[1] Y. Zhang, O. Simeone, and HV. Poor. ''Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities,'' arXiv preprint arXiv:2505.11265, 2025.

[2] J. Liu, X. Shi, Y. Zhang, Y. Ge, and RC. Qiu. ''DGAR: A Unified Domain Generalization Framework for RF-Based Human Activity Recognition,'' arXiv preprint arXiv:2503.17667, 2025.

[J. 3] Y. Zhang, S. Park, and O. Simeone, ''Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search,'' in IEEE Transactions on Signal Processing, vol. 73, pp. 418-432,  Jan. 2025.

[J. 2] Y. Zhang, S. Park, and O. Simeone, "Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction," in IEEE Journal of Selected Topics in Signal Processing, vol. 19, no. 1, pp. 45-59, Jan. 2025.

[J.1] Y. Zhang, O. Simeone, S. T. Jose, L. Maggi and A. Valcarce, "Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management," in IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 5, pp. 1282-1295, Oct. 2023.

[C.3] Y. Zhang, S. Park and O. Simeone, ''Transferable Multi-Fidelity Bayesian Optimization for Radio Resource Management,'' in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 10-13 Sep 2024, Lucca, Italy.

[C.2] Y. Zhang, D. Liu and O. Simeone, "Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo," in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 4-6 July 2022, Oulu, Finland.

[C.1] Y. Zhang, S. T. Jose and O. Simeone, "Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization," in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 25-28 Oct. 2021, Gold Coast, Australia.