Liangzu Peng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Globally Optimal

Linear Regression

Top Venues

Publications

Tianyu Huang, Haoang Li, Liangzu Peng, Yinlong Liu, Yun-Hui Liu
Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search. CoRR (2024)
Tianyu Huang, Liangzu Peng, René Vidal, Yun-Hui Liu
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals. CoRR (2024)
Xinyue Zhang, Liangzu Peng, Wanting Xu, Laurent Kneip
Accelerating Globally Optimal Consensus Maximization in Geometric Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Liangzu Peng, Wotao Yin
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares. CoRR (2024)
Liangzu Peng, Christian Kümmerle, René Vidal
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation. CVPR (2023)
Liangzu Peng, Paris Giampouras, René Vidal
The Ideal Continual Learner: An Agent That Never Forgets. ICML (2023)
Liangzu Peng, Paris V. Giampouras, René Vidal
The Ideal Continual Learner: An Agent That Never Forgets. CoRR (2023)
Xinyue Zhang, Liangzu Peng, Wanting Xu, Laurent Kneip
Accelerating Globally Optimal Consensus Maximization in Geometric Vision. CoRR (2023)
Liangzu Peng, Manolis C. Tsakiris, René Vidal
ARCS: Accurate Rotation and Correspondence Search. CoRR (2022)
Liangzu Peng, Mahyar Fazlyab, René Vidal
Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search. CoRR (2022)
Liangzu Peng, Christian Kümmerle, René Vidal
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression. NeurIPS (2022)
Liangzu Peng, Manolis C. Tsakiris, René Vidal
ARCS: Accurate Rotation and Correspondence Search. CVPR (2022)
Liangzu Peng, Mahyar Fazlyab, René Vidal
Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not. ECCV (23) (2022)
Liangzu Peng, Boshi Wang, Manolis C. Tsakiris
Homomorphic Sensing: Sparsity and Noise. ICML (2021)
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
Unlabeled Principal Component Analysis. CoRR (2021)
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
Unlabeled Principal Component Analysis. NeurIPS (2021)
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
Unsigned Matrix Completion. ISIT (2021)
Liangzu Peng, Boshi Wang, Manolis C. Tsakiris
Homomorphic Sensing of Subspace Arrangements. CoRR (2020)
Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi
An Algebraic-Geometric Approach for Linear Regression Without Correspondences. IEEE Trans. Inf. Theory 66 (8) (2020)
Liangzu Peng, Manolis C. Tsakiris
Linear Regression without Correspondences via Concave Minimization. CoRR (2020)
Liangzu Peng, Manolis C. Tsakiris
Linear Regression Without Correspondences via Concave Minimization. IEEE Signal Process. Lett. 27 (2020)
Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, Yuanming Shi
Algebraically-initialized Expectation Maximization for Header-free Communication. ICASSP (2019)
Manolis C. Tsakiris, Liangzu Peng
Homomorphic Sensing. CoRR (2019)
Manolis C. Tsakiris, Liangzu Peng
Homomorphic Sensing. ICML (2019)
Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi
An Algebraic-Geometric Approach to Shuffled Linear Regression. CoRR (2018)