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2020 – today
- 2020
[c153]Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. AAAI 2020: 5315-5322- [c152]Chris Hickey, Byoung-Tak Zhang:
Hierarchical Color Learning in Convolutional Neural Networks. CVPR Workshops 2020: 1559-1562 - [c151]Eun-Sol Kim, Woo-Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang:
Hypergraph Attention Networks for Multimodal Learning. CVPR 2020: 14569-14578 - [c150]Taehyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang:
Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning. ICASSP 2020: 4012-4016 - [c149]Chung-yeon Lee, Hyundo Lee, Injune Hwang, Byoung-Tak Zhang:
Visual Perception Framework for an Intelligent Mobile Robot. UR 2020: 612-616 - [i32]Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data. CoRR abs/2001.07613 (2020) - [i31]Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim:
DialGraph: Sparse Graph Learning Networks for Visual Dialog. CoRR abs/2004.06698 (2020) - [i30]Taehyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang:
Label Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning. CoRR abs/2005.02137 (2020) - [i29]Seong-Ho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Seungchan Lee, Min Su Lee, Byoung-Tak Zhang:
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. CoRR abs/2005.03356 (2020) - [i28]Dharani Punithan, Byoung-Tak Zhang:
Pattern Denoising in Molecular Associative Memory using Pairwise Markov Random Field Models. CoRR abs/2005.13780 (2020) - [i27]Björn Bebensee, Byoung-Tak Zhang:
Co-attentional Transformers for Story-Based Video Understanding. CoRR abs/2010.14104 (2020) - [i26]Jaeseo Lim, Hwiyeol Jo, Byoung-Tak Zhang, Jooyong Park:
Human-Like Active Learning: Machines Simulating the Human Learning Process. CoRR abs/2011.03733 (2020)
2010 – 2019
- 2019
- [j58]Soo-Jin Kim, Jung-Woo Ha
, Heebal Kim, Byoung-Tak Zhang:
Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data. Appl. Soft Comput. 81 (2019) - [c148]Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh:
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication. ACL (1) 2019: 6495-6513 - [c147]Jorge Chang, Jiseob Kim, Byoung-Tak Zhang, Mark A. Pitt, Jay I. Myung:
Modeling Delay Discounting using Gaussian Process with Active Learning. CogSci 2019: 1479-1485 - [c146]Sungjae Cho, Jaeseo Lim, Chris Hickey, Byoung-Tak Zhang:
Problem Difficulty in Arithmetic Cognition: Humans and Connectionist Models. CogSci 2019: 1506-1512 - [c145]Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang:
Dual Attention Networks for Visual Reference Resolution in Visual Dialog. EMNLP/IJCNLP (1) 2019: 2024-2033 - [c144]Chung-yeon Lee, Hyundo Lee, Injune Hwang, Byoung-Tak Zhang:
Spatial Perception by Object-Aware Visual Scene Representation. ICCV Workshops 2019: 3751-3758 - [c143]Taehyeong Kim, Minji Kwak, Seung Hee Yang, Jaeseo Lim, Byoung-Tak Zhang:
WithDorm: Dormitory Solution for Linking Roommates. MobileHCI 2019: 38:1-38:6 - [i25]Jiseob Kim, Byoung-Tak Zhang:
Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology. CoRR abs/1901.08553 (2019) - [i24]Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies. CoRR abs/1901.09066 (2019) - [i23]Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang:
Dual Attention Networks for Visual Reference Resolution in Visual Dialog. CoRR abs/1902.09368 (2019) - [i22]Yu-Jung Heo, Kyoung-Woon On, Seong-Ho Choi, Jaeseo Lim, Jinah Kim, Jeh-Kwang Ryu, Byung-Chull Bae, Byoung-Tak Zhang:
Constructing Hierarchical Q&A Datasets for Video Story Understanding. CoRR abs/1904.00623 (2019) - [i21]Sungjae Cho, Jaeseo Lim, Chris Hickey, Jung Ae Park, Byoung-Tak Zhang:
Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models. CoRR abs/1905.03617 (2019) - [i20]Jiseob Kim, Seungjae Jung, Hyundo Lee, Byoung-Tak Zhang:
