目录
硕士报考志愿采集    更新日期:2024年3月23日
姓 名 姚亚洲 性 别
出生年月 1987年7月 籍贯 江苏连云港
民 族 汉族 政治面貌 中国共产党党员
最后学历 博士研究生 最后学位 工学博士
技术职称 教授 导师类别 博、硕导
导师类型 校内 兼职导师
行政职务 Email yazhou.yao@njust.edu.cn
工作单位 计算机科学与工程学院 邮政编码 210094
通讯地址 江苏省南京市玄武区孝陵卫街道200号
单位电话
个人主页 http://www.milab-nust.com/web/currentmembershow.html?id=18
指导学科
学科专业(主) 0812|计算机科学与技术 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向

计算机视觉、多媒体技术、机器学习

获奖、荣誉称号

1. 入选国家高层次人才计划(青年项目),2021

2. 国防科学技术进步奖,二等奖,2023 

3. 军委装备发展部,“智算杯”智能计算基础平台挑战赛:高性能体系结构1组,三等奖,2020

4. 航天系统装备部,“天智杯”人工智能挑战赛:亚米级SAR图像飞机目标细粒度智能识别赛道,季军;可见光图像军事基地设施智能变化检测赛道,优秀奖;亚米级可见光图像飞机目标细粒度智能识别赛道,优秀奖,2023

5. “计图”人工智能挑战赛:语义分割赛道,一等奖(冠军)、二等奖(亚军),2023

6. 粤港澳大湾区国际算法算例大赛,“遥感图像物体目标检测” 一等奖(冠军);“数据选择与标记校正算法设计” 三等奖,2022

7. 戴维斯杯,CVPR2020无监督视频分割挑战赛,亚军,2020

科研项目
在研:
 
6. 中组部,国家高层次人才计划项目,2022.01-2024.12,200万,主持
 
5. 军委科技委,国防基础加强计划技术领域基金项目,“XX变化下的图像匹配识别技术”,2023.01-2024.12,90万,主持
 
4. 横向项目,“人工智能海洋算法开发与测试”,2022.11-2025.12,80万,主持
 
3. 国防科工局,基础科研项目课题,“XX目标探测与识别解译技术”,2022.01-2024.12, 200万,主持
 
2. 装备发展部,“慧眼行动”项目,“智能化XX精确制导目标识别系统”,2021.06-2023.06,185万,主持
 
1. 国家自然科学基金,青年基金,“基于含噪样本数据的细粒度图像识别技术研究”,2022.01-2024.12,30万,主持
 
 
结题:
 
3. 江苏省自然科学基金,青年基金,“基于无严格人工标注数据的细粒度识别技术研究”,已结题,20万,主持
 
2. 装备发展部,预研项目,“基于XXX的目标检测加速系统”,已结题,91万,主持 
 
1. 横向项目,“面向复杂装备体系智能博弈的多智体强化学习技术”,已结题,90万,主持
发表论文

58. Xinhao Cai, Qiuxia LAI, Yuwei Wang, Wenguan Wang*, Zeren Sun, Yazhou Yao*, "Poly Kernel Inception Network for Remote Sensing Detection", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

57. Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao*, "VideoMAC: Video Masked Autoencoders Meet ConvNets", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

56. Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao*, Xian-Sheng Hua, and Heng-Tao Shen, "Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection", IEEE Transactions on Multimedia (TMM), 2024.

55. Tao Chen, Yazhou Yao, Xingguo Huang, Zechao Li, Liqiang Nie and Jinhui Tang, "Spatial Structure Constraints for Weakly Supervised Semantic Segmentation", IEEE Transactions on Image Processing (TIP), 2024.

54. Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao*, "Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning", AAAI Conference on Artificial Intelligence (AAAI), 2024.

53. Gensheng Pei, Fumin Shen, Yazhou Yao, Tao Chen, Xian-Sheng Hua, and Heng-Tao Shen, "Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation", IEEE Transactions on Image Processing (TIP), 2023.

