Yingzhen Yang

According to our database, Yingzhen Yang authored at least 70 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2024

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 K. Turaga

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

CoRR, 2024

Efficient Visual Transformer by Learnable Token Merging.

Yancheng Wang, Yingzhen Yang

CoRR, 2024

Preconditioned Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression.

Yingzhen Yang

CoRR, 2024

Learning Low-Rank Feature for Thorax Disease Classification.

Rajeev Goel, Utkarsh Nath, Yancheng Wang, Alvin C. Silva, Teresa Wu, Yingzhen Yang

CoRR, 2024

Low-Rank Graph Contrastive Learning for Node Classification.

Yancheng Wang, Yingzhen Yang

CoRR, 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

CoRR, 2024

RecMind: Large Language Model Powered Agent For Recommendation.

Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Yanbin Lu, Xiaojiang Huang, Yingzhen Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach.

Yancheng Wang, Ping Li, Yingzhen Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees.

Yingzhen Yang, Ping Li

CoRR, 2023

Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach.

Yingzhen Yang

CoRR, 2023

RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation.

Utkarsh Nath, Yancheng Wang, Yingzhen Yang

CoRR, 2023

Locally Regularized Sparse Graph by Fast Proximal Gradient Descent.

Dongfang Sun, Yingzhen Yang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property.

Yingzhen Yang, Ping Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning.

Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Noisy 𝓁⁰-Sparse Subspace Clustering on Dimensionality Reduced Data.

Yingzhen Yang, Ping Li

CoRR, 2022

Bayesian Robust Graph Contrastive Learning.

Yancheng Wang, Yingzhen Yang

CoRR, 2022

Adaptive Cross-Layer Attention for Image Restoration.

Yancheng Wang, Ning Xu, Chong Chen, Yingzhen Yang

CoRR, 2022

Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning.

Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu

CoRR, 2022

Noisy L0-sparse subspace clustering on dimensionality reduced data.

Yingzhen Yang, Ping Li

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Benchmark of DNN Model Search at Deployment Time.

Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou

Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

Discriminative Similarity for Data Clustering.

Yingzhen Yang, Ping Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adjoined Networks: A Training Paradigm With Applications to Network Compression.

Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

2021

FROS: Fast Regularized Optimization by Sketching.

Yingzhen Yang, Ping Li

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary.

Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary.

Yingzhen Yang, Nebojsa Jojic, Jun Huan

CoRR, 2019

An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity.

Yingzhen Yang, Xingjian Li, Jun Huan

CoRR, 2019

Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems.

Yingzhen Yang, Jiahui Yu

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Subspace Learning by ℓ⁰-Induced Sparsity.

Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang

Int. J. Comput. Vis., 2018

Learning 3D-FilterMap for Deep Convolutional Neural Networks.

Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han

CoRR, 2018

WSNet: Compact and Efficient Networks Through Weight Sampling.

Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan

Proceedings of the 35th International Conference on Machine Learning, 2018

3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks.

Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang

Proceedings of the 6th International Conference on Learning Representations, 2018

Dimensionality Reduced $\ell^{0}$-Sparse Subspace Clustering.

Yingzhen Yang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

WSNet: Compact and Efficient Networks with Weight Sampling.

Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Jiashi Feng, Shuicheng Yan

CoRR, 2017

Discriminative Similarity for Clustering and Semi-Supervised Learning.

Yingzhen Yang, Feng Liang, Nebojsa Jojic, Shuicheng Yan, Jiashi Feng, Thomas S. Huang

CoRR, 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

Neighborhood Regularized l^1-Graph.

Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Support Regularized Sparse Coding and Its Fast Encoder.

Yingzhen Yang, Jiahui Yu, Pushmeet Kohli, Jianchao Yang, Thomas S. Huang

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Similarity modeling for machine learning

Yingzhen Yang

PhD thesis, 2016

Large-scale supervised similarity learning in networks.

Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang

Knowl. Inf. Syst., 2016

Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters.

Zhangyang Wang, Liang Zhang, Yingzhen Yang, Jiayu Zhou, Georgios B. Giannakis, Thomas S. Huang

CoRR, 2016

Learning A Deep ℓ_∞ Encoder for Hashing.

Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

ℓ ^0 ℓ 0 -Sparse Subspace Clustering.

Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang

Proceedings of the Computer Vision - ECCV 2016, 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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Studying Very Low Resolution Recognition Using Deep Networks.

Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

On Order-Constrained Transitive Distance Clustering.

Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Epitomic Image Super-Resolution.

Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

Learning ℓ⁰-Graph for Data Clustering.

Yingzhen Yang, Jiashi Feng, Jianchao Yang, Thomas S. Huang

CoRR, 2015

Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification.

Weiyang Liu, Zhiding Yu, Yingzhen Yang, Meng Yang

CoRR, 2015

Designing a composite dictionary adaptively from joint examples.

Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang

Proceedings of the 2015 Visual Communications and Image Processing, 2015

A Joint Optimization Framework of Sparse Coding and Discriminative Clustering.

Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Self-tuned deep super resolution.

Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Sparse Coding and its Applications in Computer Vision

Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Ding Liu, Thomas S. Huang

WorldScientific, ISBN: 9789814725064, 2015

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

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Discriminative Exemplar clustering.

Yingzhen Yang, Feng Liang, Thomas S. Huang

Proceedings of the IEEE International Conference on Acoustics, 2014

Epitomic image colorization.

Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng, Alex Yong Sang Chia, Jianchao Yang, Hailin Jin, Thomas S. Huang

Proceedings of the IEEE International Conference on Acoustics, 2014

Regularized l1-Graph for Data Clustering.

Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiawei Han, Thomas S. Huang

Proceedings of the British Machine Vision Conference, 2014

Data Clustering by Laplacian Regularized L1-Graph.

Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Pairwise Clustering by Minimizing the Error of Unsupervised Nearest Neighbor Classification.

Yingzhen Yang, Xinqi Chu, Thomas S. Huang

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012

Epitome for Automatic Image Colorization

Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng, Alex Yong Sang Chia, Shuicheng Yan, Thomas S. Huang

CoRR, 2012

Generalization Analysis for Classification

Yingzhen Yang, Xinqi Chu, Thomas S. Huang

CoRR, 2012

Pairwise Exemplar Clustering.

Yingzhen Yang, Xinqi Chu, Feng Liang, Thomas S. Huang

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010

Pattern mining from saccadic motion data.

Peter Liang, Yingzhen Yang, Yang Cai

Proceedings of the International Conference on Computational Science, 2010

Virtual gazing in video surveillance.

Yingzhen Yang, Yang Cai

Proceedings of the 2010 ACM Workshop on Surreal Media and Virtual Cloning, 2010

2009

An improved belief propagation method for dynamic collage.

Yingzhen Yang, Yichen Wei, Chunxiao Liu, Qunsheng Peng, Yasuyuki Matsushita

Vis. Comput., 2009

Image completion using structural priority belief propagation.

Yingzhen Yang, Yin Zhu, Qunsheng Peng

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Entertaining video warping.

Yingzhen Yang, Yin Zhu, Chunxiao Liu, Chengfang Song, Qunsheng Peng

Proceedings of the 11th International Conference on Computer-Aided Design and Computer Graphics, 2009

2008

Distortion Optimization based Image Completion from a Large Displacement View.

Chunxiao Liu, Yingzhen Yang, Qunsheng Peng, Jin Wang, Wei Chen

Comput. Graph. Forum, 2008