Effective EEG connectivity analysis of episodic memory retrieval, C.-Y. Lee and B.-T. Zhang, In Proceedings of Annual Meeting of the Cognitive Science Society (CogSci 2014), pp. 833-838, 2014.
Neural correlates of episodic memory formation in audio-visual pairing tasks, C.-Y. Lee, B.-J. Lee, J. S. Kim, and B.-T. Zhang, In Proceedings of Annual Meeting of the Cognitive Science Society (CogSci 2012), pp. 1864-1869, 2012
Learning the dynamics of eye-hand movement in memory recall from videos, E.-S. Kim, B.-T. Zhang, Women in Machine Learning (WiML 2012), 2012.
(poster) [PDF]
MMG: A learning game platform for understanding and predicting human recall memory, U. Fareed and B.-T. Zhang, The 11th International Workshop on Knowledge Management and Acquisition for Smart Systems and Services (PKAW 2010), Lecture Notes in Artificial Intelligence, 6232:300-309, 2010. [PDF]
Teaching an agent by playing a multimodal memory game: challenges for machine learners and human teachers, B.-T. Zhang, AAAI 2009 Spring Symposium: Agents that Learn from Human Teachers, pp. 144-149, 2009. [PDF]
SNU Videome Project
Consensus analysis and modeling of visual aesthetic perception, T.-S. Park and B.-T. Zhang, IEEE Transactions on Affective Computing, 6(3):272-285, 2015. [PDF]
Uncovering response biases in recommendation, K.-W. Park, B.-H. Kim, T.-S. Park, and B.-T. Zhang, AAAI 2014 Multidisciplinary Workshop on Advances in Preference Handling (M-PREF), pp. 73-78, 2014.
Estimating multiple evoked emotions from videos, W.H. Choe, H.-S. Chun, J. Noh, S.-D. Lee, and B.-T. Zhang, In Proceedings of Annual Meeting of the Cognitive Science Society (CogSci 2013), pp. 2046-2051, 2013.
Evolutionary particle filtering for sequential dependency learning from video data, J.H. Yoo, H.-S. Seok, and B.-T. Zhang, IEEE World Congress Computational Intelligence (WCCI-CEC 2012), pp. 559-566, 2012.
[PDF]
Bayesian mixture modeling of joint vision-language concepts from
videos, B.-T. Zhang, M.-G. Kang, 2011 NIPS Workshop on Integrating
Language and Vision, (poster), 2011.
Text-to-image generation based on crossmodal association with hierarchical hypergraphs, J.-W. Ha and B.-T. Zhang, 2011 NIPS Workshop on Integrating Vision and Language, (poster), 2011.
Modeling situated language learning in early childhood via
hypernetworks, B.-T. Zhang, E.-S. Lee, M.-O. Heo, and M.-G. Kang,
Embodied & Situated Language Processing (ESLP 2011), p.48, (poster),
2011.
Interaction of language and vision memories in TV drama watching: An EEG study, C.-Y. Lee, E.-S. Kim, J.-S. Kim, and B.-T. Zhang, Embodied & Situated Language Processing (ESLP 2011), p.49, (poster), 2011.
Deciphering the communicative code in speech and gesture dialogues by
autoencoding hypernetworks, J.-S. Nam, K. Bergmann, U. Waltinger, S. Kopp,
I. Wachsmuth, B.-T. Zhang, Embodied & Situated Language Processing (ESLP
2011), p.15, (oral), 2011.
SNU Videome Project: Human-level machine learning from videos (in Korean), B.-T. Zhang, Communications of the Korean Institute of Information Scientists and Engineers, 29(2):17-31, 2011.
Concepts and Proposals
Cognitive computing I: Multisensory perceptual intelligence in real-world (in Korean), B.-T. Zhang, Mu-Song Yeu, Communications of the Korean Institute of Information Scientists and Engineers, 30(1):75-87, 2012. [PDF]
Cognitive computing II: Machine vision-language learning in real-life (in Korean), B.-T. Zhang, Dong-Hoon Lee, Communications of the Korean Institute of Information Scientists and Engineers, 30(1):88-100, 2012. [PDF]
Cognitive computing III: Deep dynamic prediction in real-time (in Korean), B.-T. Zhang, Hyun-Soo Kim, Communications of the Korean Institute of Information Scientists and Engineers, 30(1):101-111, 2012. [PDF]
Hypernetworks: A molecular evolutionary architecture for cognitive learning and memory, B.-T. Zhang, IEEE Computational Intelligence Magazine, 3(3):49-63, 2008. [PDF] [LINK]
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Last update: January 11, 2016.