Publications on Hypernetworks

 

Hypernetwork Learning

  • Deep hypernetwork models, B.-T. Zhang, Communications of the Korean Institute of Information Scientists and Engineers, 33(8):11-24, 2015. [PDF] (in Korean)
  • Sparse population code models of word learning in concept drift, B.-T. Zhang, J.-W. Ha, and M. Kang, In Proceedings of Annual Meeting of the Cognitive Science Society (CogSci 2012), pp. 1221-1226, 2012. [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]
  • Hypernetworks: A molecular evolutionary architecture for cognitive learning and memory, B.-T. Zhang, IEEE Computational Intelligence Magazine, 3(3):49-63, 2008. [PDF]
  • Cognitive learning and the multimodal memory game: Toward human-level machine learning, B.-T. Zhang, IEEE International Joint Conference on Neural Networks (IJCNN2008), pp. 3261-3267, 2008. [PDF]
  • Self-assemblying hypernetworks for cognitive learning of linguistic memory, B.-T. Zhang and C.-H. Park, Proceedings of International Conference on Computer, Electrical, and Systems Science, and Engineering (CESSE2008)(WASET), Vol. 27, pp.134-138, 2008. [PDF]

 

Molecular Hypernetworks

  • Molecular evolutionary learning of DNA Hypernetworks for hand-written digit classification, Christina Baek, J.-H. Ryu, J.-H. Lee and B.-T. Zhang, International Conference on DNA Computing and Molecular Programming (DNA 21), p.113, 2015. [PDF] (poster)
  • In vitro molecular pattern classification via DNA-based weighted sum operation, H.-W. Lim, S.H. Lee, K.-A. Yang, J.Y. Lee, S.-I. Yoo, T. H. Park, and B.-T. Zhang, BioSystems, 100(1):1-7, 2010. [PDF]
  • An in vitro DNA hypernetwork for digit pattern recognition, K.-A. Yang, I.-H. Lee, and B.-T. Zhang, Preliminary Proceedings of the 15th International Meeting on DNA Computing (DNA15), 2009. [PDF]
  • Evolutionary hypernetwork classifiers for protein-protein interaction sentence filtering, J. Bootkrajang, S. Kim, and B.-T. Zhang, The Genetic and Evolutionary Computation Conference (GECCO 2009), pp. 185-191, 2009. [PDF]
  • Random hypergraph models of learning and memory in biomolecular networks: shorter-term adaptability vs. longer-term persistency, B.-T. Zhang, The First IEEE Symp. on Foundations of Computational Intelligence (FOCI '07), pp. 344-349, 2007.[PDF]
  • DNA hypernetworks for information storage and retrieval, B.-T. Zhang and J.-K. Kim, Lecture Notes in Computer Science, DNA 12, 4287:298-307, 2006. [PDF]
  • Molecular learning of wDNF formulae, B.-T. Zhang and H.-Y. Jang, Lecture Notes in Computer Science, DNA 11, 3892:427-437, 2006. [PDF]
  • Weighted sum computation in vitro using differentially labeled molecular beacon, S.H. Lee, H.-W. Lim, K.-A. Yang, S.I. Yoo, B.-T. Zhang, T.H. Park, Preliminary Proceedings of the 14th International Meeting on DNA Computing (DNA14), p.16, 2008. [-]
  • Modeling of RNAi-based NOR gates from gene expression data, K.-A. Yang, J.H. Lee, B.-T. Zhang, Preliminary Proceedings of the 14th International Meeting on DNA Computing (DNA14), p.205, 2008. [-]

 

Evolutionary Hypernetworks

  • Evolutionary concept learning from cartoon videos by multimodal hypernetworks, B. J. Lee, J. W. Ha, K. M. Kim, and B. T. Zhang, IEEE Congress on Evolutionary Computation (CEC 2013), pp. 1186-1192, 2013.[PDF]
  • Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules, S.-J. Kim, J.-W. Ha, B. Lee, and B.-T. Zhang, IEEE World Congress Computational Intelligence (WCCI-CEC 2010), 2010 (to appear).
  • Evolving hypernetwork models of binary time series for forecasting price movements on stock markets, E. Bautu, S. Kim, A. Bautu, H. Luchian, and B.-T. Zhang, IEEE Congress on Evolutionary Computation (CEC 2009), pp.166-173, 2009. [PDF]
  • Evolutionary hypernetwork classifiers for protein-protein interaction sentence filtering, J. Bootkrajang, S. Kim, and B.-T. Zhang, The Genetic and Evolutionary Computation Conference (GECCO 2009), pp. 185-191, 2009. [PDF]
  • Gender classification with cortical thickness measurement, J.-W. Ha, J.H. Jang, D.-H. Kang, W.H. Jung, J.S. Kwon, and B.-T. Zhang, IEEE International Conference on Fuzzy Systems (Fuzz IEEE 2009), pp. 41-46, 2009. [PDF]
  • Evolutionary hypernetworks for learning to generate music from examples, H.-W. Kim, B.-H. Kim, and B.-T. Zhang, IEEE International Confernece on Fuzzy Systems (Fuzz IEEE 2009), pp. 47-52, 2009. [PDF]
  • Text-to-image cross-modal retrieval of magazine articles based on higher-order pattern recall by hypernetworks, J.-W. Ha, B.-H. Kim, H.-W. Kim, W.C. Yoon, J.-H. Eom, ang B.-T. Zhang, The 10th International Symposium on Advanced Intelligent Systems (ISIS 2009), pp. 274-277, 2009. [PDF] (Best paper awarded)
  • Evolving hypernetworks for pattern classification, J.-K. Kim, B.-T. Zhang, IEEE Congress on Evolutionary Computation (CEC 2007), pp.1856~1862, 2007. [PDF]
  • Evolving hypernetwork classifiers for microRNA expression profile analysis, S. Kim, S.-J. Kim, and B.-T. Zhang, IEEE Congress on Evolutionary Computation (CEC 2007), pp. 313-319, 2007. [PDF]
  • Use of evolutionary hypernetworks for mining prostate cancer data, C.-H. Park, S.-J. Kim, S. Kim, D.-Y. Cho, B.-T. Zhang, 8th International Symposium on Advanced Intelligent Systems (ISIS 2007), pp. 702-706, 2007. [PDF]
  • Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis, J.-W. Ha, J.-H. Eom, S.-C. Kim, and B.-T. Zhang, The Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 2709-2716, 2007. [PDF]

Applications

  • Social network analysis of TV drama characters via deep concept hierarchies, C.-J. Nan, K.-M. Kim, and B.-T. Zhang, International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), pp. 831-836, 2015. (oral presentation, accept ratio=18%, full paper) [PDF]
  • Automated construction of visual-linguistic knowledge via concept learning from cartoon videos, J.-W. Ha, K.-M. Kim, and B.-T. Zhang,  In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), pp. 522-528, 2015. (oral presentation, accept ratio=12%) [PDF][Suppl]
  • Bayesian evolutionary hypergraph learning for predicting cancer clinical outcomes, S.-J Kim, J.-W. Ha, and B.-T. Zhang, Journal of Biomedical Informatics,49:101-111, 2014. [PDF]
  • Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning, S.-J. Kim, J.-W. Ha, and B.-T. Zhang, BMC Systems Biology, 7:47, 2013. [PDF]
  • Text-to-image retrieval based on incremental association via multimodal hypernetworks, J.-W. Ha, B.-J. Lee, and B.-T. Zhang, 2012 IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC 2012), pp. 3239-3244, 2012. [PDF]

This page is maintained by Byoung-Hee Kim
Last update: May 17, 2010.