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2020 – today
- 2024
[c4]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan:
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. ACL (Findings) 2024: 1216-1240- [c3]Qizhi Pei
, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan:
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. CIKM 2024: 1856-1866 - [i9]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan:
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. CoRR abs/2402.17810 (2024) - [i8]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan:
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey. CoRR abs/2403.01528 (2024) - [i7]Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu:
FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. CoRR abs/2403.20261 (2024) - [i6]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Rui Yan:
3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization. CoRR abs/2406.05797 (2024) - [i5]Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan:
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. CoRR abs/2407.15202 (2024) - 2023
- [j1]Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu, Rui Yan:
Breaking the barriers of data scarcity in drug-target affinity prediction. Briefings Bioinform. 24(6) (2023) - [c2]Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan:
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. EMNLP 2023: 1102-1123 - [c1]Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan:
FABind: Fast and Accurate Protein-Ligand Binding. NeurIPS 2023 - [i4]Kaiyuan Gao, Sunan He, Zhenyu He, Jiacheng Lin, Qizhi Pei, Jie Shao, Wei Zhang:
Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models. CoRR abs/2308.14149 (2023) - [i3]Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan:
FABind: Fast and Accurate Protein-Ligand Binding. CoRR abs/2310.06763 (2023) - [i2]Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan:
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. CoRR abs/2310.07276 (2023) - 2022
- [i1]Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu:
SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. CoRR abs/2206.09818 (2022)
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