Junkai Ji（吉君恺）
Scholar

Junkai Ji（吉君恺）

Google Scholar ID: jLfhEGcAAAAJ
Professor (Assistant), Shenzhen University
AI for Drug DesignNeural networkOptimization
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Citations & Impact
All-time
Citations
1,632
 
H-index
23
 
i10-index
39
 
Publications
20
 
Co-authors
0
 
Contact
Emailjijunkai@szu.edu.cnGitHubOpen ↗
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Research projects include Autodock Koto (a powerful molecular docking model based on evolutionary computation), Dockformer (deep learning-based molecular docking model), Hodor (molecule generation model based on deep reinforcement learning), Retrosynthetic (AI-Driven: Mapping Complex Targets to Purchasable Precursors), Drug Design Agent (FROGENT: An End-to-End Full-process Drug Design Agent), and Dendritic neural model (the fastest machine learning technique).
Research Experience
  • Assistant Professor at the College of Artificial Intelligence, Shenzhen University, leading the Artificial Intelligence Drug Design Research Group (ADDG).
Background
  • Committed to developing advanced artificial intelligence techniques to speed up drug development and reduce costs. Research topics include Drug generation, Molecular docking, Retrosynthesis, Target discovery, and Full-process drug design agent. Also interested in Neuromorphic computing and Recommendation systems.
Miscellany
  • The research group can be followed on GitHub and WeChat.
Co-authors
0 total
Co-authors: 0 (list not available)