教育背景

      2013                           中国科学院自动化研究所                                        工学博士学位

工作经历

      2013.07 - 2016.10       中国科学院自动化所智能感知与计算研究中心          助理研究员  

      2016.11 - 2017.04       中国科学院自动化研究所智能感知与计算研究中心    副研究员 

     2017.05 - 2018.03       中国科学院自动化研究所智能感知与计算研究中心    项目研究员

     2018.04 - 现在             中国科学院自动化研究所智能系统与工程研究中心    研究员

兼职经历

     2018-08-01-今,中国图象图形学会青年工作委员会委员,
     2017-09-01-今,中国自动化学会混合智能专业委员会委员,
     2017-05-01-今,中关村管委会专家委员会委员,
     2015-10-01-今,中国计算机学会计算机视觉专业委员会委员 

奖励

      2013年中国人工智能学会全国优秀博士论文提名奖

      2018年AIIDE星际争霸AI比赛国际第三名

      2017年AIIDE星际争霸AI比赛国际第四名

      2010、2011年4次PASCAL VOC国际比赛冠亚军

出版信息

      [1] Huikai Wu, Junge Zhang and Kaiqi Huang, MSC: A Dataset for Macro-Management in StarCraft II, arXiv preprint arXiv:1710.03131, 2017

      [2] Debang Li, Huikai Wu, Junge Zhang and Kaiqi Huang, A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping，CVPR 2018

      [3] Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang. Fast End-to-End Trainable Guided Filter, CVPR 2018

      [4] Yan Li, Junge Zhang, Kaiqi Huang, Jianguo Zhang. Discriminative Learning of Latent Features for Zero-Shot Recognition, CVPR 2018

      [5] Yan Li, Junge Zhang, Jianguo Zhang and Kaiqi Huang. Mixed Supervised Object Detection with Robust Objectness Transfer, TPAMI 2018

      [6] Wenzhen Huang, Junge Zhang, Kaiqi Huang and Tieniu Tan, Adversarial Learning Macro-management in Starcraft by Reinforcement Learning, submitted to IJCAI 2018

      [7] Xue Han, Junge Zhang, Qiyue Yin, Dynamic Attention Model based Multi-agent Coordination, submitted to IJCAI 2018

      [8] Yan Li*, Zhen Jia*, Junge Zhang, Kaiqi Huang, Tieniu Tan (*The first two authors contributed equally.). Deep Semantic Structural Constraints for Zero-Shot Learning. AAAI 2018

      [9] Yabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan, DF$^2$Net: A Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification. AAAI 2018

      [10] Qiyue Yin, Shu Wu, Junge Zhang and Liang Wang, Multi-view Clustering via Unified and View Specific Embeddings Learning, accepted to TNNLS 2018

      [11] Kangwei Liu, Junge Zhang, Peipei Yang, Stephen J. Maybank, Kaiqi Huang, GRMA: Generalized Range Move Algorithms for the Efficient Optimization of MRFs. IJCV, 121(3): 365-390 (2017)

      [12] Kangwei Liu, Junge Zhang, Peipei Yang and Kaiqi Huang, FastLCD: Fast Label Coordinate Descent for the Optimization of MRFs with Two-Dimensional Labels, In International Joint Conference on Artificial Intelligence (IJCAI) 2016

      [13] Junge Zhang, Kaiqi Huang, Tieniu Tan and Zhaoxiang Zhang, Local Structured Representation for Generic Object Detection, Frontiers of Computer Science (FCS), 2016

      [14] Junge Zhang, Lianrui Fu and Kaiqi Huang. ORGM: Occlusion Relational Graphical Model for Human Pose Estimation. IEEE Trans. On Image Processing (TIP): 2016

      [15] Junge Zhang, Yanhu Shan, Kaiqi Huang, ISEE Smart Home: Smart video analysis for home security, Neurocomputing 2015

      [16] Chong Wang, Weiqiang Ren, Junge Zhang, Kaiqi Huang, Steve Maybank. Large-Scale Weakly Supervised Object Localization via Latent Category Learning. IEEE Trans. Image Processing (TIP) 2015

      [17] Kangwei Liu, Junge Zhang, Peipei Yang, and Kaiqi Huang “GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs”, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015

      [18] Lianrui Fu, Junge Zhang, Kaiqi Huang, Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation,In International Conference on Computer Vision (ICCV) 2015

      [19] Kangwei Liu, Junge Zhang, Kaiqi Huang and Tieniu Tan, “Deformable Object Matching via Deformation Decomposition based 2D Label MRF”, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014

      [20] Junge Zhang, Kaiqi Huang, Yinan Yu and Tieniu Tan, “Boosted Local Structured HOG-LBP for Object Localization”, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011

科研项目

（ 1 ） 博弈决策智能理论与技术研究, 主持, 省级, 2019-11--2022-12
      （ 2 ） 中科院青年促进会项目, 主持, 部委级, 2019-01--2022-12
      （ 3 ） 智能博弈**中的关键理论与技术研究, 主持, 国家级, 2019-01--2021-12
      （ 4 ） 场景元素的时空演化分析与高层次事件检测, 主持, 国家级, 2016-07--2020-12
      （ 5 ） 小样本条件下的物体检测研究, 主持, 国家级, 2019-01--2022-12
      （ 6 ） 小样本博弈学习与可解释性建模, 主持, 部委级, 2020-10--2024-12
      （ 7 ） 智能博弈决策AI训练学习与推理平台, 主持, 国家级, 2020-01--2022-06
      （ 8 ） 面向图像分析的带噪声小样本学习技术, 主持, 院级, 2018-09--2021-12
      （ 9 ） 自动化算子设计, 主持, 院级, 2019-04--2020-07

指导学生

      徐   沛

      黄文振

      李   岩

      李德榜

      武慧凯

      李梓豪

      胡益珲