Rose Yu

Rose Yu

University of California, San Diego

H-index: 30

North America-United States

About Rose Yu

Rose Yu, With an exceptional h-index of 30 and a recent h-index of 29 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Machine Learning, Computational Sustainability.

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

MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Intelligent In-Cell Electrophysiology: Reconstructing Action Potentials from Nanoelectrode Data Using Physics-Informed Deep Learning.

Automatic Integration for Spatiotemporal Neural Point Processes

On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers

Computational architecture to generate representations of molecules having targeted properties

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes

Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling

Rose Yu Information

University

Position

Assistant Professor

Citations(all)

7043

Citations(since 2020)

6613

Cited By

1942

hIndex(all)

30

hIndex(since 2020)

29

i10Index(all)

43

i10Index(since 2020)

43

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Rose Yu Skills & Research Interests

Machine Learning

Computational Sustainability

Top articles of Rose Yu

Title

Journal

Author(s)

Publication Date

MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling

arXiv preprint arXiv:2402.10387

Peter Eckmann

Dongxia Wu

Germano Heinzelmann

Michael K Gilson

Rose Yu

2024/2/16

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Advances in Neural Information Processing Systems

Sungduk Yu

Walter Hannah

Liran Peng

Jerry Lin

Mohamed Aziz Bhouri

...

2024/2/13

Intelligent In-Cell Electrophysiology: Reconstructing Action Potentials from Nanoelectrode Data Using Physics-Informed Deep Learning.

Zeinab Jahed

Keivan Rahmani

Ethan Foster

Ching-Ting Cai

Yang Yang

...

2024/4/30

Automatic Integration for Spatiotemporal Neural Point Processes

Advances in Neural Information Processing Systems

Zihao Zhou

Rose Yu

2024/2/13

On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers

Cai Zhou

Rose Yu

Yusu Wang

2024/4/18

Computational architecture to generate representations of molecules having targeted properties

2024/1/4

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes

Dongxia Wu

Tsuyoshi Idé

Georgios Kollias

Jiri Navratil

Aurelie Lozano

...

2024/4/18

Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling

arXiv preprint arXiv:2402.18846

Ruijia Niu

Dongxia Wu

Kai Kim

Yi-An Ma

Duncan Watson-Parris

...

2024/2/29

Scalable safe long-horizon planning in dynamic environments leveraging conformal prediction and temporal correlations

Long-Term Human Motion Prediction Workshop, International Conference on Robotics and Automation

Sander Tonkens

Sophia Sun

Rose Yu

Sylvia Herbert

2023

Latent space model for road networks to predict time-varying traffic

2023/8/1

Dyffusion: A dynamics-informed diffusion model for spatiotemporal forecasting

arXiv preprint arXiv:2306.01984

Salva Rühling Cachay

Bo Zhao

Hailey James

Rose Yu

2023/6/3

Accelerating network layouts using graph neural networks

Nature communications

Csaba Both

Nima Dehmamy

Rose Yu

Albert-László Barabási

2023/3/21

Discovering Mixtures of Structural Causal Models from Time Series Data

arXiv preprint arXiv:2310.06312

Sumanth Varambally

Yi-An Ma

Rose Yu

2023/10/10

Target-Free Compound Activity Prediction via Few-Shot Learning

arXiv preprint arXiv:2311.16328

Peter Eckmann

Jake Anderson

Michael K Gilson

Rose Yu

2023/11/27

Airfoil shape parameterization using reconstruction-error-minimizing generative adversarial networks

Marius L Ruh

Xiangbei Liu

Rose Yu

John T Hwang

2023

Artificial intelligence for science in quantum, atomistic, and continuum systems

arXiv preprint arXiv:2307.08423

Xuan Zhang

Limei Wang

Jacob Helwig

Youzhi Luo

Cong Fu

...

2023/7/17

Improving Convergence and Generalization Using Parameter Symmetries

arXiv preprint arXiv:2305.13404

Bo Zhao

Robert M Gower

Robin Walters

Rose Yu

2023/5/22

Understanding why shooters shoot--An AI-powered engine for basketball performance profiling

arXiv preprint arXiv:2303.09715

Alejandro Rodriguez Pascual

Ishan Mehta

Muhammad Khan

Frank Rodriz

Rose Yu

2023/3/17

Latent Space Symmetry Discovery

arXiv preprint arXiv:2310.00105

Jianke Yang

Nima Dehmamy

Robin Walters

Rose Yu

2023/9/29

Incident congestion propagation prediction using incident reports

Mathias Niemann Tygesen

Mayank Sharan

Francisco C Pereira

Filipe Rodrigues

Rose Yu

2023/11/13

See List of Professors in Rose Yu University(University of California, San Diego)

Co-Authors

H-index: 164
Albert-László Barabási

Albert-László Barabási

North Eastern University

H-index: 87
Christopher Ré

Christopher Ré

Stanford University

H-index: 76
Cyrus Shahabi

Cyrus Shahabi

University of Southern California

H-index: 74
Anima Anandkumar

Anima Anandkumar

California Institute of Technology

H-index: 55
Yisong Yue

Yisong Yue

California Institute of Technology

academic-engine