Yingyu Liang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 114

Top Venues

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond. CoRR (2024)
Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. ICLR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
Differential Privacy of Cross-Attention with Provable Guarantee. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang
Toward Infinite-Long Prefix in Transformer. CoRR (2024)
Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. CoRR (2024)
Zhuoyan Xu, Zhenmei Shi, Yingyu Liang
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective. CoRR (2024)
Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou
Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
Differential Privacy Mechanisms in Neural Tangent Kernel Regression. CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. CoRR (2024)
Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang
Why Larger Language Models Do In-context Learning Differently? CoRR (2024)
Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou
Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers. CoRR (2024)
Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang
Domain Generalization via Nuclear Norm Regularization. CoRR (2023)
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. ICLR (2023)
Zhenmei Shi, Junyi Wei, Yingyu Liang
Provable Guarantees for Neural Networks via Gradient Feature Learning. CoRR (2023)
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. ICML (2023)
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
Stratified Adversarial Robustness with Rejection. CoRR (2023)
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. CoRR (2023)
Zhenmei Shi, Junyi Wei, Yingyu Liang
Provable Guarantees for Neural Networks via Gradient Feature Learning. NeurIPS (2023)
Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee
What Knowledge Gets Distilled in Knowledge Distillation? NeurIPS (2023)
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. CoRR (2023)
Yingyu Liang, Yi Ren, Zhi Zhang
Pilot Protection Based on Two-Dimensional Space Projection of Dual Differential Currents for Lines Connecting MMC-HVDC Stations. IEEE Trans. Ind. Electron. 70 (5) (2023)
Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha
Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection. CoRR (2023)
Yingyu Liang, Yi Ren, Weixuan He
An Enhanced Current Differential Protection for AC Transmission Lines Connecting MMC-HVDC Stations. IEEE Syst. J. 17 (1) (2023)
Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
Stratified Adversarial Robustness with Rejection. ICML (2023)
Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
Deep Online Fused Video Stabilization. WACV (2022)
Zhenmei Shi, Junyi Wei, Yingyu Liang
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. ICLR (2022)
Xiaomin Zhang, Xucheng Zhang, Po-Ling Loh, Yingyu Liang
On the identifiability of mixtures of ranking models. CoRR (2022)
Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang
Attentive Walk-Aggregating Graph Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
Xiuhua Hu, Yingyu Liang, Yan Hui, Xi Wu, Huan Liu, Xuyang Hu
Person Re-Identification Method Based on the Construction of Graph Convolutional Network with Attribute Feature. Int. J. Pattern Recognit. Artif. Intell. 36 (12) (2022)
Zhenmei Shi, Junyi Wei, Yingyu Liang
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. CoRR (2022)
Yan Hui, Yingyu Liang, Xiuhua Hu, Xi Wu, Huan Liu
Person Re-Identification Combined with Style Transfer and Pose Generation. Int. J. Pattern Recognit. Artif. Intell. 36 (2) (2022)
Xiuhua Hu, Huan Liu, Yuan Chen, Yan Hui, Yingyu Liang, Xi Wu
Siamese Network Object Tracking Algorithm Combining Attention Mechanism and Correlation Filter Theory. Int. J. Pattern Recognit. Artif. Intell. 36 (1) (2022)
Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. ICLR (2022)
Yingyu Liang, Wulin Li, Wenting Zha
Adaptive Mho Characteristic-Based Distance Protection for Lines Emanating From Photovoltaic Power Plants Under Unbalanced Faults. IEEE Syst. J. 15 (3) (2021)
Xiuhua Hu, Yuan Chen, Yan Hui, Yingyu Liang, Guiping Li, Changyuan Wang
Multi-Scale Anti-Occlusion Correlation Filters Object Tracking Method Based on Complementary Features. Int. J. Pattern Recognit. Artif. Intell. 35 (2) (2021)
Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. CoRR (2021)
Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. CoRR (2021)
Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha
Towards Adversarial Robustness via Transductive Learning. CoRR (2021)
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining. ECML/PKDD (3) (2021)
Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. NeurIPS (2021)
Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang
Deep Online Fused Video Stabilization. CoRR (2021)
Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Yingyu Liang
An Analysis of Attentive Walk-Aggregating Graph Neural Networks. CoRR (2021)
Zhongkai Sun, Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares
A New View of Multi-modal Language Analysis: Audio and Video Features as Text "Styles". EACL (2021)
Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer. AACL/IJCNLP (2020)
Hui Yuan, Yingyu Liang
Learning Entangled Single-Sample Distributions via Iterative Trimming. CoRR (2020)
Hui Yuan, Yingyu Liang
Learning Entangled Single-Sample Distributions via Iterative Trimming. AISTATS (2020)
Yingyu Liang, Zhao Song, Mengdi Wang, Lin F. Yang, Xin Yang
Sketching Transformed Matrices with Applications to Natural Language Processing. CoRR (2020)
Yingyu Liang, Hui Yuan
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. COLT (2020)
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
