Jian Tang (唐建)
Scholar

Jian Tang (唐建)

Google Scholar ID: 1ir6WUEAAAAJ
Associate Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI Chair
Generative AIAI for molecule/protein designAI for genomics
Citations & Impact
All-time
Citations
27,802
 
H-index
57
 
i10-index
115
 
Publications
20
 
Co-authors
27
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Multiple papers accepted at top conferences: 3 at ICLR 2022, 5 at NeurIPS 2021, 4 at ICML 2021, and 3 at ICLR 2021
  • Co-authored paper “Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data” with Prof. Yue Li (McGill University) published in Nature Communications
  • Led the development of TorchDrug, a machine learning platform for drug discovery
  • Awarded a grant from IBM/Mila collaboration for “Pretraining molecular and protein representation with 3D structures” (Oct. 2021)
  • Served as Area Chair for NeurIPS 2021 and AKBC 2021
  • Delivered invited talks at ByteDance, Samsung, Tsinghua University, Yale University, University of Texas, and workshops at AAAI, ICLR, etc., on topics including geometric deep learning, graph representation learning, generative models, and knowledge graph reasoning