A complete publication list can be found on Tianyi Liu’s profiles in Google Scholar and Research Gate.
Theses
Tianyi Liu (2024). A parallel successive convex approximation framework with smoothing majorization for phase retrieval.
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Tianyi Liu (2018). A scalable graph-based mixed-integer linear programming approach for the examination timetabling problem.
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Book Chapters
Khaled Ardah, Martin Haardt, Tianyi Liu, Frederic Matter, Marius Pesavento, Marc E. Pfetsch (2022). Recovery under side constraints. Compressed sensing in information processing.
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Preprints
Tianyi Liu, Frederic Matter, Alexander Sorg, Marc E. Pfetsch, Martin Haardt, Marius Pesavento (2024). Maximum a posteriori direction-of-arrival estimation via mixed-integer semidefinite programming. arXiv.
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Tianyi Liu, Sai Pavan Deram, Khaled Ardah, Martin Haardt, Marc E. Pfetsch, Marius Pesavento (2024). Gridless parameter estimation in partly calibrated rectangular arrays. arXiv.
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Journal Articles
Raphael Müller, Gianni Allevato, Matthias Rutsch, Christoph Haugwitz, Tianyi Liu, Mario Kupnik, Marius Pesavento (2024). A tensor model for the calibration of air-coupled ultrasonic sensor arrays in 3D imaging. Signal Processing.
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Tianyi Liu, Andreas M. Tillmann, Yang Yang, Yonina C. Eldar, Marius Pesavento (2022). Extended successive convex approximation for phase retrieval with dictionary learning. IEEE Transactions on Signal Processing.
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Conference Proceedings
Tianyi Liu, Marius Pesavento (2024). Blind phase-offset estimation in sparse partly calibrated arrays. 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM).
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Tianyi Liu, Sai Pavan Deram, Khaled Ardah, Martin Haardt, Marc E. Pfetsch, Marius Pesavento (2024). Gridless parameter estimation in partly calibrated rectangular arrays. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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Tianyi Liu, Frederic Matter, Alexander Sorg, Marc E. Pfetsch, Martin Haardt, Marius Pesavento (2023). Joint sparse estimation with cardinality constraint via mixed-integer semidefinite programming. 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
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Yani Zhang, Tianyi Liu, Marius Pesavento (2023). Direction-of-arrival estimation for correlated sources and low sample size. 2023 31st European Signal Processing Conference (EUSIPCO).
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Tianyi Liu, Andreas M. Tillmann, Yang Yang, Yonina C. Eldar, Marius Pesavento (2021). A parallel algorithm for phase retrieval with dictionary learning. IEEE International Conference on Acoustics, Speech and Signal Processing.
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Xingran Wang, Tianyi Liu, Minh Trinh-Hoang, Marius Pesavento (2020). GPU-accelerated parallel optimization for sparse regularization. 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM).
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Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento (2019). A block coordinate descent algorithm for sparse Gaussian graphical model inference with laplacian constraints. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing.
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Tianyi Liu, Minh Trinh-Hoang, Yang Yang, Marius Pesavento (2019). A parallel optimization approach on the infinity norm minimization problem. 2019 27th European Signal Processing Conference (EUSIPCO).
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