Zherui Qiu — accepted AI-conference papers

2026

InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policy

Yang Tian, Yuyin Yang, Yiman Xie, Zetao Cai, Xu Shi, Ning Gao +10

CVPR 2026

Recent work explores how real and synthetic data contribute to VLA model generalization. While the \pi-series model has shown the strong effectiveness of large-scale real-robot pre-training, synthetic data has not previously demonstrated comparable capability at scale.This paper provides the first e

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2020

Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method

Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang

NeurIPS 2020poster

Many recent reinforcement learning (RL) methods learn stochastic policies with entropy regularization for exploration and robustness. However, in continuous action spaces, integrating entropy regularization with expressive policies is challenging and usually requires complex inference procedures. To…

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