Encoder-Powered Generative Adversarial Networks. CoRR abs/1906.00541 (2019) - [i19]Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Compositional Structure Learning for Sequential Video Data. CoRR abs/1907.01709 (2019) - [i18]Kyung-Wha Park, Junghoon Lee, Sunyoung Kwon, Jung-Woo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion. CoRR abs/1910.02358 (2019) - [i17]Hwiyeol Jo, Byoung-Tak Zhang:
Ruminating Word Representations with Random Noised Masker. CoRR abs/1911.03459 (2019) - 2018
- [j57]Je-Keun Rhee, Soo-Jin Kim, Byoung-Tak Zhang:
Identifying DNA Methylation Modules Associated with a Cancer by Probabilistic Evolutionary Learning. IEEE Comput. Intell. Mag. 13(3): 12-19 (2018) - [j56]Yung-Kyun Noh, Jihun Hamm, Frank Chongwoo Park, Byoung-Tak Zhang, Daniel D. Lee:
Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 92-105 (2018) - [j55]Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee:
Generative Local Metric Learning for Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 106-118 (2018) - [c142]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:
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning. AAAI 2018: 8208-8209 - [c141]Dharani Punithan, Byoung-Tak Zhang:
Lifelong Learning with the Feedback-loop between Emotions and Actions via Internal Reward. BICA 2018: 423-427 - [c140]Eun-Sol Kim, Kyoung-Woon On, Jongseok Kim, Yu-Jung Heo, Seong-Ho Choi, Hyun-Dong Lee, Byoung-Tak Zhang:
Temporal Attention Mechanism with Conditional Inference for Large-Scale Multi-label Video Classification. ECCV Workshops (4) 2018: 306-316 - [c139]Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang:
Multimodal Dual Attention Memory for Video Story Question Answering. ECCV (15) 2018: 698-713 - [c138]Beom-Jin Lee, Jinyoung Choi, Christina Baek, Byoung-Tak Zhang:
Robust Human Following by Deep Bayesian Trajectory Prediction for Home Service Robots. ICRA 2018: 7189-7195 - [c137]Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang:
Bilinear Attention Networks. NeurIPS 2018: 1571-1581 - [c136]Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang:
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog. NeurIPS 2018: 2584-2594 - [i16]Sang-Woo Lee, Yu-Jung Heo, Byoung-Tak Zhang:
Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue. CoRR abs/1802.03881 (2018) - [i15]Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang:
Bilinear Attention Networks. CoRR abs/1805.07932 (2018) - [i14]Taehyeong Kim, Min-Oh Heo, Seonil Son, Kyoung-Wha Park, Byoung-Tak Zhang:
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation. CoRR abs/1805.10973 (2018) - [i13]Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang:
Multimodal Dual Attention Memory for Video Story Question Answering. CoRR abs/1809.07999 (2018) - 2017
- [j54]Ji-Hoon Lee, Seung Hwan Lee, Christina Baek, Hyo-Sun Chun, Je-hwan Ryu, Jin-Woo Kim, Russell J. Deaton, Byoung-Tak Zhang:
In vitro molecular machine learning algorithm via symmetric internal loops of DNA. Biosyst. 158: 1-9 (2017) - [j53]Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang:
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors. Neural Networks 92: 17-28 (2017) - [c135]Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang:
Multi-Focus Attention Network for Efficient Deep Reinforcement Learning. AAAI Workshops 2017 - [c134]Bosun Hwang, Jiwoo Ryu, Cheolsoo Park, Byoung-Tak Zhang:
A novel method to monitor human stress states using ultra-short-term ECG spectral feature. EMBC 2017: 2381-2384 - [c133]Ceyda Cinarel, Byoung-Tak Zhang:
Into the Colorful World of Webtoons: Through the Lens of Neural Networks. MANPU@ICDAR 2017: 35-40 - [c132]Woo-Young Kang, Kyung-Wha Park, Byoung-Tak Zhang:
Extremely Sparse Deep Learning Using Inception Modules with Dropfilters. ICDAR 2017: 448-453 - [c131]Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang:
Hadamard Product for Low-rank Bilinear Pooling. ICLR (Poster) 2017 - [c130]Cheolho Han, Sang-Woo Lee, Yu-Jung Heo, Woo-Young Kang, Jaehyun Jun, Byoung-Tak Zhang:
Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks. LaCATODA@IJCAI 2017: 28-33 - [c129]Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, Byoung-Tak Zhang:
