导师风采
杨巨峰
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个人信息

Personal Information

  • 教授
  • 导师类别:硕士,博士生导师
  • 性别: 男
  • 学位:博士

联系方式

Contact Information

  • 所属院系:计算机学院
  • 所属专业: 计算机科学与技术
  • 邮箱 : yangjufeng@nankai.edu.cn
  • 工作电话 : -

个人简介

Personal Profile

计算机学院教授、博士生导师,天津杰青、南开百青,2015-2016年以国家公派访问学者身份在美国加州大学默塞德分校视觉与学习实验室进行访问研究。中国计算机学会计算机视觉专委会副秘书长,中国计算机视觉大会(CCCV 2017)和Computational Visual Media Conference(CVM 2017)组织委员会主席,已发表TPAMI/CVPR等CCF A类/SCI一区论文30余篇。更多信息请参阅我的主页 http://cv.nankai.edu.cn 


  • 研究方向Research Directions
计算机视觉、机器学习、多媒体计算
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
团队展示

我与许多优秀的学生一起工作过/正在一起工作,他们是: 

1、王聪超(赴台湾清华大学联合培养并获得两校双硕士学位,目前在美国弗吉尼亚理工大学攻读博士学位) 
2、孙博(目前在美国斯蒂文斯理工学院攻读博士学位) 
3、刘帅朋(目前在中科院自动化所担任研究助理)
4、高冠华(目前在渣打科营中心担任软件工程师) 
5、孙明(国家奖学金(2016),南开大学优秀毕业生(2017),南开大学优秀硕士论文(2017),目前在商汤科技担任资深研究员) 
6、沈辉(目前在百度深度学习研究院担任研究工程师) 
7、孙晓晓(国家奖学金(2017),南开大学三好学生(2017),南开大学优秀毕业生(2018),南开大学优秀硕士论文(2018),目前在澳大利亚国立大学攻读博士学位) 
8、梁杰(国家奖学金(2018),CVPR杰出审稿人/紧急审稿人(2018),南开大学优秀毕业生(2019),南开大学优秀硕士论文(2019),目前在香港理工大学攻读博士学位) 
9、折栋宇(国家奖学金(2018),南开大学三好学生(2017),南开大学优秀毕业生(2019),南开大学优秀硕士论文(2019),曾赴英国卡迪夫大学访问交流,目前在清华大学攻读博士学位)
10、付佳美(访问学生[中国民航大学硕士生],国家奖学金(2018),目前在平安科技担任算法工程师)
11、陈丽怡(国家奖学金(2019),南开大学三好学生(2019),南开大学优秀毕业生(2020),目前在南开大学攻读博士学位) 
12、展翅(国家奖学金(2019),目前在VIVO科技担任算法工程师) 
13、伍小平(国家奖学金(2019,2020),韩国SK集团人工智能奖学金(2020),南开大学三好学生(2019, 2020)) 
14、姚星旭(国家奖学金(2020),韩国SK集团人工智能奖学金(2020),南开大学三好学生(2020)) 

15、陈松 
16、翟英杰 
17、王丽娟 
18、冯停磊 
19、刘胜哲 
20、张知诚 
21、文长崧 
22、贾国力 
23、刘佳烜 

科研项目

主持(完成)国家自然科学基金4项、天津自然科学基金2项、其他各类课题多项。

研究成果
近三年代表性论文:
  1. [30] Xingxu Yao, Sicheng Zhao, Yu-Kun Lai, Dongyu She, Jie Liang, Jufeng Yang, APSE: Attention-aware polarity-sensitive embedding for emotion-based image retrieval, IEEE Transactions on Multimedia (TMM), 2021

  2. [29] Xingxu Yao, Dongyu She, Haiwei Zhang, Jufeng Yang, Ming-Ming Cheng, Liang Wang, Adaptive deep metric learning for affective image retrieval and classification, IEEE Transactions on Multimedia (TMM), 2021

  3. [28] Wenya Guo, Ying Zhang, Xiangrui Cai, Lei Meng, Jufeng Yang, Xiaojie Yuan, LD-MAN: Layout-driven multimodal attention network for online news sentiment recognition, IEEE Transactions on Multimedia (TMM), 2021

  4. [27] Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer, Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources, The Web Conference (WWW), 2021

  5. [26] Jufeng Yang, Jie Liang, Kai Wang, Paul L. Rosin, Ming-Hsuan Yang, Subspace clustering via good neighbors, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 42(6): 1537-1544, 2020

  6. [25] Dongyu She, Jufeng Yang, Ming-Ming Cheng, Yu-Kun Lai, Paul L. Rosin, Liang Wang, WSCNet: Weakly supervised coupled networks for visual sentiment classification and detection, IEEE Transactions on Multimedia (TMM), 22(5): 1358-1371, 2020