Robust Out-of-distribution Detection in Neural Networks. CoRR (2020)
Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. EMNLP (Findings) (2020)
Yingyu Liang, Hui Yuan
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. CoRR (2020)
Yingyu Liang, Zhao Song, Mengdi Wang, Lin Yang, Xin Yang
Sketching Transformed Matrices with Applications to Natural Language Processing. AISTATS (2020)
Siddhant Garg, Yingyu Liang
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. CoRR (2020)
Fangzhou Mu, Yingyu Liang, Yin Li
Gradients as Features for Deep Representation Learning. CoRR (2020)
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
Robust Out-of-distribution Detection via Informative Outlier Mining. CoRR (2020)
Fangzhou Mu, Yingyu Liang, Yin Li
Gradients as Features for Deep Representation Learning. ICLR (2020)
Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang
Can Adversarial Weight Perturbations Inject Neural Backdoors. CIKM (2020)
Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. CoRR (2020)
Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang
SimpleTran: Transferring Pre-Trained Sentence Embeddings for Low Resource Text Classification. CoRR (2020)
Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang
Can Adversarial Weight Perturbations Inject Neural Backdoors? CoRR (2020)
Siddhant Garg, Yingyu Liang
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. NeurIPS (2020)
Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation. CoRR (2020)
Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. AAAI (2020)
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. NeurIPS (2019)
Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares
Shallow Domain Adaptive Embeddings for Sentiment Analysis. EMNLP/IJCNLP (1) (2019)
Shengchao Liu, Yingyu Liang, Anthony Gitter
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. AAAI (2019)
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
Robust Attribution Regularization. CoRR (2019)
Maria-Florina Balcan, Yingyu Liang, Zhao Song, David P. Woodruff, Hongyang Zhang
Non-Convex Matrix Completion and Related Problems via Strong Duality. J. Mach. Learn. Res. 20 (2019)
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
Robust Attribution Regularization. NeurIPS (2019)
Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares
Shallow Domain Adaptive Embeddings for Sentiment Analysis. CoRR (2019)
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks. EuroS&P (2019)
Shengchao Liu, Mehmet Furkan Demirel, Yingyu Liang
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules. NeurIPS (2019)
Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. CoRR (2019)
Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang
Recovery Guarantees For Quadratic Tensors With Sparse Observations. AISTATS (2019)
Yuanzhi Li, Yingyu Liang
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. CoRR (2018)
Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Christopher Baldassano, Janice Chen, Esther Yong, Christopher J. Honey, Uri Hasson, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora
Mapping between fMRI responses to movies and their natural language annotations. NeuroImage 180 (Part) (2018)
Yuanzhi Li, Yingyu Liang
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. COLT (2018)
Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski
Linear Algebraic Structure of Word Senses, with Applications to Polysemy. Trans. Assoc. Comput. Linguistics 6 (2018)
Shengchao Liu, Thevaa Chandereng, Yingyu Liang
N-Gram Graph, A Novel Molecule Representation. CoRR (2018)
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. CoRR (2018)
Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. ACL (1) (2018)
Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares
Domain Adapted Word Embeddings for Improved Sentiment Classification. ACL (2) (2018)
Yuanzhi Li, Yingyu Liang
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. NeurIPS (2018)
Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares
Domain Adapted Word Embeddings for Improved Sentiment Classification. CoRR (2018)
Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang
Matrix Completion and Related Problems via Strong Duality. ITCS (2018)
Jinman Zhao, Sidharth Mudgal, Yingyu Liang
Generalizing Word Embeddings using Bag of Subwords. CoRR (2018)
Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. CoRR (2018)
Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang
Recovery Guarantees for Quadratic Tensors with Limited Observations. CoRR (2018)
Jinman Zhao, Sidharth Mudgal, Yingyu Liang
Generalizing Word Embeddings using Bag of Subwords. EMNLP (2018)
Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha
Improving Adversarial Robustness by Data-Specific Discretization. CoRR (2018)
Yuanzhi Li, Yingyu Liang
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. CoRR (2018)
Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares
Domain Adapted Word Embeddings for Improved Sentiment Classification. DeepLo@ACL (2018)
Bo Xie, Yingyu Liang, Le Song
Diverse Neural Network Learns True Target Functions. AISTATS (2017)
Sanjeev Arora, Yingyu Liang, Tengyu Ma
A Simple but Tough-to-Beat Baseline for Sentence Embeddings. ICLR (Poster) (2017)
Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang
Generalization and Equilibrium in Generative Adversarial Nets (GANs). ICML (2017)
Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang
Generalization and Equilibrium in Generative Adversarial Nets (GANs). CoRR (2017)
Yuanzhi Li, Yingyu Liang
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. ICML (2017)
Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. 18 (2017)
Yuanzhi Li, Yingyu Liang
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yingyu Liang