Hyokyeong Lee's homepage

I am a postdoctoral research fellow of the molecular and computational biology program at the department of biological sciences at the University of Southern California. I am working with Professor Liang Chen. My research interests are bioinformatics, machine learning, and optimization.

Publications

Journal publications

  • Hyokyeong Lee, Asher Moody-Davis, Utsab Saha, Brian M. Suzuki, Daniel Asarnow, Steven Chen, Michelle Arkin, Conor R. Caffrey, and Rahul Singh, Quantification and Clustering of Phenotypic Screening Data using Time-Series Analysis for Chemotherapy of Schistosomiasis, BMC Genomics, 13(Suppl 1):S4, 2012.

  • Hyokyeong Lee, Ke-Thia Yao, Olu Ogbonnaya Okpani, Aiichiro Nakano, Iraj Ershaghi, Hybrid Constrained Nonlinear Optimization to Infer Injector-Producer Relationship in Oil Fields. International Journal of Computational Science, vol. 4, no. 1, pp. 1-22, 2010.

  • Carole Beal, Lei Qu, Hyokyeong Lee, Mathematics motivation and achievement as predictors of high school students guessing and help-seeking with instructional software, Journal of Computer Assisted Learning, 2009.

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    Conference publications

  • Hyokyeong Lee and Rahul Singh, Unsupervised Kernel Parameter Estimation by Constrained Nonlinear Optimization for Clustering Nonlinear Biological Data, IEEE International Conference on Bioinformatics and Biomedicine, Philadelphia, USA, Oct 4 - 7, 2012. (Acceptance rate: 59/299 = 19.73%).

  • Hyokyeong Lee and Rahul Singh, Symbolic Representation and Clustering of Bio-Medical Time-Series Data Using Non-Parametric Segmentation and Cluster Ensemble, IEEE International Conference on Computer-Based Medical System, 2012. (Acceptance rate = 31.6%)

  • Hyokyeong Lee, Ke-Thia Yao, Aiichiro Nakano, Dynamic Structure Learning of Factor Graphs and Estimating Parameters of a Constrained Nonlinear Predictive Model for Oilfield Optimization. International Conference on Artificial Intelligence, Las Vegas, USA, July 12-15, 2010.

  • Hyokyeong Lee, Ke-Thia Yao, Olu Ogbonnaya Okpani. Aiichiro Nakano, Iraj Ershaghi, Identifying Injector-Producer Relationship in Waterflood using Hybrid Constrained Nonlinear Optimization, SPE Western Regional Meeting. Anaheim, California, USA, May 27-29, 2010.

  • Ali Khodaei, Hyokyeong Lee, Farnoush Banaei-Kashani, Cyrus Shahabi, Iraj Ershaghi, A Mutual Information-Based Metric for Identification of Nonlinear Injector-Producer Relationships in Waterfloods, SPE Western Regional Meeting, San Jose, California, March 24-26, 2009.

  • Carole Beal, Lei Qu, Hyokyeong Lee, Classfying learner engagement through integration of multiple data sources, The Twenty-First National Conference on Artificial Intelligence, Boston, Massachusetts, 2006.

  • Hyokyeong Lee, Carole Beal, Erin Shaw, Assessing Student Motivation with Online Self-report Instruments in Web-Based Intelligent Tutoring System, American Educational Research Association Annual Meeting, San Francisco, 2006.

  • Carole Beal and Hyokyeong Lee. (2005). Creating a pedagogical model that uses student self reports of motivation and mood to adapt ITS instruction, Workshop on motivation and affect in educational software, 2005.

  • Carole Beal, Erin Shaw, Yuan-Chun Chui, Hyokyeong Lee, Hannes Vilhjalmsson, Lei Qu, Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender, 12th International Conference on Artificial Intelligence in Education, 2005.

  • Paola Rizzo, Hyokyeong Lee, Erin Shaw, W. Lewis Johnson, Ning Wang, and Richard E. Mayer, A Semi-Automated Wizard of Oz Interface for Modeling Tutorial Strategies, 10th International Conference on User Modeling, 2005.

  • Sunhee Choi and Hyokyeong Lee, Cognitive and Motivational Effects of Animated Pedagogical Agent in Learning English as a Second Language, 12th International Conference on Artificial Intelligence in Education, 2005.

    • Workshop publication

  • W. Lewis Johnson, Paola Rizzo, Hyokyeong Lee, Ning Wang, and Erin Shaw, Modeling Motivational and Social Aspects of Tutorial Dialog, Workshop on Modelling Human Teaching Tactics and Strategies, 2004.


    • Invited Talk
    Guest lecture for Smart Oilfield Data Mining course, Petroleum Engineering, University of Southern California, Oct 2011


    My role model: Christopher M. Bishop

    What my heart tells me:
  • I love machine learning research and will dedicate the rest of my life to it.
  • Whenever a research problem challenges me, my heart starts beating.

    • What I believe: I believe only mathematics.

    What I learned: Any difficulty can be overcome if one does more than doing one's best.

    I am a Christian but am open to wisdom from varieties:
    The secret of health for both mind and body is not to mourn for the past, not to worry about the future, or not to anticipate troubles, but to live the present moment wisely and earnestly. -- The Buddha

    Contact: hyokyeol at usc dot edu

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