, Joon Hwan Jang, Do-Hyung Kang, Wi Hoon Jung, Jun Soo Kwon, Byoung-Tak Zhang
2009	—	`conf`	Social Influence Models Based on Starbucks Networks. CASoN Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee
2009	—	`conf`	Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers. AAAI Spring Symposium: Agents that Learn from Human Teachers Byoung-Tak Zhang
2008	J	`jnl`	An evolutionary Monte Carlo algorithm for predicting DNA hybridization. Biosyst. 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
2008	J	`jnl`	AptaCDSS-E: A classifier ensemble-based clinical decision support system for cardiovascular disease level prediction. Expert Syst. Appl. Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang
2008	B	`conf`	Cognitive learning and the multimodal memory game: Toward human-level machine learning. IJCNN Byoung-Tak Zhang
2008	J	`jnl`	Hypernetworks: A Molecular Evolutionary Architecture for Cognitive Learning and Memory. IEEE Comput. Intell. Mag. Byoung-Tak Zhang
2008	J	`jnl`	PIE: an online prediction system for protein-protein interactions from text. Nucleic Acids Res. Sun Kim, Soo-Yong Shin, In-Hee Lee, Soo-Jin Kim, Ram Sriram, Byoung-Tak Zhang
2007	J	`jnl`	A Global Minimization Algorithm Based on a Geodesic of a Lagrangian Formulation of Newtonian Dynamics. Neural Process. Lett. Joon Shik Kim, Jong Chan Kim, Jangmin O, Byoung-Tak Zhang
2007	—	`conf`	Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms. EvoBIO Jin-Wu Nam, In-Hee Lee, Kyu Baek Hwang, Seong-Bae Park, Byoung-Tak Zhang
2007	J	`jnl`	Discovery of microRNA-mRNA modules via population-based probabilistic learning. Bioinform. Je-Gun Joung, Kyu Baek Hwang, Jin-Wu Nam, Soo-Jin Kim, Byoung-Tak Zhang
2007	—	`conf`	Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis. GECCO (Companion) JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Tak Zhang
2007	B	`conf`	Evolving hypernetwork classifiers for microRNA expression profile analysis. IEEE Congress on Evolutionary Computation Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
2007	B	`conf`	Evolving hypernetworks for pattern classification. IEEE Congress on Evolutionary Computation Joo-Kyung Kim, Byoung-Tak Zhang
2007	C	`conf`	Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm. BIBE Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Cho, Byoung-Tak Zhang
2007	C	`conf`	Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm. EMO In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang
2007	—	`conf`	Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptability vs. Longer-Term Persistency. FOCI Byoung-Tak Zhang
2006	—	`conf`	A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. KDLL Jae-Hong Eom, Sun Kim, Seong-Hwan Kim, Byoung-Tak Zhang
2006	J	`jnl`	Adaptive stock trading with dynamic asset allocation using reinforcement learning. Inf. Sci. Jangmin O, Jongwoo Lee, Jae Won Lee, Byoung-Tak Zhang
2006	—	`ch.`	Combining Information-Based Supervised and Unsupervised Feature Selection. Feature Extraction Sang-Kyun Lee, Seung-Joon Yi, Byoung-Tak Zhang
2006	J	`jnl`	Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks. BMC Bioinform. Sok June Oh, Je-Gun Joung, Jeong Ho Chang, Byoung-Tak Zhang
2006	B	`conf`	DNA Hypernetworks for Information Storage and Retrieval. DNA Byoung-Tak Zhang, Joo-Kyung Kim
