Yingbo Ma

According to our database, Yingbo Ma authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records.

Yingbo Ma, Suraj Kolla, Dhruv Kaliraman, Victoria Nolan, Zhenhong Hu, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel

CoRR, 2024

Automatically Detecting Confusion and Conflict During Collaborative Learning Using Linguistic, Prosodic, and Facial Cues.

Yingbo Ma, Yukyeong Song, Mehmet Celepkolu, Kristy Elizabeth Boyer, Eric N. Wiebe, Collin F. Lynch, Maya Israel

CoRR, 2024

2023

Catalyst: Fast and flexible modeling of reaction networks.

Torkel E. Loman, Yingbo Ma, Vasily Ilin, Shashi Gowda, Niklas Korsbo, Nikhil Yewale, Chris Rackauckas, Samuel A. Isaacson

PLoS Comput. Biol., October, 2023

Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms.

Utkarsh Rajput, Valentin Churavy, Yingbo Ma, Tim Besard, Tim Gymnich, Adam R. Gerlach, Alan Edelman, Christopher Rackauckas

CoRR, 2023

How Noisy is Too Noisy? The Impact of Data Noise on Multimodal Recognition of Confusion and Conflict During Collaborative Learning.

Yingbo Ma, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Eric N. Wiebe, Maya Israel

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

2022

Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations.

Utkarsh Rajput, Chris Elrod, Yingbo Ma, Christopher Rackauckas

CoRR, 2022

Symbolic-numeric integration of univariate expressions based on sparse regression.

Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas

ACM Commun. Comput. Algebra, 2022

It's Challenging but Doable: Lessons Learned from a Remote Collaborative Coding Camp for Elementary Students.

Yingbo Ma, Julianna Martinez Ruiz, Timothy D. Brown, Kiana-Alize Diaz, Adam M. Gaweda, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Eric N. Wiebe

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Detecting Impasse During Collaborative Problem Solving with Multimodal Learning Analytics.

Yingbo Ma, Mehmet Celepkolu, Kristy Elizabeth Boyer

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Building the dream team: children's reactions to virtual agents that model collaborative talk.

Joseph B. Wiggins, Toni V. Earle-Randell, Dolly Bounajim, Yingbo Ma, Julianna Martinez Ruiz, Ruohan Liu, Mehmet Celepkolu, Maya Israel, Eric N. Wiebe, Collin F. Lynch, Kristy Elizabeth Boyer

Proceedings of the IVA '22: ACM International Conference on Intelligent Virtual Agents, Faro, Portugal, September 6, 2022

Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations.

Utkarsh Rajput, Chris Elrod, Yingbo Ma, Konstantin Althaus, Christopher Rackauckas

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School.

Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu, Kristy Elizabeth Boyer

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Assessing Mental Health During Covid-19 Lockdown: A Smartphone-Based Multimodal Emotion Recognition Approach.

Ivan Liu, Qi Zhong, Fangyuan Liu, Hushan Xu, Wenxi Chen, Xiaoqing Zhu, Yingbo Ma, Shiguang Ni

Proceedings of the Tenth International Symposium of Chinese CHI, 2022

Composing Modeling And Simulation With Machine Learning In Julia.

Chris Rackauckas, Maja Gwózdz, Anand Jain, Yingbo Ma, Francesco Martinuzzi, Utkarsh Rajput, Elliot Saba, Viral B. Shah, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Avik Pal, Chris Laughman

Proceedings of the Annual Modeling and Simulation Conference, 2022

Constrained Smoothers for State Estimation of Vapor Compression Cycles.

Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas

Proceedings of the American Control Conference, 2022

2021

Radiometric Performance Evaluation of FY-4A/AGRI Based on Aqua/MODIS.

Bo Zhong, Yingbo Ma, Aixia Yang, Junjun Wu

Sensors, 2021

Write2Code: Pen-Based Educational Tool for Java.

Pedro Guillermo Feijóo García, Yu-Peng Chen, Shaghayegh Esmaeili, Yingbo Ma, Christina Gardner-McCune

Int. J. Emerg. Technol. Learn., 2021

NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations.

Kirill Zubov, Zoe McCarthy, Yingbo Ma, Francesco Calisto, Valerio Pagliarino, Simone Azeglio, Luca Bottero, Emmanuel Luján, Valentin Sulzer, Ashutosh Bharambe, Nand Vinchhi, Kaushik Balakrishnan, Devesh Upadhyay, Christopher Rackauckas

CoRR, 2021

ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling.

Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral B. Shah, Christopher Rackauckas

CoRR, 2021

High-performance symbolic-numerics via multiple dispatch.

Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas

ACM Commun. Comput. Algebra, 2021

Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics.

Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Vincent Rackauckas

Proceedings of the 38th International Conference on Machine Learning, 2021

A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions.

Yingbo Ma, Vaibhav Dixit, Michael J. Innes, Xingjian Guo, Christopher Rackauckas

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students' Collaborative Dialogue.

Yingbo Ma, Joseph B. Wiggins, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Eric N. Wiebe

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks.

Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

Universal Differential Equations for Scientific Machine Learning.

Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Jasim Ramadhan

CoRR, 2020

2019

DiffEqFlux.jl - A Julia Library for Neural Differential Equations.

Christopher Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit

CoRR, 2019

2018

A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions.

Christopher Rackauckas, Yingbo Ma, Vaibhav Dixit, Xingjian Guo, Mike Innes, Jarrett Revels, Joakim Nyberg, Vijay Ivaturi

CoRR, 2018