Jiangjun Peng

6 papers · 2023–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver

Venues

AAAI (2) IJCAI (2) ICCV (1) NeurIPS (1)

Top co-authors

Hailin Wang (4) Deyu Meng (4) Shuang Xu (3) Xiangyong Cao (3) Shuaijiang Li (1) Jianjun Wang (1) Xixi Jia (1) Yisi Luo (1) Jingyao Hou (1) Xinling Liu (1)

Research topics

Machine Learning (5) Mathematics & Optimization (4) Optimization (4) Optimization & Theory · Machine Learning (4) Computer Vision (2) Processing (2) Deep Learning (1) Core Methods (1) Domain-Specific (1) Learning Types (1) Mathematics (1) Optimization & Theory · Deep Learning (1)

Keywords

hyperspectral image (2) non-convex optimization (1) matrix factorization (1) image fusion (1) global convergence (1) video restoration (1) low-rank decomposition (1) image denoising (1) spatial smoothness (1) robust pca (1) matrix completion (1) low-rank recovery (1) robust principal component analysis (1) matrix recovery (1) local smoothness (1) low-rank structure (1) admm algorithm (1) scaled gradient descent (1) tensor nuclear norm (1) total variation regularization (1)

Papers

Fast Guaranteed Robust Local-Smooth Principal Component Separation AAAI 2026 Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm IJCAI 2025 Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm IJCAI 2025 Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image ICCV 2025 Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent NeurIPS 2023 Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness AAAI 2023