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Mengdi Wang

4 papers hereh-index 440 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • q-bio.BM1
  • q-bio.QM1
same name
  • Mengdi Wang — 62 papers, h 37
  • Mengdi Wang — 29 papers, h 13
  • Mengdi Wang — 26 papers, h 11
  • Mengdi Wang — 14 papers, h 8
  • Mengdi Wang — 13 papers, h 11
  • Mengdi Wang — 13 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedGeometric Deep Learning for Structure-Based Drug Design: A Survey

6 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025★ 2 cited

LabOS: The AI-XR Co-Scientist That Sees and Works With Humans

Le Cong, David Smerkous, Xiaotong Wang +30

Modern science advances fastest when thought meets action. LabOS represents the first AI co-scientist that unites computational reasoning with physical experimentation through mult…

cs.LG2025★ 3 cited

PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking

Yize Jiang, Xinze Li, Yuanyuan Zhang +13

Existing protein-ligand docking studies typically focus on the self-docking scenario, which is less practical in real applications. Moreover, some studies involve heavy frameworks…

q-bio.BM2024★ 2 cited

FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling

Zaixi Zhang, Mengdi Wang, Qi Liu

Structure-based drug design (SBDD), which aims to generate 3D ligand molecules binding to target proteins, is a fundamental task in drug discovery. Existing SBDD methods typically…

q-bio.QM2023★ 6 cited

Geometric Deep Learning for Structure-Based Drug Design: A Survey

Zaixi Zhang, Jiaxian Yan, Yining Huang +4

Structure-based drug design (SBDD) leverages the three-dimensional geometry of proteins to identify potential drug candidates. Traditional approaches, rooted in physicochemical mod…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.