Yingzhen Yang

23 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🏃 Academic Marathon (11) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (12)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🏃 Academic Marathon (11) 🐺 Lone Wolf (3) 🌱 Topic Pioneer 🏆 Grand Slam 🗃️ Keyword Collector (70) 🚀 Conference Pioneer 💎 Century Club (22) 📈 Trend Setter ⚡ Prolific Year (5)

Conferences

UAI (5) ICLR (4) ICML (4) CVPR (2) NIPS (2) AAAI (1) AISTATS (1) ALT (1) IJCAI (1) NAACL (1) WACV (1)

Top co-authors

Yancheng Wang (6) Ping Li (5) Thomas S. Huang (4) Zhangyang Wang (4) Rajeev Goel (3) Shiyu Chang (3) Utkarsh Nath (3) Teresa Wu (2) Nebojsa Jojic (2) Alvin C. Silva (2)

Keywords

dimensionality reduction (2) convolutional neural network (2) sparse subspace clustering (2) proximal gradient descent (2) representation learning (1) 3d reconstruction (1) model compression (1) medical imaging (1) feature learning (1) robust regression (1) non-convex optimization (1) domain adaptation (1) image restoration (1) sparse coding (1) sparse representation (1) vision transformer (1) sparse learning (1) similarity learning (1) compressive sensing (1) zero-shot learning (1)

Papers

Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention ALT 2026 A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning ICML 2025 Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees ICLR 2025 Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation WACV 2025 Informative Synthetic Data Generation for Thorax Disease Classification UAI 2025 Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate ICML 2025 Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach ICML 2024 Learning Low-Rank Feature for Thorax Disease Classification NIPS 2024 RecMind: Large Language Model Powered Agent For Recommendation NAACL 2024 Neural Architecture Search Finds Robust Models by Knowledge Distillation UAI 2024 Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property ICLR 2023 Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning AAAI 2023 Locally Regularized Sparse Graph by Fast Proximal Gradient Descent UAI 2023 Noisy L0-sparse subspace clustering on dimensionality reduced data UAI 2022 Discriminative Similarity for Data Clustering ICLR 2022 FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary ICLR 2020 Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems UAI 2019 WSNet: Compact and Efficient Networks Through Weight Sampling ICML 2018 Dimensionality Reduced $\ell^{0}$-Sparse Subspace Clustering AISTATS 2018 D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images CVPR 2016 Studying Very Low Resolution Recognition Using Deep Networks CVPR 2016 A Joint Optimization Framework of Sparse Coding and Discriminative Clustering IJCAI 2015 On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification NIPS 2014