Scholar
Guojiang Zhao
Google Scholar ID: uuqNt9cAAAAJ
DP Technology; Carnegie Mellon University;
Citations & Impact
Citations
179
H-index
9
i10-index
9
Publications
19
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted by npj Computational Materials, Journal of Chemical Information and Modeling, ICLR, and other journals and conferences. Specific publications include:
- - MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs
- - Virtual Characterization via Knowledge-Enhanced Representation Learning: from Organic Conjugated Molecules to Devices
- - Data-Driven Parametrization of All-Atom Force Fields for Organic Semiconductors
- - FAST AND FLEXIBLE 3D MOLECULE DESIGN FRAMEWORK FOR NOVEL ORGANIC OPTOELECTRONIC MATERIALS
- - CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
Research Experience
- Currently working at DP Technology, mentored by Zhifeng Gao and Guolin Ke. Previously, gained industry research experience through internships at WeChat (Tencent) and Huawei.
Education
- Received an M.S. in Information Systems Management from Carnegie Mellon University in 2023; B.S. in Information and Computing Science (Mathematics track) from Xi’an University of Posts and Telecommunications (XUPT), ranked first in his major; had visiting research experiences at the National University of Singapore (NUS) and the Stan Z. Li Lab at Westlake University.
Background
- Research interests include molecular design, large language model (LLM) reasoning, and self-evolving agents. Broadly, his interests lie in AI for Science (AI4S), particularly in molecular and materials generation, virtual characterization, and property prediction. Currently exploring LLM-driven reasoning frameworks and multi-agent systems to advance intelligent scientific discovery and molecular design.
Miscellany
- Email: cody545487677@gmail.com (Preferred); guojianz@alumni.cmu.edu; zhaogj@dp.tech
