Xinran Zhu pronounce?

Standard Chinese pronunciation of my first name: play

Publications

1. NeurIPS

   Variational Gaussian Processes with Decoupled Conditionals

   Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob R. Gardner, and David Bindel

   In Advances in Neural Information Processing Systems 2023

   BibTeX

   @inproceedings{zhu2023variational,
     title = {Variational Gaussian Processes with Decoupled Conditionals},
     author = {Zhu, Xinran and Wu, Kaiwen and Maus, Natalie and Gardner, Jacob R. and Bindel, David},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {},
     pages = {},
     year = {2023},
     month = dec,
     publisher = {}
   }
   

2. TMLR

   Bayesian Transformed Gaussian Processes

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

   In Transactions on Machine Learning Research 2023

   PDF BibTeX

   @inproceedings{zhu2023Bayesian,
     title = {Bayesian Transformed Gaussian Processes},
     author = {Zhu, Xinran and Huang, Leo and Lee, Eric Hans and Ibrahim, Cameron and Bindel, David},
     booktitle = {Transactions on Machine Learning Research},
     year = {2023},
     month = apr
   }
   

3. KBS

   SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees

   Aleksei Sorokin*, Xinran Zhu*, Eric Hans Lee, and Bolong Cheng

   Knowledge-Based Systems 2023

   BibTeX

   @article{zhu2023mulch,
     title = {SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees},
     author = {Sorokin, Aleksei and Zhu, Xinran and Lee, Eric Hans and Cheng, Bolong},
     journal = {Knowledge-Based Systems},
     volume = {},
     pages = {},
     year = {2023},
     month = apr,
     publisher = {Elsevier}
   }
   

4. NeurIPS-W

   Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting

   Xinran Zhu, Jacob R. Gardner, and David Bindel

   In NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, Decision-making Systems 2022

   PDF BibTeX

   @inproceedings{zhu2022efficient,
     title = {Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting},
     author = {Zhu, Xinran and Gardner, Jacob R. and Bindel, David},
     booktitle = {NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, Decision-making Systems},
     year = {2022},
     month = dec
   }
   

5. PMBS

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

   Adrian P Dieguez, Min Choi, Xinran Zhu, Bryan M Wong, and Khaled Z Ibrahim

   In 2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) 2022

   PDF BibTeX

   @inproceedings{dieguez2022ml,
     title = {ML-based Performance Portability for Time-Dependent Density Functional Theory in HPC Environments},
     author = {Dieguez, Adrian P and Choi, Min and Zhu, Xinran and Wong, Bryan M and Ibrahim, Khaled Z},
     booktitle = {2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)},
     pages = {1--12},
     year = {2022},
     month = nov,
     organization = {IEEE}
   }
   

6. PP

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

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

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

   PDF BibTeX

   @inproceedings{zhu2022gptuneband,
     title = {GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications},
     author = {Zhu, Xinran and Liu, Yang and Ghysels, Pieter and Bindel, David and Li, Xiaoye S},
     booktitle = {Proceedings of the SIAM Conference on Parallel Processing for Scientific Computing},
     year = {2022},
     month = mar
   }
   

7. NeurIPS

   Scaling Gaussian Processes with Derivative Information Using Variational Inference

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

   In Advances in Neural Information Processing Systems 2021

   PDF BibTeX

   @inproceedings{padidar2021scaling,
     title = {Scaling Gaussian Processes with Derivative Information Using Variational Inference},
     author = {Padidar, Misha A and Zhu, Xinran and Huang, Leo and Gardner, Jacob R. and Bindel, David},
     booktitle = {Advances in Neural Information Processing Systems},
     editor = {Beygelzimer, A. and Dauphin, Y. and Liang, P. and Vaughan, J. Wortman},
     year = {2021},
     url = {https://openreview.net/forum?id=mV4hBipdm5l},
     month = dec
   }
   

8. PPoPP

   GPTune: multitask learning for autotuning exascale applications

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

   In Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming 2021

   PDF BibTeX

   @inproceedings{liu2021gptune,
     title = {GPTune: multitask learning for autotuning exascale applications},
     author = {Liu, Yang and Sid-Lakhdar, Wissam M and Marques, Osni and Zhu, Xinran and Meng, Chang and Demmel, James W and Li, Xiaoye S},
     booktitle = {Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming},
     pages = {234--246},
     year = {2021}
   }