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researcher

Chao Shen

3 papers here

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

author position
  • middle author2
  • last author1

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

fields
  • q-bio.BM2
  • cs.CV1
ORCID 0000-0003-2783-5529
same name
  • Chao Shen — 16 papers, h 23
  • Chao Shen — 10 papers
  • Chao Shen — 7 papers
  • Chao Shen — 6 papers
  • Chao Shen — 4 papers, h 24
  • Chao Shen — 4 papers

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 citedDelete: Deep Lead Optimization Enveloped in Protein Pocket through Unified Deleting Strategies and a Structure-aware Network

3 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model

Yingmao Miao, Zhanpeng Huang, Rui Han +3

While virtual try-on for clothes and shoes with diffusion models has gained attraction, virtual try-on for ornaments, such as bracelets, rings, earrings, and necklaces, remains lar…

q-bio.BM2024★ 2 cited

Token-Mol 1.0: Tokenized drug design with large language model

Jike Wang, Rui Qin, Mingyang Wang +17

Significant interests have recently risen in leveraging sequence-based large language models (LLMs) for drug design. However, most current applications of LLMs in drug discovery la…

q-bio.BM2023★ 3 cited

Delete: Deep Lead Optimization Enveloped in Protein Pocket through Unified Deleting Strategies and a Structure-aware Network

Haotian Zhang, Huifeng Zhao, Xujun Zhang +10

Drug discovery is a highly complicated process, and it is unfeasible to fully commit it to the recently developed molecular generation methods. Deep learning-based lead optimizatio…

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