Qizhi Pei (裴启智 in Chinese) is currently a second year Ph.D. student at the ALOHA group of Gaoling School of Artificial Intelligence (GSAI) in Renmin University of China (RUC), supervised by Prof. Rui Yan. He got the B.S. degree from School of Computer Science and Technology, University of Science and Technology of China (USTC) in 2022. He currently is an intern of Microsoft Research AI4Science and a member of AI4Science Research Project, mentored by Dr. Lijun Wu. He also works closely with Dr. Yingce Xia and Kaiyuan Gao.
His researches focus on AI4science, geometric deep learning, and multi-modal learning for biomolecule.
🔥 News
- 2024.04: One paper about docking are submitted to Arxiv.
- 2024.02: Two papers about cross-modal learning for biomolecule are submitted to Arxiv.
- 2023.10: 🎉🎉 One paper accepted by EMNLP 2023. Thanks for all collaborators!
- 2023.10: 🎉🎉 One paper accepted by Briefings in Bioinformatics 2023. Thanks for all collaborators!
- 2023.09: 🎉🎉 One paper accepted by NeurIPS 2023. Thanks for all collaborators!
📝 Publications
FABind: Fast and Accurate Protein-Ligand Binding
Qizhi Pei(co-first author), Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
Project | 
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
Project | 
SSM-DTA: 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
Project |
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
Project |
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
Project |
FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation
Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu
Project |
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
Project |
🎖 Honors and Awards
- 2023 Doctoral Scholarship for Elite Innovative Talents of Renmin University of China (中国人民大学拔尖创新人才).
- 2022, Excellent Graduation Thesis, USTC.
- 2022, Outstanding Undergraduate Awards, USTC.
- 2018~2021, Outstanding Student Scholarship, USTC.
📖 Educations
- 2022.09 - Now, Ph.D. student in the Gaoling School of Artificial Intelligence, Renmin University of China.
- 2018.09 - 2022.06, undergraduate student in the School of Computer Science and Technology, University of Science and Technology of China.
💻 Internships
- 2023.07 - Now, Microsoft Research AI4Science, Beijing, China.
- 2021.07 - 2023.01, Microsoft Research Asia, Beijing, China.