2018.8-2019.8 英国纽卡斯尔大学计算机系Open Lab,访问学者
2008.1至今 南京理工大学计算机科学与工程学院 教师
2003.9-2008.1 南京理工大学计算机科学与工程学院,获模式识别与智能系统专业博士学位
1999.9-2003.7 南京理工大学计算机科学与工程学院,获计算机学科与技术专业学士学位
先后承担及参与各类科研项目主要包括:中国博士后科学基金项目“基于机器视觉的驾驶员注意力检测研究”, 自主科研专项计划项目“公共安全图像与视频理解关键技术研究 ”,物联网专项资金项目“ AMC网络控制平台关键技术研究试验”, 国家科技重大专项课题“AMC汽车移动计算技术”, 国家自然科学基金“基于稀疏描述的非结构化环境地形识别研究 ”,国家科技重大专项项目“XX智能控制支撑软件系统”,预研项目“复杂非结构化环境建模技术”,国家自然科学基金项目“基于WEB图像的无监督细粒度识别研究”,装发技术培育项目“智能化DZ精确制导目标识别系统”,装发预研项目“基于XXX的目标检测加速系统”等。
目前主持项目:
1.军委科技委,国防基础加强计划技术领域基金项目,"面向XXX的高并发高速传输技术”,2023.11-2025.11,100万
2.装备发展部,共用技术项日子课题,"面向XX场景的嵌入式高性能智能计算技术”,2023.01-2025.12,60万
3.国防科技工业局,技术基础项目课题,"基于深度学习的XX科技可视化XX智能化处理技术研究",2024.01-2024.12,30万
4.战略支援部队航天系统部,天智杯转化应用项目,"遥感XXX目标细粒度智能识别",2023.08-2024.07,20万
近年发表主要论文如下:
[1]Tao Chen, Yazhou Yao, Lei Zhang, Qiong Wang, Guo-Sen Xie, Fumin Shen: Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation. IEEE Trans. Multim. 25: 1727-1737 (2023)
[2]Chuanyi Zhang, Guosheng Lin, Qiong Wang, Fumin Shen, Yazhou Yao, Zhenmin Tang: Guided by Meta-Set: A Data-Driven Method for Fine-Grained Visual Recognition. IEEE Trans. Multim. 25: 4691-4703 (2023)
[3]Rui Chen, Tao Chen, Qiong Wang, Yazhou Yao: Semi-Supervised Semantic Segmentation With Region Relevance. ICME 2023: 852-857
[4]Tao Chen, Guo-Sen Xie, Yazhou Yao, Qiong Wang, Fumin Shen, Zhenmin Tang, Jian Zhang: Semantically Meaningful Class Prototype Learning for One-Shot Image Segmentation. IEEE Trans. Multim. 24: 968-980 (2022)
[5]Tao Chen, Shui-Hua Wang, Qiong Wang, Zheng Zhang, Guo-Sen Xie, Zhenmin Tang: Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation. IEEE Trans. Multim. 24: 1042-1054 (2022)
[6]Zeren Sun, Huafeng Liu, Qiong Wang, Tianfei Zhou, Qi Wu and Zhenmin Tang. Co-LDL: A Co-training-based Label Distribution Learning Method for Tackling Label Noise, IEEE Transactions on Multimedia, Vol.24: 1093-1104 (2022).
[7]Chuanyi Zhang, Qiong Wang, Guo-Sen Xie, Qi Wu, Fumin Shen, Zhenmin Tang: Robust Learning From Noisy Web Images Via Data Purification for Fine-Grained Recognition. IEEE Trans. Multim. 24: 1198-1209 (2022)
[8]Zeren Sun, Fumin Shen, Dan Huang, Qiong Wang, Xiangbo Shu, Yazhou Yao, Jinhui Tang: PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction. CVPR 2022: 5301-5310
[9]Run Wang, Qiong Wang, Jiawei Yu, Jiaxing Tong: Multi-scale Self-attention-based Few-shot Object Detection for Remote Sensing Images. MMSP 2022: 1-7
[10]Jiaxing Tong, Tao Chen, Qiong Wang, Yazhou Yao: Few-Shot Object Detection via Understanding Convolution and Attention. PRCV (1) 2022: 674-687
[11]Maosheng Sun, Xiaoshui Huang, Zeren Sun, Qiong Wang, Yazhou Yao: Unsupervised Pre-training for 3D Object Detection with Transformer. PRCV (3) 2022: 82-95
[12]Qiong Wang, Youdong Guo , Yazhou Yao. DBFC-Net: a uniform framework for fine-grained cross-media retrieval. Multimedia Systems, Vol.27, No.4, 2021.
[13]Chen Wang, Yazhou Yao, Qiong Wang, Zhenmin Tang. Local Self-Attention on Fine-grained Cross-media Retrieval. MMAsia ’21, Gold Coast, Australia, December 1-3, 2021.
[14]Jiemi Bai,Yazhou Yao, Qiong Wang, Yichao Zhou, Wankou Yang, Fumin Shen. Multi-model network for fine-grained coss-Media retrieval, Proceedings of 3rd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, Nanjing,China, 2020.10.16-18.
[15]Mengdi Wang, Shuyin Tao, Wende Dong, Qiong Wang. Multi-frame image restoration based on a new degradation model of hazy and blurred image, Proceedings of 10th International Conference on Graphics and Image Processing, ICGIP 2018, Chengdu,China, 2018.12.12-14.
培养硕士研究生24人。指导研究生参加第六届中国软件开源大赛暨第三届“计图”人工智能挑战赛获一等奖,第三届“天智杯”人工智能挑战目标细粒度智能识别赛道季军,第十届“泰迪杯”数据挖掘挑战赛获全国特等奖并获泰迪杯,2022年首届粤港澳大湾区(黄埔)国际算法算例大赛获遥感图像目标检测赛道冠军。
http://milab-nust.com/web/graduates.html
智能信息处理与系统实验室(MILab)源自1982年创立的图像处理教研室(现为智能科学与技术系)。http://milab-nust.com/web/index.html
目前主要研究方向为目标检测、语义分割、遥感图像变化检测、标签噪声鲁棒学习、神经网络压缩、地面智能无人系统等,承担军民口项目二十余项,详见http://milab-nust.com/web/researchsubject.html
欢迎对实验室研究方向感兴趣的同学加入!