2006	—	`conf`	Human Papillomavirus Risk Type Classification from Protein Sequences Using Support Vector Machines. EvoWorkshops Sun Kim, Byoung-Tak Zhang
2006	J	`jnl`	Identification of biochemical networks by S-tree based genetic programming. Bioinform. Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang
2006	J	`jnl`	Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation. Bioinform. Je-Gun Joung, Dongho Shin, Rho Hyun Seong, Byoung-Tak Zhang
2006	—	`conf`	Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis. ICONIP (1) Kyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang
2006	—	`conf`	Microarray Probe Design Using epsilon-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria. EvoWorkshops Soo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang
2006	—	`conf`	Mining Protein Interaction from Biomedical Literature with Relation Kernel Method. ISNN (2) Jae-Hong Eom, Byoung-Tak Zhang
2006	—	`conf`	Multi-stage Evolutionary Algorithms for Efficient Identification of Gene Regulatory Networks. EvoWorkshops Kee-Young Kim, Dong-Yeon Cho, Byoung-Tak Zhang
2006	—	`conf`	Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining. ICONIP (3) Jae-Hong Eom, Byoung-Tak Zhang
2006	J	`jnl`	ProMiR II: a web server for the probabilistic prediction of clustered, nonclustered, conserved and nonconserved microRNAs. Nucleic Acids Res. Jin-Wu Nam, Jinhan Kim, Sung-Kyu Kim, Byoung-Tak Zhang
2006	J	`jnl`	Protein sequence-based risk classification for human papillomaviruses. Comput. Biol. Medicine Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
2006	B	`conf`	Text Classifiers Evolved on a Simulated DNA Computer. IEEE Congress on Evolutionary Computation Sun Kim, Min-Oh Heo, Byoung-Tak Zhang
2006	J	`jnl`	miTarget: microRNA target gene prediction using a support vector machine. BMC Bioinform. Sung-Kyu Kim, Jin-Wu Nam, Je-Keun Rhee, Wha-Jin Lee, Byoung-Tak Zhang
2005	C	`conf`	A Kernel Method for MicroRNA Target Prediction Using Sensible Data and Position-Based Features. CIBCB Sung-Kyu Kim, Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang
2005	J	`jnl`	Bayesian Network Learning with Feature Abstraction for Gene-drug Dependency Analysis. J. Bioinform. Comput. Biol. Jeong Ho Chang, Kyu Baek Hwang, Sok June Oh, Byoung-Tak Zhang
2005	J	`jnl`	Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets. IEEE Trans. Syst. Man Cybern. Part B Kyu Baek Hwang, Byoung-Tak Zhang
2005	J	`jnl`	CrossChip: a system supporting comparative analysis of different generations of Affymetrix arrays. Bioinform. Sek Won Kong, Kyu Baek Hwang, Richard D. Kim, Byoung-Tak Zhang, Steven A. Greenberg, Isaac S. Kohane, Peter J. Park
2005	J	`jnl`	Dynamic Asset Allocation for Stock Trading Optimized by Evolutionary Computation. IEICE Trans. Inf. Syst. Jangmin O, Jongwoo Lee, Jae Won Lee, Byoung-Tak Zhang
2005	—	`conf`	Extraction of Gene/Protein Interaction from Text Documents with Relation Kernel. KES (2) Jae-Hong Eom, Byoung-Tak Zhang
2005	B	`conf`	Molecular Learning of wDNF Formulae. DNA Byoung-Tak Zhang, Ha-Young Jang
2005	A	`conf`	Molecular programming: evolving genetic programs in a test tube. GECCO Byoung-Tak Zhang, Ha-Young Jang
2005	J	`jnl`	Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing. IEEE Trans. Evol. Comput. Soo-Yong Shin, In-Hee Lee, Dongmin Kim, Byoung-Tak Zhang
