Kai Sheng Tai

Kai Sheng Tai

Stanford University

H-index: 10

North America-United States

Contact Kai Sheng Tai

About Kai Sheng Tai

Kai Sheng Tai, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Machine Learning, Artificial Intelligence, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-entity Video Transformers for Fine-Grained Video Representation Learning

Analyzing populations of neural networks via dynamical model embedding

Three-dimensional (3D) convolution with 3D batch normalization

Spartan: Differentiable Sparsity via Regularized Transportation

An end‐to‐end earthquake detection method for joint phase picking and association using deep learning

Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training

Statistical Learning Under Resource Constraints

Kai Sheng Tai Information

University	Stanford University
Position	___
Citations(all)	4430
Citations(since 2020)	3262
Cited By	2644
hIndex(all)	10
hIndex(since 2020)	10
i10Index(all)	10
i10Index(since 2020)	10
Email	Access Email
University Profile Page	Stanford University
Google Scholar	View Google Scholar Profile

Kai Sheng Tai Skills & Research Interests

Machine Learning

Artificial Intelligence

Natural Language Processing

Top articles of Kai Sheng Tai

Multi-entity Video Transformers for Fine-Grained Video Representation Learning

arXiv preprint arXiv:2311.10873

2023/11/17

Matthew Walmer

H-Index: 1

Kai Sheng Tai

H-Index: 7

Abhinav Shrivastava

H-Index: 18

Analyzing populations of neural networks via dynamical model embedding

arXiv preprint arXiv:2302.14078

2023/2/27

Jordan Cotler

H-Index: 16

Kai Sheng Tai

H-Index: 7

David Sussillo

H-Index: 24

Three-dimensional (3D) convolution with 3D batch normalization

2022/8/16

Spartan: Differentiable Sparsity via Regularized Transportation

2022/5/27

Kai Sheng Tai

H-Index: 7

An end‐to‐end earthquake detection method for joint phase picking and association using deep learning

Journal of Geophysical Research: Solid Earth

2022/3

Weiqiang Zhu

H-Index: 7

Kai Sheng Tai

H-Index: 7

Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training

2021/7/1

Kai Sheng Tai

H-Index: 7

Gregory Valiant

H-Index: 27

Statistical Learning Under Resource Constraints

2021

Kai Sheng Tai

H-Index: 7

See List of Professors in Kai Sheng Tai University(Stanford University)

Co-Authors

H-index: 158

Christopher D Manning — Christopher D Manning
Stanford University

Visit Christopher D Manning Page

H-index: 108

Sean McWilliams — Sean McWilliams
West Virginia University

Visit Sean McWilliams Page

H-index: 39

Gregory Valiant — Gregory Valiant
Stanford University

Visit Gregory Valiant Page

H-index: 27

S. Mostafa Mousavi — S. Mostafa Mousavi
Stanford University

Visit S. Mostafa Mousavi Page

H-index: 14

Vatsal Sharan — Vatsal Sharan
Stanford University

Visit Vatsal Sharan Page

H-index: 12

Jialin Ding — Jialin Ding
Massachusetts Institute of Technology

Visit Jialin Ding Page

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