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Salau, A., Dantu, R., Morozov, K., Badruddoja, S., Upadhayay, K. (2022). Making Blockchain Validators Honest. 267-273. San Antanio, Texas: 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA).
Badruddoja, S., Dantu, R., He, Y., Thompson, M., Salau, A., Upadyaya, K. (2022). Making Smart Contracts Predict and Scale. 127-134. San Antanio, Texas: 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA).
Badruddoja, S., Dantu, R., He, Y., Salau, A., Upadyaya, K. (2022). Scalable Smart Contracts for Linear Regression Algorithm. 19-31. 2022 International Conference on Blockchain Technology and Emerging Applications.
Badruddoja, S., Dantu, R., He, Y., Thompson, M., Salau, A., Upadyaya, K. (2022). Smarter Contracts to Predict using Deep-Learning Algorithms. 280-288. San Antanio, Texas: 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA).
Badruddoja, S., Dantu, R., He, Y., Thompson, M., Salau, A., Upadyaya, K. (2022). Trusted AI with Blockchain to Empower Metaverse. 237-244. San Antanio, Texas: 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA).
Upadhyaya, K., Dantu, R., He, Y., Badruddoja, S., Salau, A. (2021). Can't Understand SLAs? Use the Smart Contract. New York: 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
Upadhyay, K., Dantu, R., He, Y., Salulu, A., Badruddoja, S. (2021). Make Consumers Happy by Defuzzifying the Service Level Agreements,. New York: 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
Upadhyaya, K., Dantu, R., He, Y., Badruddoja, S., Salau, A. (2021). Paradigm Shift from Paper Contracts to Smart Contracts,. New York: 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
Badruddoja, S., Dantu, R., He, Y., Upadhyay, K., Thompson, M. A. (2021). Making Smart Contracts Smarter. 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).
He, Y., Hussaini, M. Y. (2020). Constructing Belief Functions Using the Principle of Minimum Uncertainty. 6. Virtual: IEEE FUZZY, July 19-24, 2020.
Mirzargar, M., He, Y., Kirby, R. M. (2015). Application of uncertainty modeling frameworks to uncertain isosurface extraction. 336-349. Cham: Springer.
He, Y., Hussaini, M. Y. (2014). An optimal unified combination rule. 39-48. Cham: Springer.
He, Y., Hussaini, Y. (2023). Mixed Aleatory and Epistemic Uncertainty Propagation using Dempster-Shafer Theory. Journal of Computational and Applied Mathematics. 429, 115234. Journal of Computational and Applied Mathematics.
Chilleri, J., He, Y., Bedrov, D., Kirby, R. M. (2021). Optimal allocation of computational resources based on Gaussian process: Application to molecular dynamics simulations. Computational Materials Science. 188, 110178. Elsevier.
He, Y., Chilleri, J., O'Leary, S. K., Shur, M. S., Kirby, R. M. (2020). Sensitivity analysis for an electron transport system: application to the case of wurtzite gallium nitride. Journal of Computational Electronics. 19, 103-110. https://doi.org/10.1007/s10825-019-01424-1
Waldrop, L. D., He, Y., Hedrick, T. L., Rader, J. A. (2020). Functional Morphology of Gliding Flight I: Modeling Reveals Distinct Performance Landscapes Based on Soaring Strategies. Integrative and Comparative Biology. 60(5), 1283-1296. https://api.elsevier.com/content/abstract/scopus_id/85096814648
Rader, J. A., Hedrick, T. L., He, Y., Waldrop, L. D. (2020). Functional Morphology of Gliding Flight II. Morphology Follows Predictions of Gliding Performance. Integrative and Comparative Biology. 60(5), 1297-1308. https://api.elsevier.com/content/abstract/scopus_id/85096814520
Waldrop, L. D., He, Y., Battista, N. A., Neary Peterman, T., Miller, L. A. (2020). Uncertainty quantification reveals the physical constraints on pumping by peristaltic hearts.. Other. 17(170), 20200232.
Razi, M., Wang, R., He, Y., Kirby, R. M., Dal Negro, Luca, (2019). Optimization of Large-Scale Vogel Spiral Arrays of Plasmonic Nanoparticles. Plasmonics. 14(1), 253-261.
Waldrop, L. D., He, Y., Khatri, S. (2018). What Can Computational Modeling Tell Us about the Diversity of Odor-Capture Structures in the Pancrustacea?. Other. 44(12), 1084-1100.
Bhaduri, A., He, Y., Shields, M. D., Graham-Brady, L., Kirby, R. M. (2018). Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis. Journal of Computational Physics. 371, 732-750. https://api.elsevier.com/content/abstract/scopus_id/85044111499
He, Y., Razi, M., Forestiere, C., Dal Negro, L., Kirby, R. M. (2018). Uncertainty quantification guided robust design for nanoparticles’ morphology. Computer Methods in Applied Mechanics and Engineering. 336, 578-593. https://api.elsevier.com/content/abstract/scopus_id/85056362031
Forestiere, C., He, Y., Wang, R., Kirby, R. M., Dal Negro, Luca, (2016). Inverse Design of Metal Nanoparticles' Morphology. Other. 3(1), 68-78.
He, Y., Xiu, D. (2016). Numerical strategy for model correction using physical constraints. Journal of Computational Physics. 313, 617-634.
He, Y., Hussaini, M. Y., Gong, Y. U., Xiao, Y. (2016). Optimal unified combination rule in application of Dempster-Shafer theory to lung cancer radiotherapy dose response outcome analysis.. Other. 17(1), 4-11.
Chen, X., He, Y., Xiu, D. (2015). AN EFFICIENT METHOD FOR UNCERTAINTY PROPAGATION USING FUZZY SETS. SIAM Journal on Scientific Computing. 37(6), A2488-A2507.
He, Y., Mirzargar, M., Hudson, S., Kirby, R. M., Whitaker, R. T. (2015). AN UNCERTAINTY VISUALIZATION TECHNIQUE USING POSSIBILITY THEORY: POSSIBILISTIC MARCHING CUBES. Other. 5(5), 433-451.
Wang, C., Qiu, Z., He, Y. (2015). Fuzzy interval perturbation method for uncertain heat conduction problem with interval and fuzzy parameters. International Journal for Numerical Methods in Engineering. 104(5), 330-346.
Wang, C., Qiu, Z., He, Y. (2015). Fuzzy stochastic finite element method for the hybrid uncertain temperature field prediction. International Journal of Heat and Mass Transfer. 91, 512-519.
He, Y., Mirzargar, M., Kirby, R. M. (2015). Mixed aleatory and epistemic uncertainty quantification using fuzzy set theory. Other. 66, 1-15.
He, Y., Hussaini, M. Y., Ma, J., Shafei, B., Steidl, G. (2012). A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data. Pattern Recognition. 45(9), 3463-3471.
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