Liangzu Peng

According to our database, Liangzu Peng authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Accelerating Globally Optimal Consensus Maximization in Geometric Vision.

Xinyue Zhang, Liangzu Peng, Wanting Xu, Laurent Kneip

CoRR, 2023

The Ideal Continual Learner: An Agent That Never Forgets.

Liangzu Peng, Paris Giampouras, René Vidal

Proceedings of the International Conference on Machine Learning, 2023

On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation.

Liangzu Peng, Christian Kümmerle, René Vidal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search.

Liangzu Peng, Mahyar Fazlyab, René Vidal

CoRR, 2022

Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression.

Liangzu Peng, Christian Kümmerle, René Vidal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Liangzu Peng, Mahyar Fazlyab, René Vidal

Proceedings of the Computer Vision - ECCV 2022, 2022

ARCS: Accurate Rotation and Correspondence Search.

Liangzu Peng, Manolis C. Tsakiris, René Vidal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unlabeled Principal Component Analysis.

Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsigned Matrix Completion.

Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris

Proceedings of the IEEE International Symposium on Information Theory, 2021

Homomorphic Sensing: Sparsity and Noise.

Liangzu Peng, Boshi Wang, Manolis C. Tsakiris

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

An Algebraic-Geometric Approach for Linear Regression Without Correspondences.

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

IEEE Trans. Inf. Theory, 2020

Linear Regression Without Correspondences via Concave Minimization.

Liangzu Peng, Manolis C. Tsakiris

IEEE Signal Process. Lett., 2020

Homomorphic Sensing of Subspace Arrangements.

Liangzu Peng, Boshi Wang, Manolis C. Tsakiris

CoRR, 2020

2019

Homomorphic Sensing.

Manolis C. Tsakiris, Liangzu Peng

Proceedings of the 36th International Conference on Machine Learning, 2019

Algebraically-initialized Expectation Maximization for Header-free Communication.

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

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

An Algebraic-Geometric Approach to Shuffled Linear Regression.

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

CoRR, 2018