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基本信息

姓 名 : 杨巨峰

性 别 :

所属部门: 计算机科学与技术系

行政职务:

职 称 : 教授

学 历 : 博士

所学专业: 计算机

办公电话: yangjufeng [AT] nankai.edu.cn

电子邮件: yangjufeng [AT] nankai.edu.cn

研究方向: 计算机视觉、机器学习、多媒体计算

个人简介:

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PAMI/CVPR等CCF A类论文30余篇。更多信息请参阅我的主页 http://cv.nankai.edu.cn

我与许多优秀的学生一起工作过/正在一起工作,他们是:
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)
孙博(目前在美国斯蒂文斯理工学院攻读博士学位)
刘帅朋(目前在中科院自动化所担任研究助理)
高冠华(目前在渣打科营中心担任软件工程师)
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)
沈辉(目前在百度深度学习研究院担任研究工程师)
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) 
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)
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)
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)
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)
展翅(国家奖学金(2019),目前在VIVO科技担任算法工程师)
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)) 
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))
翟英杰
陈松
王丽娟
冯停磊
刘胜哲
张知诚
文长崧
贾国力
刘佳烜

近年代表性论文


  1. S. Zhao, X. Yao, J. Yang, G. Jia, G. Ding, T.-S. Chua, B. W. Schuller, K. Keutzer, Affective image content analysis: Two decades review and new perspectives, TPAMI, 2021
  2. J. Yang, J. Liang, K. Wang, P. L. Rosin, M.-H. Yang, Subspace clustering via good neighbors, TPAMI, 2020
  3. S. Zhao, G. Jia, J. Yang, G. Ding, K. Keutzer, Emotion recognition from multiple modalities: Fundamentals and methodologies, IEEE Signal Processing Magazine, 2021
  4. Y. Zhai, D.-P. Fan, J. Yang, A. Borji, L. Shao, J. Han, L. Wang, Bifurcated backbone strategy for RGB-D salient object detection, TIP, 2021
  5. S. Chen, J.-H. Xue, J. Chang, J. Zhang, J. Yang, Q. Tian, SSL++: Improving self-supervised learning by mitigating the proxy task-specificity problem, TIP, 2021
  6. X. Wu, J. Chang, Y.-K. Lai, J. Yang, Q. Tian, BiSPL: Bidirectional self-paced learning for recognition from web data, TIP, 2021
  7. W. Guo, Y. Zhang, J. Yang, X. Yuan, Re-attention for visual question answering, TIP, 2021
  8. X. Yao, S. Zhao, Y.-K. Lai, D. She, J. Liang, J. Yang, APSE: Attention-aware polarity-sensitive embedding for emotion-based image retrieval, TMM, 2021
  9. X. Yao, D. She, H. Zhang, J. Yang, M.-M. Cheng, L. Wang, Adaptive deep metric learning for affective image retrieval and classification, TMM, 2021
  10. W. Guo, Y. Zhang, X. Cai, L. Meng, J. Yang, X. Yuan, LD-MAN: Layout-driven multimodal attention network for online news sentiment recognition, TMM, 2021
  11. X. Yao, S. Zhao, P. Xu, J. Yang, Multi-source domain adaptation for object detection, ICCV, 2021
  12. D. She, J. Yang, M.-M. Cheng, Y.-K. Lai, P. L. Rosin, L. Wang, WSCNet: Weakly supervised coupled networks for visual sentiment classification and detection, TMM, 2020
  13. J. Yang, X. Wu, J. Liang, X. Sun, M.-M. Cheng, P. L. Rosin, L. Wang, Self-paced balance learning for clinical skin disease recognition, TNNLS, 2020
  14. D.-P. Fan, Y. Zhai, A. Borji, J. Yang, L. Shao, BBS-net: RGB-D salient object detection with a bifurcated backbone strategy network, ECCV, 2020