52. Yin Tang, Tao Chen, Xiruo Jiang, Yazhou Yao*, Guo-Sen Xie, and Heng-Tao Shen, "Holistic Prototype Attention Network for Few-shot Video Object Segmentation", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.

51. Tao Chen, Yazhou Yao*, and Jinhui Tang, "Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation", IEEE Transactions on Image Processing (TIP), 2023.

50. Yazhou Yao, Tao Chen, Hanbo Bi, Xinhao Cai, Gensheng Pei, Guoye Yang, Zhiyuan Yan, Xian Sun, Xing Xu, and Hai Zhang, "Automated Object Recognition in High-resolution Optical Remote Sensing Imagery", National Science Review (NSR), 2023 (IF:23.178)

49. Gensheng Pei, Yazhou Yao, Fumin Shen, Dan Huang, Xingguo Huang, and Heng-Tao Shen, "Hierarchical Co-attention Propagation Network for Zero-Shot Video Object Segmentation", IEEE Transactions on Image Processing (TIP), 2023.

48. Junzhu Mao, Yazhou Yao, Zeren Sun, Xingguo Huang, Fumin Shen and Heng-Tao Shen, "Attention Map Guided Transformer Pruning for Occluded Person Re-Identification on Edge Device", IEEE Transactions on Multimedia (TMM), 2023. 

47. Haonan Luo, Guosheng Lin, Fumin Shen, Xingguo Huang, Yazhou Yao, and Hengtao Shen, "Robust-EQA: Robust Learning for Embodied Question Answering with Noisy Labels", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

46. Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao*, and Xian-Sheng Hua, "FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network", IEEE Transactions on Multimedia (TMM), 2023. 

45. Lei Ma, Yuhui Zheng, Zhao Zhang, Yazhou Yao, Xijian Fan, Qiaolin Ye, "Motion Stimulation for Compositional Action Recognition", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.

44. Xiruo Jiang, Sheng Liu, Xili Dai, Guosheng Hu, Xingguo Huang, Yazhou Yao, Guosen Xie, and Ling Shao, "Deep Metric Learning based on Meta-Mining Strategy with Semi-Global Information",  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.  

43. Chuanyi Zhang, Guosheng Lin, Qiong Wang, Fumin Shen, Yazhou Yao, and Zhenmin Tang, "Guided by Meta-set: A Data-driven Method for Fine-Grained Visual Recognition", IEEE Transactions on Multimedia (TMM), 2022. 

42. Gensheng Pei, Yazhou Yao*, Guo-Sen Xie, Fumin Shen, Zhenmin Tang, Jinhui Tang, "Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation", European Conference on Computer Vision (ECCV), 2022.

41. Zeren Sun, Fumin Shen, Dan Huang, Qiong Wang, Xiangbo Shu, Yazhou Yao*, and Jinhui Tang, “PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

40. Zeren Sun, Yazhou Yao*, Xiu-Shen Wei, Fumin Shen, Jian Zhang, and Xian-Sheng Hua, “Boosting Robust Learning via Leveraging Reusable Samples in Noisy Web Data”, IEEE Transactions on Multimedia (TMM), 2022.

39. Tao Chen, Qiong Wang, Lei Zhang, Yazhou Yao*, Guosen Xie, and Fumin Shen, “Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation”, IEEE Transactions on Multimedia (TMM), 2022.

38. Haonan Luo, Guosheng Lin, Yazhou Yao, Zichuan Liu, Fayao Liu, and Zhenmin Tang, “Depth and Video Segmentation Based Visual Attention for Embodied Question Answering”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

37. Zhenhuang Cai, Guo-Sen Xie, Xingguo Huang, Dan Huang, Yazhou Yao, Zhenmin Tan, “Robust learning from noisy web data for fine-Grained recognition”, Pattern Recognition (PR),  2022.

36. 丁静,舒祥波,黄捧,宋砚,姚亚洲,“基于多模态多粒度图卷积网络的老年人日常行为识别”,软件学报,2021.

