个人经历：

• 2022.03~: 加州大学洛杉矶分校 (UCLA)；博士后研究员；
• 2020.11~2022.02: 腾讯优图实验室，高级研究员；
• 2019.09~2020/01: 新加坡松下研发中心，研究实习生；
• 2016.03~2016.06: 腾讯优图实验室，研究实习生；
• 2017~2020: 南开大学，博士研究生（导师 程明明 教授）；
• 2014~2017: 上海大学，硕士研究生（导师 沈为 博士，现上海交通大学副教授）；
• 2010~2014: 上海大学，本科生；

联系方式：

• 
• https://orcid.org/0000-0002-2496-0829
• https://scholar.google.com/citations?user=42gpbZoAAAAJ
• @zeakey @kaizhao
• 694691 kaizhaodotnet

Publications

1. Kai Zhao^*, Qi Han^*, Chang-bin Zhang, Jun Xu, Mingg-Ming Cheng. "Deep Hough Transform for Semantic Line Detection." (* denotes equal contribution) IEEE TPAMI 2021. [PDF] [arXiv: 2003.04676] [bibtex]

   @article{zhao2021deep,
     author    = {Kai Zhao and Qi Han and Chang-bin Zhang and Jun Xu and Ming-ming Cheng},
     title     = {Deep Hough Transform for Semantic Line Detection},
     journal   = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
     year      = {2021},
     doi       = {10.1109/TPAMI.2021.3077129}
   }
   

2. Kai Zhao^*, Xin-Yu Zhang^*, Qi Han^*, Ming-Ming Cheng. "Dependency Aware Filter Pruning." (* denotes equal contribution) [arXiv: 2005.02634]
3. Qi Han^*, Kai Zhao^*, Jun Xu, Mingg-Ming Cheng. "Deep Hough Transform for Semantic Line Detection." (* denotes equal contribution) 2020 European Conference on Computer Vision (ECCV). [PDF]
4. Xin-Yu Zhang^*, Kai Zhao^*, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang. "Model-Agnostic Structured Sparsification with Learnable Channel Shuffle." (* denotes equal contribution) [arXiv: 2002.08127]
5. Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-Ming Cheng. "Optimizing the F-measure for Threshold-free Salient Object Detection." International conference on computer vision (ICCV), Seoul, Korea, 2019. [Project page] [PDF] [bibtex]

   @InProceedings{zhao2019optimizing,
     author    = {Kai Zhao and Shanghua Gao and Wenguan Wang and Ming-ming Cheng},
     title     = {Optimizing the {F}-measure for Threshold-free Salient Object Detection},
     booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
     pages     = {8849-8857},
     month     = {Oct},
     year      = {2019},
     url       = {http://kaizhao.net/fmeasure}
   }
   

6. Kai Zhao, Jingyi Xu, Ming-Ming Cheng. "RegularFace: Deep Face Recognition via Exclusive Regularization." IEEE conference on Computer Vision and Patterm Recognition (CVPR), Long Beach, USA, 2019. [PDF] [project page] [bibtex]

   @InProceedings{zhao2019regularface,
     author = {Zhao, Kai and Xu, Jingyi and Cheng, Ming-Ming},
     title = {RegularFace: Deep Face Recognition via Exclusive Regularization},
     booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
     pages     = {1136-1144},
     month = {June},
     year = {2019}
   }
   

7. Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng. "Hi-Fi: Hierarchical Feature Integration for Skeleton Detection." International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018. [PDF] [LaTeX Source] [Project page] [bibtex]

   @inproceedings{zhao2018hifi,
     title     = {Hi-{F}i: Hierarchical Feature Integration for Skeleton Detection},
     author    = {Kai Zhao and Wei Shen and Shanghua Gao and Dandan Li and Ming-Ming Cheng},
     booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
                  Artificial Intelligence, {IJCAI-18}},
     publisher = {International Joint Conferences on Artificial Intelligence Organization},
     pages     = {1191--1197},
     year      = {2018},
     month     = {7},
     doi       = {10.24963/ijcai.2018/166},
     url       = {http://kaizhao.net/hifi},
   }

8. Wei Shen, Kai Zhao, Yilu Guo, Alan Yuille. "Label Distribution Learning Forests." Proceedings of advances in neural information processing systems(NIPS), Long Beach, USA, 2017. (导师一作) [arXiv:1702.06086] [Project Page] [Code] [bibtex]

   @InProceedings{shen2017label,
     title     = {Label Distribution Learning Forests},
     author    = {Shen, Wei and Zhao, Kai and Guo, Yilu and Yuille, Alan},
     booktitle = {Proceedings of Advances in neural information processing systems},
     year      = {2017},
     url       = {http://kaizhao.net/ldlf},
   }

9. Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai. "Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs." Proceddings of the 29th IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Las Vegas, USA, 2016. (导师一作) [arXiv:1603.09446] [Code] [bibtex]

   @InProceedings{shen2016object,
     title={Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs},
     author={Shen, Wei and Zhao, Kai and Jiang, Yuan and Wang, Yan and Zhang, Zhijiang and Bai, Xiang},
     booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
     year={2016},
     pages={222-230},
     publisher={IEEE},
     howpublished = "\url{http://kaizhao.net/deepsk}"
   }
   

10. Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip Torr. "Res2Net: A New Multi-scale Backbone Architecture." (IEEE Trans on Pattern Analysis and Machine Intelligence, 2019) [Project Page ] [Code ]
11. Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille "Deep Differentiable Random Forests for Age Estimation." (IEEE Trans on Pattern Analysis and Machine Intelligence, 2019)
12. Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan Yuille. "DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images." (IEEE Trans on Image Processing, 2017) (导师一作) [arXiv:1609.03659] [Project Page ] [Code] [SK-LARGE dataset] [bibtex]

    @article{shen2017deepskeleton,
      title={DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images},
      author={Shen, Wei and Zhao, Kai and Jiang, Yuan and Wang, Yan and Bai, Xiang and Yuille, Alan},
      journal={IEEE Transactions on Image Processing},
      volume={26},
      number={11},
      pages={5298-5311},
      year={2017},
      publisher={IEEE},
      howpublished = "\url{http://kaizhao.net/deepsk}"
    }
    

• IEEE TPAMI 是 IEEE 旗下影响因子最高的期刊；
• CVPR, ICCV 和 ECCV 是计算机视觉领域的国际顶级会议；IJCAI 是中国计算机学会(CCF)工智能领域的 A 类会议；
• Wei Shen 是我的硕士导师。

Professional Activities:

• 会议审稿: CVPR, ICCV, ECCV, AAAI, IJCAI, ICLR, NIPS, ICML
• 期刊审稿: IJCV, IEEE Trans on CSVT, IEEE Trans on Multimedia, IEEE Trans on Image Processing, Neurocomputing, Pattern Recognition, Pattern Recognition Letters.