Liangzu Peng

Orcid: 0000-0003-0708-7543

According to our database1, Liangzu Peng authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Efficient and Robust Point Cloud Registration via Heuristics-Guided Parameter Search.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Accelerating Globally Optimal Consensus Maximization in Geometric Vision.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Unlabeled Principal Component Analysis and Matrix Completion.
J. Mach. Learn. Res., 2024

ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models.
CoRR, 2024

Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scalable 3D Registration via Truncated Entry-Wise Absolute Residuals.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
The Ideal Continual Learner: An Agent That Never Forgets.
Proceedings of the International Conference on Machine Learning, 2023

On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation.
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.
CoRR, 2022

Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

ARCS: Accurate Rotation and Correspondence Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Unlabeled Principal Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsigned Matrix Completion.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Homomorphic Sensing: Sparsity and Noise.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
An Algebraic-Geometric Approach for Linear Regression Without Correspondences.
IEEE Trans. Inf. Theory, 2020

Linear Regression Without Correspondences via Concave Minimization.
IEEE Signal Process. Lett., 2020

Homomorphic Sensing of Subspace Arrangements.
CoRR, 2020

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

Algebraically-initialized Expectation Maximization for Header-free Communication.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
An Algebraic-Geometric Approach to Shuffled Linear Regression.
CoRR, 2018


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