时增林

个人信息Personal Information

教授

博士生导师

硕士生导师

教师英文名称:Shi Zenglin

教师拼音名称:Shi Zenglin

电子邮箱:

所在单位:计算机与信息学院

职务:Professor

学历:博士研究生毕业

性别:男

学位:博士学位

在职信息:在职

毕业院校:荷兰阿姆斯特丹大学

学科:计算机科学与技术其他专业

其他联系方式Other Contact Information

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个人简介Personal Profile

时增林,男,博士,合肥工业大学计算机与信息学院教授、博士生导师,国家级青年人才。2022年4月博士毕业于荷兰阿姆斯特丹大学。2022年7月至2023年12月在新加坡科技研究局任研究科学家。主要从事深度学习、计算机视觉和机器学习领域的研究。当前研究主要围绕自适应机器学习(Adaptive Machine Learning)和多模态大模型(Multimodal Large Language Models),特别聚焦于可持续学习(Continual Learning)、测试时自适应学习(Test-Time Adaptation)、提示学习 (Prompt-based Learning)、指令微调 (Instruction Tuning)、上下文环境学习(In-Context Learning)等具体研究方向。已发表学术论文25篇 (其中第一作者或共同第一作者12篇),包括TPAMI, IJCV, TIP, CVPR, ICCV, MICCAI等领域内顶级期刊和顶级会议,谷歌学术总引用1100余次。


代表性论文:

  1. [1] Zenglin Shi, Pascal Mettes, Cees G. M. Snoek. "Focus for Free in Density-Based Counting", International Journal of Computer Vision (IJCV), 2023. (CCF A类)

  2. [2] Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek. "On Measuring and Controlling the Spectral Bias of the Deep Image Prior", International Journal of Computer Vision (IJCV), 2022. (CCF A类)

  3. [3] Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees G. M. Snoek. "Unsharp Mask Guided Filtering", IEEE Transactions on Image processing (TIP), 2021. (CCF A类)

  4. [4] Le Zhang*, Zenglin Shi*(共同一作), Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen. "Ordered or Orderless: A Revisit for Video based Person Re-ID", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (CCF A类)

  5. [5] Le Zhang*, Zenglin Shi* (共同一作), Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng. "Nonlinear Regression via Deep Negative Correlation Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020. (CCF A类)

  6. [6] Zenglin Shi, Pascal Mettes, Cees G. M. Snoek. "Counting with Focus for Free", International Conference on Computer Vision (ICCV), 2019. (CCF A类)

  7. [7] Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, and Guoyan Zheng. "Crowd Counting with Deep Negative Correlation Learning", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (CCF A类)

  8. [8] Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, and Guoyan Zheng. "Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for WholeHeart Segmentation from 3D MR Images'', International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018 (CCF B类)

  9. [9] Zenglin Shi, Le Zhang, Yibo Sun and  Yandong Ye. "Multiscale Multitask Deep NetVLAD for Crowd Counting", IEEE Transactions on Industrial Informatics (TII), 2018. (中科院一区)

  10. [10] Zenglin Shi, Yangdong Ye, Yunpeng Wu. "Rank-based Pooling for Deep Convolutional Neural Networks", Neural Networks, 2016. (CCF B类)


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