Yingzhen Yang - RankMe

98 papers A* 19A 9B 3C 1Misc 3Journal 50Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gradient Descent with Projection Finds Over-Parameterized Neural Networks for Learning Low-Degree Polynomials with Nearly Minimax Optimal Rate. CoRR Yingzhen Yang, Ping Li
2026	J	`jnl`	VowelPrompt: Hearing Speech Emotions from Text via Vowel-level Prosodic Augmentation. CoRR Yancheng Wang, Osama Hanna, Ruiming Xie, Xianfeng Rui, Maohao Shen, Xuedong Zhang, Christian Fuegen, Jilong Wu, Debjyoti Paul, Arthur Guo, Zhihong Lei, Ozlem Kalinli, Qing He, Yingzhen Yang
2025	A*	`conf`	A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning. ICML Yingzhen Yang
2025	J	`jnl`	Compact Vision Transformer by Reduction of Kernel Complexity. CoRR Yancheng Wang, Yingzhen Yang
2025	—	`conf`	Declarative Privacy-Preserving Inference Queries. DASFAA (6) Hong Guan, Ansh Tiwari, Summer Gautier, Rajan Hari Ambrish, Lixi Zhou, Yancheng Wang, Deepti Gupta, Yingzhen Yang, Chaowei Xiao, Kanchan Chowdhury, Jia Zou
2025	A	`conf`	Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. WACV Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga
2025	J	`jnl`	Differentiable Channel Selection in Self-Attention For Person Re-Identification. CoRR Yancheng Wang, Nebojsa Jojic, Yingzhen Yang
2025	J	`jnl`	Diffusion on Graph: Augmentation of Graph Structure for Node Classification. CoRR Yancheng Wang, Changyu Liu, Yingzhen Yang
2025	J	`jnl`	Diffusion on Graph: Augmentation of Graph Structure for Node Classification. Trans. Mach. Learn. Res. Yancheng Wang, Changyu Liu, Yingzhen Yang
2025	J	`jnl`	Efficient Visual Transformer by Learnable Token Merging. IEEE Trans. Pattern Anal. Mach. Intell. Yancheng Wang, Yingzhen Yang
2025	A	`conf`	Informative Synthetic Data Generation for Thorax Disease Classification. UAI Yancheng Wang, Rajeev Goel, Marko Jojic, Alvin C. Silva, Teresa Wu, Yingzhen Yang
2025	J	`jnl`	Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens. CoRR Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu
2025	J	`jnl`	Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Learnable Channel Attention. CoRR Yingzhen Yang
2025	A*	`conf`	Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate. ICML Yingzhen Yang
2025	A*	`conf`	Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. ICLR Yingzhen Yang, Ping Li
2024	J	`jnl`	A Learning-based Declarative Privacy-Preserving Framework for Federated Data Management. CoRR Hong Guan, Summer Gautier, Deepti Gupta, Rajan Hari Ambrish, Yancheng Wang, Harsha Lakamsani, Dhanush Giriyan, Saajan Maslanka, Chaowei Xiao, Yingzhen Yang, Jia Zou
2024	J	`jnl`	Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. CoRR Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga
2024	J	`jnl`	Efficient Visual Transformer by Learnable Token Merging. CoRR Yancheng Wang, Yingzhen Yang
2024	J	`jnl`	Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression: A Distribution-Free Analysis. CoRR Yingzhen Yang, Ping Li
2024	J	`jnl`	IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection. CoRR Hong Guan, Yancheng Wang, Lulu Xie, Soham Nag, Rajeev Goel, Niranjan Erappa Narayana Swamy, Yingzhen Yang, Chaowei Xiao, Jonathan Prisby, Ross Maciejewski, Jia Zou
2024	B	`conf`	IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation. IEEE Big Data Lulu Xie, Yancheng Wang, Hong Guan, Soham Nag, Rajeev Goel, Niranjan Erappa Narayana Swamy, Yingzhen Yang, Chaowei Xiao, Jonathan Prisby, Ross Maciejewski, Jia Zou
2024	A*	`conf`	Learning Low-Rank Feature for Thorax Disease Classification. NeurIPS Yancheng Wang, Rajeev Goel, Utkarsh Nath, Alvin C. Silva, Teresa Wu, Yingzhen Yang
2024	J	`jnl`	Learning Low-Rank Feature for Thorax Disease Classification. CoRR Rajeev Goel, Utkarsh Nath, Yancheng Wang, Alvin C. Silva, Teresa Wu, Yingzhen Yang
2024	J	`jnl`	Locally Regularized Sparse Graph by Fast Proximal Gradient Descent. CoRR Dongfang Sun, Yingzhen Yang
2024	J	`jnl`	Low-Rank Graph Contrastive Learning for Node Classification. CoRR Yancheng Wang, Yingzhen Yang
2024	A	`conf`	Neural Architecture Search Finds Robust Models by Knowledge Distillation. UAI Utkarsh Nath, Yancheng Wang, Yingzhen Yang
2024	J	`jnl`	Preconditioned Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression. CoRR Yingzhen Yang
2024	J	`jnl`	RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation. Int. J. Comput. Vis. Utkarsh Nath, Yancheng Wang, Pavan K. Turaga, Yingzhen Yang
