Kaidi Cao

Kaidi Cao

Stanford University

H-index: 17

North America-United States

About Kaidi Cao

Kaidi Cao, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Machine Learning, Computer Vision, Graph Neural Networks.

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

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts

Large Graph Property Prediction via Graph Segment Training

Communication-Free Distributed GNN Training with Vertex Cut

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs

Organization of the human intestine at single-cell resolution

AutoTransfer: AutoML with Knowledge Transfer--An Application to Graph Neural Networks

Kaidi Cao Information

University

Position

___

Citations(all)

2839

Citations(since 2020)

2824

Cited By

493

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Kaidi Cao Skills & Research Interests

Machine Learning

Computer Vision

Graph Neural Networks

Top articles of Kaidi Cao

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

arXiv preprint arXiv:2404.13207

2024/4/19

PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning

arXiv preprint arXiv:2404.00776

2024/3/31

GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts

arXiv preprint arXiv:2312.04693

2023/12/7

Large Graph Property Prediction via Graph Segment Training

Advances in neural information processing systems

2023/12

Communication-Free Distributed GNN Training with Vertex Cut

arXiv preprint arXiv:2308.03209

2023/8/6

Kaidi Cao
Kaidi Cao

H-Index: 9

Jure Leskovec
Jure Leskovec

H-Index: 103

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs

arXiv e-prints

2023/8

AutoTransfer: AutoML with Knowledge Transfer--An Application to Graph Neural Networks

arXiv preprint arXiv:2303.07669

2023/3/14

Relational multi-task learning: Modeling relations between data and tasks

arXiv preprint arXiv:2303.07666

2023/3/14

Annotation of spatially resolved single-cell data with STELLAR

Nature Methods

2022/11

TuneUp: A Simple Improved Training Strategy for Graph Neural Networks

arXiv preprint arXiv:2210.14843

2022/10/26

Cross-domain image translation

2022/10/25

Learning large-scale subsurface simulations with a hybrid graph network simulator

2022/6/15

Learning backward compatible embeddings

2022/6/7

Deep learning identifies robust gender differences in functional brain organization and their dissociable links to clinical symptoms in autism

The British Journal of Psychiatry

2022/4

Open-world semi-supervised learning

arXiv preprint arXiv:2102.03526

2021/2/6

Kaidi Cao
Kaidi Cao

H-Index: 9

Jure Leskovec
Jure Leskovec

H-Index: 103

Concept Learners for Few-Shot Learning

International Conference on Learning Representations

2020/7/14

Kaidi Cao
Kaidi Cao

H-Index: 9

Jure Leskovec
Jure Leskovec

H-Index: 103

Heteroskedastic and imbalanced deep learning with adaptive regularization

arXiv preprint arXiv:2006.15766

2020/6/29

Coresets for robust training of deep neural networks against noisy labels

Advances in Neural Information Processing Systems

2020

See List of Professors in Kaidi Cao University(Stanford University)

Co-Authors

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