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researcher

Chengyue Gong

4 papers here

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

author position
  • middle author4

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

fields
  • cs.CL2
  • cs.CV1
  • cs.LG1
ORCID 0009-0000-9282-7248
same name
  • Chengyue Gong — 20 papers, h 27
  • Chengyue Gong — 5 papers, h 4
  • Chengyue Gong — 4 papers
  • Chengyue Gong — 1 paper, h 0

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
20212024
most citedFuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

36 citations · 81 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows

Shujian Zhang, Lemeng Wu, Chengyue Gong +1

Recent works have demonstrated success in controlling sentence attributes (e.g., sentiment) and structure (e.g., syntactic structure) based on the diffusion language model. A k…

cs.CL2023★ 26 cited

AutoML-GPT: Automatic Machine Learning with GPT

Shujian Zhang, Chengyue Gong, Lemeng Wu +2

AI tasks encompass a wide range of domains and fields. While numerous AI models have been designed for specific tasks and applications, they often require considerable human effort…

cs.LG2022★ 19 cited

Diffusion-based Molecule Generation with Informative Prior Bridges

Lemeng Wu, Chengyue Gong, Xingchao Liu +2

AI-based molecule generation provides a promising approach to a large area of biomedical sciences and engineering, such as antibody design, hydrolase engineering, or vaccine develo…

cs.CV2021★ 36 cited

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

Xingchao Liu, Chengyue Gong, Lemeng Wu +3

Generating images from natural language instructions is an intriguing yet highly challenging task. We approach text-to-image generation by combining the power of the retrained CLIP…

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