Jinzhuo Wang

Google Scholar   CV

 

Engineering Science, University of Oxford

 

Email: jinzhuo.wang [at] eng [dot] ox [dot] ac [dot] uk


About Me

I am currently a postdoc researcher at CIBIM group in the department of Engineering Science, University of Oxford. I got my Ph.D. degree at Peking University, working with Prof. Wenmin Wang and Prof. Wen Gao. My B.S. degree was also obtained at Peking University under the supervision of Prof. Yanchun Sun. Prior to that, I was selected to Chinese Chess Academy and received ten years of professional training in Go between the age of five and fourteen.

 

My research interest broadly lies in computer vision and machine learning. In computer vision, I am devoted to tackling video-centric challenging problems, especially action recognition and video prediction. In machine learing, I am interested in model assistance of multiple agents, and its applications to deep neural nets.

Recent Publications

More Information Supervised Probablistic Deep Face Embedding Learning
Ying Huang, Shangfeng Qiu, Wenwei Zhang, Xianghui Luo, Jinzhuo Wang

ICML 2020

pdf | slide | bib

 @inproceedings{huang2020more,
		  title={More Information Supervised Probablistic Deep Face Embedding Learning},
		  author={Huangy, Ying and Qiu, Shangfeng and Zhang, Wenwei and Luo, Xianghui and Wang, Jinzhuo},
		  booktitle={ICML},
		  year={2020}}

Fast and Accurate Action Detection in Videos with Motion-Centric Attention Model
Jinzhuo Wang, Wenmin Wang, Wen Gao

IEEE Transactions on Circuits and Systems for Video Technology 2020

pdf | slide | bib

  @article{wang2020fast,
      title={Fast and Accurate Action Detection in Videos with Motion-Centric Attention Model},
      author={Wang, Jinzhuo and Wang, Wenmin and Gao, Wen},
      journal={IEEE Transactions on Circuits and Systems for Video Technology},
      year={2020},
      volume={30},
      number={1},
      pages={117-130},
      publisher={IEEE}}

Predicting Diverse Future Frames with Local Transformation-Guided Masking
Jinzhuo Wang, Wenmin Wang, Wen Gao

IEEE Transactions on Circuits and Systems for Video Technology 2019

pdf | slide | bib

  @article{wang2019predicting,
      title={Predicting Diverse Future Frames with Local Transformation-Guided Masking},
      author={Wang, Jinzhuo and Wang, Wenmin and Gao, Wen},
      journal={IEEE Transactions on Circuits and Systems for Video Technology},
      yyear={2019},
      volume={29},
      number={12},
      pages={3531-3543},
      publisher={IEEE}}

Multi-Scale Deep Alternative Neural Network for Large Scale Video Classification
Jinzhuo Wang, Wenmin Wang, Wen Gao

IEEE Transactions on Multimedia 2018

pdf | slide | bib

  @article{wang2018multi,
		  title={Multi-Scale Deep Alternative Neural Network for Large-Scale Video Classification},
		  author={Wang, Jinzhuo and Wang, Wenmin and Gao, Wen},
		  journal={IEEE Transactions on Multimedia},
		  year={2018},
          volume={20},
          number={10},
          pages={2578-2592},
          publisher={IEEE}}

Beyond Knowledge Distillation: Collaborative Learning for Bidirectional Model Assistance
Jinzhuo Wang, Wenmin Wang, Wen Gao

IEEE Access 2018

pdf | slide | bib

  @article{wang2018beyond,
		  title={Beyond Knowledge Distillation: Collaborative Learning for Bidirectional Model Assistance},
		  author={Wang, Jinzhuo and Wang, Wenmin and Gao, Wen},
		  journal={IEEE Access},
		  volume={6},
		  pages={39490--39500},
		  year={2018},
		  publisher={IEEE}}

Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation
Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao

AAAI 2017

pdf | slide | data | bib

 @inproceedings{wang2017beyond,
		  title={Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation.},
		  author={Wang, Jinzhuo and Wang, Wenmin and Wang, Ronggang and Gao, Wen},
		  booktitle={AAAI},
		  pages={1576--1582},
		  year={2017}}

