Publications at LSU
*Corresponding Author(s)
14. Devarakonda, V. S., Sun, W., Tang, X.*, Tian, Y.*, “Recent Advances in Reinforcement Learning for Chemical Process Control”, Processes, 2025. link
13. Lizano, A., Li, H.*, Tang, X.*, “A spectroscopic data-sparing modeling framework for crystallization composition prediction”, ChemRxiv., 2025. link
12. Spurgeon, M., Clark, T., Spartalis, R. T., Darlington, A., Tang, X.*, Foo, M.*, “Designing biological network motif-based controllers by reverse engineering Hill function-type models from linear models”, J. R. Soc. Interface, 2025, link
11. Spartalis, R. S., Foo, M.*, Tang, X.*, “Feed Forward Loop Improves the Transient Dynamics of an Antithetic Biological Controller”, J. R. Soc. Interface, 2025. link
10. Essuman, J., Meng, X., Tang, X., Curry, M., “Reinforcement learning based motion control of 4-in-Wheel motor actuated electric vehicles”, Unmanned Systems, 2025. link.
9. Ma, F., Ji, C., Wang, J., Sun, W., Tang, X.*, Jiang, Z.*, "MOLA: Enhancing Industrial Process Monitoring Using a Multi-Block Orthogonal Long Short-Term Memory Autoencoder", Processes, Dec. 2024. link
8. Lizano, A., Namikas, B., Tang, X.*, "Siamese neural network improves the performance of a convolutional neural network in colloidal self-assembly state classification", Journal of Chemical Physics, Nov. 2024. pdf
7. Spartalis, T.R., Lizano, A., Copeland, C.E., Kwon, Y.C.*, Tang, X.*, "Current Application of Modeling and Cell-Free System for Synthetic Gene Circuit Design", Synthetic Biology and Engineering, Aug. 2024. pdf
6. Liu, C. Han, C., Gu, C., Sun, W., Wang, J., Tang, X*., "Operating Condition Design with a Bayesian Optimization Approach for Pharmaceutical Intermediate Batch Concentration", Computers & Chemical Engneering, Jul. 2024. pdf
5. Lizano, A., Tang, X.*, "Convolutional Neural Network-based Colloidal Self-Assembly State Classification", Soft Matter, April. 2023. pdf
4. Stone, A., Ryan, J., Tang, X., Tian, X.J.*, "Negatively Competitive Incoherent Feedforward Loops Mitigate Winner-Take-All Resource Competition", ACS Synthetic Biology, Nov. 2022. pdf
3. Ryan J., Hong, S., Foo, M., Kim, J., Tang, X.*, "Model-Based Investigation of the Relationship between Regulation Level and Pulse Property of I1-FFL Gene Circuits", ACS Synthetic Biology, June 2022. pdf
2. Tang, X., Grover, M., "Control of Microparticle Assembly", Annual Review of Control, Robotics, and Autonomous Systems, Online, November 2021. https://doi.org/10.1146/annurev-control-042920-100621
1. Hong, S., Jeong, D., Ryan, J., Foo, M.*, Tang, X.*, Kim, J.*, “Design and evaluation of synthetic RNA-based incoherent feed-forward loop circuits”, Biomolecules, pp. 1182, August 2021. pdf
Selected Publications Prior to LSU
For a complete publication list, please refer to GoogleScholar.
Grover, M. A., Griffin, D., Tang, X., Kim, Y., Rousseau, R., “Optimal feedback control of self-assembly”, Journal of Process Control, pp. 32-42, Feb. 2020.
Westbrook, A.*, Tang, X.*, Marshall, R., Maxwell, C. S., Dunlop, M. J., Noireaux, V., Beisel, C. L., Lucks, J., Franco, E., “Distinct timescales of RNA regulators enable the construction of a genetic pulse generator”, Biotechnology and Bioengineering, pp. 1139-1151, May 2019. (*Co-first authors)
Agrawal, D. K.*, Tang, X.*, Westbrook, A., Marshall, R., Maxwell, C. S., Lucks, J., Noireaux, V., Beisel, C. L., Dunlop, M. J., Franco, E., “Mathematical modeling of RNA-based architectures for closed loop control of gene expression”, ACS Syn. Bio., pp. 1219-1228, April 2018. (*Co-first authors)
Tang, X., Zhang, J., Bevan, M. A., Grover, M. A., “A comparison of open-loop and closed-loop strategies in colloidal self-assembly”, Journal of Process Control, pp. 141-151, Dec. 2017.
Tang, X., Rupp, B., Yang, Y., Edward, T. D., Grover, M. A., Bevan, M. A., “Optimal feedback controlled assembly of perfect crystals”, ACS Nano, Vol. 10, pp. 6791-6798, July 2016.