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Yingbo Ma
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Journal Articles
- 2024
- [j7]Yukyeong Song, Wanli Xing, Chenglu Li, Xiaoyi Tian, Yingbo Ma:
Investigating the relationship between math literacy and linguistic synchrony in online mathematical discussions through large-scale data analytics. Br. J. Educ. Technol. 55(5): 2226-2256 (2024) - [j6]Toni V. Earle-Randell, Joseph B. Wiggins, Yingbo Ma, Mehmet Celepkolu, Dolly Bounajim, Zhikai Gao, Julianna Martinez Ruiz, Kristy Elizabeth Boyer, Maya Israel, Collin F. Lynch, Eric N. Wiebe:
The impact of near-peer virtual agents on computer science attitudes and collaborative dialogue. Int. J. Child Comput. Interact. 40: 100646 (2024) - 2023
- [j5]Torkel E. Loman, Yingbo Ma, Vasily Ilin, Shashi Gowda, Niklas Korsbo, Nikhil Yewale, Chris Rackauckas, Samuel A. Isaacson:
Catalyst: Fast and flexible modeling of reaction networks. PLoS Comput. Biol. 19(10) (2023) - 2022
- [j4]Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas:
Symbolic-numeric integration of univariate expressions based on sparse regression. ACM Commun. Comput. Algebra 56(2): 84-87 (2022) - 2021
- [j3]Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas:
High-performance symbolic-numerics via multiple dispatch. ACM Commun. Comput. Algebra 55(3): 92-96 (2021) - [j2]Pedro Guillermo Feijóo García, Yu-Peng Chen, Shaghayegh Esmaeili, Yingbo Ma, Christina Gardner-McCune:
Write2Code: Pen-Based Educational Tool for Java. Int. J. Emerg. Technol. Learn. 16(3) (2021) - [j1]Bo Zhong, Yingbo Ma, Aixia Yang, Junjun Wu:
Radiometric Performance Evaluation of FY-4A/AGRI Based on Aqua/MODIS. Sensors 21(5): 1859 (2021)
Conference and Workshop Papers
- 2023
- [c13]Yingbo Ma, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Eric N. Wiebe, Maya Israel:
How Noisy is Too Noisy? The Impact of Data Noise on Multimodal Recognition of Confusion and Conflict During Collaborative Learning. ICMI 2023: 326-335 - 2022
- [c12]Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas:
Constrained Smoothers for State Estimation of Vapor Compression Cycles. ACC 2022: 2333-2340 - [c11]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:
Composing Modeling And Simulation With Machine Learning In Julia. ANNSIM 2022: 1-17 - [c10]Ivan Liu, Qi Zhong, Fangyuan Liu, Hushan Xu, Wenxi Chen, Xiaoqing Zhu, Yingbo Ma, Shiguang Ni:
Assessing Mental Health During Covid-19 Lockdown: A Smartphone-Based Multimodal Emotion Recognition Approach. CCHI 2022: 262-269 - [c9]Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu, Kristy Elizabeth Boyer:
Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School. EDM 2022 - [c8]Utkarsh Rajput, Chris Elrod, Yingbo Ma, Konstantin Althaus, Christopher Rackauckas:
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations. HPEC 2022: 1-9 - [c7]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:
Building the dream team: children's reactions to virtual agents that model collaborative talk. IVA 2022: 3:1-3:8 - [c6]Yingbo Ma, Mehmet Celepkolu, Kristy Elizabeth Boyer:
Detecting Impasse During Collaborative Problem Solving with Multimodal Learning Analytics. LAK 2022: 45-55 - [c5]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:
It's Challenging but Doable: Lessons Learned from a Remote Collaborative Coding Camp for Elementary Students. SIGCSE (1) 2022: 342-348 - 2021
- [c4]Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas:
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks. AAAI Spring Symposium: MLPS 2021 - [c3]Yingbo Ma, Joseph B. Wiggins, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Eric N. Wiebe:
The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students' Collaborative Dialogue. AIED (1) 2021: 268-281 - [c2]Yingbo Ma, Vaibhav Dixit, Michael J. Innes, Xingjian Guo, Christopher Rackauckas:
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions. HPEC 2021: 1-9 - [c1]Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Vincent Rackauckas:
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. ICML 2021: 8325-8335