DeepStory: Video Story QA by Deep Embedded Memory Networks. IJCAI 2017: 2016-2022 - [c128]Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang:
Overcoming Catastrophic Forgetting by Incremental Moment Matching. NIPS 2017: 4652-4662 - [i12]Sungtae Lee, Sang-Woo Lee, Jinyoung Choi, Dong-Hyun Kwak, Byoung-Tak Zhang:
Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals. CoRR abs/1703.03933 (2017) - [i11]Sang-Woo Lee, Jin-Hwa Kim, JungWoo Ha, Byoung-Tak Zhang:
Overcoming Catastrophic Forgetting by Incremental Moment Matching. CoRR abs/1703.08475 (2017) - [i10]Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, Byoung-Tak Zhang:
DeepStory: Video Story QA by Deep Embedded Memory Networks. CoRR abs/1707.00836 (2017) - [i9]Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang:
Multi-focus Attention Network for Efficient Deep Reinforcement Learning. CoRR abs/1712.04603 (2017) - [i8]Jin-Hwa Kim, Devi Parikh, Dhruv Batra, Byoung-Tak Zhang, Yuandong Tian:
CoDraw: Visual Dialog for Collaborative Drawing. CoRR abs/1712.05558 (2017) - [i7]Jin-Hwa Kim, Byoung-Tak Zhang:
Visual Explanations from Hadamard Product in Multimodal Deep Networks. CoRR abs/1712.06228 (2017) - 2016
- [j52]Byoung-Tak Zhang:
Humans and Machines in the Evolution of AI in Korea. AI Mag. 37(2): 108-112 (2016) - [j51]Jinho Kim, James T. Kwok, Kazutoshi Sumiya, Byoung-Tak Zhang:
Special issue: First International Conference on Big Data and Smart Computing (BigComp2014). Data Knowl. Eng. 104: 15-16 (2016) - [j50]Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee:
Whole-Body Balancing Walk Controller for Position Controlled Humanoid Robots. Int. J. Humanoid Robotics 13(1): 1650011:1-1650011:28 (2016) - [c127]Eun-Sol Kim, Kyoung-Woon On, Byoung-Tak Zhang:
DeepSchema: Automatic Schema Acquisition from Wearable Sensor Data in Restaurant Situations. IJCAI 2016: 834-840 - [c126]Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jiwon Kim, Jeonghee Kim, Byoung-Tak Zhang:
Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors. IJCAI 2016: 1669-1675 - [c125]Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang:
Multimodal Residual Learning for Visual QA. NIPS 2016: 361-369 - [i6]Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang:
Multimodal Residual Learning for Visual QA. CoRR abs/1606.01455 (2016) - [i5]Hanock Kwak, Byoung-Tak Zhang:
Generating Images Part by Part with Composite Generative Adversarial Networks. CoRR abs/1607.05387 (2016) - [i4]Jinyoung Choi, Beom-Jin Lee, Byoung-Tak Zhang:
Human Body Orientation Estimation using Convolutional Neural Network. CoRR abs/1609.01984 (2016) - [i3]Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang:
Hadamard Product for Low-rank Bilinear Pooling. CoRR abs/1610.04325 (2016) - [i2]Hanock Kwak, Byoung-Tak Zhang:
Ways of Conditioning Generative Adversarial Networks. CoRR abs/1611.01455 (2016) - 2015
- [j49]Yung-Kyun Noh, Daniel D. Lee, Kyung-Ae Yang, Cheongtag Kim, Byoung-Tak Zhang:
Molecular learning with DNA kernel machines. Biosyst. 137: 73-83 (2015) - [j48]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:
Team THOR's Entry in the DARPA Robotics Challenge Trials 2013. J. Field Robotics 32(3): 315-335 (2015) - [j47]Jin-Woo Jung, Hiroshi Wakuya, Byoung-Tak Zhang:
Preface. Soft Comput. 19(4): 813-814 (2015) - [j46]Tae-Suh Park, Byoung-Tak Zhang:
Consensus Analysis and Modeling of Visual Aesthetic Perception. IEEE Trans. Affect. Comput. 6(3): 272-285 (2015) - [c124]JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos. AAAI 2015: 522-528 - [c123]Kyung-Min Kim, Chang-Jun Nan, Jung-Woo Ha, Yu-Jung Heo, Byoung-Tak Zhang:
Pororobot: A Deep Learning Robot That Plays Video Q&A Games. AAAI Fall Symposia 2015: 89-93 - [c122]Kyoung-Woon On, Eun-Sol Kim, Byoung-Tak Zhang:
Modeling Situated Conversations for a Child-Care Robot Using Wearable Devices. AAAI Fall Symposia 2015: 103-106 - [c121]Chang-Jun Nan, Kyung-Min Kim, Byoung-Tak Zhang:
