Zhiqiang Xu
35 papers · 2009–2025 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 23% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Zhiqiang Xu?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ping Li, Yingxue Zhou, Belhal Karimi
8 papers
· 2019–2022
· NeurIPS, ALT, ACML
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Faster Noisy Power Method
ALT 2022
Noisy Riemannian Gradient Descent for Eigenvalue
Computation with Application to Inexact Stochastic
Recursive Gradient Algorithm
ACML 2022
A Comprehensively Tight Analysis of Gradient Descent for PCA
NeurIPS 2021
On the Faster Alternating Least-Squares for CCA
AISTATS 2021
On the Riemannian Search for Eigenvector Computation
JMLR 2021
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace
UAI 2020
Towards Better Generalization of Adaptive Gradient Methods
NeurIPS 2020
Towards Practical Alternating Least-Squares for CCA
NeurIPS 2019
6 papers whose co-authors appear nowhere else under this name
A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy
AAAI 2025
DALD: Improving Logits-based Detector without Logits from Black-box LLMs
NeurIPS 2024
Visual Question Decomposition on Multimodal Large Language Models
EMNLP 2024
On the Accelerated Noise-Tolerant Power Method
AISTATS 2023
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation
NeurIPS 2018
Marginal Likelihood Integrals for Mixtures of Independence Models
JMLR 2009