Xinran Zhu

26 papers A* 2A 1B 1C 2Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Knowledge Synthesis Graph: An LLM-Based Approach for Modeling Student Collaborative Discourse.
CoRR
Bo Shui, Xinran Zhu
2025 J jnl
Integrating Generative AI into LMS: Reshaping Learning and Instructional Design.
CoRR
Xinran Zhu, Liam Magee, Peg Mischler
2025 J jnl
Writing With Machines and Peers: Designing for Critical Engagement with Generative AI.
CoRR
Xinran Zhu, Cong Wang, Duane Searsmith
2024 J jnl
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency.
Artif. Intell.
Haris Aziz, Bo Li, Hervé Moulin, Xiaowei Wu, Xinran Zhu
2023 J jnl
Bayesian Transformed Gaussian Processes.
Trans. Mach. Learn. Res.
Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel
2023 J jnl
Beyond reading together: Facilitating knowledge construction through participation roles and social annotation in college classrooms.
Internet High. Educ.
Xinran Zhu, Hong Shui, Bodong Chen
2023 J jnl
Integrating generative AI in knowledge building.
Comput. Educ. Artif. Intell.
Bodong Chen, Xinran Zhu, Fernando Diaz del Castillo
2023 J jnl
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees.
CoRR
Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng
2023 J jnl
SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees.
Knowl. Based Syst.
Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng
2023 — conf
The Synthesis Lab: Empowering Collaborative Learning in Higher Education through Knowledge Synthesis.
CSCW Companion
Xinran Zhu, Hong Shui, Bodong Chen
2023 J jnl
The Synthesis Lab: Empowering Collaborative Learning in Higher Education through Knowledge Synthesis.
CoRR
Xinran Zhu, Hong Shui, Bodong Chen
2023 J jnl
Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework.
CoRR
Xinran Zhu, Bodong Chen
2023 A* conf
Variational Gaussian Processes with Decoupled Conditionals.
NeurIPS
Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob R. Gardner, David Bindel
2022 — conf
GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications.
PP
Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li
2022 — conf
ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments.
PMBS@SC
Adrián Pérez Diéguez, Min Choi, Xinran Zhu, Bryan M. Wong, Khaled Z. Ibrahim
2022 J jnl
Scalable Bayesian Transformed Gaussian Processes.
CoRR
Xinran Zhu, Leo Huang, Cameron Ibrahim, Eric Hans Lee, David Bindel
2022 A conf
Socio-Semantic Network Motifs Framework for Discourse Analysis.
LAK
Bodong Chen, Xinran Zhu, Hong Shui
2022 J jnl
Spatial-Temporal Prediction of Vegetation Index With Deep Recurrent Neural Networks.
IEEE Geosci. Remote. Sens. Lett.
Wentao Yu, Jing Li, Qinhuo Liu, Jing Zhao, Yadong Dong, Cong Wang, Shangrong Lin, Xinran Zhu, Hu Zhang
2022 J jnl
Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series.
IEEE Trans. Geosci. Remote. Sens.
Xinran Zhu, Jing Li, Qinhuo Liu, Wentao Yu, Songze Li, Jing Zhao, Yadong Dong, Zhaoxing Zhang, Hu Zhang, Shangrong Lin
2021 C conf
Designing Support for Productive Social Interaction and Knowledge Co-Construction in Collaborative Annotation.
ICCE
Xinran Zhu, Hong Shui, Bodong Chen
2021 J jnl
Estimating Leaf Area Index with Dynamic Leaf Optical Properties.
Remote. Sens.
Hu Zhang, Jing Li, Qinhuo Liu, Yadong Dong, Songze Li, Zhaoxing Zhang, Xinran Zhu, Liangyun Liu, Jing Zhao
2021 B conf
GPTune: multitask learning for autotuning exascale applications.
PPoPP
Yang Liu, Wissam M. Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James Weldon Demmel, Xiaoye S. Li
2021 J jnl
Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data.
Remote. Sens.
Wentao Yu, Jing Li, Qinhuo Liu, Jing Zhao, Yadong Dong, Xinran Zhu, Shangrong Lin, Hu Zhang, Zhaoxing Zhang
2021 A* conf
Scaling Gaussian Processes with Derivative Information Using Variational Inference.
NeurIPS
Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel
2021 J jnl
Scaling Gaussian Processes with Derivative Information Using Variational Inference.
CoRR
Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel
2020 C conf
Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data.
IGARSS
Xinran Zhu, Jing Li, Qinhuo Liu