Yingzhen Yang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 47

Top Topics

Regularized Least Squares

Data Clustering

Top Venues

Publications

Yancheng Wang, Yingzhen Yang
Efficient Visual Transformer by Learnable Token Merging. CoRR (2024)
Yancheng Wang, Yingzhen Yang
Low-Rank Graph Contrastive Learning for Node Classification. CoRR (2024)
Hong Guan, Summer Gautier, Deepti Gupta, Rajan Hari Ambrish, Yancheng Wang, Harsha Lakamsani, Dhanush Giriyan, Saajan Maslanka, Chaowei Xiao, Yingzhen Yang, Jia Zou
A Learning-based Declarative Privacy-Preserving Framework for Federated Data Management. CoRR (2024)
Yingzhen Yang
Preconditioned Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression. CoRR (2024)
Rajeev Goel, Utkarsh Nath, Yancheng Wang, Alvin C. Silva, Teresa Wu, Yingzhen Yang
Learning Low-Rank Feature for Thorax Disease Classification. CoRR (2024)
Yingzhen Yang
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach. CoRR (2023)
Yingzhen Yang, Ping Li
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property. ICLR (2023)
Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Yingzhen Yang
RecMind: Large Language Model Powered Agent For Recommendation. CoRR (2023)
Yingzhen Yang, Ping Li
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. CoRR (2023)
Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. AAAI (2023)
Utkarsh Nath, Yancheng Wang, Yingzhen Yang
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation. CoRR (2023)
Dongfang Sun, Yingzhen Yang
Locally Regularized Sparse Graph by Fast Proximal Gradient Descent. UAI (2023)
Yancheng Wang, Ning Xu, Chong Chen, Yingzhen Yang
Adaptive Cross-Layer Attention for Image Restoration. CoRR (2022)
Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou
Benchmark of DNN Model Search at Deployment Time. CoRR (2022)
Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou
Benchmark of DNN Model Search at Deployment Time. SSDBM (2022)
Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning. CoRR (2022)
Yancheng Wang, Yingzhen Yang
Bayesian Robust Graph Contrastive Learning. CoRR (2022)
Yingzhen Yang, Ping Li
Discriminative Similarity for Data Clustering. ICLR (2022)
Yingzhen Yang, Ping Li
Noisy L0-sparse subspace clustering on dimensionality reduced data. UAI (2022)
Yingzhen Yang, Ping Li
-Sparse Subspace Clustering on Dimensionality Reduced Data. CoRR (2022)
Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang
Adjoined Networks: A Training Paradigm With Applications to Network Compression. AAAI Spring Symposium: MAKE (2022)
Yingzhen Yang, Ping Li
Discriminative Similarity for Data Clustering. CoRR (2021)
Yingzhen Yang, Ping Li
FROS: Fast Regularized Optimization by Sketching. ISIT (2021)
Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. ICLR (2020)
Yingzhen Yang, Nebojsa Jojic, Jun Huan
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. CoRR (2019)
Yingzhen Yang, Jiahui Yu
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems. UAI (2019)
Yingzhen Yang, Xingjian Li, Jun Huan
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity. CoRR (2019)
Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan
WSNet: Compact and Efficient Networks Through Weight Sampling. ICML (2018)
Yingzhen Yang
Dimensionality Reduced $\ell^{0}$-Sparse Subspace Clustering. AISTATS (2018)
Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang
3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. ICLR (Workshop) (2018)
Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han
Learning 3D-FilterMap for Deep Convolutional Neural Networks. CoRR (2018)
Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
-Induced Sparsity. Int. J. Comput. Vis. 126 (10) (2018)
Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation. CoRR (2017)
Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang
Neighborhood Regularized l^1-Graph. UAI (2017)
Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Jiashi Feng, Shuicheng Yan
WSNet: Compact and Efficient Networks with Weight Sampling. CoRR (2017)
Yingzhen Yang, Feng Liang, Nebojsa Jojic, Shuicheng Yan, Jiashi Feng, Thomas S. Huang
Discriminative Similarity for Clustering and Semi-Supervised Learning. CoRR (2017)
Yingzhen Yang, Jiahui Yu, Pushmeet Kohli, Jianchao Yang, Thomas S. Huang
