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Tianyu Zhang

10 papers hereh-index 9197 citations14 works total

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

author position
  • first author3
  • middle author6

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV3
  • cs.CL2
  • cs.SD1
same name
  • Tianyu Zhang — 12 papers, h 6
  • Tianyu Zhang — 11 papers, h 13
  • Tianyu Zhang — 8 papers, h 10
  • Tianyu Zhang — 8 papers, h 5
  • Tianyu Zhang — 6 papers, h 6
  • Tianyu Zhang — 6 papers, h 3

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 citedMuPT: A Generative Symbolic Music Pretrained Transformer

3 citations · 6 across the 10 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025

STRICT: Stress Test of Rendering Images Containing Text

Tianyu Zhang, Xinyu Wang, Lu Li +5

While diffusion models have revolutionized text-to-image generation with their ability to synthesize realistic and diverse scenes, they continue to struggle to generate consistent…

cs.LG2024★ 1 cited

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks

Juan Rodriguez, Xiangru Jian, Siba Smarak Panigrahi +40

Multimodal AI has the potential to significantly enhance document-understanding tasks, such as processing receipts, understanding workflows, extracting data from documents, and sum…

cs.LG2024

MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation

Lu Li, Tianyu Zhang, Zhiqi Bu +7

Model merging has emerged as an effective approach to combine multiple single-task models into a multitask model. This process typically involves computing a weighted average of th…

cs.LG2023

Expected flow networks in stochastic environments and two-player zero-sum games

Marco Jiralerspong, Bilun Sun, Danilo Vucetic +4

Generative flow networks (GFlowNets) are sequential sampling models trained to match a given distribution. GFlowNets have been successfully applied to various structured object gen…

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