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Zhenqiao Song

10 papers hereh-index 10465 citations20 works total

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

author position
  • first author7
  • middle author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CL3
  • q-bio.BM2
same name
  • Zhenqiao Song — 2 papers, h 2
  • Zhenqiao Song — 2 papers, h 4

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
20212025
most citedINSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback

4 citations · 14 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.LG2023★ 1 cited

Joint Design of Protein Sequence and Structure based on Motifs

Zhenqiao Song, Yunlong Zhao, Yufei Song +3

Designing novel proteins with desired functions is crucial in biology and chemistry. However, most existing work focus on protein sequence design, leaving protein sequence and stru…

cs.LG2023

Functional Geometry Guided Protein Sequence and Backbone Structure Co-Design

Zhenqiao Song, Yunlong Zhao, Wenxian Shi +2

Proteins are macromolecules responsible for essential functions in almost all living organisms. Designing reasonable proteins with desired functions is crucial. A protein's sequenc…

cs.CL2023★ 4 cited

INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback

Wenda Xu, Danqing Wang, Liangming Pan +4

Automatically evaluating the quality of language generation is critical. Although recent learned metrics show high correlation with human judgement, these metrics can not explain t…

q-bio.BM2023★ 1 cited

Importance Weighted Expectation-Maximization for Protein Sequence Design

Zhenqiao Song, Lei Li

Designing protein sequences with desired biological function is crucial in biology and chemistry. Recent machine learning methods use a surrogate sequence-function model to replace…

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