Zhou, Hongyi

20 publications

NeurIPS 2025 AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees Hongyi Zhou, Jin Zhu, Pingfan Su, Kai Ye, Ying Yang, Shakeel Gavioli-Akilagun, Chengchun Shi

NeurIPS 2025 BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning Hongyi Zhou, Weiran Liao, Xi Huang, Yucheng Tang, Fabian Otto, Xiaogang Jia, Xinkai Jiang, Simon Hilber, Ge Li, Qian Wang, Ömer Erdinç Yağmurlu, Nils Blank, Moritz Reuss, Rudolf Lioutikov

ICML 2025 Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Jin Zhu, Jingyi Li, Hongyi Zhou, Yinan Lin, Zhenhua Lin, Chengchun Shi

ICML 2025 Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation Hongyi Zhou, Josiah P. Hanna, Jin Zhu, Ying Yang, Chengchun Shi

NeurIPS 2025 Doubly Robust Alignment for Large Language Models Erhan Xu, Kai Ye, Hongyi Zhou, Luhan Zhu, Francesco Quinzan, Chengchun Shi

ICLRW 2025 FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies Moritz Reuss, Hongyi Zhou, Marcel Rühle, Ömer Erdinç Yağmurlu, Fabian Otto, Rudolf Lioutikov

CoRL 2025 FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Flow Models Moritz Reuss, Hongyi Zhou, Marcel Rühle, Ömer Erdinç Yağmurlu, Fabian Otto, Rudolf Lioutikov

NeurIPS 2025 Finite Sample Analyses for Continuous-Time Linear Systems: System Identification and Online Control Hongyi Zhou, Jingwei Li, Jingzhao Zhang

CoRL 2025 IRIS: An Immersive Robot Interaction System Xinkai Jiang, Qihao Yuan, Enes Ulas Dincer, Hongyi Zhou, Ge Li, Xueyin Li, Xiaogang Jia, Timo Schnizer, Nicolas Schreiber, Weiran Liao, Julius Haag, Kailai Li, Gerhard Neumann, Rudolf Lioutikov

ICCV 2025 MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos Hongyi Zhou, Yulan Guo, Xiaogang Wang, Kai Xu

NeurIPS 2025 PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning Xiaogang Jia, Qian Wang, Anrui Wang, Han A. Wang, Balázs Gyenes, Emiliyan Gospodinov, Xinkai Jiang, Ge Li, Hongyi Zhou, Weiran Liao, Xi Huang, Maximilian Beck, Moritz Reuss, Rudolf Lioutikov, Gerhard Neumann

ICLR 2025 TOP-ERL: Transformer-Based Off-Policy Episodic Reinforcement Learning Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann

ICLRW 2025 TOP-ERL: Transformer-Based Off-Policy Episodic Reinforcement Learning Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann

ICLRW 2025 Towards Fusing Point Cloud and Visual Representations for Imitation Learning Atalay Donat, Xiaogang Jia, Xi Huang, Aleksandar Taranovic, Denis Blessing, Ge Li, Hongyi Zhou, Hanyi Zhang, Rudolf Lioutikov, Gerhard Neumann

ICLRW 2025 X-IL: Exploring the Design Space of Imitation Learning Policies Xiaogang Jia, Atalay Donat, Xi Huang, Xuan Zhao, Denis Blessing, Hongyi Zhou, Hanyi Zhang, Han A. Wang, Qian Wang, Rudolf Lioutikov, Gerhard Neumann

NeurIPS 2024 A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-World Robotics Puze Liu, Jonas Günster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou-Ammar, Julius Jankowski, Ante Marić, Sylvain Calinon, Andrej Orsula, Miguel Olivares-Mendez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan Peters

CoRL 2024 MaIL: Improving Imitation Learning with Selective State Space Models Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

ICLR 2024 Open the Black Box: Step-Based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann

NeurIPS 2024 Variational Distillation of Diffusion Policies into Mixture of Experts Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

CoRL 2022 Deep Black-Box Reinforcement Learning with Movement Primitives Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Vien Anh Ngo, Gerhard Neumann