Yang, Yingzhen

33 publications

ICML 2025 A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning Yingzhen Yang
WACV 2025 Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan Turaga
TMLR 2025 Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang, Changyu Liu, Yingzhen Yang
UAI 2025 Informative Synthetic Data Generation for Thorax Disease Classification Yancheng Wang, Rajeev Goel, Marko Jojic, Alvin C. Silva, Teresa Wu, Yingzhen Yang
ICML 2025 Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate Yingzhen Yang
ICLR 2025 Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees Yingzhen Yang, Ping Li
NeurIPSW 2024 Differentiable Attention Yancheng Wang, Dongfang Sun, Yingzhen Yang
NeurIPS 2024 Learning Low-Rank Feature for Thorax Disease Classification Yancheng Wang, Rajeev Goel, Utkarsh Nath, Alvin C. Silva, Teresa Wu, Yingzhen Yang
UAI 2024 Neural Architecture Search Finds Robust Models by Knowledge Distillation Utkarsh Nath, Yancheng Wang, Yingzhen Yang
ICML 2024 Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach Yancheng Wang, Ping Li, Yingzhen Yang
AAAI 2023 Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
UAI 2023 Locally Regularized Sparse Graph by Fast Proximal Gradient Descent Dongfang Sun, Yingzhen Yang
ICLR 2023 Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property Yingzhen Yang, Ping Li
ICLRW 2023 Robust Neural Architecture Search by Cross-Layer Knowledge Distillation Utkarsh Nath, Yancheng Wang, Yingzhen Yang
ICLR 2022 Discriminative Similarity for Data Clustering Yingzhen Yang, Ping Li
UAI 2022 Noisy L0-Sparse Subspace Clustering on Dimensionality Reduced Data Yingzhen Yang, Ping Li
ICLR 2020 FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
UAI 2019 Fast Proximal Gradient Descent for a Class of Non-Convex and Non-Smooth Sparse Learning Problems Yingzhen Yang, Jiahui Yu
AISTATS 2018 Dimensionality Reduced $\ell{0}$-Sparse Subspace Clustering Yingzhen Yang
ICML 2018 WSNet: Compact and Efficient Networks Through Weight Sampling Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan
UAI 2017 Neighborhood Regularized L1-Graph Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang
ICLR 2017 Support Regularized Sparse Coding and Its Fast Encoder Yingzhen Yang, Jiahui Yu, Pushmeet Kohli, Jianchao Yang, Thomas S. Huang
CVPR 2016 D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang
AAAI 2016 Epitomic Image Super-Resolution Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang
IJCAI 2016 Learning a Deep ℓ∞ Encoder for Hashing Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang
AAAI 2016 On Order-Constrained Transitive Distance Clustering Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar
CVPR 2016 Studying Very Low Resolution Recognition Using Deep Networks Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang
ECCV 2016 ℓ 0 ℓ 0 -Sparse Subspace Clustering Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
IJCAI 2015 A Joint Optimization Framework of Sparse Coding and Discriminative Clustering Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang
CVPRW 2015 Self-Tuned Deep Super Resolution Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
AAAI 2014 Data Clustering by Laplacian Regularized L1-Graph Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang
NeurIPS 2014 On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, Thomas S. Huang
AAAI 2012 Pairwise Exemplar Clustering Yingzhen Yang, Xinqi Chu, Feng Liang, Thomas S. Huang