时增林，现为合肥工业大学计算机与信息学院教授、博士生导师，国家级青年人才计划入选者，同时担任合肥综合性国家科学中心人工智能研究院访问研究员及中国网络空间安全学会制度建设委员会委员。博士毕业于荷兰阿姆斯特丹大学，曾在瑞士伯尔尼大学担任研究工程师，新加坡科技研究局（A*STAR）担任研究科学家以及中电网络空间研究院担任访问学者。在科研方向上，在人工智能、社会认知计算等前沿方向持续发力，着力突破大模型和智能体应用中的动态适应、迭代进化与长期记忆难题。主持了多项国家级及省部级课题，其中包括国家级青年人才项目，以及国家自然科学基金面上项目等基础研究课题。团队通过系统性研究，已在大模型自进化、多模态可控生成、社交智能体技术等方面取得突破性进展，相关成果发表于IEEE TPAMI、IJCV、TIP等计算机视觉顶级期刊，以及CVPR、ICCV等国际人工智能顶会，累计发表高水平学术论文50余篇。

-长期招收博后，详情请阅“合肥工业大学计算机与信息学院（人工智能学院） 博士后招聘公告”

-热烈欢迎有意读研和读博的学生提前联系沟通~

备注：申请的同学请直接发邮件。由于邮件较多，无法一一回复，请见谅。

代表性论文：

[1] Ziqi Wang*(博士生), Chang Che*, Cheems Wang, Yangyang Li, Zenglin Shi (通讯作者), Meng Wang. "SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning'', International Conference on Computer Vision (ICCV), 2025 (CCF A类)

[2] Zhen Zeng*(博士生), Leijiang Gu*, Xun Yang, Zhangling Duan, Zenglin Shi (通讯作者), Meng Wang. "Visual-Oriented Fine-Grained Knowledge Editing for MultiModal Large Language Models",International Conference on Computer Vision (ICCV), 2025. (CCF A类)

[3] Zenglin Shi*, Jing Jie*, Ying Sun, Joo Hwee Lim, Mengmi Zhang. "Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning", IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024. (中科院一区 Top)

[4] 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)

[5] 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)

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

[7] Le Zhang*, Zenglin Shi*（共一）, 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)

[8] Le Zhang*, Zenglin Shi* （共一）, 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)

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

[10] 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)