  | Yang, Y., Pesavento, M., Eldar, Y. C., & Ottersten, B. (2019). Parallel coordinate descent algorithms for sparse phase retrieval. In Proc. 2019 IEEE International Conference on Acoustics, Speech and Signal (ICASSP).  Peer reviewed |
 | Yang, Y., Pesavento, M., Luo, Z.-Q., & Ottersten, B. (2019). Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/39480. doi:10.1109/TSP.2019.2959240 |
 | Yang, Y., Pesavento, M., Chatzinotas, S., & Ottersten, B. (2019). Energy efficiency optimization in MIMO interference channels: A successive pseudoconvex approximation approach. IEEE Transactions on Signal Processing. doi:10.1109/TSP.2019.2923141 Peer Reviewed verified by ORBi |
 | Yang, Y., Pesavento, M., Chatzinotas, S., & Ottersten, B. (December 2018). Successive convex approximation algorithms for sparse signal estimation with nonconvex regularizations. IEEE Journal of Selected Topics in Signal Processing, 12 (6), 1286-1302. doi:10.1109/JSTSP.2018.2877584 Peer reviewed |
  | Lei, L., You, L., Yang, Y., Yuan, D., Chatzinotas, S., & Ottersten, B. (2018). Power and Load Optimization in Interference-Coupled Non-Orthogonal Multiple Access Networks. In IEEE Global Communications Conference (GLOBECOM) 2018. doi:10.1109/GLOCOM.2018.8647669 Peer reviewed |
 | Yang, Y., Pesavento, M., Chatzinotas, S., & Ottersten, B. (2018). Parallel and hybrid soft-thresholding algorithms with line search for sparse nonlinear regression. In Proc. 26th European Signal Processing Conference. Peer reviewed |
 | Yang, Y., Pesavento, M., Chatzinotas, S., & Ottersten, B. (2018). Successive convex approximation algorithms for sparse signal estimation with nonconvex regularizations. In Proc. The 10th IEEE Sensor Array and Multichannel Signal Processing Workshop. Peer reviewed |
 | Cui, Y., Wang, Z., Yang, Y., Yang, F., Ding, L., & Qian, L. (July 2018). Joint and competitive caching designs in large-scale multi-tier wireless multicasting networks. IEEE Transactions on Communications, 66 (6), 3108-3121. doi:10.1109/TCOMM.2018.2807445 Peer Reviewed verified by ORBi |
 | Xue, J., Biswas, S., Cirik, A. C., Du, H., Yang, Y., Ratnarajah, T., & Sellathurai, M. (May 2018). Transceiver design of optimum wirelessly powered full-duplex MIMO IoT devices. IEEE Transactions on Communications, 66 (5), 1955 - 1969. doi:10.1109/TCOMM.2018.2801870 Peer Reviewed verified by ORBi |
 | Yang, Y., & Pesavento, M. (2018). Energy efficiency in MIMO interference channels: Social optimality and max-min fairness. In Proc. 2018 IEEE International Conference on Acoustics, Speech and Signal. Peer reviewed |
 | Yang, Y., & Pesavento, M. (2018). A parallel best-response algorithm with exact line search for nonconvex sparsity-regularized rank minimization. In Proc. 2018 IEEE International Conference on Acoustics, Speech and Signal. Peer reviewed |
 | Matthiesen, B., Yang, Y., & Jorswieck, E. (2018). Optimization of weighted individual energy efficiencies in interference networks. In Proc. IEEE Wireless Communications and Networking Conference. Peer reviewed |
 | Wang, Z., Cao, Z., Cui, Y., & Yang, Y. (2017). Joint and competitive caching designs in large-scale multi-tier wireless multicasting networks. In Proc. 60th IEEE Global Communications Conference. Peer reviewed |
 | Yang, Y., & Pesavento, M. (2017). Energy efficient transmission in MIMO interference channels with QoS constraints. In Proc. 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. Peer reviewed |
 | Yang, Y., & Sabella, D. (2017). Mobile network energy efficiency optimization in MIMO multi-cell systems. In Proc. 5th International Workshop on Cloud Technologies and Energy Efficiency in Mobile Communication Networks. doi:10.23919/CLEEN.2017.8045913 Peer reviewed |
