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Shuai Chen

10 papers hereh-index 326 citations12 works total

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

author position
  • first author1
  • middle author6
  • last author2

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

fields
  • cs.AI4
  • cs.CL3
  • cs.CV1
  • cs.GR1
  • cs.RO1
same name
  • Shuai Chen — 4 papers, h 3
  • Shuai Chen — 4 papers, h 2
  • Shuai Chen — 4 papers, h 2
  • Shuai Chen — 3 papers, h 3
  • Shuai Chen — 2 papers, h 7
  • Shuai Chen — 2 papers, 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

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management

Renqi Chen, Zeyin Tao, Jianming Guo +6

Graphical User Interface (GUI) agents show strong capabilities for automating web tasks, but existing interactive benchmarks primarily target benign, predictable consumer environme…

cs.AI2026

RISK: A Framework for GUI Agents in E-commerce Risk Management

Renqi Chen, Zeyin Tao, Jianming Guo +5

E-commerce risk management requires aggregating diverse, deeply embedded web data through multi-step, stateful interactions, which traditional scraping methods and most existing Gr…

cs.AI2025

DaGRPO: Rectifying Gradient Conflict in Reasoning via Distinctiveness-Aware Group Relative Policy Optimization

Xuan Xie, Xuan Wang, Wenjie Wang +2

The evolution of Large Language Models (LLMs) has catalyzed a paradigm shift from superficial instruction following to rigorous long-horizon reasoning. While Group Relative Policy…

cs.AI2025

ACPO: Adaptive Curriculum Policy Optimization for Aligning Vision-Language Models in Complex Reasoning

Yunhao Wang, Ziting Li, Shuai Chen +6

Aligning large-scale vision-language models (VLMs) for complex reasoning via reinforcement learning is often hampered by the limitations of existing policy optimization algorithms,…

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