朱文成，天津大学人工智能学院副研究员，水木学者，硕士生导师，55教学楼B519。 2014和2017年取得天津大学学士和硕士学位，导师是胡清华教授和朱鹏飞教授； 2021年6月取得清华大学博士学位，导师是鲁继文教授； 2021年7月清华大学水利系做博士后研究，合作导师是张建民院士。 2023年11月入职天津大学人工智能学院， 主要关注计算机视觉和无人机视觉，特别是无人机、无人车、水下机器人等异构智能无人系统的协同感知。

I obtained my Bachelor and Master degrees from Tianjin University of Computer Science and Technology, advised by Prof. Qinghua Hu and Pengfei Zhu. I received my Doctoral degree at the Department of Automation, Tsinghua University, in Intelligent Vision Group, under the supervision of Prof. Jiwen Lu. I conducted postdoctoral research at Civil and Hydraulic Engineering， Tsinghua University, under the supervision of Prof. Jian-Min Zhang, an academician of the Chinese Academy of Engineering.

I joined the School of Artificial Intelligence at Tianjin University in November 2023, focusing on computer vision and drone vision, specifically for collaborative perception of heterogeneous intelligent unmanned systems such as drones and underwater robots.

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Drop me an email （wenchengzhu AT tju.edu.cn） for the 2026 master application !!!

We propose a sample-wise contrastive knowledge distillation approach.

We conduct relational reasoning over spatial-temporal graphs for video summarization.

We propose a multiscale hierarchical attention approach for supervised video summarization.

We propose a separable structure modeling approach for semi-supervised video object segmentation.

We propose a Detect-to-Summarize network for video summarization.

A multiple subspace clustering approach.

We propose a nonlinear subspace clustering approach for image clustering.

We propose a nonlinear subspace clustering approach.

We propose a feature selection approach based on subspace clustering.

We propose a non-convex regularized feature selection approach.

We propose a visual tracking approach by using set to set distance.

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