2005	—	`conf`	Prediction of ICANN (2) Jae-Hong Eom, Byoung-Tak Zhang
2004	B	`conf`	A Bayesian Algorithm for In Vitro Molecular Evolution of Pattern Classifiers. DNA Byoung-Tak Zhang, Ha-Young Jang
2004	C	`conf`	Adaptive Neural Network-Based Clustering of CIT Jae-Hong Eom, Byoung-Tak Zhang
2004	C	`conf`	BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platform. CIT Jae-Hong Eom, Byoung-Tak Zhang
2004	J	`jnl`	Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information. Inf. Process. Manag. Seong-Bae Park, Byoung-Tak Zhang
2004	B	`conf`	Computational Methods for Identification of Human microRNA Precursors. PRICAI Jin-Wu Nam, Wha-Jin Lee, Byoung-Tak Zhang
2004	J	`jnl`	Development, evaluation and benchmarking of simulation software for biomolecule-based computing. Nat. Comput. Derrel Blain, Max H. Garzon, Soo-Yong Shin, Byoung-Tak Zhang, Satoshi Kashiwamura, Masahito Yamamoto, Atsushi Kameda, Azuma Ohuchi
2004	—	`conf`	Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework. ECML Jangmin O, Jae Won Lee, Jongwoo Lee, Byoung-Tak Zhang
2004	B	`conf`	Efficient Initial Pool Generation for Weighted Graph Problems Using Parallel Overlap Assembly. DNA Ji Youn Lee, Hee-Woong Lim, Suk-In Yoo, Byoung-Tak Zhang, Tai Hyun Park
2004	A	`conf`	Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model. PPSN Dong-Yeon Cho, Byoung-Tak Zhang
2004	B	`conf`	Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV). ICONIP Jae-Hong Eom, Seong-Bae Park, Byoung-Tak Zhang
2004	C	`conf`	Korean Compound Noun Decomposition Using Syllabic Information Only. CICLing Seong-Bae Park, Jeong Ho Chang, Byoung-Tak Zhang
2004	B	`conf`	Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection. PRICAI In-Hee Lee, Sun Kim, Byoung-Tak Zhang
2004	C	`conf`	Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining. IDEAL Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
2004	B	`conf`	Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines. PRICAI Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
2004	C	`conf`	PromSearch: A Hybrid Approach to Human Core-Promoter Prediction. IDEAL Byoung-Hee Kim, Seong-Bae Park, Byoung-Tak Zhang
2004	Misc	`conf`	PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining. AIMSA Jae-Hong Eom, Byoung-Tak Zhang
2004	A	`conf`	Searching Transcriptional Modules Using Evolutionary Algorithms. PPSN Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
2004	C	`conf`	Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks. IDEAL Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak Zhang
2004	—	`conf`	Two-Step Genetic Programming for Optimization of RNA Common-Structure. EvoWorkshops Jin-Wu Nam, Je-Gun Joung, Y. S. Ahn, Byoung-Tak Zhang
2003	B	`conf`	A Lab-on-a-Chip Module for Bead Separation in DNA-Based Concept Learning. DNA Hee-Woong Lim, Hae-Man Jang, Sung-Mo Ha, Young-Gyu Chai, Suk-In Yoo, Byoung-Tak Zhang
2003	B	`conf`	An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition. PAKDD Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
2003	C	`conf`	Automatic Webpage Classification Enhanced by Unlabeled Data. IDEAL Seong-Bae Park, Byoung-Tak Zhang
2003	C	`conf`	Classification of the Risk Types of Human Papillomavirus by Decision Trees. IDEAL Seong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang
