← Authors

Yuqian Zhang

11 papers · 2013–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion πŸ† Grand Slam πŸ’Ž Century Club (11) πŸ”₯ Unstoppable (5) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (52) πŸ“ˆ Trend Setter

Conferences

NIPS (4) ICLR (2) AAAI (1) ACL (1) CVPR (1) ICCV (1) ICML (1)

Top co-authors

John Wright (6) Han-wen Kuo (5) Qing Qu (3) Yenson Lau (3) Yonina Eldar (1) Madeleine Udell (1) Jicong Fan (1) Cun Mu (1) Yuexiang Zhai (1) Yudong Chen (1)

Keywords

nonconvex optimization (3) sparse decomposition (2) low-rank matrix (2) blind deconvolution (2) convex optimization (1) matrix factorization (1) compressed sensing (1) object recognition (1) non-convex optimization (1) transductive learning (1) parameter estimation (1) em algorithm (1) model calibration (1) global convergence (1) low-rank decomposition (1) expectation maximization (1) convergence analysis (1) signal processing (1) sparse signal recovery (1) sparse coding (1)

Papers

A Survey of Uncertainty Estimation Methods on Large Language Models ACL 2025
Unique sparse decomposition of low rank matrices NIPS 2021
Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning ICLR 2020
Short and Sparse Deconvolution --- A Geometric Approach ICLR 2020
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning AAAI 2020
Geometry and Symmetry in Short-and-Sparse Deconvolution ICML 2019
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities NIPS 2019
Structured Local Minima in Sparse Blind Deconvolution NIPS 2018
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution CVPR 2017
Convolutional Phase Retrieval NIPS 2017
Toward Guaranteed Illumination Models for Non-convex Objects ICCV 2013