  7. [24] Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang, Self-paced balance learning for clinical skin disease recognition, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 31(8): 2832-2846, 2020

  8. [23] Dongyu She, Ming Sun, Jufeng Yang, Learning discriminative sentiment representation from strongly- and weakly-supervised CNNs, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 15(3s): Article No.: 96, 2020

  9. [22] Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao, BBS-net: RGB-D salient object detection with a bifurcated backbone strategy network, European Conference on Computer Vision (ECCV), 2020

  10. [21] Sicheng Zhao, Yaxian Li, Xingxu Yao, Weizhi Nie, Pengfei Xu, Jufeng Yang, Kurt Keutzer, Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space, ACM International Conference on Multimedia (MM), 2020

  11. [20] Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer, An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos, AAAI Conference on Artificial Intelligence (AAAI), 2020

  12. [19] Wenya Guo, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, Xiaojie Yuan, Re-Attention for Visual Question Answering, AAAI Conference on Artificial Intelligence (AAAI), 2020

  13. [18] Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang, Simultaneous subspace clustering and cluster number estimating based on triplet relationship, IEEE Transactions on Image Processing (TIP), 28(8): 3973-3985, 2019

  14. [17] Xiaoping Wu, Chi Zhan, Yu-Kun Lai, Ming-Ming Cheng, Jufeng Yang, IP102: A large-scale benchmark dataset for insect pest recognition, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR oral), 2019

  15. [16] Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng, Jufeng Yang, Joint acne image grading and counting via label distribution learning, IEEE/CVF International Conference on Computer Vision (ICCV), 2019

  16. [15] Xingxu Yao, Dongyu She, Sicheng Zhao, Jie Liang, Yu-Kun Lai, Jufeng Yang, Attention-aware polarity sensitive embedding for affective image retrieval, IEEE/CVF International Conference on Computer Vision (ICCV), 2019

  17. [14] Chi Zhan, Dongyu She, Sicheng Zhao, Ming-Ming Cheng, Jufeng Yang, Zero-shot emotion recognition via affective structural embedding, IEEE/CVF International Conference on Computer Vision (ICCV), 2019

  18. [13] Jiaxing Zhao, Jiang-Jiang Liu, Deng-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng, EGNet: Edge guidance network for salient object detection, IEEE/CVF International Conference on Computer Vision (ICCV), 2019

  19. [12] Xiaoxiao Sun, Liyi Chen, Jufeng Yang, Learning from web data using adversarial discriminative neural networks for fine-grained classification, AAAI Conference on Artificial Intelligence (AAAI), 2019

  20. [11] Liyi Chen, Jufeng Yang, Recognizing the Style of Visual Arts via Adaptive Cross-layer Correlation, ACM International Conference on Multimedia (MM), 2019

  21. [10] Jufeng Yang, Xiaoxiao Sun, Yu-Kun Lai, Liang Zheng, Ming-Ming Cheng, Recognition from web data: A progressive filtering approach, IEEE Transactions on Image Processing (TIP), 27(11): 5303-5315, 2018

  22. [9] Jufeng Yang, Jie Liang, Hui Shen, Kai Wang, Paul L. Rosin, Ming-Hsuan Yang, Dynamic match kernel with deep convolutional features for image retrieval, IEEE Transactions on Image Processing (TIP), 27(11): 5288-5302, 2018

  23. [8] Jufeng Yang, Dongyu She, Ming Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang, Visual sentiment prediction based on automatic discovery of affective regions, IEEE Transactions on Multimedia (TMM), 20(9): 2513-2525, 2018

  24. [7] Jufeng Yang, Dongyu She, Yu-Kun Lai, Paul L. Rosin, Ming-Hsuan Yang, Weakly supervised coupled networks for visual sentiment analysis, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR spotlight), 2018

  25. [6] Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin, Clinical skin lesion diagnosis using representations inspired by dermatologist criteria, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2018

  26. [5] Jie Liang, Jufeng Yang, Hsin-Ying Lee, Kai Wang, Ming-Hsuan Yang, Sub-GAN: An unsupervised generative model via subspaces, European Conference on Computer Vision (ECCV), 2018

  27. [4] Jufeng Yang, Liyi Chen, Le Zhang, Xiaoxiao Sun, Dongyu She, Shao-Ping Lu, Ming-Ming Cheng, Historical context-based style classification of painting images via label distribution learning, ACM International Conference on Multimedia (MM), 2018

  28. [3] Jufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang, Retrieving and classifying affective images via deep metric learning, AAAI Conference on Artificial Intelligence (AAAI), 2018

  29. [2] Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng, Automatic model selection in subspace clustering via triplet relationships, AAAI Conference on Artificial Intelligence (AAAI), 2018

  30. [1] Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang, Text emotion distribution learning via multi-task convolutional neural network, International Joint Conference on Artificial Intelligence (IJCAI), 2018

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