2024	—	`conf`	RecMind: Large Language Model Powered Agent For Recommendation. NAACL-HLT (Findings) Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Yanbin Lu, Xiaojiang Huang, Yingzhen Yang
2024	A*	`conf`	Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach. ICML Yancheng Wang, Ping Li, Yingzhen Yang
2023	A*	`conf`	Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. AAAI Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
2023	A	`conf`	Locally Regularized Sparse Graph by Fast Proximal Gradient Descent. UAI Dongfang Sun, Yingzhen Yang
2023	A*	`conf`	Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property. ICLR Yingzhen Yang, Ping Li
2023	J	`jnl`	RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation. CoRR Utkarsh Nath, Yancheng Wang, Yingzhen Yang
2023	J	`jnl`	RecMind: Large Language Model Powered Agent For Recommendation. CoRR Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Yingzhen Yang
2023	J	`jnl`	Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach. CoRR Yingzhen Yang
2023	J	`jnl`	Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees. CoRR Yingzhen Yang, Ping Li
2022	J	`jnl`	Adaptive Cross-Layer Attention for Image Restoration. CoRR Yancheng Wang, Ning Xu, Chong Chen, Yingzhen Yang
2022	—	`conf`	Adjoined Networks: A Training Paradigm With Applications to Network Compression. AAAI Spring Symposium: MAKE Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang
2022	J	`jnl`	Bayesian Robust Graph Contrastive Learning. CoRR Yancheng Wang, Yingzhen Yang
2022	B	`conf`	Benchmark of DNN Model Search at Deployment Time. SSDBM Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou
2022	J	`jnl`	Benchmark of DNN Model Search at Deployment Time. CoRR Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou
2022	A*	`conf`	Discriminative Similarity for Data Clustering. ICLR Yingzhen Yang, Ping Li
2022	A	`conf`	Noisy L0-sparse subspace clustering on dimensionality reduced data. UAI Yingzhen Yang, Ping Li
2022	J	`jnl`	Noisy 𝓁 CoRR Yingzhen Yang, Ping Li
2022	J	`jnl`	Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning. CoRR Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu
2021	J	`jnl`	Discriminative Similarity for Data Clustering. CoRR Yingzhen Yang, Ping Li
2021	B	`conf`	FROS: Fast Regularized Optimization by Sketching. ISIT Yingzhen Yang, Ping Li
2020	A*	`conf`	FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. ICLR Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
2019	J	`jnl`	An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity. CoRR Yingzhen Yang, Xingjian Li, Jun Huan
2019	J	`jnl`	FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. CoRR Yingzhen Yang, Nebojsa Jojic, Jun Huan
2019	A	`conf`	Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems. UAI Yingzhen Yang, Jiahui Yu
2018	—	`conf`	3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. ICLR (Workshop) Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang
2018	A	`conf`	Dimensionality Reduced $\ell^{0}$-Sparse Subspace Clustering. AISTATS Yingzhen Yang
2018	J	`jnl`	Learning 3D-FilterMap for Deep Convolutional Neural Networks. CoRR Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han
2018	J	`jnl`	Subspace Learning by ℓ Int. J. Comput. Vis. Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
2018	A*	`conf`	WSNet: Compact and Efficient Networks Through Weight Sampling. ICML Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan
2017	J	`jnl`	Discriminative Similarity for Clustering and Semi-Supervised Learning. CoRR Yingzhen Yang, Feng Liang, Nebojsa Jojic, Shuicheng Yan, Jiashi Feng, Thomas S. Huang
2017	A	`conf`	Neighborhood Regularized l^1-Graph. UAI Yingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang
2017	J	`jnl`	On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation. CoRR Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
2017	—	`conf`	Support Regularized Sparse Coding and Its Fast Encoder. ICLR (Poster) Yingzhen Yang, Jiahui Yu, Pushmeet Kohli, Jianchao Yang, Thomas S. Huang
2017	J	`jnl`	WSNet: Compact and Efficient Networks with Weight Sampling. CoRR Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Jiashi Feng, Shuicheng Yan
2016	A*	`conf`	D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CVPR Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang
2016	J	`jnl`	Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters. CoRR Zhangyang Wang, Liang Zhang, Yingzhen Yang, Jiayu Zhou, Georgios B. Giannakis, Thomas S. Huang