Informal and Other Publications
- 2024
- [i18]Yingbo Ma, Yukyeong Song, Mehmet Celepkolu, Kristy Elizabeth Boyer, Eric N. Wiebe, Collin F. Lynch, Maya Israel:
Automatically Detecting Confusion and Conflict During Collaborative Learning Using Linguistic, Prosodic, and Facial Cues. CoRR abs/2401.15201 (2024) - [i17]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:
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records. CoRR abs/2403.04012 (2024) - [i16]Yonggi Park, Yuanfang Ren, Benjamin Shickel, Ziyuan Guan, Ayush Patela, Yingbo Ma, Zhenhong Hu, Tyler J. Loftus, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Federated learning model for predicting major postoperative complications. CoRR abs/2404.06641 (2024) - [i15]Yingbo Ma, Suraj Kolla, Zhenhong Hu, Dhruv Kaliraman, Victoria Nolan, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel:
Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision. CoRR abs/2404.06723 (2024) - [i14]Yuanfang Ren, Chirayu Tripathi, Ziyuan Guan, Ruilin Zhu, Victoria Hougha, Yingbo Ma, Zhenhong Hu, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications. CoRR abs/2404.16064 (2024) - [i13]Yingbo Ma, Yukyeong Song, Jeremy A. Balch, Yuanfang Ren, Divya Vellanki, Zhenhong Hu, Meghan Brennan, Suraj Kolla, Ziyuan Guan, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Tyler J. Loftus, Azra Bihorac, Benjamin Shickel:
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools. CoRR abs/2407.18939 (2024) - 2023
- [i12]Utkarsh Rajput, Valentin Churavy, Yingbo Ma, Tim Besard, Tim Gymnich, Adam R. Gerlach, Alan Edelman, Christopher Rackauckas:
Automated Translation and Accelerated Solving of Differential Equations on Multiple GPU Platforms. CoRR abs/2304.06835 (2023) - 2022
- [i11]Shahriar Iravanian, Carl Julius Martensen, Alessandro Cheli, Shashi Gowda, Anand Jain, Yingbo Ma, Chris Rackauckas:
Symbolic-Numeric Integration of Univariate Expressions based on Sparse Regression. CoRR abs/2201.12468 (2022) - [i10]Utkarsh Rajput, Chris Elrod, Yingbo Ma, Christopher Rackauckas:
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations. CoRR abs/2207.08135 (2022) - 2021
- [i9]Yingbo Ma, Shashi Gowda, Ranjan Anantharaman, Chris Laughman, Viral B. Shah, Christopher Rackauckas:
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling. CoRR abs/2103.05244 (2021) - [i8]Avik Pal, Yingbo Ma, Viral B. Shah, Christopher Rackauckas:
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics. CoRR abs/2105.03918 (2021) - [i7]Shashi Gowda, Yingbo Ma, Alessandro Cheli, Maja Gwózdz, Viral B. Shah, Alan Edelman, Christopher Rackauckas:
High-performance symbolic-numerics via multiple dispatch. CoRR abs/2105.03949 (2021) - [i6]Christopher Rackauckas, Ranjan Anantharaman, Alan Edelman, Shashi Gowda, Maja Gwózdz, Anand Jain, Chris Laughman, Yingbo Ma, Francesco Martinuzzi, Avik Pal, Utkarsh Rajput, Elliot Saba, Viral B. Shah:
Composing Modeling and Simulation with Machine Learning in Julia. CoRR abs/2105.05946 (2021) - [i5]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:
NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations. CoRR abs/2107.09443 (2021) - 2020
- [i4]Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Jasim Ramadhan:
Universal Differential Equations for Scientific Machine Learning. CoRR abs/2001.04385 (2020) - [i3]Ranjan Anantharaman, Yingbo Ma, Shashi Gowda, Chris Laughman, Viral B. Shah, Alan Edelman, Christopher Rackauckas:
Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks. CoRR abs/2010.04004 (2020) - 2019
- [i2]Christopher Rackauckas, Mike Innes, Yingbo Ma, Jesse Bettencourt, Lyndon White, Vaibhav Dixit:
DiffEqFlux.jl - A Julia Library for Neural Differential Equations. CoRR abs/1902.02376 (2019) - 2018
- [i1]Christopher Rackauckas, Yingbo Ma, Vaibhav Dixit, Xingjian Guo, Mike Innes, Jarrett Revels, Joakim Nyberg, Vijay Ivaturi:
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions. CoRR abs/1812.01892 (2018)
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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