Publications
By the common mathematics/theoretical computer science convention, authors are ordered alphabetically by last names.
Journal Publications
- Xiang Huang, Jack H. Lutz, Neil Lutz, and Andrei N. Migunov, "Algorithmic Randomness in Continuous-Time Markov Chains," Information and Computation, 2026, article 105024, doi:10.1016/j.ic.2026.105024
- Xiang Huang, Jack H. Lutz, Elvira Mayordomo, and Donald M. Stull, "Asymptotic divergences and strong dichotomy," in IEEE Transactions on Information Theory, vol. 67, no. 10, pp. 6296-6305, Oct. 2021, doi:10.1109/TIT.2021.3085425
- Xiang Huang, Titus H. Klinge, James I. Lathrop, Xiaoyuan Li and Jack H. Lutz: Real-Time Computability of Real Numbers by Chemical Reaction Networks. Volume 18, Issue 1, pp 63-73, Natural Computing (2019). (invited paper)
Conference Publications
Undergraduate students are underlined.
- Ho-Lin Chen and Xiang Huang. Bounded Analog Complexity. The 32nd International Conference on DNA Computing and Molecular Programming (DNA 32), LIPIcs vol. 387, pp. 14:1-14:22, 2026.
- Xiang Huang, Xiaoyuan Li, Jack H. Lutz, and Neil Lutz. "Multi-Head Finite-State Dimension". In Proceedings of the 51st International Symposium on Mathematical Foundations of Computer Science (MFCS 2026), LIPIcs vol. 386. arXiv:2509.22912.
- Nicholas Haisler, Xiang Huang, Andrei N Migunov, and Khalid Mohammed, Garrett Provence. "A Selective Dual-Railing Technique for General Purpose Analog Computers." In Proceedings of the 22nd International Conference on Unconventional Computation and Natural Computation (UCNC 2025), Sep 2025.
- Xiang Huang and Rachel Huls. Computing Real Numbers with Large-Population Protocols Having a Continuum of Equilibria. The 28th International Conference on DNA Computing and Molecular Programming (DNA 28, Albuquerque, NM, Aug 8-12, 2022).
- Xiang Huang, Jack H. Lutz, Elvira Mayordomo, and Donald M. Stull, Asymptotic divergences and strong dichotomy, Proceedings of the Thirty-seventh Symposium on Theoretical Aspects of Computer Science (STACS 2020, Montpellier, France, March 10-13, 2020) Journal Version
- Xiang Huang, Jack H. Lutz, and Andrei N. Migunov. Algorithmic Randomness in Continuous-Time Markov Chains, 2019. In Proceedings of the 57th Annual Allerton Conference on Communication, Control, and Computing. Journal Version
- Xiang Huang, Titus H. Klinge, James I. Lathrop. Real-Time Equivalence of Chemical Reaction Networks and Analog Computers. In: Thachuk C., Liu Y. (eds) DNA Computing and Molecular Programming. DNA 2019. Lecture Notes in Computer Science, vol 11648. Springer, Cham.
- Xiang Huang, Titus H. Klinge, James I. Lathrop, Xiaoyuan Li, and Jack H. Lutz. Real-Time Computability of Real Numbers by Chemical Reaction Networks. In Proceedings of the 16th International Conference on Unconventional Computation and Natural Computation (UCNC), June 2017, pp. 29-40. Journal Version
- Xiang Huang and Donald. M. Stull. Polynomial Space Randomness in Analysis. In Proceedings of the 41st International Symposium on Mathematical Foundations of Computer Science (MFCS), August 2016:86:1-86:13.
Preprints
- Ho-Lin Chen and Xiang Huang. Ripple: An Open, AI-Formalized Lean 4 Framework for Computing with CRNs. arXiv:2607.13531, 2026. (preprint).
Peer-Reviewed Workshop Paper/Extended Abstract
- Xiang Huang and Andrei N. Migunov, A General Purpose Analog Computer to Population Protocol Compiler, In Proceedings of the 21st ACM International Conference on Computing Frontiers Workshops and Special Sessions (CF ‘24 Companion), May 2024.
Book Chapter
- Xiang Huang, Deterministic Chemical Reaction Network, completed chapter for The Art of Molecular Programming. Part of a DNA/molecular computing community initiative to create a comprehensive molecular programming textbook molecularprogrammers.org.
PhD Thesis
- Chemical reaction networks: Computability, complexity, and randomness. Iowa State University, 2020.