Distortion Optimization based Image Completion from a Large Displacement View. - Chunxiao Liu; Yingzhen Yang; Qunsheng Peng 001; Jin Wang; Wei Chen 001 (Comput. Graph. Forum, 2008)

Entertaining video warping. - Yingzhen Yang; Yin Zhu; Chunxiao Liu; Chengfang Song; Qunsheng Peng 001 (CAD/Graphics, 2009)

Image completion using structural priority belief propagation. - Yingzhen Yang; Yin Zhu; Qunsheng Peng 001 (ACM Multimedia, 2009)

An improved belief propagation method for dynamic collage. - Yingzhen Yang; Yichen Wei; Chunxiao Liu; Qunsheng Peng 001; Yasuyuki Matsushita (Vis. Comput., 2009)

Virtual gazing in video surveillance. - Yingzhen Yang; Yang Cai (SMVC@MM, 2010)

Pattern mining from saccadic motion data. - Peter Liang; Yingzhen Yang; Yang Cai (ICCS, 2010)

Pairwise Exemplar Clustering. - Yingzhen Yang; Xinqi Chu; Feng Liang 002; Thomas S. Huang (AAAI, 2012)

Generalization Analysis for Classification - Yingzhen Yang; Xinqi Chu; Thomas S. Huang (CoRR, 2012)

Epitome for Automatic Image Colorization - Yingzhen Yang; Xinqi Chu; Tian-Tsong Ng; Alex Yong Sang Chia; Shuicheng Yan; Thomas S. Huang (CoRR, 2012)

Pairwise Clustering by Minimizing the Error of Unsupervised Nearest Neighbor Classification. - Yingzhen Yang; Xinqi Chu; Thomas S. Huang (ICMLA (2), 2013)

Data Clustering by Laplacian Regularized L1-Graph. - Yingzhen Yang; Zhangyang Wang; Jianchao Yang; Jiangping Wang; Shiyu Chang; Thomas S. Huang (AAAI, 2014)

Regularized l1-Graph for Data Clustering. - Yingzhen Yang; Zhangyang Wang; Jianchao Yang; Jiawei Han 001; Thomas S. Huang (BMVC, 2014)

Epitomic image colorization. - Yingzhen Yang; Xinqi Chu; Tian-Tsong Ng; Alex Yong Sang Chia; Jianchao Yang; Hailin Jin; Thomas S. Huang (ICASSP, 2014)

Discriminative Exemplar clustering. - Yingzhen Yang; Feng Liang 002; Thomas S. Huang (ICASSP, 2014)

On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification. - Yingzhen Yang; Feng Liang 002; Shuicheng Yan; Zhangyang Wang; Thomas S. Huang (NIPS, 2014)

Sparse Coding and its Applications in Computer Vision - Zhaowen Wang; Jianchao Yang; Haichao Zhang 001; Zhangyang Wang; Yingzhen Yang; Ding Liu 001; Thomas S. Huang (WorldScientific, 2015)

Self-tuned deep super resolution. - Zhangyang Wang; Yingzhen Yang; Zhaowen Wang; Shiyu Chang; Wei Han 002; Jianchao Yang; Thomas S. Huang (CVPR Workshops, 2015)

A Joint Optimization Framework of Sparse Coding and Discriminative Clustering. - Zhangyang Wang; Yingzhen Yang; Shiyu Chang; Jinyan Li 002; Simon Fong 001; Thomas S. Huang (IJCAI, 2015)

Designing a composite dictionary adaptively from joint examples. - Zhangyang Wang; Yingzhen Yang; Jianchao Yang; Thomas S. Huang (VCIP, 2015)

Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. - Weiyang Liu; Zhiding Yu; Yingzhen Yang; Meng Yang 001 (CoRR, 2015)

Learning ℓ0-Graph for Data Clustering. - Yingzhen Yang; Jiashi Feng; Jianchao Yang; Thomas S. Huang (CoRR, 2015)

Learning Super-Resolution Jointly From External and Internal Examples. - Zhangyang Wang; Yingzhen Yang; Zhaowen Wang; Shiyu Chang; Jianchao Yang; Thomas S. Huang (IEEE Trans. Image Process., 2015)

Epitomic Image Super-Resolution. - Yingzhen Yang; Zhangyang Wang; Zhaowen Wang; Shiyu Chang; Ding Liu 001; Honghui Shi; Thomas S. Huang (AAAI, 2016)

On Order-Constrained Transitive Distance Clustering. - Zhiding Yu; Weiyang Liu; Wenbo Liu 002; Yingzhen Yang; Ming Li 026; B. V. K. Vijaya Kumar (AAAI, 2016)

Studying Very Low Resolution Recognition Using Deep Networks. - Zhangyang Wang; Shiyu Chang; Yingzhen Yang; Ding Liu 001; Thomas S. Huang (CVPR, 2016)