2003	B	`conf`	DNA sequence optimization using constrained multi-objective evolutionary algorithm. IEEE Congress on Evolutionary Computation In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang
2003	J	`jnl`	Genetic Mining of HTML Structures for Effective Web-Document Retrieval. Appl. Intell. Sun Kim, Byoung-Tak Zhang
2003	B	`conf`	Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information. PAKDD Seong-Bae Park, Byoung-Tak Zhang
2003	C	`conf`	Mining the Risk Types of Human Papillomavirus (HPV) by AdaCost. DEXA Seong-Bae Park, Sohyun Hwang, Byoung-Tak Zhang
2003	B	`conf`	Molecular immunocomputing with application to alphabetical pattern recognition mimics the characterization of ABO blood type. IEEE Congress on Evolutionary Computation Su Dong Kim, Ki-Roo Shin, Byoung-Tak Zhang
2003	B	`conf`	RCA-Based Detection Methods for Resolution Refutation. DNA In-Hee Lee, Ji-Yoon Park, Young-Gyu Chai, Byoung-Tak Zhang
2003	J	`jnl`	Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling. Mach. Learn. Byoung-Tak Zhang, Jinsan Yang, Sung Wook Chi
2003	A*	`conf`	Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning. ACL Seong-Bae Park, Byoung-Tak Zhang
2003	J	`jnl`	Word Sense Disambiguation by Learning Decision Trees from Unlabeled Data. Appl. Intell. Seong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim
2002	J	`jnl`	A Bayesian evolutionary approach to the design and learning of heterogeneous neural trees. Integr. Comput. Aided Eng. Byoung-Tak Zhang
2002	A*	`conf`	A Boosted Maximum Entropy Model for Learning Text Chunking. ICML Seong-Bae Park, Byoung-Tak Zhang
2002	B	`conf`	A Comparative Evaluation of Data-driven Models in Translation Selection of Machine Translation. COLING Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
2002	J	`jnl`	Behavior Evolution of Autonomous Mobile Robot(AMR) using Genetic Programming Based on Evolvable Hardware. Int. J. Fuzzy Log. Intell. Syst. Kwee-Bo Sim, Dong-Wook Lee, Byoung-Tak Zhang
2002	B	`conf`	Construction of Large-Scale Bayesian Networks by Local to Global Search. PRICAI Kyu Baek Hwang, Jae Won Lee, Seung-Woo Chung, Byoung-Tak Zhang
2002	B	`conf`	DNA Implementation of Theorem Proving with Resolution Refutation in Propositional Logic. DNA In-Hee Lee, Ji-Yoon Park, Hae-Man Jang, Young-Gyu Chai, Byoung-Tak Zhang
2002	B	`conf`	Evolutionary optimization by distribution estimation with mixtures of factor analyzers. IEEE Congress on Evolutionary Computation Dong-Yeon Cho, Byoung-Tak Zhang
2002	B	`conf`	Evolutionary sequence generation for reliable DNA computing. IEEE Congress on Evolutionary Computation Soo-Yong Shin, Dongmin Kim, In-Hee Lee, Byoung-Tak Zhang
2002	B	`conf`	NACST/Seq: A Sequence Design System with Multiobjective Optimization. DNA Dongmin Kim, Soo-Yong Shin, In-Hee Lee, Byoung-Tak Zhang
2002	A*	`conf`	Stock Trading System Using Reinforcement Learning with Cooperative Agents. ICML Jangmin O, Jae Won Lee, Byoung-Tak Zhang
2002	B	`conf`	Target Word Selection Using WordNet and Data-Driven Models in Machine Translation. PRICAI Yuseop Kim, Jeong Ho Chang, Byoung-Tak Zhang
2002	B	`conf`	Temperature Gradient-Based DNA Computing for Graph Problems with Weighted Edges. DNA Ji Youn Lee, Soo-Yong Shin, Sirk June Augh, Tai Hyun Park, Byoung-Tak Zhang
