Xinzhe Wu

According to our database, Xinzhe Wu authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle.

Weitong Qian, Beicheng Xu, Zhongao Xie, Bowen Fan, Guozheng Tang, Jiale Chen, Xinzhe Wu, Mingtian Yang, Chenyang Di, Jiajun Li, Lingching Tung, Peichao Lai, Yifei Xia, Ziyi Guo, Yanwei Xu, Yanzhao Qin, Shaoduo Gan, Xupeng Miao, Bin Cui

CoRR, May, 2026

Estimating the condition number of Chebyshev filtered vectors with application to the ChASE library.

Edoardo Di Napoli, Xinzhe Wu

CoRR, March, 2026

PHIDE: A Parallel Hybrid Direct-Iterative Eigensolver for Hermitian Eigenvalue Problems.

Shengguo Li, Xinzhe Wu, José E. Román, Ziyang Yuan, Ruibo Wang, Tiejun Li, Yi Xie, Bo Yang, Xuguang Chen

IEEE Trans. Parallel Distributed Syst., January, 2026

Chebyshev Accelerated Subspsace Eigensolver for Pseudo-hermitian Hamiltonians.

Edoardo Di Napoli, Clément Richefort, Xinzhe Wu

CoRR, January, 2026

2024

Computing formation enthalpies through an explainable machine learning method: the case of lanthanide orthophosphates solid solutions.

Edoardo Di Napoli, Xinzhe Wu, Thomas Bornhake, Piotr M. Kowalski

Frontiers Appl. Math. Stat., 2024

2023

Advancing the distributed Multi-GPU ChASE library through algorithm optimization and NCCL library.

Xinzhe Wu, Edoardo Di Napoli

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

ChASE: a distributed hybrid CPU-GPU eigensolver for large-scale hermitian eigenvalue problems.

Xinzhe Wu, Davor Davidovic, Sebastian Achilles, Edoardo Di Napoli

Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022

2020

A Parallel Direct Eigensolver for Sequences of Hermitian Eigenvalue Problems with No Tridiagonalization.

Shengguo Li, Xinzhe Wu, José E. Román, Ziyang Yuan, Lizhi Cheng

CoRR, 2020

2019

Contribution to the Emergence of New Intelligent Parallel and Distributed Methods Using a Multi-level ProgrammingParadigm for Extreme Computing. (Contribution à l'émergence de nouvelles méthodes parallèles et reparties intelligentes utilisant un paradigme deprogrammation multi-niveaux pour le calcul extrême).

Xinzhe Wu

PhD thesis, 2019

Highly Sensitive Impact Sensor Based on PVDF-TrFE/Nano-ZnO Composite Thin Film.

Jing Han, Dong Li, Chunmao Zhao, Xiaoyan Wang, Jie Li, Xinzhe Wu

Sensors, 2019

A distributed and parallel asynchronous unite and conquer method to solve large scale non-Hermitian linear systems with multiple right-hand sides.

Xinzhe Wu, Serge G. Petiton

Parallel Comput., 2019

2018

A Parallel Generator of Non-Hermitian Matrices Computed from Given Spectra.

Xinzhe Wu, Serge G. Petiton, Yutong Lu

Proceedings of the High Performance Computing for Computational Science - VECPAR 2018, 2018

A Distributed and Parallel Asynchronous Unite and Conquer Method to Solve Large Scale Non-Hermitian Linear Systems.

Xinzhe Wu, Serge G. Petiton

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2018