Wencheng Zhu
天津大学智算学部副教授。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年清华大学水利系做博士后研究,合作导师是张建民院士。
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'm interested in computer vision and machine learning. My research mainly focuses on video analysis and understanding.
CV /
Google Scholar /
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Email
Drop me an email (wenchengzhu AT tju.edu.cn) for master application !!!
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CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective
Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, and Qinghua Hu
Arxiv , 2024
[PDF]
[Code]
[bibtex]
We propose a sample-wise contrastive knowledge distillation approach.
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Relational Reasoning over Spatial-Temporal Graphs for Video Summarization
Wencheng Zhu, Yucheng Han, Jiwen Lu, and Jie Zhou
IEEE Transactions on Image Processing (TIP), 2022
[PDF]
[bibtex]
We conduct relational reasoning over spatial-temporal graphs for video summarization.
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Learning Multiscale Hierarchical Attention for Video Summarization
Wencheng Zhu, Jiwen Lu, Yucheng Han, and Jie Zhou
Pattern Recognition (PR), 2021
[PDF]
[bibtex]
We propose a multiscale hierarchical attention approach for supervised video summarization.
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Separable Structure Modeling for Semi-supervised Video Object Segmentation
Wencheng Zhu, Jiahao Li, Jiwen Lu, and Jie Zhou
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
[PDF]
[Code]
[Video]
We propose a separable structure modeling approach for semi-supervised video object segmentation.
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DSNet: A Flexible Detect-to-Summarize Network for Video Summarization
Wencheng Zhu, Jiwen Lu, Jiahao Li, and Jie Zhou
IEEE Transactions on Image Processing (TIP), 2020
[PDF]
[Code]
[bibtex]
We propose a Detect-to-Summarize network for video summarization.
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Structured General and Specific Multi-view Subspace Clustering
Wencheng Zhu, Jiwen Lu, and Jie Zhou
Pattern Recognition (PR), 2019
[PDF]
[bibtex]
A multiple subspace clustering approach.
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Nonlinear Subspace Clustering for Image Clustering
Wencheng Zhu, Jiwen Lu, and Jie Zhou
Pattern Recognition Letters (PRL), 2018
[PDF]
[bibtex]
We propose a nonlinear subspace clustering approach for image clustering.
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Nonlinear Subspace Clustering
Wencheng Zhu, Jiwen Lu, and Jie Zhou
IEEE International Conference on Image Processing (ICIP), 2017
[PDF]
[bibtex]
We propose a nonlinear subspace clustering approach.
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Subspace Clustering guided Unsupervised Feature Selection
Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo
Pattern Recognition (PR), 2017
[PDF]
[Code]
[bibtex]
We propose a feature selection approach based on subspace clustering.
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Non-convex Regularized Self-representation for Unsupervised Feature Selection
Pengfei Zhu, Wencheng Zhu, Weizhi Wang, Wangmeng Zuo, Qinghua Hu
Image and Vision Computing (IVC), 2016
[PDF]
[Code]
[bibtex]
We propose a non-convex regularized feature selection approach.
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Set to Set Visual Tracking
Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2016
[PDF]
[Code]
[bibtex]
We propose a visual tracking approach by using set to set distance.
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Honors and Awards
The Shuimu Tsinghua Scholar Program, Tsinghua University, 2021.
Outstanding Graduate, Tianjin University, 2017.
National Scholarship, Tianjin University, 2016-2017.
Best Paper Nomination on PRICAI 2016.
Outstanding Graduate, Tianjin University, 2014.
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Professional Activities
Reviewer, TIP, TNNLS, TKDE, TCYB, TMM, TCSVT, TOMM, TCSS, PR, PRL, IEEE Acess.
Reviewer, ICME, WACV, ICIP, ICPR, VCIP, CASE, BTAS, BigMM, IScIDE, JVIC, MMSP.
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