Publication

\(^*\): Links to representative papers that I first-authored.

1. Homomorphic sensing of subspace arrangements (arXiv)

   Applied and Computational Harmonic Analysis, 2021

   Liangzu Peng, Manolis C. Tsakiris

2. Linear regression without correspondences via concave minimization (arXiv)

   IEEE Signal Processing Letters, 2020

   Liangzu Peng, Manolis C. Tsakiris

3. An algebraic-geometric approach to linear regression without correspondences (arXiv)

   IEEE Transactions on Information Theory, 2020

   Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi

1. Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not (arXiv)

   ECCV 2022

   Liangzu Peng, Mahyar Fazlyab, René Vidal

   Oral Presentation (158/5803≈2.7% acceptance rate)

2. ARCS: Accurate rotation and correspondences search (arXiv)

   CVPR 2022

   Liangzu Peng, Manolis C. Tsakiris, René Vidal

   Oral Presentation (342/8161≈4.2% acceptance rate)

3. Unlabeled principal component analysis (arXiv)

   NeurIPS 2021

   Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris

4. Homomorphic sensing: Sparsity and noise (pdf)

   ICML 2021

   Liangzu Peng, Boshi Wang, Manolis C. Tsakiris

5. Unsigned matrix competion

   ISIT 2021

   Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris

6. Homomorphic sensing (pdf, code)

   ICML 2019

   Manolis C. Tsakiris, Liangzu Peng

7. Algebraically-initialized Expectation Maximization for Header-free Communication (pdf)

   ICASSP 2019

   Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, Yuanming Shi

I have been lucky to co-author papers with: