Bo Liu


Assistant Professor
Department of Computer Science and Software Engineering
3101P Shelby Center for Engineering Technology
Auburn University
Auburn, AL 36849-5347
Email:
boliu AT auburn DOT edu

[Google Scholar]


Publications

2019

  • SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning.
    D. Lyu, F. Yang, B. Liu, S. Gustafson
    33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, HI, 2019

  • 2018

  • A Block Coordinate Ascent Algorithm for Mean-Variance Optimization.
    B. Liu*, T. Xie* (* equal contribution), Y. Xu, M. Ghavamzadeh, Y. Chow, D. Lyu, D. Yoon
    32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CA, 2018

  • A Novel Restoration Algorithm for Noisy Complex Illumination.
    S. Li, Z. Liu, T. Gao, F. Kong, Z. Jiao, A, Yang, B. Liu
    IET Computer Vision 2018

  • Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity.
    B. Liu, I. Gemp, M. Ghamvamzadeh, J. Liu, S. Mahadevan, and M. Petrik (2018)
    Journal of Artificial Intelligence Research (JAIR)

  • Stable and Efficient Policy Evaluation.
    D. Lyu, B. Liu, M. Geist, W. Dong, S. Biaz, and Q. Wang (2018)
    IEEE Transactions on Neural Networks and Learning Systems (IEEE TNN)

  • Hierarchical Feature Selection for Random Projection.
    Wang, Q.; Wan, J.; Nie, F.; B. Liu; Young, C.; Li, X (2018)
    IEEE Transactions on Neural Networks and Learning Systems (IEEE TNN)

  • PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making.
    F. Yang, D. Lyu, B. Liu, S. Gustafson (2018)
    27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden. Press Coverage [ppt] [poster] [video]

  • 2017

  • Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering.
    Jiang, A. W., B. Liu, & Wang, M. W.
    Journal of Computer Science and Technology, 32(4), 738-748

  • Neural clinical paraphrase generation with attention.
    Hasan, S. A., B. Liu, Liu, J. et.al.
    Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP), 2017

  • 2016

  • Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning.
    B. Liu, L Zhang, J Liu.
    32nd Conference on Uncertainty in Artificial Intelligence (UAI), Jersey City, NJ, 2016

  • Proximal Gradient Temporal Difference Learning Algorithms.
    B. Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik.
    25th International Joint Conference on Artificial Intelligence (IJCAI), New York City, 2016

  • Uncorrelated Group LASSO.
    D Kong, J Liu, B. Liu, X Bao.
    30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, AZ, Feb 12-17, 2016

  • 2015

  • Finite-Sample Analysis of Proximal Gradient TD Algorithms.
    B. Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik.
    31st Conference on Uncertainty in Artificial Intelligence (UAI), Amsterdam, The Netherlands, July 12-16, 2015, Facebook Best Student Paper Award. [ppt] [video]

  • 2014

  • Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces.
    S Mahadevan, B. Liu, P Thomas, W Dabney, S Giguere, N Jacek, I Gemp, J Liu
    arXiv preprint arXiv:1405.6757, 2014

  • Bluetooth aided mobile phone localization: a nonlinear neural circuit approach.
    S Li, Y Lou, B. Liu
    ACM Transactions on Embedded Computing Systems (ACM TECS), 2014

  • 2013

  • Selective Positive-Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks.
    S Li, B. Liu, Y Li
    IEEE Transactions on Neural Networks and Learning Systems (IEEE TNN) 24, 301-309, 2013

  • 2012

  • Regularized Off-Policy TD-Learning.
    B. Liu,
    S Mahadevan, J Liu.
    26th Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, 2012, December 3-6, NIPS Spotlight (5% acceptance). [ppt] [video]

  • Sparse Q-learning with Mirror Descent.
    S Mahadevan, B. Liu.
    28th Conference on Uncertainty in Artificial Intelligence (UAI), August 15-17, 2012, Catalina Island, CA. [ppt]

  • Sparse Manifold Alignment.
    B. Liu, C Wang, H Vu, S Mahadevan.
    Univ. of Massachusetts Technical Report UM-CS-2012-030.

  • Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks.
    S Li, S Chen, B. Liu, Y Li, Y Liang
    Neurocomputing, 2012, One of the most-cited Neurocomputing paper since 2012 according to Scopus

  • Neural network based mobile phone localization using Bluetooth connectivity.
    S Li, B. Liu, B Chen, Y Lou
    Neural Computing & Applications, 2012

  • Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks.
    S Li, H Cui, Y Li, B. Liu, Y Lou
    Neural Computing & Applications, 1-10, 2012

  • A Nonlinear Model to Generate the Winner-take-all Competition.
    S Li, Y Wang, J Yu, B. Liu
    Communications in Nonlinear Science and Numerical Simulation, 2012

  • 2011

  • Compressive Reinforcement Learning with Oblique Random Projections.
    B. Liu
    , S Mahadevan.
    Univ. of Massachusetts Technical Report UM-CS-2011-024.

  • 2010

  • Basis Construction from Power Series Expansions of Value Functions.
    S Mahadevan, B. Liu.
    24th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, B.C., Canada, 2010, December 6-8. [ppt]

  • Two-time-scale online actor-critic paradigm driven by POMDP.
    B. Liu, H He, DW Repperger
    International Conference on Networking, Sensing and Control (ICNSC), 2010.

  • Adaptive Dual Network Design for a Class of SIMO Systems with Nonlinear Time-variant Uncertainties.
    B. Liu
    , HB He, S Chen
    Acta Automatica Sinica 36 (4), 564-572, 2010