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。研究方向聚焦人工智能与社会认知计算，重点围绕大模型与智能体应用中的动态适应、迭代进化与长期记忆等关键问题展开前沿探索。先后主持国家级青年人才项目、国家自然科学基金面上项目等多项国家及省部级课题。科研成果发表于IEEE TPAMI、IJCV等计算机视觉顶级期刊，以及CVPR、ICCV等人工智能国际顶级会议，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, Qi Wang, Hui Ma, Zenglin Shi* (通讯作者), Cees GM Snoek, Meng Wang. Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs. CVPR, 2026 (CCF A类)

[2] Chang Che (博士生), Ziqi Wang, Pengwan Yang, Qi Wang, Hui Ma, Zenglin Shi* (通讯作者). LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning. AAAI, 2026, oral. (CCF A类)

[3] 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'', ICCV, 2025 (CCF A类)

[4] 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", ICCV, 2025. (CCF A类)

[5] 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)

[6] 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)

[7] 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)

[8] 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)

[9 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)

[10] 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)

[11] Zenglin Shi, Pascal Mettes, Cees G. M. Snoek. "Counting with Focus for Free", ICCV, 2019. (CCF A类)

[12] Zenglin Shi, Le Zhang, Yun Liu, Xiaofeng Cao, Yangdong Ye, Ming-Ming Cheng, and Guoyan Zheng.  "Crowd Counting with Deep Negative Correlation Learning", CVPR, 2018. (CCF A类)