Ying-Yu Liang

Most-cited papers

A Simple but Tough-to-Beat Baseline for Sentence Embeddings
Sanjeev Arora, Ying-Yu Liang, Tengyu Ma
2017International Conference on Learning Representations1,442 citations
Semantic Scholar
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu, Yuanzhi Li, Ying-Yu Liang
2018Neural Information Processing Systems841 citations
Semantic Scholar
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora, Rong Ge, Ying-Yu Liang, Tengyu Ma +1 more
2017International Conference on Machine Learning730 citations
Semantic Scholar
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Yuanzhi Li, Ying-Yu Liang
2018Neural Information Processing Systems693 citations
Semantic Scholar
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis
Zhongkai Sun, P. Sarma, W. Sethares, Ying-Yu Liang
2019AAAI Conference on Artificial Intelligence449 citations Open access
Semantic Scholar
A Latent Variable Model Approach to PMI-based Word Embeddings
Sanjeev Arora, Yuanzhi Li, Ying-Yu Liang, Tengyu Ma +1 more
2015Transactions of the Association for Computational Linguistics409 citations Open access
Semantic Scholar
Linear Algebraic Structure of Word Senses, with Applications to Polysemy
Sanjeev Arora, Yuanzhi Li, Ying-Yu Liang, Tengyu Ma +1 more
2016Transactions of the Association for Computational Linguistics360 citations Open access
Semantic Scholar
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Sheng-Chao Liu, M. F. Demirel, Ying-Yu Liang
2018Neural Information Processing Systems243 citations
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Scalable Kernel Methods via Doubly Stochastic Gradients
Bo Dai, Bo Xie, Niao He, Ying-Yu Liang +3 more
2014Neural Information Processing Systems238 citations
Semantic Scholar
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
Sheng-Chao Liu, Ying-Yu Liang, A. Gitter
2019AAAI Conference on Artificial Intelligence191 citations Open access
Semantic Scholar
ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
2020ECML/PKDD180 citations Open access
Semantic Scholar
Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials
Min-Yi Dai, M. F. Demirel, Ying-Yu Liang, Jia-Mian Hu
2020npj Computational Materials174 citations Open access
Semantic Scholar
Improved Distributed Principal Component Analysis
Ying-Yu Liang, Maria-Florina Balcan, Vandana Kanchanapally, David P. Woodruff
2014Neural Information Processing Systems160 citations
Semantic Scholar
Diverse Neural Network Learns True Target Functions
Bo Xie, Ying-Yu Liang, Le Song
2016International Conference on Artificial Intelligence and Statistics148 citations
Semantic Scholar
Distributed k-Means and k-Median Clustering on General Topologies
Maria-Florina Balcan, Steven Ehrlich, Ying-Yu Liang
2013Neural Information Processing Systems133 citations
Semantic Scholar
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
M. Khodak, Nikunj Saunshi, Ying-Yu Liang, Tengyu Ma +2 more
2018Annual Meeting of the Association for Computational Linguistics112 citations Open access
Semantic Scholar
Can Adversarial Weight Perturbations Inject Neural Backdoors
Siddhant Garg, Adarsh Kumar, Vibhor Goel, Ying-Yu Liang
2020International Conference on Information and Knowledge Management104 citations Open access
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Robust Out-of-distribution Detection for Neural Networks
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
2020101 citations
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Robust Attribution Regularization
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Ying-Yu Liang +1 more
2019Neural Information Processing Systems98 citations
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Differentially Private Clustering in High-Dimensional Euclidean Spaces
Maria-Florina Balcan, Travis Dick, Ying-Yu Liang, Wen-Long Mou +1 more
2017International Conference on Machine Learning96 citations
Semantic Scholar
Influence Function Learning in Information Diffusion Networks
Nan Du, Ying-Yu Liang, Maria-Florina Balcan, Le Song
2014International Conference on Machine Learning87 citations
Semantic Scholar
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu +2 more
2021Neural Information Processing Systems81 citations
Semantic Scholar
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity
Yuanzhi Li, Ying-Yu Liang
2018Annual Conference Computational Learning Theory81 citations
Semantic Scholar
Mapping Between fMRI Responses to Movies and their Natural Language Annotations
Kiran Vodrahalli, Po-Hsuan Chen, Ying-Yu Liang, Christopher A. Baldassano +7 more
2016NeuroImage75 citations Open access
Semantic Scholar
Domain Adapted Word Embeddings for Improved Sentiment Classification
Prathusha Kameswara Sarma, Ying-Yu Liang, Bill Sethares
2018Annual Meeting of the Association for Computational Linguistics72 citations Open access
Semantic Scholar
RAND-WALK: A Latent Variable Model Approach to Word Embeddings
Sanjeev Arora, Yuanzhi Li, Ying-Yu Liang, Tengyu Ma +1 more
201566 citations
Semantic Scholar
Distributed k-means and k-median clustering on general communication topologies
Maria-Florina Balcan, Steven Ehrlich, Ying-Yu Liang
2013Neural Information Processing Systems64 citations
Semantic Scholar
What Knowledge Gets Distilled in Knowledge Distillation?