Social Network Analysis of TV Drama Characters via Deep Concept Hierarchies. ASONAM 2015: 831-836 - [c120]Eun-Sol Kim, Kyoung-Woon On, Byoung-Tak Zhang:
Analyzing Human Behavioral Data to Interact with Restaurant Server Agents. HAI 2015: 333-336 - [c119]Kyomin Jung, Byoung-Tak Zhang, Prasenjit Mitra:
Deep Learning for the Web. WWW (Companion Volume) 2015: 1525-1526 - [i1]Sang-Woo Lee, Min-Oh Heo, Jiwon Kim, Jeonghee Kim, Byoung-Tak Zhang:
Dual Memory Architectures for Fast Deep Learning of Stream Data via an Online-Incremental-Transfer Strategy. CoRR abs/1506.04477 (2015) - 2014
- [j45]Soo-Jin Kim, JungWoo Ha, Byoung-Tak Zhang:
Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes. J. Biomed. Informatics 49: 101-111 (2014) - [c118]Kyung-Wha Park, Byoung-Hee Kim, Tae-Suh Park, Byoung-Tak Zhang:
Uncovering Response Biases in Recommendation. MPREF@AAAI 2014 - [c117]Chung-yeon Lee, Byoung-Tak Zhang:
Effective EEG Connectivity Analysis of Episodic Memory Retrieval. CogSci 2014 - 2013
- [j44]Hee-Woong Lim, Seung Hwan Lee, Kyung-Ae Yang, Suk-In Yoo, Tai Hyun Park, Byoung-Tak Zhang:
Biomolecular computation with molecular beacons for quantitative analysis of target nucleic acids. Biosyst. 111(1): 11-17 (2013) - [j43]In-Hee Lee, Seung Hwan Lee, Tai Hyun Park, Byoung-Tak Zhang:
Non-linear molecular pattern classification using molecular beacons with multiple targets. Biosyst. 114(3): 206-213 (2013) - [j42]Soo-Jin Kim, JungWoo Ha, Byoung-Tak Zhang:
Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning. BMC Syst. Biol. 7: 47 (2013) - [c116]Byoung-Tak Zhang:
Information-Theoretic Objective Functions for Lifelong Learning. AAAI Spring Symposium: Lifelong Machine Learning 2013 - [c115]Beom-Jin Lee, JungWoo Ha, Kyung-Min Kim, Byoung-Tak Zhang:
Evolutionary concept learning from cartoon videos by multimodal hypernetworks. IEEE Congress on Evolutionary Computation 2013: 1186-1192 - [c114]Wonhee Choe, Hyo-Sun Chun, Junhyug Noh, Seong-Deok Lee, Byoung-Tak Zhang:
Estimating Multiple Evoked Emotions from Videos. CogSci 2013 - [c113]Sang-Woo Lee, Min-Oh Heo, Byoung-Tak Zhang:
Online Incremental Structure Learning of Sum-Product Networks. ICONIP (2) 2013: 220-227 - [c112]Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee:
Online learning of low dimensional strategies for high-level push recovery in bipedal humanoid robots. ICRA 2013: 1649-1655 - 2012
- [j41]Je-Gun Joung, Soo-Jin Kim, Soo-Yong Shin, Byoung-Tak Zhang:
A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset. BMC Bioinform. 13(S-17): S12 (2012) - [c111]Jun Hee Yoo, Ho-Sik Seok, Byoung-Tak Zhang:
Evolutionary particle filtering for sequential dependency learning from video data. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c110]Jiseob Kim, Sooyong Jang, Eun-Sol Kim, Byoung-Tak Zhang:
Hierarchical Slow-Feature Models of Gesture Conversation. CogSci 2012 - [c109]Eun-Sol Kim, Jiseob Kim, Thies Pfeiffer, Ipke Wachsmuth, Byoung-Tak Zhang:
'Is this right?' or 'Is that wrong?': Evidence from Dynamic Eye-Hand Movement in Decision Making. CogSci 2012 - [c108]Chung-yeon Lee, Beom-Jin Lee, Joon Shik Kim, Byoung-Tak Zhang:
Neural Correlates of Episodic Memory Formation in Audio-Visual Pairing Tasks. CogSci 2012 - [c107]Tae-Suh Park, Byoung-Tak Zhang:
Effect of Saliency-Based Masking in Scene Classification. CogSci 2012 - [c106]Byoung-Tak Zhang, JungWoo Ha, Myunggu Kang:
Sparse Population Code Models of Word Learning in Concept Drift. CogSci 2012 - [c105]Seung-Joon Yi, Stephen G. McGill, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee:
Active stabilization of a humanoid robot for real-time imitation of a human operator. Humanoids 2012: 761-766 - [c104]Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee:
Active stabilization of a humanoid robot for impact motions with unknown reaction forces. IROS 2012: 4034-4039 - [c103]JungWoo Ha, Beom-Jin Lee, Byoung-Tak Zhang:
