Yisong Yue

Yisong Yue

California Institute of Technology

H-index: 55

North America-United States

About Yisong Yue

Yisong Yue, With an exceptional h-index of 55 and a recent h-index of 50 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of Machine Learning, Artificial Intelligence.

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

Generalizability Under Sensor Failure: Tokenization+ Transformers Enable More Robust Latent Spaces

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems

Correction to “DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering”

TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Online Policy Optimization in Unknown Nonlinear Systems

Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models

Data-Driven Predictive Control for Robust Exoskeleton Locomotion

Online adaptive policy selection in time-varying systems: No-regret via contractive perturbations

Yisong Yue Information

University

Position

___

Citations(all)

10185

Citations(since 2020)

7471

Cited By

5050

hIndex(all)

55

hIndex(since 2020)

50

i10Index(all)

118

i10Index(since 2020)

111

Email

University Profile Page

California Institute of Technology

Google Scholar

View Google Scholar Profile

Yisong Yue Skills & Research Interests

Machine Learning

Artificial Intelligence

Top articles of Yisong Yue

Title

Journal

Author(s)

Publication Date

Generalizability Under Sensor Failure: Tokenization+ Transformers Enable More Robust Latent Spaces

arXiv preprint arXiv:2402.18546

Geeling Chau

Yujin An

Ahamed Raffey Iqbal

Soon-Jo Chung

Yisong Yue

...

2024/2/28

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems

Advances in Neural Information Processing Systems

Christopher Yeh

Victor Li

Rajeev Datta

Julio Arroyo

Nicolas Christianson

...

2023/12

Correction to “DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering”

ACS Synthetic Biology

Jason Yang

Julie Ducharme

Kadina E Johnston

Francesca-Zhoufan Li

Yisong Yue

...

2024/1/17

TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

arXiv preprint arXiv:2402.16412

Sabera Talukder

Yisong Yue

Georgia Gkioxari

2024/2/26

Online Policy Optimization in Unknown Nonlinear Systems

arXiv preprint arXiv:2404.13009

Yiheng Lin

James A Preiss

Fengze Xie

Emile Anand

Soon-Jo Chung

...

2024/4/19

Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models

bioRxiv

Francesca-Zhoufan Li

Ava P Amini

Yisong Yue

Kevin K Yang

Alex X Lu

2024/2/8

Data-Driven Predictive Control for Robust Exoskeleton Locomotion

arXiv preprint arXiv:2403.15658

Kejun Li

Jeeseop Kim

Xiaobin Xiong

Kaveh Akbari Hamed

Yisong Yue

...

2024/3/23

Online adaptive policy selection in time-varying systems: No-regret via contractive perturbations

Advances in Neural Information Processing Systems

Yiheng Lin

James A Preiss

Emile Anand

Yingying Li

Yisong Yue

...

2024/2/13

Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits

arXiv preprint arXiv:2401.11353

Yihong Guo

Hao Liu

Yisong Yue

Anqi Liu

2024/1/21

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code

Ziniu Hu

Ahmet Iscen

Aashi Jain

Thomas Kipf

Yisong Yue

...

2024/3/2

Fi-ode: Certified and robust forward invariance in neural odes

arXivorg

Yujia Huang

Ivan Dario Jimenez Rodriguez

Huan Zhang

Yuanyuan Shi

Yisong Yue

2023/1

SustainGym: A Benchmark Suite of Reinforcement Learning for Sustainability Applications

Christopher Yeh

Victor Li

Rajeev Datta

Yisong Yue

Adam Wierman

2022/12

Preferential Multi-Attribute Bayesian Optimization with Application to Exoskeleton Personalization

Raul Astudillo

Kejun Li

Maegan Tucker

Chu Xin Cheng

Aaron Ames

...

2023/10/4

Eventual Discounting Temporal Logic Counterfactual Experience Replay

Cameron Voloshin

Abhinav Verma

Yisong Yue

2023

Automatic gradient descent: Deep learning without hyperparameters

arXiv preprint arXiv:2304.05187

Jeremy Bernstein

Chris Mingard

Kevin Huang

Navid Azizan

Yisong Yue

2023/4/11

A Foundation Model for Cell Segmentation

bioRxiv

Uriah Israel

Markus Marks

Rohit Dilip

Qilin Li

Morgan Schwartz

...

2023/11/20

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation

Fengxue Zhang

Jialin Song

James C Bowden

Alexander Ladd

Yisong Yue

...

2023

Learning-augmented Control via Online Adaptive Policy Selection: No Regret via Contractive Perturbations

Yiheng Lin

James A Preiss

Emile Anand

Yingying Li

Yisong Yue

...

2023

The Argoverse Trajectory Retrieval Benchmark

Eric Zhan

Jagjeet Singh

Yisong Yue

Andrew Hartnett

2023/5/24

Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning

bioRxiv

Emily Laubscher

Xuefei Julie Wang

Nitzan Razin

Tom Dougherty

Rosalind J Xu

...

2023/9/5

See List of Professors in Yisong Yue University(California Institute of Technology)

Co-Authors

H-index: 121
Pietro Perona

Pietro Perona

California Institute of Technology

H-index: 80
Thorsten Joachims

Thorsten Joachims

Cornell University

H-index: 74
Anima Anandkumar

Anima Anandkumar

California Institute of Technology

H-index: 63
Iain Matthews

Iain Matthews

University of East Anglia

H-index: 62
Aaron D. Ames

Aaron D. Ames

California Institute of Technology

H-index: 48
Soon-Jo Chung

Soon-Jo Chung

California Institute of Technology

academic-engine