Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data. - Xinran Zhu; Jing Li 019; Qinhuo Liu (IGARSS, 2020)

Designing Support for Productive Social Interaction and Knowledge Co-Construction in Collaborative Annotation. - Xinran Zhu; Hong Shui; Bodong Chen (ICCE, 2021)

Scaling Gaussian Processes with Derivative Information Using Variational Inference. - Misha Padidar; Xinran Zhu; Leo Huang; Jacob R. Gardner; David Bindel (NeurIPS, 2021)

GPTune: multitask learning for autotuning exascale applications. - Yang Liu 179; Wissam M. Sid-Lakhdar; Osni Marques; Xinran Zhu; Chang Meng; James Weldon Demmel; Xiaoye S. Li (PPoPP, 2021)

Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data. - Wentao Yu; Jing Li 019; Qinhuo Liu; Jing Zhao 008; Yadong Dong; Xinran Zhu; Shangrong Lin; Hu Zhang 001; Zhaoxing Zhang (Remote. Sens., 2021)

Estimating Leaf Area Index with Dynamic Leaf Optical Properties. - Hu Zhang 001; Jing Li 019; Qinhuo Liu; Yadong Dong; Songze Li; Zhaoxing Zhang; Xinran Zhu; Liangyun Liu; Jing Zhao 008 (Remote. Sens., 2021)

Socio-Semantic Network Motifs Framework for Discourse Analysis. - Bodong Chen; Xinran Zhu; Hong Shui (LAK, 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 (PMBS@SC, 2022)

GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications. - Xinran Zhu; Yang Liu 179; Pieter Ghysels; David Bindel; Xiaoye S. Li (PP, 2022)

Scalable Bayesian Transformed Gaussian Processes. - Xinran Zhu; Leo Huang; Cameron Ibrahim; Eric Hans Lee; David Bindel (CoRR, 2022)

Spatial-Temporal Prediction of Vegetation Index With Deep Recurrent Neural Networks. - Wentao Yu; Jing Li 019; Qinhuo Liu; Jing Zhao 008; Yadong Dong; Cong Wang 037; Shangrong Lin; Xinran Zhu; Hu Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series. - Xinran Zhu; Jing Li 019; Qinhuo Liu; Wentao Yu; Songze Li; Jing Zhao 008; Yadong Dong; Zhaoxing Zhang; Hu Zhang 001; Shangrong Lin (IEEE Trans. Geosci. Remote. Sens., 2022)

The Synthesis Lab: Empowering Collaborative Learning in Higher Education through Knowledge Synthesis. - Xinran Zhu; Hong Shui; Bodong Chen (CSCW Companion, 2023)

Variational Gaussian Processes with Decoupled Conditionals. - Xinran Zhu; Kaiwen Wu; Natalie Maus; Jacob R. Gardner; David Bindel (NeurIPS, 2023)

Integrating generative AI in knowledge building. - Bodong Chen; Xinran Zhu; Fernando Diaz del Castillo (Comput. Educ. Artif. Intell., 2023)

Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework. - Xinran Zhu; Bodong Chen (CoRR, 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)

Bayesian Transformed Gaussian Processes. - Xinran Zhu; Leo Huang; Eric Hans Lee; Cameron Alexander Ibrahim; David Bindel (Trans. Mach. Learn. Res., 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., 2023)

Almost proportional allocations of indivisible chores: Computation, approximation and efficiency. - Haris Aziz 001; Bo Li 037; Hervé Moulin 001; Xiaowei Wu 001; Xinran Zhu (Artif. Intell., 2024)