Yanru Qu
Scholar

Yanru Qu

Google Scholar ID: W-o1VXEAAAAJ
University of Illinois, Urbana-Champaign
AI4Sciencenatural language processingrecommender system
Citations & Impact
All-time
Citations
3,382
 
H-index
16
 
i10-index
18
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Published several papers, including 'MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space' (ICML'24), 'Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks' (ICLR'24 oral), 'Dynamically Fused Graph Network for Multi-hop Reasoning' (ACL'19 oral), and others.
Research Experience
  • Looking for summer internship in 2025! Participated in multiple projects, such as Bayesian Flow Networks for Structure-Based Drug Design (2023-2024, GenSI Lab, Tsinghua AIR) and Multi-hop Reasoning for Question Answering (2018-2019, APEX Lab, SJTU, and ByteDance AI Lab, Shanghai).
Education
  • Ph.D. in Computer Science at the University of Illinois, Urbana-Champaign, advised by Prof. Jiaxuan You, Prof. Ge Liu, and Prof. Jiawei Han; Bachelor's and Master's degrees from Shanghai Jiao Tong University, APEX lab, supervised by Prof. Yong Yu and Prof. Weinan Zhang.
Background
  • Research interests lie in the general area of machine learning, especially their applications in AI4Science, natural language processing, and recommender systems, with a wish to push the limit of scientific discovery, as well as build more accessible intelligent systems for academia, industry, and even society.
Miscellany
  • Personal interests and other information not detailed.