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Qizhi Pei
Qizhi Pei
PhD Student, Gaoling School of Artificial Intelligence, Renmin University of China
Verified email at ruc.edu.cn - Homepage
Title
Cited by
Cited by
Year
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
Q Pei, W Zhang, J Zhu, K Wu, K Gao, L Wu, Y Xia, R Yan
EMNLP-2023, 2023
242023
Breaking the barriers of data scarcity in drug–target affinity prediction
Q Pei, L Wu, J Zhu, Y Xia, S Xie, T Qin, H Liu, TY Liu, R Yan
Briefings in Bioinformatics 24 (6), bbad386, 2023
14*2023
FABind: Fast and Accurate Protein-Ligand Binding
Q Pei, K Gao, L Wu, J Zhu, Y Xia, S Xie, T Qin, K He, TY Liu, R Yan
NeurIPS-2023, 2023
92023
Biot5+: Towards generalized biological understanding with iupac integration and multi-task tuning
Q Pei, L Wu, K Gao, X Liang, Y Fang, J Zhu, S Xie, T Qin, R Yan
ACL-2024 (Findings), 2024
52024
Examining user-friendly and open-sourced large gpt models: A survey on language, multimodal, and scientific gpt models
K Gao, S He, Z He, J Lin, QZ Pei, J Shao, W Zhang
arXiv preprint arXiv:2308.14149, 2023
42023
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
Q Pei, L Wu, K Gao, J Zhu, Y Wang, Z Wang, T Qin, R Yan
arXiv preprint arXiv:2403.01528, 2024
32024
Target-aware Molecule Generation for Drug Design Using a Chemical Language Model*
Y Xia, K Wu, P Deng, R Liu, Y Zhang, H Guo, Y Cui, Q Pei, L Wu, S Xie, ...
bioRxiv, 2024.01. 08.574635, 2024
12024
3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization
Q Pei, L Wu, K Gao, J Zhu, R Yan
arXiv preprint arXiv:2406.05797, 2024
2024
FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation
K Gao, Q Pei, J Zhu, T Qin, K He, TY Liu, L Wu
arXiv preprint arXiv:2403.20261, 2024
2024
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