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Siyuan Jiang

4 papers hereh-index 24 citations4 works total

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.CV2
  • stat.ML2
same name
  • Siyuan Jiang — 7 papers, h 12
  • Siyuan Jiang — 4 papers, h 4
  • Siyuan Jiang — 2 papers, h 2
  • Siyuan Jiang — 1 paper
  • Siyuan Jiang — 1 paper, h 1

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

most citedDeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

SoccerNet 2026 Challenges Results

Anthony Cioppa, Silvio Giancola, Håkan Ardö +102

The SoccerNet 2026 Challenges constitute the sixth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in sports video underst…

stat.ML2026

NeuralFLoC: Neural Flow-Based Joint Registration and Clustering of Functional Data

Xinyang Xiong, Siyuan jiang, Pengcheng Zeng

Clustering functional data in the presence of phase variation is challenging, as temporal misalignment can obscure intrinsic shape differences and degrade clustering performance. M…

stat.ML2025

Adaptively Truncated Signature-based Logistic Regression for Semi-parametric Functional Classification

Pengcheng Zeng, Siyuan Jiang

Modern sensing technologies routinely generate multi-dimensional functional data, often accompanied by scalar covariates, motivating statistical methods that can jointly accommodat…

cs.CV2025★ 2 cited

DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification

Siyuan Jiang, Yihan Hu, Wenjie Li +1

Functional data, representing curves or trajectories, are ubiquitous in fields like biomedicine and motion analysis. A fundamental challenge is phase variability -- temporal misali…

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