2002	B	`conf`	Topic Extraction from Text Documents Using Multiple-Cause Networks. PRICAI Jeong Ho Chang, Jae Won Lee, Yuseop Kim, Byoung-Tak Zhang
2002	B	`conf`	Version Space Learning with DNA Molecules. DNA Hee-Woong Lim, Ji-Eun Yun, Hae-Man Jang, Young-Gyu Chai, Suk-In Yoo, Byoung-Tak Zhang
2001	B	`conf`	Actively searching for committees of RBF networks using Bayesian evolutionary computation. CEC Je-Gun Joung, Byoung-Tak Zhang
2001	B	`conf`	Bayesian evolutionary algorithms for continuous function optimization. CEC Soo-Yong Shin, Byoung-Tak Zhang
2001	J	`jnl`	Collocation Dictionary Optimization Using WordNet and Mach. Transl. Yuseop Kim, Byoung-Tak Zhang, Yung Taek Kim
2001	B	`conf`	Continuous estimation of distribution algorithms with probabilistic principal component analysis. CEC Dong-Yeon Cho, Byoung-Tak Zhang
2001	B	`conf`	Convergence properties of Bayesian evolutionary algorithms with population size greater than 1. CEC Si-Eun Lee, Byoung-Tak Zhang, Arnaud Doucet
2001	B	`conf`	Evolutionary calibration of sensors using genetic programming on evolvable hardware. CEC Ho-Sik Seok, Byoung-Tak Zhang
2001	B	`conf`	Evolutionary learning of Web-document structure for information retrieval. CEC Sun Kim, Byoung-Tak Zhang
2001	J	`jnl`	Learning-based Intrasentence Segmentation for Efficient Translation of Long Sentences. Mach. Transl. Sung Dong Kim, Byoung-Tak Zhang, Yung Taek Kim
2001	J	`jnl`	Personalized Web-Document Filtering Using Reinforcement Learning. Appl. Artif. Intell. Byoung-Tak Zhang, Young-Woo Seo
2001	J	`jnl`	Personalized Web-Document Filtering Using Reinforcement Learning. Appl. Artif. Intell. Byoung-Tak Zhang, Young-Woo Seo
2001	J	`jnl`	System identification using evolutionary Markov chain Monte Carlo. J. Syst. Archit. Byoung-Tak Zhang, Dong-Yeon Cho
2000	A	`conf`	A reinforcement learning agent for personalized information filtering. IUI Young-Woo Seo, Byoung-Tak Zhang
2000	A	`conf`	Bayesian Evolutionary Optimization Using Helmholtz Machines. PPSN Byoung-Tak Zhang, Soo-Yong Shin
2000	J	`jnl`	Bayesian Methods for Efficient Genetic Programming. Genet. Program. Evolvable Mach. Byoung-Tak Zhang
2000	B	`conf`	Bayesian evolutionary algorithms for evolving neural tree models of time series data. CEC Dong-Yeon Cho, Byoung-Tak Zhang
2000	B	`conf`	Behavior evolution of autonomous mobile robot using genetic programming based on evolvable hardware. SMC Dong-Wook Lee, Chang-Bong Ban, Kwee-Bo Sim, Ho-Sik Seok, Kwang-Ju Lee, Byoung-Tak Zhang
2000	A	`conf`	Building Optimal Committees of Genetic Programs. PPSN Byoung-Tak Zhang, Je-Gun Joung
2000	B	`conf`	Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chains. CEC Byoung-Tak Zhang, Gerhard Paass, Heinz Mühlenbein
2000	J	`jnl`	Evolving complex group behaviors using genetic programming with fitness switching. Artif. Life Robotics Byoung-Tak Zhang, Dong-Yeon Cho
2000	—	`conf`	Genetic Programming of Process Decomposition Strategies for Evolvable Hardware. Evolvable Hardware Ho-Sik Seok, Kwang-Ju Lee, Byoung-Tak Zhang, Dong-Wook Lee, Kwee-Bo Sim
2000	—	`conf`	Learning user's preferences by analyzing Web-browsing behaviors. Agents Young-Woo Seo, Byoung-Tak Zhang
2000	A*	`conf`	Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model. EMNLP Sung Dong Kim, Byoung-Tak Zhang, Yung Tack Kim