2016	A*	`conf`	Epitomic Image Super-Resolution. AAAI Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang
2016	J	`jnl`	Large-scale supervised similarity learning in networks. Knowl. Inf. Syst. Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang
2016	A*	`conf`	Learning A Deep ℓ IJCAI Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang
2016	J	`jnl`	Learning A Deep ℓ CoRR Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang
2016	A*	`conf`	On Order-Constrained Transitive Distance Clustering. AAAI Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar
2016	—	`—`	Similarity modeling for machine learning Yingzhen Yang
2016	A*	`conf`	Studying Very Low Resolution Recognition Using Deep Networks. CVPR Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang
2016	J	`jnl`	Studying Very Low Resolution Recognition Using Deep Networks. CoRR Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang
2016	—	`conf`	ℓ ^0 ℓ 0 -Sparse Subspace Clustering. ECCV (2) Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang
2015	A*	`conf`	A Joint Optimization Framework of Sparse Coding and Discriminative Clustering. IJCAI Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang
2015	J	`jnl`	Designing A Composite Dictionary Adaptively From Joint Examples. CoRR Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang
2015	C	`conf`	Designing a composite dictionary adaptively from joint examples. VCIP Zhangyang Wang, Yingzhen Yang, Jianchao Yang, Thomas S. Huang
2015	J	`jnl`	Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. CoRR Weiyang Liu, Zhiding Yu, Yingzhen Yang, Meng Yang
2015	J	`jnl`	Learning Super-Resolution Jointly From External and Internal Examples. IEEE Trans. Image Process. Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang
2015	J	`jnl`	Learning Super-Resolution Jointly from External and Internal Examples. CoRR Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang
2015	J	`jnl`	Learning ℓ CoRR Yingzhen Yang, Jiashi Feng, Jianchao Yang, Thomas S. Huang
2015	J	`jnl`	Self-Tuned Deep Super Resolution. CoRR Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
2015	—	`conf`	Self-tuned deep super resolution. CVPR Workshops Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
2015	—	`book`	Sparse Coding and its Applications in Computer Vision Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Ding Liu, Thomas S. Huang
2014	A*	`conf`	Data Clustering by Laplacian Regularized L1-Graph. AAAI Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang
2014	Misc	`conf`	Discriminative Exemplar clustering. ICASSP Yingzhen Yang, Feng Liang, Thomas S. Huang
2014	Misc	`conf`	Epitomic image colorization. ICASSP Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng, Alex Yong Sang Chia, Jianchao Yang, Hailin Jin, Thomas S. Huang
2014	—	`conf`	On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification. NIPS Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, Thomas S. Huang
2014	A	`conf`	Regularized l1-Graph for Data Clustering. BMVC Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiawei Han, Thomas S. Huang
2013	—	`conf`	Pairwise Clustering by Minimizing the Error of Unsupervised Nearest Neighbor Classification. ICMLA (2) Yingzhen Yang, Xinqi Chu, Thomas S. Huang
2012	J	`jnl`	Epitome for Automatic Image Colorization CoRR Yingzhen Yang, Xinqi Chu, Tian-Tsong Ng, Alex Yong Sang Chia, Shuicheng Yan, Thomas S. Huang
2012	J	`jnl`	Generalization Analysis for Classification CoRR Yingzhen Yang, Xinqi Chu, Thomas S. Huang
2012	A*	`conf`	Pairwise Exemplar Clustering. AAAI Yingzhen Yang, Xinqi Chu, Feng Liang, Thomas S. Huang
2010	Misc	`conf`	Pattern mining from saccadic motion data. ICCS Peter Liang, Yingzhen Yang, Yang Cai
2010	—	`conf`	Virtual gazing in video surveillance. SMVC@MM Yingzhen Yang, Yang Cai
2009	J	`jnl`	An improved belief propagation method for dynamic collage. Vis. Comput. Yingzhen Yang, Yichen Wei, Chunxiao Liu, Qunsheng Peng, Yasuyuki Matsushita
2009	—	`conf`	Entertaining video warping. CAD/Graphics Yingzhen Yang, Yin Zhu, Chunxiao Liu, Chengfang Song, Qunsheng Peng
2009	A*	`conf`	Image completion using structural priority belief propagation. ACM Multimedia Yingzhen Yang, Yin Zhu, Qunsheng Peng
2008	J	`jnl`	Distortion Optimization based Image Completion from a Large Displacement View. Comput. Graph. Forum Chunxiao Liu, Yingzhen Yang, Qunsheng Peng, Jin Wang, Wei Chen