GIFT Faculty
Shuangjia Zheng
Assistant Professor, Global Institute of Future Technology, Shanghai Jiao Tong University
Ph.D., Sun Yat-sen University
Visiting Scholar, Massachusetts Institute of Technology
Office Location :208,Global Institute of Future Technology, Shanghai Jiao Tong University
Email :shuangjia.zheng@sjtu.edu.cn
Education

2023,Sun Yat-sen University,Computer Science and Technology,Ph.D

2020,Sun Yat-sen University,Pharmacy,M.S

2017,Southern Medical University,Pharmacy,B.S

Work Experience

2023-Pres.,Global Institute of Future Technology, SJTU,Tenured assistant professor

2023-Pres.,Massachusetts Institute of Technology,Visiting scholar

2020-2023,Star Medicine Technology,Vice President

Research Fields

Intelligent drug design

Intelligent synthetic biology

Multimodal generative modeling

Knowledge graph representation learning

Selected Publications (10 selected in last 3 years)

W. Lu, J. Zhang, W. Huang, Z. Zhang, X. Jia, Z. Wang, L. Shi, C. Li, P. Wolynes. S. Zheng*. DynamicBind: predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model. Nature Communications. 2024.

S . Zheng*, J. Rao, C. Li, J. Zhang, Y. Yang, L. Zhou, E. Cohen, W. Lu, Y. Yang†. Cross-modal Graph Contrastive Learning with Cellular Images[J]. Advanced Science. 2024.

J. Rao, J. Xie, Q. Yuan, D. Liu, Z. Wang, Y. Lu, S. Zheng*, Y. Yang*. A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions. Nature Communications. 2024.

M. Li, X. Liu, H. Ji, S. Zheng*. Causal Subgraph Learning for Generalizable Inductive Relation Prediction. SIGKDD. 2024 (CCF-A)

S. Zheng, Y. Tan, Z. Wang, C. Li, Z. Zhang, X. Sang, H. Chen, Y. Yang. Accelerated rational PROTAC design via deep learning and molecular simulations[J]. Nature Machine Intelligence. 2022.

S. Zheng, T. Zeng, C. Li, B. Chen, C. W. Coley, Y. Yang, R. Wu. Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP[J]. Nature Communications. 2022.

S. Zheng, Y Li, S. Chen, J. Xu, Y. Yang. Predicting Drug Protein Interaction using Quasi-Visual Question Answering System[J]. Nature Machine Intelligence. 2020.

W. Lu, Q. Wu, J. Zhang, J. Rao, C. Li, S. Zheng*. TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction[C]. NeurIPS. 2022. (CCF-A)

C. Xie, X. Zhuang, Z. Niu, R. Ai, S. Lautrup, S. Zheng, et al. Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow[J]. Nature Biomedical Engineering, 2022.

S.Zheng, J. Rao, Y. Song, J. Zhang, X. Xiao, F. Fang, Y Yang, Z.Niu. PharmKG: A Dedicated Knowledge Graph Benchmark for Biomedical Data Mining[J]. Briefings in Bioinformatics. 2021.

Course Taught (Recent 5 Years)

Deep Learning

Bioinformatics