Junge ZHANG (张俊格)

Institute of Automation, Chinese Academy of Sciences , Specially-appointed Professor Research Interests:General Artificial IntelligenceReinforcement LearningGame-theoretic Machine LearningMulti-agent System

Dr. Junge Zhang received his Ph.D. degree in Pattern Recognition and Intelligent Systems from Institute of Automation, Chinese Academy of Sciences (CASIA) in 2013. Now he serves as a Specially-appointed Professor. He led his team and won the fourth prize in AIIDE Starcraft AI challenge 2017 and third prize in 2018. Dr. Zhang is a member of Youth Innovation Promotion Association, Chinese Academy of Sciences, and was selected into Beijing Nova Program of Science and Technology.

因课题及项目需要,本课题组长期招聘人工智能方向研究及开发人员,并长期提供博士后及实习生岗位若干,欢迎联系咨询,邮件是:jgzhang@nlpr.ia.ac.cn


我们的研究工作涵盖以下主要技术内容:

博弈决策、多智能体系统、分布式机器学习、强化学习、深度学习、持续学习/终身学习等


我们希望您:

1. 对于应聘全职工作人员,我们希望您的学历 >= 硕士,有优秀的人工智能或者或者机器学习相关研究或开发经历。

2. 对于应聘博士后岗位,我们希望您在人工智能、机器学习等方面有着扎实的积累。

3. 对于应聘实习生或者访问学生岗位,我们希望你有着良好的英文读写,编程和数学功底,并能长期稳定实习(至少半年)。

  1. Mixed Supervised Object Detection with Robust Objectness Transfer
    Yan Li, Junge Zhang, Jianguo Zhang and Kaiqi Huang. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI): 2018
  2. Fast End-to-End Trainable Guided Filter
    Huikai Wu, Shuai Zheng, Junge Zhang and Kaiqi Huang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 2018
  3. Discriminative Learning of Latent Features for Zero-Shot Recognition
    Yan Li, Junge Zhang, Kaiqi Huang and Jianguo Zhang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 2018
  4. A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping
    Debang Li, Huikai Wu, Junge Zhang and Kaiqi Huang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 2018
  5. DF$^2$Net: A Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification
    Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang and Tieniu Tan. The Association for the Advancement of Artificial Intelligence (AAAI): 2018
  6. Deep Semantic Structural Constraints for Zero-Shot Learning
    Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang and Tieniu Tan. The Association for the Advancement of Artificial Intelligence (AAAI): 2018
  7. Local structured representation for generic object detection
    Junge Zhang, Kaiqi Huang, Tieniu Tan and Zhaoxiang Zhang. Frontiers of Computer Sciences: 2017 ,11(4) ,632--648
  8. GRMA: Generalized Range Move Algorithms for the Efficient Optimization of MRFs
    Kangwei Liu, Junge Zhang, Peipei Yang, Stephen Maybank, Kaiqi Huang. International Journal of Computer Vision (IJCV): 2017 ,121(3) ,365--390
  9. GP-GAN: Towards Realistic High-Resolution Image Blending
    Huikai Wu, Shuai Zheng,Junge Zhang and Kaiqi Huang. arXiv preprint: 2017
  10. Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentation
    Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang and Tieniu Tan. IEEE International Conference on Image Processing (ICIP): 2017 ,1262--1266
  11. Encyclopedia enhanced semantic embedding for zero-shot learning
    Zhen Jia, Junge Zhang, Kaiqi Huang and Tieniu Tan. IEEE International Conference on Image Processing (ICIP): 2017 ,1287--1291
  12. MSC: A Dataset for Macro-Management in StarCraft II
    Huikai Wu, Junge Zhang and Kaiqi Huang. arXiv preprint: 2017 ,abs/1710.03131
  13. ORGM: Occlusion Relational Graphical Model for Human Pose Estimation
    Junge Zhang, Lianrui Fu and Kaiqi Huang. IEEE Trans. On Image Processing (TIP): 2016
  14. FastLCD: Fast Label Coordinate Descent for the Efficient Optimization of 2D Label MRFs
    Kangwei Liu, Junge Zhang, Peipei Yang and Kaiqi Huang. International Joint Conference on Artificial Intelligence (IJCAI): 2016 ,624--630
  15. ISEE Smart Home: Smart video analysis for home security
    Junge Zhan, Yanhu Shan and Kaiqi Huang. Neurocomputing: 2015 ,149 ,752--766
  16. Large-Scale Weakly Supervised Object Localization via Latent Category Learning
    Chong Wang, Kaiqi Huang, Weiqiang Ren, Junge Zhang and Stephen J. Maybank. IEEE Trans. Image Processing (TIP): 2015 ,24(4) ,1371--1385