 | Yang, Y., & Pesavento, M. (20 March 2017). A unified successive pseudoconvex approximation framework. IEEE Transactions on Signal Processing, 65 (13), 3313 - 3328. doi:10.1109/TSP.2017.2684748 Peer Reviewed verified by ORBi |
 | Yang, Y., & Pesavento, M. (2016). A parallel algorithm for energy efficiency maximization in massive MIMO networks. In Proc. 2016 IEEE Global Communications Conference. doi:10.1109/GLOCOM.2016.7841532 Peer reviewed |
 | Steffens, C., Yang, Y., & Pesavento, M. (2016). Multidimensional sparse recovery for MIMO channel parameter estimation. In Proc. 24th European Signal Processing Conference. doi:10.1109/EUSIPCO.2016.7760211 Peer reviewed |
 | Yang, Y., Marius, P., Mengyi, Z., & Daniel, P. (02 May 2016). An online parallel algorithm for recursive estimation of sparse signals. IEEE Transactions on Signal and Information Processing over Networks, 2 (3), 290-305. doi:10.1109/TSIPN.2016.2561703 Peer reviewed |
 | Yang, Y., Scutari, G., Palomar, D., & Pesavento, M. (16 February 2016). A parallel decomposition method for nonconvex stochastic multi-agent optimization problems. IEEE Transactions on Signal Processing, 64 (11), 2949-2964. doi:10.1109/TSP.2016.2531627 Peer Reviewed verified by ORBi |
 | Hedge, G., Yang, Y., Steffens, C., & Pesavento, M. (2016). Parallel low-complexity $M$-PSK Detector for large-scale MIMO systems. In Proc. 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop. Peer reviewed |
 | Yang, Y., & Pesavento, M. (2015). A novel iterative convex approximation method. In Proc. IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. doi:10.1109/CAMSAP.2015.7383795 Peer reviewed |
 | Yang, Y., & Pesavento, M. (2015). A novel line search method for nonsmooth optimization problems. In Proc. 23rd European Signal Processing Conference. doi:10.1109/EUSIPCO.2015.7362679 Peer reviewed |
 | Yang, Y., Zhang, M., Pesavento, M., & Palomar, D. (2014). An online parallel algorithm for spectrum sensing in cognitive radio networks. In Proc. 48th Asilomar Conference on Signals, Systems and Computers. doi:10.1109/ACSSC.2014.7094778 Peer reviewed |
 | Yang, Y., Scutari, G., Song, P., & Palomar, D. (17 October 2013). Robust MIMO cognitive radio systems under interference temperature constraints. IEEE Journal on Selected Areas In Communications, 31 (11), 2465-2482. doi:10.1109/JSAC.2013.131131 Peer Reviewed verified by ORBi |
 | Yang, Y., Rubio, F., Scutari, G., & Palomar, D. (2013). Multi-portfolio optimization: A potential game approach. IEEE Transactions on Signal Processing. doi:10.1109/TSP.2013.2277839 Peer Reviewed verified by ORBi |
 | Yang, Y., Scutari, G., & Palomar, D. (2013). Parallel stochastic decomposition algorithms for multi-agent systems. In Proc. IEEE 14th Workshop on Signal Processing Advances in Wireless Communications. doi:10.1109/SPAWC.2013.6612036 Peer reviewed |
 | Yang, Y., Song, P., Scutari, G., & Palomar, D. (2013). Robust MIMO cognitive radio systems under interference temperature constraints. In Proc. 2013 IEEE International Conference on Acoustics, Speech and Signal. doi:10.1109/ICASSP.2013.6638512 Peer reviewed |
 | Yang, Y., Rubio, F., Scutari, G., & Palomar, D. (2011). Multi-portfolio optimization: A potential game approach. In Game Theory for Networks, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 75. Springer, Berlin, Heidelberg. doi:10.1007/978-3-642-30373-9_13 Peer reviewed |
 | Yang, Y., Zhang, Z., & Huang, Q. (2009). An efficient joint timing and frequency offset estimation for OFDM systems. In Proc. IEEE 69th Vehicular Technology Conference. doi:10.1109/VETECS.2009.5073379 Peer reviewed |