Yingyu Liang - Concepedia

Author

Yingyu Liang

Princeton University ORCID

Also Known As

Ke, Yekun, Li, Yuanpeng, Liang, YIngyu, Liang, Yingyu, Shi, Zhenmei, Yingyu Liang, Yingyu Liang

169

Publications

4.9K

Citations

H-Index

133

Concepts

All Affiliations

Princeton University University of Wisconsin–Madison Georgia Institute of Technology Carnegie Mellon University Google (United States)

About

Yingyu Liang is an author at Princeton University specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	27	45	3.9K
2	Language Studies	8	8	1.5K
3	Business	4	4	138
4	Education	1	1	38
5	Management	1	1	10

Yingyu Liang

Publications

4.6K

Citations

H-Index

Page 1

	Year	Citations
A Simple but Tough-to-Beat Baseline for Sentence Embeddings Sanjeev Arora, Yingyu Liang, Tengyu Ma International Conference on Learning Representations EngineeringMachine LearningCross-lingual RepresentationTextual EntailmentMultilingual Pretraining	2017	1.1K
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis Zhongkai Sun, Prathusha K Sarma, William A. Sethares, Proceedings of the AAAI Conference on Artificial Intelligence EngineeringMachine LearningMultimodal LearningMultimedia AnalysisMultimodal Sentiment Analysis	2020	355
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data Yuanzhi Li, Yingyu Liang arXiv (Cornell University) Artificial IntelligenceStructured PredictionEngineeringMachine LearningRandom Initialization	2018	318
A Latent Variable Model Approach to PMI-based Word Embeddings Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Transactions of the Association for Computational Linguistics EngineeringSemanticsPmi-based Word EmbeddingsText MiningSemantic Word Embeddings	2016	288
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora, Rong Ge, Yingyu Liang, arXiv (Cornell University) Artificial IntelligenceGenerative Adversarial NetsMachine LearningEngineeringGenerative Adversarial Network	2017	211
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang arXiv (Cornell University) Artificial IntelligenceNeural Scaling LawHyperparameter EstimationFundamental Learning TheoryMachine Learning	2018	172
Learning Overparameterized Neural Networks via Stochastic Gradient\n Descent on Structured Data Yuanzhi Li, Yingyu Liang arXiv (Cornell University)	2018	161
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning Shengchao Liu, Yingyu Liang, Anthony Gitter Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceNegative TransferEngineeringMachine LearningMultistrategy Learning	2019	127
Learning and Generalization in Overparameterized Neural Networks, Going\n Beyond Two Layers Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang arXiv (Cornell University)	2018	106
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai, Bo Xie, Niao He, Figshare	2018	102

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