  17. Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation
    Lianrui Fu, Junge Zhang and Kaiqi Huang. IEEE International Conference on Computer Vision (ICCV): 2015 ,1976--1984
  18. GRSA: Generalized range swap algorithm for the efficient optimization of MRFs
    Kangwei Liu, Junge Zhang, Peipei Yang and Kaiqi Huang. IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 2015 ,1761--1769
  19. Context aware model for articulated human pose estimation
    Lianrui Fu, Junge Zhang and Kaiqi Huang. IEEE International Conference on Image Processing (ICIP): 2015 ,991--995
  20. Mirrored non-maximum suppression for accurate object part localization
    Lianrui Fu, Junge Zhang and Kaiqi Huang. Asian Conference on Pattern Recognition (ACPR): 2015 ,51--55
  21. Deformable Object Matching via Deformation Decomposition Based 2D Label MRF
    Kangwei Liu, Junge Zhang, Kaiqi Huang and Tieniu Tan. IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 2014 ,2321--2328
  22. Robust Object Recognition via Visual Pathway Feedback
    Chong Wang, Junge Zhang, Peipei Yang and Kaiqi Huang. IAPR International Conference on Pattern Recognition (ICPR): 2014 ,604--607
  23. Learning Convolutional Nonlinear Features for K Nearest Neighbor Image Classification
    Weiqiang Ren, Yinan Yu, Junge Zhang and Kaiqi Huang. International Conference on Pattern Recognition ICPR: 2014 ,4358--4363
  24. Improved Optimization Based on Graph Cuts for Discrete Energy Minimization
    Kangwei Liu, Junge Zhang and Kaiqi Huang. International Conference on Pattern Recognition (ICPR): 2014 ,2424--2429
  25. Exploring the Power of Kernel in Feature Representation for Object Categorization
    Weiqiang Ren, Yinan Yu, Junge Zhang and Kaiqi Huang. International Conference on Neural Information Processing (ICONIP): 2013 ,8228 ,541--548
  26. An adaptive combination of multiple features for robust tracking in real scene
    Weihua Chen, Lijun Cao, Junge Zhang and Kaiqi Huang. IEEE International Conference on Computer Vision Workshops (ICCVW): 2013 ,129--136
  27. Recent Progress on Object Classification and Detection
    Tieniu Tan and Yongzhen Huang and Junge Zhang. Iberoamerican Congress Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications (CIARP): 2013 ,8259 ,1--8
  28. Data decomposition and spatial mixture modeling for part based model
    Junge Zhang, Yongzhen Huang, Kaiqi Huang, Zifeng Wu and Tieniu Tan. Asian Conference on Computer Vision (ACCV): 2012 ,123--137
  29. Semantic windows mining in sliding window based object detection
    Junge Zhang,Xin Zhao,Yongzhen Huang,Kaiqi Huang and Tieniu Tan. International Conference on Pattern Recognition (ICPR): 2012 ,3264-3267
  30. Boosted local structured hog-lbp for object localization
    Junge Zhang, Kaiqi Huang, Yinan Yu and Tieniu Tan. Computer Vision and Pattern Recognition (CVPR): 2011 ,1393--1400
  31. An empirical study of visual features for part based model
    Junge Zhang,Yinan Yu,Shuai Zheng and Kaiqi Huang. Asian Conference on Pattern Recognition (ACPR): 2011 ,219-223
  32. Object Detection based on Data Decomposition, Spatial Mixture Modeling and Context
    Junge Zhang,Yinan Yu,Yongzhen Huang,Chong Wang,Weiqiang Ren,Jinchen Wu, Kaiqi Huang and Tieniu Tan. International Conference on Computer Vision Workshop on Visual Object Classes Challenge: 2011
  33. Robust view transformation model for gait recognition
    Shuai Zheng, Junge Zhang, Kaiqi Huang, Ran He and Tieniu Tan. IEEE International Conference on Image Processing (ICIP),: 2011 ,2073--2076
  34. Object detection by context and boosted HOG-LBP
    Yinan Yu, Junge Zhang, Yongzhen Huang,Shuai Zheng,Weiqiang Ren,Chong Wang, Kaiqi Huang and Tieniu Tan. ECCV workshop on PASCAL VOC: 2010

Email: jgzhang@nlpr.ia.ac.cn

Welcome to contact me if you have any question.

Updated on:2020-03-26 09:47      Total Visits:3639

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