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ORCIDLai Wei 0008
Person information
- affiliation: University of South Carolina, Department of Computer Science and Engineering, Columbia, SC, USA
Other persons with the same name
- Lai Wei — disambiguation page
- Lai Wei 0001
![[0000-0002-6116-1671]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6116-1671")
— Shanghai Maritime University, College of Information Engineering, China (and 1 more) - Lai Wei 0002 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA
- Lai Wei 0003 — Qualcomm Inc., Boulder, CO, USA (and 1 more)
- Lai Wei 0004 — University of New South Wales, School of Chemical Engineering, Sydney, NSW, Australia
- Lai Wei 0005 — Shanghai Jiao Tong University, Qing Yuan Research Institute, SEIEE, China
- Lai Wei 0006 — University of Essex, School of Computer Science and Electronic Engineering, Colchester, UK
- Lai Wei 0007 — Peking University, Department of Electronics, School of EECS, Beijing, China (and 1 more)
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Journal Articles
- 2023
[j3]Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu:
Probabilistic generative transformer language models for generative design of molecules. J. Cheminformatics 15(1): 88 (2023)- [j2]Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Material transformers: deep learning language models for generative materials design. Mach. Learn. Sci. Technol. 4(1): 15001 (2023) - 2022
- [j1]Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu:
Scalable deeper graph neural networks for high-performance materials property prediction. Patterns 3(5): 100491 (2022)
Informal and Other Publications
- 2023
- [i6]Sadman Sadeed Omee, Lai Wei, Jianjun Hu:
Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm. CoRR abs/2309.06710 (2023) - 2022
- [i5]Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Edirisuriya M. Dilanga Siriwardane, Fanglin Chen, Jianjun Hu:
Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials. CoRR abs/2204.11953 (2022) - [i4]Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu:
Materials Transformers Language Models for Generative Materials Design: a benchmark study. CoRR abs/2206.13578 (2022) - [i3]Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu:
Probabilistic Generative Transformer Language models for Generative Design of Molecules. CoRR abs/2209.09406 (2022) - 2021
- [i2]Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu:
Scalable deeper graph neural networks for high-performance materials property prediction. CoRR abs/2109.12283 (2021) - [i1]Nghia Nguyen, Steph-Yves M. Louis, Lai Wei, Kamal Choudhary, Ming Hu, Jianjun Hu:
Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks. CoRR abs/2111.05885 (2021)
Coauthor Index
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