Xinran Zhu

According to our database, Xinran Zhu authored at least 17 papers between 2020 and 2023.

Collaborative distances:

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

2023

Beyond reading together: Facilitating knowledge construction through participation roles and social annotation in college classrooms.

Xinran Zhu, Hong Shui, Bodong Chen

Internet High. Educ., October, 2023

Bayesian Transformed Gaussian Processes.

Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel

Trans. Mach. Learn. Res., 2023

SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees.

Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng

Knowl. Based Syst., 2023

Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework.

Xinran Zhu, Bodong Chen

CoRR, 2023

Variational Gaussian Processes with Decoupled Conditionals.

Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob Gardner, David Bindel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Synthesis Lab: Empowering Collaborative Learning in Higher Education through Knowledge Synthesis.

Xinran Zhu, Hong Shui, Bodong Chen

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022

Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series.

Xinran Zhu, Jing Li, Qinhuo Liu, Wentao Yu, Songze Li, Jing Zhao, Yadong Dong, Zhaoxing Zhang, Hu Zhang, Shangrong Lin

IEEE Trans. Geosci. Remote. Sens., 2022

Spatial-Temporal Prediction of Vegetation Index With Deep Recurrent Neural Networks.

Wentao Yu, Jing Li, Qinhuo Liu, Jing Zhao, Yadong Dong, Cong Wang, Shangrong Lin, Xinran Zhu, Hu Zhang

IEEE Geosci. Remote. Sens. Lett., 2022

Scalable Bayesian Transformed Gaussian Processes.

Xinran Zhu, Leo Huang, Cameron Ibrahim, Eric Hans Lee, David Bindel

CoRR, 2022

GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications.

Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li

Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments.

Adrián Pérez Diéguez, Min Choi, Xinran Zhu, Bryan M. Wong, Khaled Z. Ibrahim

Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022

Socio-Semantic Network Motifs Framework for Discourse Analysis.

Bodong Chen, Xinran Zhu, Hong Shui

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

2021

Estimating Leaf Area Index with Dynamic Leaf Optical Properties.

Hu Zhang, Jing Li, Qinhuo Liu, Yadong Dong, Songze Li, Zhaoxing Zhang, Xinran Zhu, Liangyun Liu, Jing Zhao

Remote. Sens., 2021

Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data.

Wentao Yu, Jing Li, Qinhuo Liu, Jing Zhao, Yadong Dong, Xinran Zhu, Shangrong Lin, Hu Zhang, Zhaoxing Zhang

Remote. Sens., 2021

GPTune: multitask learning for autotuning exascale applications.

Yang Liu, Wissam M. Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James Weldon Demmel, Xiaoye S. Li

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

Scaling Gaussian Processes with Derivative Information Using Variational Inference.

Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data.

Xinran Zhu, Jing Li, Qinhuo Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020