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Ruoyu Wang

16 papers hereh-index 662 citations25 works total

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

author position
  • first author8
  • middle author8

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.AI4
  • cs.CV2
  • cs.RO2
  • cs.SE2
  • cs.CL1
same name
  • Ruoyu Wang — 11 papers, h 6
  • Ruoyu Wang — 10 papers, h 6
  • Ruoyu Wang — 9 papers, h 6
  • Ruoyu Wang — 8 papers, h 3
  • Ruoyu Wang — 7 papers, h 24
  • Ruoyu Wang — 7 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
20242026
most citedCausality-Aware Transformer Networks for Robotic Navigation

1 citations · 3 across the 15 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.SE2026

SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review

Ruoyu Wang, Jierun Chen, Shaowei Wang +7

Coding agents increasingly generate pull requests (PRs) for real-world software issues, yet one-shot PR generation remains open-loop: the PR is proposed without systematic review,…

cs.AI2026

What Makes Interaction Trajectories Effective for Training Terminal Agents?

Sidi Yang, Chaofan Tao, Jierun Chen +11

Stronger code agents are commonly assumed to be superior teachers for post-training, yet this assumption remains poorly disentangled from task difficulty, harness design, and stude…

cs.CV2026

Learning to Retrieve Navigable Candidates for Efficient Vision-and-Language Navigation

Shutian Gu, Chengkai Huang, Ruoyu Wang +1

Vision-and-Language Navigation (VLN) requires an agent to follow natural-language instructions and navigate through previously unseen environments. Recent approaches increasingly e…

cs.SE2026

SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving

Chaofan Tao, Jierun Chen, Yuxin Jiang +11

We present SWE-Lego, a supervised fine-tuning (SFT) recipe designed to achieve state-ofthe-art performance in software engineering (SWE) issue resolving. In contrast to prevalent m…

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