2000	A*	`conf`	Text filtering by boosting naive bayes classifiers. SIGIR Yu-Hwan Kim, Shang-Yoon Hahn, Byoung-Tak Zhang
2000	—	`conf`	Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags. PRICAI Workshop on Text and Web Mining Sun Kim, Byoung-Tak Zhang
2000	A*	`conf`	Word Sense Disambiguation by Learning from Unlabeled Data. ACL Seong-Bae Park, Byoung-Tak Zhang, Yung Taek Kim
1999	B	`conf`	A Bayesian framework for evolutionary computation. CEC Byoung-Tak Zhang
1999	B	`conf`	Combining locally trained neural networks by introducing a reject class. IJCNN Suk-Joon Kim, Byoung-Tak Zhang
1999	—	`conf`	Compound noun decomposition using a Markov model. MTSummit Jongwoo Lee, Byoung-Tak Zhang, Yung Taek Kim
1999	B	`conf`	Effects of selection schemes in genetic programming for time series prediction. CEC Jung-Jib Kim, Byoung-Tak Zhang
1999	Misc	`conf`	Forecasting High-Frequency Financial Time Series with Evolutionary Neural Trees: The Case of Heng-Sheng Stock Index. IC-AI Shu-Heng Chen, Hung-Shuo Wang, Byoung-Tak Zhang
1999	—	`conf`	SCAI TREC-8 Experiments. TREC Dong-Ho Shin, Yu-Hwan Kim, Sun Kim, Jae-Hong Eom, Hyung-Joo Shin, Byoung-Tak Zhang
1999	B	`conf`	Solving traveling salesman problems using molecular programming. CEC Soo-Yong Shin, Byoung-Tak Zhang, Sung-Soo Jun
1999	B	`conf`	Temporal pattern recognition using a spiking neural network with delays. IJCNN Jeong-woo Sohn, Byoung-Tak Zhang, Bong-Kiun Kaang
1999	B	`conf`	Time series prediction using committee machines of evolutionary neural trees. CEC Byoung-Tak Zhang, Je-Gun Joung
1998	—	`conf`	A Two-Stage Retrieval Model for the TREC-7 Ad Hoc Task. TREC Dong-Ho Shin, Byoung-Tak Zhang
1998	B	`conf`	Active Data Partitioning for Building Mixture Models. ICONIP Suk-Joon Kim, Byoung-Tak Zhang
1998	—	`conf`	Genetic Programming with Active Data Selection. SEAL Byoung-Tak Zhang, Dong-Yeon Cho
1997	—	`conf`	An evolutionary method for active learning of mobile robot path planning. CIRA Byoung-Tak Zhang, Sung-Hoon Kim
1997	J	`jnl`	Evolutionary Induction of Sparse Neural Trees. Evol. Comput. Byoung-Tak Zhang, Peter Ohm, Heinz Mühlenbein
1997	C	`conf`	Using a genetic algorithm for communication link partitioning. ICEC Ju-Hyun Lee, Yanghee Choi, Byoung-Tak Zhang, Chongsang Kim
1995	J	`jnl`	Balancing Accuracy and Parsimony in Genetic Programming. Evol. Comput. Byoung-Tak Zhang, Heinz Mühlenbein
1994	J	`jnl`	Accelerated Learning by Active Example Selection. Int. J. Neural Syst. Byoung-Tak Zhang
1994	A	`conf`	Effects of Occam's Razor in Evolving Sigma-Pi Neural Nets. PPSN Byoung-Tak Zhang
1994	—	`conf`	Synthesis of Sigma-Pi Neural Networks by the Breeder Genetic Programming. International Conference on Evolutionary Computation Byoung-Tak Zhang, Heinz Mühlenbein
1993	J	`jnl`	Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor. Complex Syst. Byoung-Tak Zhang, Heinz Mühlenbein
1993	—	`conf`	Genetic Programming of Minimal Neural Nets Using Occam's Razor. ICGA Byoung-Tak Zhang, Heinz Mühlenbein
1992	—	`—`	Lernen durch Genetisch-Neuronale Evolution: Aktive Anpassung an unbekannte Umgebungen mit selbstentwickelten parallelen Netzwerken. Byoung-Tak Zhang
1990	B	`conf`	Morphological Analysis and Synthesis by Automated Discovery and Acquisition of Linguistic Rules. COLING Byoung-Tak Zhang, Yung Taek Kim