  15. S. Zhao, Y. Ma, Y. Gu, J. Yang, T. Xing, P. Xu, R. Hu, H. Chai, K. Keutzer, An end-to-end visual-audio attention network for emotion recognition in user-generated videos, AAAI, 2020
  16. S. Zhao, Y. Li, X. Yao, W. Nie, P. Xu, J. Yang, K. Keutzer, Emotion-based end-to-end matching between image and music in valence-arousal space, ACM MM, 2020
  17. X. Wu, C. Zhan, Y.-K. Lai, M.-M Cheng, J. Yang, IP102: A large-scale benchmark dataset for insect pest recognition, CVPR oral, 2019
  18. X. Wu, N. Wen, J. Liang, Y.-K. Lai, D. She, M.-M. Cheng, J. Yang, Joint acne image grading and counting via label distribution learning, ICCV, 2019
  19. X. Yao, D. She, S. Zhao, J. Liang, Y.-K. Lai, J. Yang, Attention-aware polarity sensitive embedding for affective image retrieval, ICCV, 2019
  20. C. Zhan, D. She, S. Zhao, M.-M. Cheng, J. Yang, Zero-shot emotion recognition via affective structural embedding, ICCV, 2019
  21. J. Zhao, J.-J. Liu, D.-P. Fan, Y. Cao, J. Yang, M.-M. Cheng, EGNet: Edge guidance network for salient object detection, ICCV, 2019
  22. J. Liang, J. Yang, M.-M. Cheng, P. L. Rosin, L. Wang, Simultaneous subspace clustering and cluster number estimating based on triplet relationship, TIP, 2019
  23. X. Sun, L. Chen, J. Yang, Learning from web data using adversarial discriminative neural networks for fine-grained classification, AAAI, 2019
  24. L. Chen, J. Yang, Recognizing the style of visual arts via adaptive cross-layer correlation, ACM MM, 2019
  25. J. Yang, D. She, Y.-K. Lai, P. L. Rosin, M.-H. Yang, Weakly supervised coupled networks for visual sentiment analysis, CVPR spotlight, 2018
  26. J. Yang, X. Sun, J. Liang, P. L. Rosin, Clinical skin lesion diagnosis using representations inspired by dermatologist criteria, CVPR, 2018
  27. J. Yang, X. Sun, Y.-K. Lai, L. Zheng, M.-M. Cheng, Recognition from web data: A progressive filtering approach, TIP, 2018
  28. J. Yang, J. Liang, H. Shen, K. Wang, P. L. Rosin, M.-H. Yang, Dynamic match kernel with deep convolutional features for image retrieval, TIP, 2018
  29. J. Yang, D. She, M. Sun, M.-M. Cheng, P. L. Rosin, L. Wang, Visual sentiment prediction based on automatic discovery of affective regions, TMM, 2018
  30. J. Yang, L. Chen, L. Zhang, X. Sun, D. She, S.-P. Lu, M.-M. Cheng, Historical context-based style classification of painting images via label distribution learning, ACM MM, 2018
  31. J. Yang, D. She, Y.-K. Lai, M.-H. Yang, Retrieving and classifying affective images via deep metric learning, AAAI, 2018
  32. J. Yang, J. Liang, K. Wang, Y.-L. Yang, M.-M. Cheng, Automatic model selection in subspace clustering via triplet relationships, AAAI, 2018
  33. J. Liang, J. Yang, H.-Y. Lee, K. Wang, M.-H. Yang, Sub-GAN: An unsupervised generative model via subspaces, ECCV, 2018
  34. J. Yang, M. Sun, X. Sun, Learning visual sentiment distributions via augmented conditional probability neural network, AAAI, 2017
  35. J. Yang, D. She, M. Sun, Joint image emotion classification and distribution learning via deep convolutional neural network, IJCAI, 2017
  36. X. Sun, J. Yang, M. Sun, K. Wang, A benchmark for automatic visual classification of clinical skin disease images, ECCV, 2016
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