35. Zhenbo Song, Jianfeng Lu, Yazhou Yao, and Jian Zhang, “Self-Supervised Depth Completion from Direct Visual-LiDAR Odometry in Autonomous Driving”, IEEE Transactions on Intelligent Transportation Systems (TITS), 2021. 

34. Zeren Sun, Yazhou Yao*, Xiu-Shen Wei*, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, and Heng Tao Shen, “Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach”, IEEE International Conference on Computer Vision (ICCV), 2021.

33. Guo-Sen Xie, Jie Liu, Huan Xiong, Yazhou Yao, and Ling Shao, “Few-Shot Semantic Segmentation with Cyclic Memory Network”, IEEE International Conference on Computer Vision (ICCV), 2021.

32. Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, and Xiansheng Hua, “Dense Semantics-Assisted Networks For Video Action Recognition”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.

31. Jian Dong, Wankou Yang, Yazhou Yao, and Fatih Porikli, “Knowledge Memorization and Generation for Action Recognition in Single Image”, Pattern Recognition (PR Journal), 2021.

30. Chuanyi Zhang, Yazhou Yao*, Xing Xu, Jie Shao, Jingkuan Song, Zechao Li, Zhenmin Tang, “Extracting Useful Knowledge form Noisy Web Images via Data Purification for Fine-Grained Recognition”, ACM International Conference on Multimedia (ACM MM), 2021.

29. Ji Zhang, Jingkuan Song, Yazhou Yao, Lianli Gao, “Curriculum-Based Meta-learning”, ACM International Conference on Multimedia (ACM MM), 2021.

28. Jingran Zhang, Xing Xu, Fumin Shen, Yazhou Yao, Jie Shao, Xiaofeng Zhu, “Video Representation Learning with Graph Contrastive Augmentation”, ACM International Conference on Multimedia (ACM MM), 2021.

27. Yifan Ren, Xing Xu, Fumin Shen, Yazhou Yao, Huimin Lu, “CAA: Candidate-Aware Aggregation for Temporal Action Detection”, ACM International Conference on Multimedia (ACM MM), 2021.

26. Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang, “Jo-SRC: A Contrastive Approach for Combating Noisy Labels”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

25. Yazhou Yao, Tao Chen, Guosen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang, “Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

24. Tao Chen, Guosen Xie, Yazhou Yao*, Qiong Wang, Fumin Shen, Zhenmin Tang, and Jian Zhang, “Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation”, IEEE Transactions on Multimedia (TMM), 2021.

23. Huafeng Liu, Chuanyi Zhang, Yazhou Yao*, Xiu-Shen Wei, Fumin Shen, Zhenmin Tang, and Jian Zhang, “Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples”, IEEE Transactions on Multimedia (TMM), 2021.

22. Lu Zhang, Jialie Shen, Jian Zhang, Jingsong Xu, Zhibin Li, Yazhou Yao, Litao Yu, “Multimodal Marketing Intent Analysis for Effective Targeted Advertising”, IEEE Transactions on Multimedia (TMM), 2021.

21. Haofeng Zhang, Yifan Gu, Yazhou Yao, Zheng Zhang, Li Liu, Jian Zhang, Ling Shao, “Deep Unsupervised Self-evolutionary Hashing for Image Retrieval”, IEEE Transactions on Multimedia (TMM), 2021.

20. Guo-Sen Xie, Xu-Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, and Ling Shao, “VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning”, IEEE Transactions on Image Processing (TIP), 2021.

19. Zeren Sun, Yazhou Yao*, Jimin Xiao, Lei Zhang, Zhenmin Tang, and Jian Zhang, “Exploiting Textual Queries for Dynamically Visual Disambiguation”, Pattern Recognition (PR Journal), 2021.

18. Chuanyi Zhang, Yazhou Yao*, Xiangbo Shu, Zechao Li, Zhenmin Tang, Qi Wu, “Data-driven Meta-set Based Fine-Grained Visual Recognition”, ACM International Conference on Multimedia (ACM MM), 2020.

