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Yizhou Qian
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2020 – today
- 2024
- [j3]Yizhou Qian, Yifei Wu:
Exploring the Effectiveness of Data-Driven Learning Materials for Promoting Student Performance in Introductory Programming. IEEE Access 12: 125170-125178 (2024) - [j2]Yizhou Qian, Zaijun Wang, Yaowen Gao, Wenze Zhang, Hao Wang:
A Multi-Object Tracking Method in Moving UAV Based on IoU Matching. IEEE Access 12: 139076-139085 (2024) - [c7]Yifei Wu, Xiaofeng Wei, Meishan Liu, Yizhou Qian:
Exploring the Effects of Automated Feedback on Students in Introductory Programming Using Self-regulated Learning Theory. ACM TUR-C 2024 - 2023
- [i6]Yizhou Qian, Jonathan Wang, Quentin Douasbin, Eric Darve:
Physics-based parameterized neural ordinary differential equations: prediction of laser ignition in a rocket combustor. CoRR abs/2302.08629 (2023) - 2021
- [c6]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve:
Deep Learning-based Fast Solver of the Shallow Water Equations. AAAI Spring Symposium: MLPS 2021 - [i5]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Deep learning-based fast solver of the shallow water equations. CoRR abs/2111.11702 (2021) - [i4]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry. CoRR abs/2111.11719 (2021) - 2020
- [c5]Yizhou Qian, Hojat Ghorbanidehno, Matthew W. Farthing, Ty Hesser, Peter K. Kitanidis, Eric F. Darve:
Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse Measurements. AAAI Spring Symposium: MLPS 2020 - [c4]Léopold Cambier, Yizhou Qian, Eric Darve:
TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. PAW-ATM@SC 2020: 16-26 - [i3]Léopold Cambier, Yizhou Qian, Eric Darve:
TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. CoRR abs/2009.10697 (2020) - [i2]Yizhou Qian, Mojtaba Forghani, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve:
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. CoRR abs/2011.09707 (2020) - [i1]Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve:
Application of deep learning to large scale riverine flow velocity estimation. CoRR abs/2012.02620 (2020)
2010 – 2019
- 2019
- [c3]Yizhou Qian, Peilin Yan, Mingke Zhou:
Using Data to Understand Difficulties of Learning to Program: A Study with Chinese Middle School Students. CompEd 2019: 185-191 - [c2]Yaqin Liu, Zhiqiang Ma, Yizhou Qian:
Developing Chinese Elementary School Students' Computational Thinking: A Convergent Cognition Perspective. CompEd 2019: 238 - 2018
- [c1]Yoni Dukler, Yurun Ge, Yizhou Qian, Shintaro Yamamoto, Baichuan Yuan, Long Zhao, Andrea L. Bertozzi, Blake Hunter, Rafael Llerena, Jesse T. Yen:
Automatic valve segmentation in cardiac ultrasound time series data. Image Processing 2018: 105741Y - 2017
- [j1]Yizhou Qian, James Lehman:
Students' Misconceptions and Other Difficulties in Introductory Programming: A Literature Review. ACM Trans. Comput. Educ. 18(1): 1:1-1:24 (2017)
Coauthor Index
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last updated on 2024-11-28 21:25 CET by the dblp team
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