Text-to-image retrieval based on incremental association via multimodal hypernetworks. SMC 2012: 3245-3250 - 2011
- [j40]Ji-Hoon Lee, Seung Hwan Lee, Won-Hyong Chung, Eun-Seok Lee, Tai Hyun Park, Russell J. Deaton, Byoung-Tak Zhang:
A DNA assembly model of sentence generation. Biosyst. 106(1): 51-56 (2011) - [j39]Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang:
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 316-325 (2011) - [j38]Ho-Sik Seok, Kyu Baek Hwang, Byoung-Tak Zhang:
Feature Relevance Network-Based Transfer Learning for Indoor Location Estimation. IEEE Trans. Syst. Man Cybern. Part C 41(5): 711-719 (2011) - [c102]Bado Lee, Ho-Sik Seok, Byoung-Tak Zhang:
Evolving a population code for multimodal concept learning. IEEE Congress on Evolutionary Computation 2011: 699-706 - [c101]Eun-Sol Kim, JungWoo Ha, Wi Hoon Jung, Joon Hwan Jang, Jun Soo Kwon, Byoung-Tak Zhang:
Mutual information-based evolution of hypernetworks for brain data analysis. IEEE Congress on Evolutionary Computation 2011: 2611-2617 - [c100]Ji-Hoon Lee, Bado Lee, Joon Shik Kim, Russell J. Deaton, Byoung-Tak Zhang:
A molecular evolutionary algorithm for learning hypernetworks on simulated DNA computers. IEEE Congress on Evolutionary Computation 2011: 2735-2742 - [c99]Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee:
Online learning of a full body push recovery controller for omnidirectional walking. Humanoids 2011: 1-6 - [c98]Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee:
Learning full body push recovery control for small humanoid robots. ICRA 2011: 2047-2052 - [c97]Seung-Joon Yi, Byoung-Tak Zhang, Dennis W. Hong, Daniel D. Lee:
Practical bipedal walking control on uneven terrain using surface learning and push recovery. IROS 2011: 3963-3968 - 2010
- [j37]Hee-Woong Lim, Seung Hwan Lee, Kyung-Ae Yang, Ji Youn Lee, Suk-In Yoo, Tai Hyun Park, Byoung-Tak Zhang:
In vitro molecular pattern classification via DNA-based weighted-sum operation. Biosyst. 100(1): 1-7 (2010) - [c96]Seung-Joon Yi, Byoung-Tak Zhang, Daniel D. Lee:
Online Learning of Uneven Terrain for Humanoid Bipedal Walking. AAAI 2010 - [c95]Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee:
Subjective Document Classification Using Network Analysis. ASONAM 2010: 365-369 - [c94]Soo-Jin Kim, JungWoo Ha, Bado Lee, Byoung-Tak Zhang:
Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c93]Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee:
Generative Local Metric Learning for Nearest Neighbor Classification. NIPS 2010: 1822-1830 - [c92]Umer Fareed, Byoung-Tak Zhang:
MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory. PKAW 2010: 300-309 - [c91]JungWoo Ha, Byoung-Hee Kim, Bado Lee, Byoung-Tak Zhang:
Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval. PRICAI 2010: 76-87 - [c90]Min-Oh Heo, Myunggu Kang, Byoung-Tak Zhang:
Visual Query Expansion via Incremental Hypernetwork Models of Image and Text. PRICAI 2010: 88-99 - [c89]Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee:
Fluid Dynamics Models for Low Rank Discriminant Analysis. AISTATS 2010: 565-572 - [e1]Byoung-Tak Zhang, Mehmet A. Orgun:
PRICAI 2010: Trends in Artificial Intelligence, 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30-September 2, 2010. Proceedings. Lecture Notes in Computer Science 6230, Springer 2010, ISBN 978-3-642-15245-0 [contents]
2000 – 2009
- 2009
- [j36]Sun Kim, Jeongmi Kim, Byoung-Tak Zhang:
Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures. Comput. Biol. Medicine 39(2): 187-193 (2009) - [j35]Soo-Yong Shin, In-Hee Lee, Young-Min Cho, Kyung-Ae Yang, Byoung-Tak Zhang:
EvoOligo: Oligonucleotide Probe Design With Multiobjective Evolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1606-1616 (2009) - [c88]Byoung-Tak Zhang:
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 2009: 144- - [c87]Minkyoung Kim, Byoung-Tak Zhang, June-Sup Lee:
Dynamic and Static Influence Models on Starbucks Networks. ASONAM 2009: 344-347 - [c86]