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researcher

Haoran Sun

4 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CV1
  • cs.RO1
ORCID 0000-0003-4216-5009
same name
  • Haoran Sun — 9 papers
  • Haoran Sun — 5 papers
  • Haoran Sun — 2 papers
  • Haoran Sun — 2 papers
  • Haoran Sun — 2 papers
  • Haoran Sun — 2 papers

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 citedNTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2025

One-DoF Robotic Design of Overconstrained Limbs with Energy-Efficient, Self-Collision-Free Motion

Yuping Gu, Bangchao Huang, Haoran Sun +6

While it is expected to build robotic limbs with multiple degrees of freedom (DoF) inspired by nature, a single DoF design remains fundamental, providing benefits that include, but…

cs.AI2025

An Uncertainty-Driven Adaptive Self-Alignment Framework for Large Language Models

Haoran Sun, Zekun Zhang, Shaoning Zeng

Large Language Models (LLMs) have demonstrated remarkable progress in instruction following and general-purpose reasoning. However, achieving high-quality alignment with human inte…

cs.AI2025

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind

Mouad Abrini, Omri Abend, Dina Acklin +105

This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…

cs.CV2025★ 1 cited

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

Yuqian Fu, Xingyu Qiu, Bin Ren +59

Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains. In conjunction…

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