Papers in Machine Learning and Data Mining
  • Keneshloo, Y., Shi, T., Reddy, C. K., & Ramakrishnan, N. (2018). Deep Reinforcement Learning For Sequence to Sequence Models. arXiv preprint arXiv:1805.09461.
  • Shi, T., Kang, K., Choo, J., & Reddy, C. K. (2018, April). Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. In Proceedings of the 2018 World Wide Web Conference on World Wide Web (pp. 1105-1114). International World Wide Web Conferences Steering Committee.
Papers in Theoretical & Computational Chemistry
  • M.J. Catanzaro, T. Shi, S. Tretiak,and V.Y. Chernyak, ‘Counting the Number of Excited States in Organic Semiconductor Systems Using Topology’, J. Chem. Phys, 142, 084113 (2015).
  • T. Shi, H. Li, S. Tretiak, V. Y. Chernyak, ‘How Geometric Distortions Scattering Electronic Excitations in Conjugated Macromolecules’, J. Phys. Chem. Lett., 2014, 5 (22), 3946-3952.
Papers in Computational Mathematics
  • T. Shi, and S. N. A. He, ‘Modified Hybrid Algorithms for Lipschitz Quasi-Pseudo-Contractive Mappings in Hilbert Spaces’, Computers & Mathematics with Applications, 59 (2010), 2940-50.
  • S. N. A. He, and T. Shi, ‘Strong Convergence Theorems by Generalized CQ Method in Hilbert Spaces’, Fixed Point Theory, 12 (2011), 355-382. pdf
Papers in Software