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Home/Authors/Qi Zhou

Qi Zhou

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×2NLP×2Robotics×1AI×1Multiagent×1Systems and Control×1

Frequent co-authors

Yuanfan Li2×
Martin Schuck1×
Marcel P. Rath1×
Yufei Hua1×
AbhisheK Goudar1×
SiQi Zhou1×

Research Timeline

2026
MGTEVAL: An Interactive Platform for Systemtic Evaluation of Machine-Generated Text Detectors

The paper introduces MGTEVAL, a comprehensive and extensible platform designed to systematically evaluate the performance, robustness, and efficiency of machine-generated text detectors.

Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training

The paper proposes REACT, an adversarial training framework that significantly enhances the robustness and few-shot performance of machine-generated text detection by having a Retrieval-Augmented Generation (RAG)-powered attacker co-evolve with the detector.

Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX

Crazyflow is a novel, highly accelerated, and differentiable drone simulator that provides a unified platform for generating large-scale synthetic data for aerial robotics, enabling advanced training paradigms like in-flight reinforcement learning.

Highlighted terms show continued research focus across papers

Papers

cs.ROcs.AIcs.MARecentMay 31, 2026

Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX

Martin Schuck, Marcel P. Rath, Yufei Hua, AbhisheK Goudar +2 more

Crazyflow is a novel, highly accelerated, and differentiable drone simulator that provides a unified platform for generating large-scale synthetic data for aerial robotics, enabling advanced training…

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cs.CRcs.CLRecentMay 4, 2026

Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training

Wenjing Duan, Qi Zhou, Yuanfan Li

The paper proposes REACT, an adversarial training framework that significantly enhances the robustness and few-shot performance of machine-generated text detection by having a Retrieval-Augmented Gene…

View →
cs.CRcs.CLRecentApr 28, 2026

MGTEVAL: An Interactive Platform for Systemtic Evaluation of Machine-Generated Text Detectors

Yuanfan Li, Qi Zhou, Chengzhengxu Li, Zhaohan Zhang +4 more

The paper introduces MGTEVAL, a comprehensive and extensible platform designed to systematically evaluate the performance, robustness, and efficiency of machine-generated text detectors.

View →