Xinran Zhu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Gaussian Processes

Multitask Learning

Top Venues

Publications

Haris Aziz, Bo Li, Hervé Moulin, Xiaowei Wu, Xinran Zhu
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency. Artif. Intell. 331 (2024)
Xinran Zhu, Hong Shui, Bodong Chen
Beyond reading together: Facilitating knowledge construction through participation roles and social annotation in college classrooms. Internet High. Educ. 59 (2023)
Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob Gardner, David Bindel
Variational Gaussian Processes with Decoupled Conditionals. NeurIPS (2023)
Xinran Zhu, Bodong Chen
Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework. CoRR (2023)
Xinran Zhu, Hong Shui, Bodong Chen
The Synthesis Lab: Empowering Collaborative Learning in Higher Education through Knowledge Synthesis. CoRR (2023)
Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel
Bayesian Transformed Gaussian Processes. Trans. Mach. Learn. Res. 2023 (2023)
Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng
SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees. Knowl. Based Syst. 273 (2023)
Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees. CoRR (2023)
Xinran Zhu, Hong Shui, Bodong Chen
The Synthesis Lab: Empowering Collaborative Learning in Higher Education through Knowledge Synthesis. CSCW Companion (2023)
Bodong Chen, Xinran Zhu, Hong Shui
Socio-Semantic Network Motifs Framework for Discourse Analysis. LAK (2022)
Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li
GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications. PPSC (2022)
Xinran Zhu, Jing Li, Qinhuo Liu, Wentao Yu, Songze Li, Jing Zhao, Yadong Dong, Zhaoxing Zhang, Hu Zhang, Shangrong Lin
Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Adrián Pérez Diéguez, Min Choi, Xinran Zhu, Bryan M. Wong, Khaled Z. Ibrahim
ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments. PMBS@SC (2022)
Xinran Zhu, Leo Huang, Cameron Ibrahim, Eric Hans Lee, David Bindel
Scalable Bayesian Transformed Gaussian Processes. CoRR (2022)
Wentao Yu, Jing Li, Qinhuo Liu, Jing Zhao, Yadong Dong, Cong Wang, Shangrong Lin, Xinran Zhu, Hu Zhang
Spatial-Temporal Prediction of Vegetation Index With Deep Recurrent Neural Networks. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel
Scaling Gaussian Processes with Derivative Information Using Variational Inference. CoRR (2021)
Yang Liu, Wissam M. Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James Weldon Demmel, Xiaoye S. Li
GPTune: multitask learning for autotuning exascale applications. PPoPP (2021)
Wentao Yu, Jing Li, Qinhuo Liu, Jing Zhao, Yadong Dong, Xinran Zhu, Shangrong Lin, Hu Zhang, Zhaoxing Zhang
Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data. Remote. Sens. 13 (3) (2021)
Hu Zhang, Jing Li, Qinhuo Liu, Yadong Dong, Songze Li, Zhaoxing Zhang, Xinran Zhu, Liangyun Liu, Jing Zhao
Estimating Leaf Area Index with Dynamic Leaf Optical Properties. Remote. Sens. 13 (23) (2021)
Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel
Scaling Gaussian Processes with Derivative Information Using Variational Inference. NeurIPS (2021)
Xinran Zhu, Jing Li, Qinhuo Liu
Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data. IGARSS (2020)