Liangzu Peng

37 papers A* 10B 1Misc 1Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Continual Learning Through the Lens of Adaptive Filtering: A mathematical tutorial.
IEEE Signal Process. Mag.
Liangzu Peng, René Vidal
2026 J jnl
Global Truncated Loss Minimization for Robust and Threshold-Resilient Geometric Estimation.
CoRR
Tianyu Huang, Liangzu Peng, Xinyue Zhang, Tongfan Guan, Jinhu Dong, Haoang Li, Laurent Kneip, Yun-Hui Liu
2025 J jnl
Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression.
CoRR
Liangzu Peng, Aditya Chattopadhyay, Luca Zancato, Elvis Nunez, Wei Xia, Stefano Soatto
2025 A* conf
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning.
ICLR
Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2025 J jnl
Mathematics of Continual Learning.
CoRR
Liangzu Peng, René Vidal
2025 J jnl
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations.
CoRR
Buyun Liang, Liangzu Peng, Jinqi Luo, Darshan Thaker, Kwan Ho Ryan Chan, René Vidal
2024 J jnl
Accelerating Globally Optimal Consensus Maximization in Geometric Vision.
IEEE Trans. Pattern Anal. Mach. Intell.
Xinyue Zhang, Liangzu Peng, Wanting Xu, Laurent Kneip
2024 A* conf
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares.
ICML
Liangzu Peng, Wotao Yin
2024 J jnl
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares.
CoRR
Liangzu Peng, Wotao Yin
2024 J jnl
Efficient and Robust Point Cloud Registration via Heuristics-Guided Parameter Search.
IEEE Trans. Pattern Anal. Mach. Intell.
Tianyu Huang, Haoang Li, Liangzu Peng, Yinlong Liu, Yun-Hui Liu
2024 J jnl
Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search.
CoRR
Tianyu Huang, Haoang Li, Liangzu Peng, Yinlong Liu, Yun-Hui Liu
2024 — conf
HARD: Hyperplane ARrangement Descent.
CPAL
Tianjiao Ding, Liangzu Peng, René Vidal
2024 J jnl
ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models.
CoRR
Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2024 A* conf
Scalable 3D Registration via Truncated Entry-Wise Absolute Residuals.
CVPR
Tianyu Huang, Liangzu Peng, René Vidal, Yun-Hui Liu
2024 J jnl
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals.
CoRR
Tianyu Huang, Liangzu Peng, René Vidal, Yun-Hui Liu
2024 J jnl
Unlabeled Principal Component Analysis and Matrix Completion.
J. Mach. Learn. Res.
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
2023 J jnl
Accelerating Globally Optimal Consensus Maximization in Geometric Vision.
CoRR
Xinyue Zhang, Liangzu Peng, Wanting Xu, Laurent Kneip
2023 A* conf
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation.
CVPR
Liangzu Peng, Christian Kümmerle, René Vidal
2023 A* conf
The Ideal Continual Learner: An Agent That Never Forgets.
ICML
Liangzu Peng, Paris Giampouras, René Vidal
2023 J jnl
The Ideal Continual Learner: An Agent That Never Forgets.
CoRR
Liangzu Peng, Paris V. Giampouras, René Vidal
2022 A* conf
ARCS: Accurate Rotation and Correspondence Search.
CVPR
Liangzu Peng, Manolis C. Tsakiris, René Vidal
2022 J jnl
ARCS: Accurate Rotation and Correspondence Search.
CoRR
Liangzu Peng, Manolis C. Tsakiris, René Vidal
2022 A* conf
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression.
NeurIPS
Liangzu Peng, Christian Kümmerle, René Vidal
2022 — conf
Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not.
ECCV (23)
Liangzu Peng, Mahyar Fazlyab, René Vidal
2022 J jnl
Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search.
CoRR
Liangzu Peng, Mahyar Fazlyab, René Vidal
2021 A* conf
Homomorphic Sensing: Sparsity and Noise.
ICML
Liangzu Peng, Boshi Wang, Manolis C. Tsakiris
2021 A* conf
Unlabeled Principal Component Analysis.
NeurIPS
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
2021 J jnl
Unlabeled Principal Component Analysis.
CoRR
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
2021 B conf
Unsigned Matrix Completion.
ISIT
Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris
2020 J jnl
An Algebraic-Geometric Approach for Linear Regression Without Correspondences.
IEEE Trans. Inf. Theory
Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi
2020 J jnl
Homomorphic Sensing of Subspace Arrangements.
CoRR
Liangzu Peng, Boshi Wang, Manolis C. Tsakiris
2020 J jnl
Linear Regression Without Correspondences via Concave Minimization.
IEEE Signal Process. Lett.
Liangzu Peng, Manolis C. Tsakiris
2020 J jnl
Linear Regression without Correspondences via Concave Minimization.
CoRR
Liangzu Peng, Manolis C. Tsakiris
2019 Misc conf
Algebraically-initialized Expectation Maximization for Header-free Communication.
ICASSP
Liangzu Peng, Xuming Song, Manolis C. Tsakiris, Hayoung Choi, Laurent Kneip, Yuanming Shi
2019 A* conf
Homomorphic Sensing.
ICML
Manolis C. Tsakiris, Liangzu Peng
2019 J jnl
Homomorphic Sensing.
CoRR
Manolis C. Tsakiris, Liangzu Peng
2018 J jnl
An Algebraic-Geometric Approach to Shuffled Linear Regression.
CoRR
Manolis C. Tsakiris, Liangzu Peng, Aldo Conca, Laurent Kneip, Yuanming Shi, Hayoung Choi