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Publication
I have been lucky to co-author papers with (the most recent researcher first):
arXiv
- Unlabeled principal component analysis (arXiv)
- arXiv:2101.09446 [cs.LG], 2021
- Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
Journal Papers
- Homomorphic sensing of subspace arrangements (arXiv)
- Applied and Computational Harmonic Analysis, vol. 55, pp. 466-485, 2021
- Liangzu Peng, Manolis C. Tsakiris
- Linear regression without correspondences via concave minimization (arXiv, IEEE Xplore)
- IEEE Signal Processing Letters, vol. 27, pp. 1580-1584, 2020
- Liangzu Peng, Manolis C. Tsakiris
- An algebraic-geometric approach to linear regression without correspondences (arXiv, IEEE Xplore)
- IEEE Transactions on Information Theory, vol. 66, no. 8, pp. 5130-5144, 2020
- Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi
Conference Papers
- Homomorphic sensing: sparsity and noise (PMLR)
- International Conference on Machine Learning (ICML), 2021
- Liangzu Peng, Boshi Wang, Manolis C. Tsakiris
- Unsigned matrix competion
- IEEE International Symposium on Information Theory (ISIT), 2021
- Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
- Homomorphic sensing (PMLR, GitHub)
- International Conference on Machine Learning (ICML), 2019
- Manolis C. Tsakiris, Liangzu Peng
- Algebraically-initialized Expectation Maximization for Header-free
Communication (IEEE Xplore)
- International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
- Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, Yuanming Shi
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