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researcher

Siyu Li

7 papers hereh-index 5205 citations12 works total

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

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.CL2
  • cs.AI1
  • eess.IV1
same name
  • Siyu Li — 21 papers, h 12
  • Siyu Li — 15 papers, h 13
  • Siyu Li — 12 papers, h 7
  • Siyu Li — 12 papers, h 4
  • Siyu Li — 5 papers, h 1
  • Siyu Li — 4 papers, 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
20242026
most citedProposing and solving olympiad geometry with guided tree search

1 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.AI2024★ 1 cited

Proposing and solving olympiad geometry with guided tree search

Chi Zhang, Jiajun Song, Siyu Li +5

Mathematics olympiads are prestigious competitions, with problem proposing and solving highly honored. Building artificial intelligence that proposes and solves olympiads presents…

cs.CV2024

Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis

Bohan Zeng, Ling Yang, Siyu Li +9

Recent advances in diffusion models have demonstrated exceptional capabilities in image and video generation, further improving the effectiveness of 4D synthesis. Existing 4D gener…

cs.CL2024

MIO: A Foundation Model on Multimodal Tokens

Zekun Wang, King Zhu, Chunpu Xu +14

In this paper, we introduce MIO, a novel foundation model built on multimodal tokens, capable of understanding and generating speech, text, images, and videos in an end-to-end, aut…

cs.CV2024

ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions

Honglin Lin, Siyu Li, Guoshun Nan +8

Image retrieval from contextual descriptions (IRCD) aims to identify an image within a set of minimally contrastive candidates based on linguistically complex text. Despite the suc…

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