论文

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会议论文


Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding

发表信息: European Conference on Computer Vision (ECCV), 2026

通过记忆引导的关键帧选择,实现无需训练的长视频理解。

参考引用: Linghao Meng, Qiankun Li, Junyuan Mao, Pujin Liao, Zhicheng He, Enbo Zhang, Kun Wang, Yang Liu, Huazhu Fu, Yueming Jin. (2026). "Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding." European Conference on Computer Vision, Pages 588-606.
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Granulon: Awakening Pixel-Level Visual Encoders with Adaptive Multi-Granularity Semantics for MLLM

发表信息: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

根据文本语境自适应调整视觉特征粒度的多模态大语言模型方法。

参考引用: Junyuan Mao, Qiankun Li, Linghao Meng, Zhicheng He, Xinliang Zhou, Kun Wang, Yang Liu, Yueming Jin. (2026). "Granulon: Awakening Pixel-Level Visual Encoders with Adaptive Multi-Granularity Semantics for MLLM." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Pages 26317-26327.
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SSSI: Self-prompted Segmentation of Scientific Illustrations

发表信息: International Conference on Document Analysis and Recognition (ICDAR), 2025

基于 SAM 的自提示方法,用于科学插图分割。

参考引用: Tuo Wang, Yixiao Zhou, Tongwei Zhang, Zhicheng He, Yumeng Zhao, Xiaoqing Lyu. (2025). "SSSI: Self-prompted Segmentation of Scientific Illustrations." International Conference on Document Analysis and Recognition, Pages 347-361.
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Multimodal Content Alignment with LLM for Visual Presentation of Papers

发表信息: International Conference on Document Analysis and Recognition (ICDAR), 2025

通过多模态内容对齐,将学术论文转化为视觉演示文稿。

参考引用: Huiying Hu, Zhicheng He, Yixiao Zhou, Tongwei Zhang, Xiaoqing Lyu. (2025). "Multimodal Content Alignment with LLM for Visual Presentation of Papers." International Conference on Document Analysis and Recognition, Pages 238-256.
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Graph Matching Based Graph Self-Supervised Learning for Molecular Property Prediction

发表信息: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024

利用图匹配构建图自监督学习框架,用于分子性质预测。

参考引用: Hongxiang Lin, Yixiao Zhou, Huiying Hu, Zhicheng He, Runzhi Wu, Xiaoqing Lyu. (2024). "Graph Matching Based Graph Self-Supervised Learning for Molecular Property Prediction." 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Pages 7092-7094.
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Endouic: Promptable diffusion transformer for unified illumination correction in capsule endoscopy

发表信息: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024

基于可提示扩散 Transformer,实现胶囊内镜图像的统一光照校正。

参考引用: Long Bai, Tong Chen, Qiaozhi Tan, Wan Jun Nah, Yanheng Li, Zhicheng He, Sishen Yuan, Zhen Chen, Jinlin Wu, Mobarakol Islam, Zhen Li, Hongbin Liu, Hongliang Ren. (2024). "Endouic: Promptable diffusion transformer for unified illumination correction in capsule endoscopy." International Conference on Medical Image Computing and Computer-Assisted Intervention, Pages 296-306.
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期刊论文


Morphological Decoupling-Based Skeletal Classification for Clinical Assessment of Malocclusion

发表信息: Biocybernetics and Biomedical Engineering, 2026

基于 CBCT 和图神经网络的骨骼分类框架,用于错颌畸形临床评估。

参考引用: Zhichun Jin*, Zhicheng He*, Hao Xu, Dongyang Li, Lin Wang, Hongliang Ren, Long Bai. (2026). "Morphological Decoupling-Based Skeletal Classification for Clinical Assessment of Malocclusion." Biocybernetics and Biomedical Engineering, 46(4), Pages 650-660.
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Scalable next-scale autoregression for medical image generation across anatomical regions

发表信息: arXiv preprint arXiv:2602.14512 (v3), 2026

基于下一尺度自回归的医学图像生成基础模型,覆盖六个解剖区域的 CT 和 MRI 图像。

参考引用: Zhicheng He, Yunpeng Zhao, Junde Wu, Ziwei Niu, Ziyue Wang, Bohan Li, Zijun Li, Lanfen Lin, Nan Liu, Yueming Jin. (2026). "Scalable next-scale autoregression for medical image generation across anatomical regions." arXiv preprint arXiv:2602.14512 (v3).
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Deep Learning-Based Detection of Impacted Teeth on Panoramic Radiographs

发表信息: Biomedical Engineering and Computational Biology, 2024

微调 MedSAM 进行全景 X 光片中的阻生牙分割,辅助牙科诊断。

参考引用: He Zhicheng, Wang Yipeng, Li Xiao. (2024). "Deep Learning-Based Detection of Impacted Teeth on Panoramic Radiographs." Biomedical Engineering and Computational Biology, 15, 11795972241288319.
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Transformer-based visual question answering model comparison

发表信息: Journal of Physics: Conference Series, 2023

比较 LXMERT 和 UNITER 等基于 Transformer 的模型在视觉问答任务中的表现。

参考引用: Zhicheng He, Yuanzhi Li, Dingming Zhang. (2023). "Transformer-based visual question answering model comparison." Journal of Physics: Conference Series, 2646(1), 012031.
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