Liu, Huanyu

7 publications

ICLR 2026 Detecting Data Contamination from Reinforcement Learning Post-Training for Large Language Models Yongding Tao, Tian Wang, Yihong Dong, Huanyu Liu, Kechi Zhang, Hu XiaoLong, Ge Li

AAAI 2025 Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency Haipeng Guo, Huanyu Liu, Jiazheng Wen, Junbao Li

NeurIPS 2025 Reasoning Is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Lecheng Wang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei

NeurIPS 2025 SATURN: SAT-Based Reinforcement Learning to Unleash LLMs Reasoning Huanyu Liu, Ge Li, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong

ACML 2024 Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining Sisi Fu, Zhiming Chen, Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Huosheng Wen, Bingzhi Chen

CVPR 2020 High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun

CVPR 2019 An End-to-End Network for Panoptic Segmentation Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang