Choe, Yoonsuck individual record
Professor
Positions:
education and training
selected publications
Academic Articles49
  • Wan, Q., & Choe, Y. (2020). Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract). THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 34(10), 13945-13946.
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  • Wang, Y. e., Zhang, X., Lu, M. i., Wang, H., & Choe, Y. (2020). Attention augmentation with multi-residual in bidirectional LSTM. Neurocomputing. 385, 340-347.
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  • Kim, J., Park, C., Jung, H., & Choe, Y. (2020). Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks. THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 34(04), 4452-4459.
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  • Rao, A. R., Choe, Y., & Chakravarthy, S. (2016). Special Issue on Multi-modal Integration and Development. IEEE Transactions on Cognitive and Developmental Systems. 8(4), 312-312.
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  • Sharpee, T. O., Destexhe, A., Kawato, M., Sekulić, V., Skinner, F. K., Wójcik, D. K., ... Chhabria, K. (2016). 25th Annual Computational Neuroscience Meeting: CNS-2016. BMC Neuroscience. 17(Suppl 1), 54.
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Books1
  • Miikkulainen, R., Bednar, J. A., Choe, Y., & Sirosh, J. (2005). Computational maps in the visual cortex. Springer-Verlag.
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Chapters25
  • Choe, Y. (2019). Second Order Isomorphism: A Reinterpretation and Its Implications in Brain and Cognitive Sciences. Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society. (pp. 190-195). Routledge.
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  • Choe, Y. (2019). Chapter 14 Meaning Versus Information, Prediction Versus Memory, and Question Versus Answer. Artificial Intelligence in the Age of Neural Networks and Brain Computing. (pp. 281-292). Elsevier.
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  • Choe, Y. (2015). Absorbing Boundary. Encyclopedia of Computational Neuroscience. (pp. 125-125). Springer New York.
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  • Choe, Y. (2015). Anti-Hebbian Learning. Encyclopedia of Computational Neuroscience. (pp. 191-193). Springer New York.
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  • Denham, S. (2015). Auditory Sensing Systems: Overview. Encyclopedia of Computational Neuroscience. (pp. 1-2). Springer New York.
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Conference Papers78
  • Lee, S., Kim, J., Jung, H., & Choe, Y. (2019). Comparing Sample-Wise Learnability across Deep Neural Network Models. THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 33, 9961-9962.
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  • Wang, H., Wang, Y. e., Zhang, X., Lu, M. i., Choe, Y., & Cao, J. (2019). English Out-of-Vocabulary Lexical Evaluation Task. 2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN). 1, 1468-1472.
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  • Nguyen, K. N., Yoo, J., & Choe, Y. (2019). Speeding Up Affordance Learning for Tool Use, Using Proprioceptive and Kinesthetic Inputs. PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). 00, 1-8.
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  • Wang, Y. e., Wang, H., Zhang, X., Chaspari, T., Choe, Y., & Lu, M. i. (2019). An Attention-aware Bidirectional Multi-residual Recurrent Neural Network (Abmrnn): A Study about Better Short-term Text Classification. 2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS. 00, 3582-3586.
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  • Nowak, M. R., Lee, J., & Choe, Y. (2019). A Queryable Graph Representation of Vascular Connectivity in the Whole Mouse Brain. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 00, 256-260.
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chaired theses and dissertations
Email
choe@tamu.edu
First Name
Yoonsuck
Last Name
Choe
mailing address
Texas A&M University; Computer Science & Engineering; 3112 TAMU
College Station, TX 77843-3112
USA