Publications

You can also find my articles on my Google Scholar profile.

Conference Papers


GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning

Published in arXiv preprint, 2025

We propose GenPRM, a method for scaling test-time compute of process reward models via generative reasoning.

Recommended citation: Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou. (2025). "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning." arXiv preprint arXiv:2505.15825.
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TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models

Published in Under Review, 2025

We propose a method of reuse of visual features that can enhance the basic performance of VLA models without incurring additional training costs.

Recommended citation: Chenghao Liu, Jiachen Zhang, Chengxuan Li, Zhimu Zhou, Songfang Huang, Huiling Duan. (2025). "TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models." Under Review. (Fourth Author)
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MSNav: Zero-Shot Vision-and-Language Navigation with Dynamic Memory and Feature Enhancement

Published in Under Review, 2025

We propose MSNav, a modular framework with dynamic topological memory and spatial capabilities for zero-shot vision-and-language navigation.

Recommended citation: Chenghao Liu*, Zhimu Zhou*, Jiachen Zhang, Minghao Zhang, Songfang Huang, Huiling Duan. (2025). "MSNav: Zero-Shot Vision-and-Language Navigation with Dynamic Memory and Feature Enhancement." Under Review. (*Co-first Author, randomly ordered by dice rolling)
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