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Xinran Zhu
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2020 – today
- 2024
- [j8]Haris Aziz, Bo Li, Hervé Moulin, Xiaowei Wu, Xinran Zhu:
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency. Artif. Intell. 331: 104118 (2024) - 2023
- [j7]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: 100919 (2023) - [j6]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: 110604 (2023) - [j5]Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel:
Bayesian Transformed Gaussian Processes. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Xinran Zhu, Hong Shui, Bodong Chen:
The Synthesis Lab: Empowering Collaborative Learning in Higher Education through Knowledge Synthesis. CSCW Companion 2023: 245-248 - [c7]Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob R. Gardner, David Bindel:
Variational Gaussian Processes with Decoupled Conditionals. NeurIPS 2023 - [i5]Xinran Zhu, Bodong Chen:
Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework. CoRR abs/2305.16262 (2023) - [i4]Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng:
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees. CoRR abs/2307.04849 (2023) - [i3]Xinran Zhu, Hong Shui, Bodong Chen:
The Synthesis Lab: Empowering Collaborative Learning in Higher Education through Knowledge Synthesis. CoRR abs/2307.04872 (2023) - 2022
- [j4]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: 1-5 (2022) - [j3]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: 1-14 (2022) - [c6]Bodong Chen, Xinran Zhu, Hong Shui:
Socio-Semantic Network Motifs Framework for Discourse Analysis. LAK 2022: 500-506 - [c5]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: 1-12 - [c4]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. PP 2022: 1-13 - [i2]Xinran Zhu, Leo Huang, Cameron Ibrahim, Eric Hans Lee, David Bindel:
Scalable Bayesian Transformed Gaussian Processes. CoRR abs/2210.10973 (2022) - 2021
- [j2]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): 484 (2021) - [j1]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): 4898 (2021) - [c3]Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel:
Scaling Gaussian Processes with Derivative Information Using Variational Inference. NeurIPS 2021: 6442-6453 - [c2]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: 234-246 - [i1]Misha Padidar, Xinran Zhu, Leo Huang, Jacob R. Gardner, David Bindel:
Scaling Gaussian Processes with Derivative Information Using Variational Inference. CoRR abs/2107.04061 (2021) - 2020
- [c1]Xinran Zhu, Jing Li, Qinhuo Liu:
Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data. IGARSS 2020: 4505-4508
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