Support Regularized Sparse Coding and Its Fast Encoder. ICLR (Poster) (2017)
Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang
Large-scale supervised similarity learning in networks. Knowl. Inf. Syst. 48 (3) (2016)
Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CVPR (2016)
Zhangyang Wang, Liang Zhang, Yingzhen Yang, Jiayu Zhou, Georgios B. Giannakis, Thomas S. Huang
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters. CoRR (2016)
Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang
Encoder for Hashing. IJCAI (2016)
Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
ℓ ^0 ℓ 0 -Sparse Subspace Clustering. ECCV (2) (2016)
Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang
Studying Very Low Resolution Recognition Using Deep Networks. CoRR (2016)
Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang
Studying Very Low Resolution Recognition Using Deep Networks. CVPR (2016)
Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang
Epitomic Image Super-Resolution. AAAI (2016)
Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang
Encoder for Hashing. CoRR (2016)
Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar
On Order-Constrained Transitive Distance Clustering. AAAI (2016)
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang
Learning Super-Resolution Jointly from External and Internal Examples. CoRR (2015)
Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang
Designing A Composite Dictionary Adaptively From Joint Examples. CoRR (2015)
Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang
A Joint Optimization Framework of Sparse Coding and Discriminative Clustering. IJCAI (2015)
Weiyang Liu, Zhiding Yu, Yingzhen Yang, Meng Yang
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. CoRR (2015)
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
Self-tuned deep super resolution. CVPR Workshops (2015)
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang
Learning Super-Resolution Jointly From External and Internal Examples. IEEE Trans. Image Process. 24 (11) (2015)
Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang
Designing a composite dictionary adaptively from joint examples. VCIP (2015)
Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
Self-Tuned Deep Super Resolution. CoRR (2015)
Yingzhen Yang, Jiashi Feng, Jianchao Yang, Thomas S. Huang
-Graph for Data Clustering. CoRR (2015)
Yingzhen Yang, Feng Liang, Thomas S. Huang
Discriminative Exemplar clustering. ICASSP (2014)
Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng, Alex Yong Sang Chia, Jianchao Yang, Hailin Jin, Thomas S. Huang
Epitomic image colorization. ICASSP (2014)
Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiawei Han, Thomas S. Huang
Regularized l1-Graph for Data Clustering. BMVC (2014)
Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, Thomas S. Huang
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification. NIPS (2014)
Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang
Data Clustering by Laplacian Regularized L1-Graph. AAAI (2014)
Yingzhen Yang, Xinqi Chu, Thomas S. Huang
Pairwise Clustering by Minimizing the Error of Unsupervised Nearest Neighbor Classification. ICMLA (2) (2013)
Yingzhen Yang, Xinqi Chu, Thomas S. Huang
Generalization Analysis for Classification CoRR (2012)
Yingzhen Yang, Xinqi Chu, Feng Liang, Thomas S. Huang
Pairwise Exemplar Clustering. AAAI (2012)
Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng, Alex Yong Sang Chia, Shuicheng Yan, Thomas S. Huang
Epitome for Automatic Image Colorization CoRR (2012)
Peter Liang, Yingzhen Yang, Yang Cai
Pattern mining from saccadic motion data. ICCS (1) (2010)
Yingzhen Yang, Yang Cai
Virtual gazing in video surveillance. SMVC@MM (2010)
Yingzhen Yang, Yichen Wei, Chunxiao Liu, Qunsheng Peng, Yasuyuki Matsushita
An improved belief propagation method for dynamic collage. Vis. Comput. 25 (5-7) (2009)
Yingzhen Yang, Yin Zhu, Qunsheng Peng
Image completion using structural priority belief propagation. ACM Multimedia (2009)
Yingzhen Yang, Yin Zhu, Chunxiao Liu, Chengfang Song, Qunsheng Peng
Entertaining video warping. CAD/Graphics (2009)
Chunxiao Liu, Yingzhen Yang, Qunsheng Peng, Jin Wang, Wei Chen
Distortion Optimization based Image Completion from a Large Displacement View. Comput. Graph. Forum 27 (7) (2008)