17. Zeren Sun, Xian-sheng Hua, Yazhou Yao*, Xiu-shen Wei, Guosheng Hu, Jian Zhang, “CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning”, ACM International Conference on Multimedia (ACM MM), 2020.

16. Benyi Hu, Renjie Song, Xiu-Shen Wei, Yazhou Yao, Xiansheng Hua, and Yuehu Liu, “PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks”, ACM International Conference on Multimedia (ACM MM), 2020.

15. Yazhou Yao, Xian-sheng Hua, Guanyu Gao, Zeren Sun, Zhibin Li, Jian Zhang, “Bridging the Web Data and Fine-Grained Visual Recognition via Alleviating Label Noise and Domain Mismatch”, ACM International Conference on Multimedia (ACM MM), 2020.

14. Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, and Heng-Tao Shen, “Towards Automatic Construction of Diverse, High-quality Image Datasets”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.

13. Yazhou Yao, Fumin Shen, Guosen Xie, Li Liu, Fan Zhu, Jian Zhang, Heng-Tao Shen, “Exploiting Web Images for Multi-output Classification: From Category to Subcategories”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.

12. Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, and Xin Gao, “Approximate Kernel Selection via Matrix Approximation”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.

11. Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu, “Field-wise Learning for Multi-field Categorical Data”, Neural Information Processing Systems (NIPS), 2020.

10. Chuanyi Zhang, Yazhou Yao*, Guosen Xie, Xiangbo Shu, Tianfei Zhou, Zheng Zhang, Fumin Shen, Zhenmin Tang, “Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification”, AAAI Conference on Artificial Intelligence (AAAI), 2020.

9. Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li, Ling Shao, “Motion-Attentive Transition for Zero-Shot Video Object Segmentation”, AAAI Conference on Artificial Intelligence (AAAI), 2020.

8. Guosen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao, “Region Graph Embedding Network for Zero-Shot Learning”, European Conference on Computer Vision (ECCV), 2020.

7. Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang and Ling Shao, “Extracting Multiple Visual Senses for Web Learning”, IEEE Transactions on Multimedia (TMM), 2019.

6. Yazhou Yao, Fumin Shen, Jian Zhang, Li Liu, Zhenmin Tang and Ling Shao, “Extracting Privileged Information for Enhancing Classifier Learning”, IEEE Transactions on Image Processing (TIP), 2019.

5. Guo-Sen Xie, Li Liu, Xiao-Bo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, and Ling Shao, “Attentive Region Embedding Network for Zero-shot Learning”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

4. Haonan Luo, Guosheng Lin, Zichuan Liu, Fayao Liu, Zhenmin Tang, and Yazhou Yao, “SegEQA: Video Segmentation based Visual Attention for Embodied Question Answering”, IEEE International Conference on Computer Vision (ICCV), 2019.

3. Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Pu Huang and Zhenmin Tang, “Discovering and Distinguishing Multiple Visual Senses for Polysemous Words”, AAAI Conference on Artificial Intelligence (AAAI), 2018.

2. Yazhou Yao, Jian Zhang, Fumin Shen, Xian-Sheng Hua, Jingsong Xu and Zhenmin Tang, “Exploiting Web Images for Dataset Construction: A Domain Robust Approach”, IEEE Transactions on Multimedia (TMM), 2017.

1. Yazhou Yao, Xiansheng Hua, Fumin Shen, Jian Zhang and Zhenmin Tang, “A Domain Robust Approach for Image Dataset Construction”, ACM Conference on Multimedia (ACM MM), 2016.

指导学生情况

博士研究生

裴根生,蔡镇鍠,唐印,蔡鑫浩,盛猛猛,姜希若,毛君竹,周波,沈阳,杨振宇,段振亚,赵欣阳

硕士研究生

王峥益,陈蕊,郑睿智,杨维静,李婷婷,王钰炜,张旺,王诗音,高雨浩,高乙友,徐瑞,彭世昱,徐建强,金舒文,宋春颖

我的团队

http://www.milab-nust.com