Research on the Temperature Characteristics of the Photoacoustic Sensor of Glucose Solution. - Wei Tao; Zhiqian Lu; Qiaozhi He; Pengfei Lv; Qian Wang; Hui Zhao 019 (Sensors, 2018)

RecycleGPT: An Autoregressive Language Model with Recyclable Module. - Yufan Jiang; Qiaozhi He; Xiaomin Zhuang; Zhihua Wu; Kunpeng Wang; Wenlai Zhao; Guangwen Yang (CoRR, 2023)

Learning Reliable Neural Networks with Distributed Architecture Representations. - Yinqiao Li; Runzhe Cao; Qiaozhi He; Tong Xiao; Jingbo Zhu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Code Comparison Tuning for Code Large Language Models. - Yufan Jiang; Qiaozhi He; Xiaomin Zhuang; Zhihua Wu (CoRR, 2024)

Efficient LLM Inference with Kcache. - Qiaozhi He; Zhihua Wu (CoRR, 2024)

ChuXin: 1.6B Technical Report. - Xiaomin Zhuang; Yufan Jiang; Qiaozhi He; Zhihua Wu (CoRR, 2024)

Cross-layer Attention Sharing for Large Language Models. - Yongyu Mu; Yuzhang Wu; Yuchun Fan; Chenglong Wang 002; Hengyu Li; Qiaozhi He; Murun Yang; Tong Xiao; Jingbo Zhu (CoRR, 2024)

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. - Chenglong Wang 002; Yang Gan; Yifu Huo; Yongyu Mu; Murun Yang; Qiaozhi He; Tong Xiao; Chunliang Zhang; Tongran Liu; Quan Du; Di Yang; Jingbo Zhu (CoRR, 2024)

Exploring Scaling Laws for Local SGD in Large Language Model Training. - Qiaozhi He; Xiaomin Zhuang; Zhihua Wu (CoRR, 2024)

LRHP: Learning Representations for Human Preferences via Preference Pairs. - Chenglong Wang 002; Yang Gan; Yifu Huo; Yongyu Mu; Qiaozhi He; Murun Yang; Tong Xiao; Chunliang Zhang; Tongran Liu; Jingbo Zhu (CoRR, 2024)

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. - Chenglong Wang 002; Yang Gan; Yifu Huo; Yongyu Mu; Murun Yang; Qiaozhi He; Tong Xiao; Chunliang Zhang; Tongran Liu; Jingbo Zhu (AAAI, 2025)

StickMotion: Generating 3D Human Motions by Drawing a Stickman. - Tao Wang 011; Zhihua Wu; Qiaozhi He; Jiaming Chu; Ling Qian; Yu Cheng 009; Junliang Xing; Jian Zhao 006; Lei Jin 003 (CVPR, 2025)

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models. - Yongyu Mu; Hengyu Li; Junxin Wang; Xiaoxuan Zhou; Chenglong Wang 002; Yingfeng Luo; Qiaozhi He; Tong Xiao; Guocheng Chen; Jingbo Zhu (ICASSP, 2025)

GRAM: A Generative Foundation Reward Model for Reward Generalization. - Chenglong Wang 002; Yang Gan; Yifu Huo; Yongyu Mu; Qiaozhi He; Murun Yang; Bei Li; Tong Xiao; Chunliang Zhang; Tongran Liu; Jingbo Zhu (CoRR, 2025)