Video Imagination from a Single Image with Transformation Generation
Baoyang Chen, Wenmin Wang, Jinzhuo Wang

ACM MM 2017

pdf | slide | bib

  @inproceedings{chen2017video,
		  title={Video imagination from a single image with transformation generation},
		  author={Chen, Baoyang and Wang, Wenmin and Wang, Jinzhuo},
		  booktitle={Proceedings of the on Thematic Workshops of ACM Multimedia 2017},
		  pages={358--366},
		  year={2017},
		  organization={ACM}}

Learning Object-Centric Transformation for Video Prediction
Xiongtao Chen, Wenmin Wang, Jinzhuo Wang, Weimian Li

ACM MM 2017

pdf | slide | bib

  @inproceedings{chen2017learning,
			title={Learning Object-Centric Transformation for Video Prediction},
			author={Chen, Xiongtao and Wang, Wenmin and Wang, Jinzhuo and Li, Weimian},
			booktitle={Proceedings of the 2017 ACM on Multimedia Conference},
			pages={1503--1512},
			year={2017},
			organization={ACM}}

Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition
Jinzhuo Wang, Wenmin Wang, Xiongtao Chen, Ronggang Wang, Wen Gao

NIPS 2016    

pdf | poster | code | bib

  @inproceedings{wang2016deep,
		  title={Deep alternative neural network: Exploring contexts as early as possible for action recognition},
		  author={Wang, Jinzhuo and Wang, Wenmin and Wang, Ronggang and Gao, Wen and others},
		  booktitle={Advances in Neural Information Processing Systems},
		  pages={811--819},
		  year={2016}}

CSPS: An Adaptive Pooling Method for Image Classification
Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao

IEEE Transactions on Multimedia 2016

pdf | slide | bib

  @article{wang2016csps,
		  title={CSPS: An Adaptive Pooling Method for Image Classification.},
		  author={Wang, Jinzhuo and Wang, Wenmin and Wang, Ronggang and Gao, Wen},
		  journal={IEEE Trans. Multimedia},
		  volume={18},
		  number={6},
		  pages={1000--1010},
		  year={2016}}

Learning Class-Specific Pooling Shapes for Image Classification
Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao

ICME 2015

pdf | slide | bib

  @inproceedings{wang2015learning,
		  title={Learning class-specific pooling shapes for image classification},
		  author={Wang, Jinzhuo and Wang, Wenmin and Wang, Ronggang and Gao, Wen},
		  booktitle={Multimedia and Expo (ICME), 2015 IEEE International Conference on},
		  pages={1--6},
		  year={2015},
		  organization={IEEE}}

A Compact Shot Representation for Video Semantic Indexing
Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao

ICIP 2015

pdf | slide | bib

  @inproceedings{wang2015compact,
		  title={A compact shot representation for video semantic indexing},
		  author={Wang, Jinzhuo and Wang, Wenmin and Wang, Ronggang and Gao, Wen},
		  booktitle={Image Processing (ICIP), 2015 IEEE International Conference on},
		  pages={3265--3269},
		  year={2015},
		  organization={IEEE}}

Image Classification using RBM to Encode Local Descriptors with Group Sparse Learning
Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao

ICIP 2015

pdf | slide | bib

  @inproceedings{wang2015image,
		  title={Image classification using RBM to encode local descriptors with group sparse learning},
		  author={Wang, Jinzhuo and Wang, Wenmin and Wang, Ronggang and Gao, Wen},
		  booktitle={Image Processing (ICIP), 2015 IEEE International Conference on},
		  pages={912--916},
		  year={2015},
		  organization={IEEE}}

Awards

    • 2017    Acamedic Scholarship of PKU
    • 2016    National Scholarship of China
    • 2016    PKU Academic Innovation Award
    • 2015    Talent Scholarship of PKU
    • 2014    PKU Merit Student
    • 2009    Champion of PKU-THU Go Competition (consecutive 4 years)
    • 2003    Champion of National Championship of Go in China
Last updated on 1st June 2020.