Qizhi Pei

According to our database, Qizhi Pei authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates.

Kaiyuan Gao, Yusong Wang, Haoxiang Guan, Zun Wang, Qizhi Pei, John E. Hopcroft, Kun He, Lijun Wu

CoRR, 2024

3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Rui Yan

CoRR, 2024

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation.

Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu

CoRR, 2024

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan

CoRR, 2024

Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors.

Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Breaking the barriers of data scarcity in drug-target affinity prediction.

Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu, Rui Yan

Briefings Bioinform., September, 2023

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models.

Kaiyuan Gao, Sunan He, Zhenyu He, Jiacheng Lin, Qizhi Pei, Jie Shao, Wei Zhang

CoRR, 2023

FABind: Fast and Accurate Protein-Ligand Binding.

Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations.

Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training.

Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu

CoRR, 2022