Utkarsh Ojha, Yu-Heng Li, A. Rajan, Ying-Yu Liang +1 more
2022Neural Information Processing Systems62 citations Open access
Semantic Scholar
Random Walks on Context Spaces: Towards an Explanation of the Mysteries of Semantic Word Embeddings
Sanjeev Arora, Yuanzhi Li, Ying-Yu Liang, Tengyu Ma +1 more
2015arXiv.org59 citations
Semantic Scholar
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features
Zhenmei Shi, Junyi Wei, Ying-Yu Liang
2022International Conference on Learning Representations58 citations Open access
Semantic Scholar
Why are deep nets reversible: A simple theory, with implications for training
Sanjeev Arora, Ying-Yu Liang, Tengyu Ma
2015arXiv.org55 citations
Semantic Scholar
Recovery guarantee of weighted low-rank approximation via alternating minimization
Yuanzhi Li, Ying-Yu Liang, Andrej Risteski
2016International Conference on Machine Learning53 citations
Semantic Scholar
A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning
A. Bellet, Ying-Yu Liang, A. Garakani, Maria-Florina Balcan +1 more
2014SDM49 citations Open access
Semantic Scholar
Generalizing Word Embeddings using Bag of Subwords
Jinman Zhao, Sidharth Mudgal, Ying-Yu Liang
2018Conference on Empirical Methods in Natural Language Processing48 citations Open access
Semantic Scholar
Gradients as Features for Deep Representation Learning
Fangzhou Mu, Ying-Yu Liang, Yin Li
2020International Conference on Learning Representations47 citations
Semantic Scholar
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie, Ying-Yu Liang, Le Song
2015Neural Information Processing Systems45 citations
Semantic Scholar
Deep Online Fused Video Stabilization
Zhenmei Shi, Fuhao Shi, W. Lai, Chia-Kai Liang +1 more
2021IEEE Workshop/Winter Conference on Applications of Computer Vision44 citations Open access
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Communication Efficient Distributed Kernel Principal Component Analysis
Maria-Florina Balcan, Ying-Yu Liang, Le Song, David P. Woodruff +1 more
2015Knowledge Discovery and Data Mining40 citations Open access
Semantic Scholar
Diversity Leads to Generalization in Neural Networks
Bo Xie, Ying-Yu Liang, Le Song
2016arXiv.org36 citations
Semantic Scholar
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks
Nan Du, Ying-Yu Liang, Maria-Florina Balcan, M. Gomez-Rodriguez +2 more
2016Journal of machine learning research35 citations
Semantic Scholar
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram +3 more
2023International Conference on Learning Representations30 citations Open access
Semantic Scholar
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates
Yuanzhi Li, Ying-Yu Liang, Andrej Risteski
2016Neural Information Processing Systems30 citations
Semantic Scholar
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis
Yiyou Sun, Zhenmei Shi, Ying-Yu Liang, Yi-Xuan Li
2023International Conference on Machine Learning28 citations Open access
Semantic Scholar
Domain Generalization via Nuclear Norm Regularization
Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala +1 more
2023CPAL28 citations Open access
Semantic Scholar
Functional Regularization for Representation Learning: A Unified Theoretical Perspective
Siddhant Garg, Ying-Yu Liang
2020Neural Information Processing Systems27 citations
Semantic Scholar
Informative Outlier Matters: Robustifying Out-of-distribution Detection Using Outlier Mining
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
202025 citations
Semantic Scholar
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Ying-Yu Liang +1 more
2018European Symposium on Security and Privacy23 citations Open access
Semantic Scholar
Non-Convex Matrix Completion and Related Problems via Strong Duality
Maria-Florina Balcan, Ying-Yu Liang, Zhao Song, David P. Woodruff +1 more
2019Journal of machine learning research22 citations
Semantic Scholar
Scalable inuence maximization for multiple products in continuous-time diffusion networks
Nan Du, Ying-Yu Liang, BalcanMaria-Florina, Gomez-RodriguezManuel +2 more
201722 citations
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Towards Evaluating the Robustness of Neural Networks Learned by Transduction
Jiefeng Chen, Xi Wu, Yang Guo, Ying-Yu Liang +1 more
2021International Conference on Learning Representations20 citations
Semantic Scholar