D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. - Zhangyang Wang; Ding Liu 001; Shiyu Chang; Qing Ling 001; Yingzhen Yang; Thomas S. Huang (CVPR, 2016)

ℓ ^0 ℓ 0 -Sparse Subspace Clustering. - Yingzhen Yang; Jiashi Feng; Nebojsa Jojic; Jianchao Yang; Thomas S. Huang (ECCV (2), 2016)

Learning A Deep ℓ∞ Encoder for Hashing. - Zhangyang Wang; Yingzhen Yang; Shiyu Chang; Qing Ling 001; Thomas S. Huang (IJCAI, 2016)

Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters. - Zhangyang Wang; Liang Zhang 006; Yingzhen Yang; Jiayu Zhou; Georgios B. Giannakis; Thomas S. Huang (CoRR, 2016)

Large-scale supervised similarity learning in networks. - Shiyu Chang; Guo-Jun Qi; Yingzhen Yang; Charu C. Aggarwal; Jiayu Zhou; Meng Wang 001; Thomas S. Huang (Knowl. Inf. Syst., 2016)

Similarity modeling for machine learning - Yingzhen Yang (2016)

Support Regularized Sparse Coding and Its Fast Encoder. - Yingzhen Yang; Jiahui Yu; Pushmeet Kohli; Jianchao Yang; Thomas S. Huang (ICLR (Poster), 2017)

Neighborhood Regularized l^1-Graph. - Yingzhen Yang; Jiashi Feng; Jiahui Yu; Jianchao Yang; Thomas S. Huang (UAI, 2017)

On the Suboptimality of Proximal Gradient Descent for $ ell^{0}$ Sparse Approximation. - Yingzhen Yang; Jiashi Feng; Nebojsa Jojic; Jianchao Yang; Thomas S. Huang (CoRR, 2017)

Discriminative Similarity for Clustering and Semi-Supervised Learning. - Yingzhen Yang; Feng Liang 002; Nebojsa Jojic; Shuicheng Yan; Jiashi Feng; Thomas S. Huang (CoRR, 2017)

WSNet: Compact and Efficient Networks with Weight Sampling. - Xiaojie Jin; Yingzhen Yang; Ning Xu 001; Jianchao Yang; Jiashi Feng; Shuicheng Yan (CoRR, 2017)

Dimensionality Reduced $ ell^{0}$-Sparse Subspace Clustering. - Yingzhen Yang (AISTATS, 2018)

3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. - Yingzhen Yang; Jianchao Yang; Ning Xu 001; Wei Han 002; Nebojsa Jojic; Thomas S. Huang (ICLR (Workshop), 2018)

WSNet: Compact and Efficient Networks Through Weight Sampling. - Xiaojie Jin; Yingzhen Yang; Ning Xu 001; Jianchao Yang; Nebojsa Jojic; Jiashi Feng; Shuicheng Yan (ICML, 2018)

Learning 3D-FilterMap for Deep Convolutional Neural Networks. - Yingzhen Yang; Jianchao Yang; Ning Xu 001; Wei Han 002 (CoRR, 2018)

Subspace Learning by ℓ0-Induced Sparsity. - Yingzhen Yang; Jiashi Feng; Nebojsa Jojic; Jianchao Yang; Thomas S. Huang (Int. J. Comput. Vis., 2018)

Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems. - Yingzhen Yang; Jiahui Yu (UAI, 2019)

An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity. - Yingzhen Yang; Xingjian Li 002; Jun Huan (CoRR, 2019)

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. - Yingzhen Yang; Nebojsa Jojic; Jun Huan (CoRR, 2019)

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. - Yingzhen Yang; Jiahui Yu; Nebojsa Jojic; Jun Huan; Thomas S. Huang (ICLR, 2020)

FROS: Fast Regularized Optimization by Sketching. - Yingzhen Yang; Ping Li 001 (ISIT, 2021)

Adjoined Networks: A Training Paradigm With Applications to Network Compression. - Utkarsh Nath; Shrinu Kushagra; Yingzhen Yang (AAAI Spring Symposium: MAKE, 2022)

Discriminative Similarity for Data Clustering. - Yingzhen Yang; Ping Li 001 (ICLR, 2022)

Benchmark of DNN Model Search at Deployment Time. - Lixi Zhou; Arindam Jain; Zijie Wang; Amitabh Das; Yingzhen Yang; Jia Zou 001 (SSDBM, 2022)

Noisy L0-sparse subspace clustering on dimensionality reduced data. - Yingzhen Yang; Ping Li 001 (UAI, 2022)

Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning. - Kaize Ding; Yancheng Wang; Yingzhen Yang; Huan Liu 001 (CoRR, 2022)

