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Yuchen Fang

4 papers hereh-index 4139 citations6 works total

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.LG2
  • cs.CL1
  • cs.CV1
same name
  • Yuchen Fang — 13 papers, h 17
  • Yuchen Fang — 7 papers, h 3
  • Yuchen Fang — 6 papers, h 4
  • Yuchen Fang — 4 papers, h 2
  • Yuchen Fang — 3 papers
  • Yuchen Fang — 3 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
20232025
most citedContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling

19 citations · 19 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Xihe: Scalable Zero-Shot Time Series Learner Via Hierarchical Interleaved Block Attention

Yinbo Sun, Yuchen Fang, Zhibo Zhu +7

The rapid advancement of time series foundation models (TSFMs) has been propelled by migrating architectures from language models. While existing TSFMs demonstrate impressive perfo…

cs.LG2025

Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models

Kun Feng, Shaocheng Lan, Yuchen Fang +6

Inherent temporal heterogeneity, such as varying sampling densities and periodic structures, has posed substantial challenges in zero-shot generalization for Time Series Foundation…

cs.LG2024★ 19 cited

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling

Yuqi Chen, Kan Ren, Yansen Wang +3

Modeling continuous-time dynamics on irregular time series is critical to account for data evolution and correlations that occur continuously. Traditional methods including recurre…

cs.CL2023

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models

Lingyue Fu, Huacan Chai, Shuang Luo +13

With the emergence of Large Language Models (LLMs), there has been a significant improvement in the programming capabilities of models, attracting growing attention from researcher…

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