Honghui Shang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
3
Active years
2019–2026
Best venue rank
A
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | HPDC | A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States. | Daran Sun, Bowen Kan, Haoquan Long, Hairui Zhao, Haoxu Li, Yicheng Liu, Pengyu Zhou, Ankang Feng, Wenjing Huang, Yida Gu, Zhenyu Li, Honghui Shang, Yunquan Zhang, Dingwen Tao, Ninghui Sun, Guangming Tan |
| 2025 | PPoPP | TensorMD: Molecular Dynamics Simulation with Ab Initio Accuracy of 50 Billion Atoms. | Yucheng Ouyang, Ying Liu, Honghui Shang, Zhenchuan Chen, Jiahao Shan, Huimin Cui, Xiaobing Feng, Xin Chen, Xingyu Gao, Lifang Wang, Haifeng Song, Xin Chen, Rongfen Lin, Fang Li |
| 2025 | SC | NNQS-SCI: Tackling Trillion-Dimensional Hilbert Space with Adaptive Neural Network Quantum States. | Bowen Kan, Yumeng Zhou, Daiyou Xie, Pengyu Zhou, Yunquan Zhang, Honghui Shang |
| 2025 | SC | TENSORMD: Accelerating Molecular Dynamics with a High-Performance Machine Learning Interatomic Potential. | Yucheng Ouyang, Xin Chen, Ying Liu, Xin Chen, Honghui Shang, Zhenchuan Chen, Rongfen Lin, Xingyu Gao, Lifang Wang, Fang Li, Jiahao Shan, Haifeng Song, Huimin Cui, Xiaobing Feng, Jingling Xue |
| 2024 | SC | Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms. | Honghui Shang, Ying Liu, Zhikun Wu, Zhenchuan Chen, Jinfeng Liu, Meiyue Shao, Yingzhou Li, Bowen Kan, Huimin Cui, Xiaobing Feng, Yunquan Zhang, Donald G. Truhlar, Hong An, Xiao He, Jinlong Yang |
| 2023 | SC | NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry. | Yangjun Wu, Chu Guo, Yi Fan, Pengyu Zhou, Honghui Shang |
| 2023 | SC | Portable and Scalable All-Electron Quantum Perturbation Simulations on Exascale Supercomputers. | Zhikun Wu, Yangjun Wu, Ying Liu, Honghui Shang, Yingxiang Gao, Zhongcheng Zhang, Yuyang Zhang, Yingchi Long, Xiaobing Feng, Huimin Cui |
| 2022 | SC | Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer. | Honghui Shang, Li Shen, Yi Fan, Zhiqian Xu, Chu Guo, Jie Liu, Wenhao Zhou, Huan Ma, Rongfen Lin, Yuling Yang, Fang Li, Zhuoya Wang, Yunquan Zhang, Zhenyu Li |
| 2021 | SC | SW_Qsim: a minimize-memory quantum simulator with high-performance on a new Sunway supercomputer. | Fang Li, Xin Liu, Yong Liu, Pengpeng Zhao, Yuling Yang, Honghui Shang, Weizhe Sun, Zhen Wang, Enming Dong, Dexun Chen |
| 2021 | SC | TensorKMC: kinetic Monte Carlo simulation of 50 trillion atoms driven by deep learning on a new generation of Sunway supercomputer. | Honghui Shang, Xin Chen, Xingyu Gao, Rongfen Lin, Lifang Wang, Fang Li, Qian Xiao, Lei Xu, Qiang Sun, Leilei Zhu, Fei Wang, Yunquan Zhang, Haifeng Song |
| 2021 | SC | Accelerating all-electron | Honghui Shang, Fang Li, Yunquan Zhang, Ying Liu, Libo Zhang, Mingchuan Wu, Yangjun Wu, Di Wei, Huimin Cui, Xin Liu, Fei Wang, Yuxi Ye, Yingxiang Gao, Shuang Ni, Xin Chen, Dexun Chen |
| 2021 | SC | Extreme-scale | Honghui Shang, Fang Li, Yunquan Zhang, Libo Zhang, You Fu, Yingxiang Gao, Yangjun Wu, Xiaohui Duan, Rongfen Lin, Xin Liu, Ying Liu, Dexun Chen |
| 2019 | SC | OpenKMC: a KMC design for hundred-billion-atom simulation using millions of cores on Sunway Taihulight. | Kun Li, Honghui Shang, Yunquan Zhang, Shigang Li, Baodong Wu, Dong Wang, Libo Zhang, Fang Li, Dexun Chen, Zhiqiang Wei |