Adaptive Cross-Layer Attention for Image Restoration. - Yancheng Wang; Ning Xu; Chong Chen; Yingzhen Yang (CoRR, 2022)

Bayesian Robust Graph Contrastive Learning. - Yancheng Wang; Yingzhen Yang (CoRR, 2022)

Noisy 𝓁0-Sparse Subspace Clustering on Dimensionality Reduced Data. - Yingzhen Yang; Ping Li 001 (CoRR, 2022)

Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. - Kaize Ding; Yancheng Wang; Yingzhen Yang; Huan Liu 001 (AAAI, 2023)

Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property. - Yingzhen Yang; Ping Li 001 (ICLR, 2023)

Locally Regularized Sparse Graph by Fast Proximal Gradient Descent. - Dongfang Sun; Yingzhen Yang (UAI, 2023)

RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation. - Utkarsh Nath; Yancheng Wang; Yingzhen Yang (CoRR, 2023)

Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach. - Yingzhen Yang (CoRR, 2023)

Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. - Yingzhen Yang; Ping Li (CoRR, 2023)

IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation. - Lulu Xie; Yancheng Wang; Hong Guan; Soham Nag; Rajeev Goel; Niranjan Erappa Narayana Swamy; Yingzhen Yang; Chaowei Xiao; Jonathan Prisby; Ross Maciejewski; Jia Zou 001 (IEEE Big Data, 2024)

Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach. - Yancheng Wang; Ping Li 001; Yingzhen Yang (ICML, 2024)

RecMind: Large Language Model Powered Agent For Recommendation. - Yancheng Wang; Ziyan Jiang; Zheng Chen 010; Fan Yang; Yingxue Zhou; Eunah Cho; Xing Fan; Yanbin Lu; Xiaojiang Huang; Yingzhen Yang (NAACL-HLT (Findings), 2024)

Learning Low-Rank Feature for Thorax Disease Classification. - Yancheng Wang; Rajeev Goel; Utkarsh Nath; Alvin C. Silva; Teresa Wu; Yingzhen Yang (NeurIPS, 2024)

Neural Architecture Search Finds Robust Models by Knowledge Distillation. - Utkarsh Nath; Yancheng Wang; Yingzhen Yang (UAI, 2024)

A Learning-based Declarative Privacy-Preserving Framework for Federated Data Management. - Hong Guan; Summer Gautier; Deepti Gupta; Rajan Hari Ambrish; Yancheng Wang; Harsha Lakamsani; Dhanush Giriyan; Saajan Maslanka; Chaowei Xiao; Yingzhen Yang; Jia Zou 001 (CoRR, 2024)

Low-Rank Graph Contrastive Learning for Node Classification. - Yancheng Wang; Yingzhen Yang (CoRR, 2024)

Preconditioned Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression. - Yingzhen Yang (CoRR, 2024)

Efficient Visual Transformer by Learnable Token Merging. - Yancheng Wang; Yingzhen Yang (CoRR, 2024)

IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection. - Hong Guan; Yancheng Wang; Lulu Xie; Soham Nag; Rajeev Goel; Niranjan Erappa Narayana Swamy; Yingzhen Yang; Chaowei Xiao; Jonathan Prisby; Ross Maciejewski; Jia Zou 001 (CoRR, 2024)

Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression: A Distribution-Free Analysis. - Yingzhen Yang; Ping Li (CoRR, 2024)

RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation. - Utkarsh Nath; Yancheng Wang; Pavan K. Turaga; Yingzhen Yang (Int. J. Comput. Vis., 2024)

Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. - Yingzhen Yang; Ping Li 001 (ICLR, 2025)

Informative Synthetic Data Generation for Thorax Disease Classification. - Yancheng Wang; Rajeev Goel; Marko Jojic; Alvin C. Silva; Teresa Wu; Yingzhen Yang (UAI, 2025)

Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. - Utkarsh Nath; Rajeev Goel; Eun Som Jeon; Changhoon Kim; Kyle Min 001; Yezhou Yang; Yingzhen Yang; Pavan K. Turaga (WACV, 2025)

Diffusion on Graph: Augmentation of Graph Structure for Node Classification. - Yancheng Wang; Changyu Liu; Yingzhen Yang (Trans. Mach. Learn. Res., 2025)

Differentiable Channel Selection in Self-Attention For Person Re-Identification. - Yancheng Wang; Nebojsa Jojic; Yingzhen Yang (CoRR, 2025)

Compact Vision Transformer by Reduction of Kernel Complexity. - Yancheng Wang; Yingzhen Yang (CoRR, 2025)

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens. - Chengshuai Zhao; Zhen Tan 001; Pingchuan Ma 012; Dawei Li 008; Bohan Jiang; Yancheng Wang; Yingzhen Yang; Huan Liu 001 (CoRR, 2025)