个人信息

姓  名: 周全 性  別: 导师类型: 博士生导师
技术职称: 教授 电子邮箱: quan.zhou@njupt.edu.cn
学术型博士招生学科: (081000)信息与通信工程
学术型硕士招生学科: (081000)信息与通信工程
专业型硕士招生类别(领域): (085400)电子信息
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个人简介:

周全,湖北鄂州人,IEEE Senior MemberCCF/CSIG杰出会员,南京邮电大学教授、博士生导师,日本九州工业大学客座教授(2018),美国天普大学客座教授(2020),东南大学兼职教授(2024),中国自动化学会会员(2018),中国人工智能学会会员(2018),中国计算机学会计算机视觉专委会委员(2017),中国自动化学会模式识别与机器智能专业委员会委员(2018),中国人工智能学会模式识别专业委员会委员(2018),中国图像图形学会机器视觉专业委员会委员(2018),中国图像图形学会视觉大数据专业委员会委员(2018),江苏省自动化学会模式识别专业委员会常务委员(2016),江苏省计算机学会图形图像专业委员会委员(2016)。先后入选国家自然科学基金青年基金项目(2015)、全国高校黄大年式教师团队 (2017)、中国博士后特别资助计划(2017)、江苏省双创团队 (2018)、江苏省青蓝工程青年骨干教师(2020)、江苏省科技副总  (2023)  、江苏省333高层次人才 (2023)。先后承担国家自然科学基金、江苏省自然科学基金、华为基础科技专项等科技项目30余项。在IEEE TIP, TMI, TMM, TNNLS, SCIS, ASC, PR等高水平期刊发表论文100余篇,其中ESI高被引论文14篇,ESI热点论文5篇。多次获国际会议最具影响力论文奖、最佳论文奖、最佳学生论文奖、最佳论文展示奖等 (IEEE ICIP 2024, IEEE/SPIE ISAIR 2024, EAI ROSNET 2018),授权国家发明专利8件,荣获科睿唯安全球高被引学者 (2022-2024)Elsevier中国高被引学者(2022-2024)PR最佳编委奖 (2024)。受邀担任IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, 以及Computer and Electrical Engineering期刊编辑,先后担任IEEE Transactions on Fuzzy SystemsIEEE Transactions on MultimediaVisual IntelligenceMultiple Tools and Applications等多个期刊客座编辑。担任IEEE ICME 2019-2025PRCV 2022-2025, IEEE/SPIE ISAIR 2019-2025, IEEE WCSP 2016-2025ACPR 2019-2025等国际会议主席或论坛主席。近几年来研究兴趣:人工智能、深度学习、计算机视觉、视觉语言大模型、模式识别、智能信号处理等。对优秀硕士生,提供到DeepSeek、腾讯、阿里巴巴、华为、中兴、字节跳动等公司的实习机会,以及国外高校的访问机会。团队欢迎身体健康、乐观开朗、积极向上的同学报考。

 

希望加入本课题组的同学可登录个人主页:https://njupt-quanzhou.github.io/quanzhou.github.io/index.html  了解更多本人信息,并请仔细阅读学生申请须知







研究领域:

主要研究方向:计算机视觉、深度学习、 视觉语言大模型 、模式识别、智能信号处理、人工智能与智能计算。

 

拟招收研究生方向: 1、计算机科学技术 2、通信与信息系统 3、信号与信息处理 4、电子与信息工程 5、模式识别与智能系统。







科研项目:

20. 国家自然科学基金面上项目,62476139,基于视觉-语言大模型的鲁棒性弱监督语义分割研究,2025.01~2029.1250

19. 江苏省科技重大专项子课题,深海立体观测网高可靠性装备研发,2025.08-2028.08200 

18. 工信部科技创新重大专项,无人水下环境中的图像感知系统研究,2024.12-2026.12,100

17. 国家重点实验室开放课题,基于视觉-语言大模型的鲁棒性森林火灾预测研究,2024.10~2026.1022

16. 国家重点实验室开放课题,面向噪声标签的鲁棒性弱监督图像语义分割研究,2023.12~2026.1215

15. 国家重点实验室开放课题,面向图像大数据的鲁棒性弱监督语义分割研究,2024.05~2026.0515

14. 国家留学基金委访问计划项目,201908320072Research on weakly supervised image understanding, 2019/12-2020/12, 16

13. 华为基础研究计划项目,Research on deep meta-learning for robust writing and reading on crossbar devices2019/11-2021/1150

12. 国家自然科学基金面上项目,61876093,基于关联特性的弱监督式海量图像语义分割研究,2019/01-2022/1265

11. 国家自然科学基金国际(地区)合作与交流项目,61881240048,第三届人工智能与机器人国际会议暨第一届“人工智能及其在下一代物联网中的应用”中日双边研讨会,2018/01-2018/124.5万元

10. 华为创新研究计划项目(HIRP OPEN)Research on new algorithm for robust deep neural networks2018/11-2019/1120

9. 国家自然科学基金青年基金项目,61401228,融合多尺度上下文的图像标注研究,2015/01-2017/1225

8. 江苏省自然科学基金面上项目,BK20181393,面向海量图像与语义类别的弱监督图像语义分割研究,2018/11-2021/1110

7. 南京信息工程大学中美计算机科学研究中心开放课题项目,基于低秩矩阵填充的弱监督式图像理解与物体分割,2016/11-2017/1110

6. 国家博士后特别资助项目,2017T100392,面向低秩矩阵填充的弱监督式海量图像标注研究,2017/11-2019/1115 

5. 国家博士后资助项目,2015M581841,基于连续贝叶斯更新模型的场景理解研究 ,2015/11-2017/117

4. 江苏省博士后资助项目,1501019A,面向连续贝叶斯更新模型的图像语义分割研究,2015/11-2017/115

3. 国家自然科学基金优秀青年基金,61322104,宽带无线网络资源优化,2014/01-2016/12100

2.  国家自然科学基金面上项目基金,61671253,基于稀疏低秩分解的高效视频传输技术研究,2017/01-2020/1265

1. 江苏省自然科学青年基金,BK20160908,基于因果关系的复杂视频监控场景行为分析模型研究,2016/07-2019/0620









代表性学术成果:

一、期刊论文(*表示通信作者)

46. Quan Zhou*, Huimin Shi, Weikang Xiang, Bin Kang, Longin Jan Latecki. DPNet: dual-path network for real-time object detection with lightweight attention. IEEE Transactions on Neural Networks and Learning Systems, early access, DOI: 10.1109/TNNLS.2024.3376563,2024. (SCI/EI, JCR 一区, CCF–B)

45. Quan Zhou*, Linjie Wang, Guangwei Gao*, Kang Bin, Weihua Ou, Huimin Lu. Boundary-guided lightweight semantic segmentation with multi-scale semantic context. IEEE Transactions on Multimedia, 26(4):7887–7900,2024. (SCI/EI, JCR 一区, CCF–B)

44. Yuwei Mo, Pengfei Zuo, Quan Zhou*, Zhiyi Mo, Yawen Fan, Suofei Zhang, Bin Kang. PWLT: pyramid window-based lightweight transformer for image classification. Computers and Electrical Engineering, 116(4):109209-109219, 2024. (SCI/EI, JCR 三区)

43. Weikang Xiang, Quan Zhou*, Jingcheng Cui, Zhiyi Mo, Xiaofu Wu, Weihua Ou, Jingdong Wang, Wenyu Liu. Weakly supervised semantic segmentation based on deep learning. Journal of Image and Graphics,  29(5):1146-1168, 2024. 

项伟康,周全*,崔景程,莫智懿,吴晓富,欧卫华,王井东,刘文予基于深度学习的弱监督语义分割方法综述中国图象图形学报, 29(5):1146-1168, 2024. CCF推荐计算领域高质量科技期刊分级目录T2类)

42. Zhangyin Hu, Quan Zhou*, Mingju Chen, Jingcheng Cui, Xiaofu Wu, Baoyu Zheng. Survey of image deblurring. Journal of Image and Graphics, 29(4):841–861, 2024.

胡张颖,周全*,陈明举,崔景程,吴晓富,郑宝玉图像去模糊研究综述中国图象图形学报, 29(4):841–861, 2024. (CCF推荐计算领域高质量科技期刊分级目录T2类,2024年《中国图象图形学学报最美封面论文奖》)

41. Weihua Ou*, Jiaxin Deng, Jianping Gou, Quan Zhou*, Yufeng Shi, and Xinge You. Cross-modal generation and pair correlation alignment hashing. IEEE Transactions on Intelligent Transportation Systems, 24(3):3018–3026, 2023. (SCI/EIJCR 一区,CCF-B)

40. Yuejie Li*, Jintong Cai, Quan Zhou, and Huimin Lu. Joint semantic-instance segmentation method for intelligent transportation system. IEEE Transactions on Intelligent Transportation Systems, 24(12):15540–15547, 2023. (SCI/EIJCR 一区,CCF-B)

39. Bin Kang*, Dong Liang, Junxi Mei, Xiaoyang Tan, Quan Zhou, and Dengyin Zhang. Robust RGB-T tracking via graph attention based bilinear pooling. IEEE Transactions on Neural Networks and Learning Systems, 34(12):9900–9911, 2023. (SCI/EIJCR 一区,CCF-B)

38. Xiaofu Wu*, Suofei Zhang, Quan Zhou, Zheng Yang, Chunming Zhao, and Longin Jan Latecki. Entropy minimization versus diversity maximization for domain adaptation. IEEE Transactions on Neural Networks and Learning Systems, 34(6):2896–2907, 2023. (SCI/EIJCR 一区,CCF-B)

37. Quan Zhou*, Zhenhan Sun, Linjie Wang, Bin Kang, Suofei Zhang, and Xiaofu Wu. Mixture lightweight Transformer for scene understanding. Computers and Electrical Engineering, 108(3):108698–108712, 2023. (SCI/EIJCR 三区)

36. Quan Zhou*, Yong Qiang, Huimin Shi, Xiaofu Wu, and Longin Jan Latecki. BANet: boundary-assistant encoder-decoder network for semantic segmentation. IEEE Transactions on Intelligent Transportation Systems, 23(12):25259–25270, 2022. (SCI/EIJCR 一区,CCF-B)

35. Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Quan Zhou, Tongliang Liu, and Zongyuan Ge*. Improving medical images classification with label noise using dual-uncertainty estimation. IEEE Transactions on Medical Imaging, 41(6):1533-1546, 2022. (SCI/EIJCR 一区,CCF-B)

34. Quan Zhou*, Qianwen Wang, Yunchao Bao, Lingjun Kong, Xin Jin, and Weihua Ou. LAEDNet: a lightweight attention encoder-decoder network for ultrasound medical image segmentation. Computers and Electrical Engineering, 99(8):107777-107787, 2022. (SCI/EIJCR 三区)

33. Quan Zhou*, Xiaofu Wu, Suofei Zhang, Bin Kang, Zongyuan Ge, and Longin Jan Latecki. Contextual ensemble network for semantic segmentation. Pattern Recognition, 122(12):108290-1083012022.

(SCI/EIJCR 一区, CCF-B) 

32. Haixia Xiong, Weihua Ou*, Zengxian Yan, Jianping Gou, Quan Zhou, and Anzhi Wang. Modality-specific matrix factorization hashing for cross-modal retrieval. Journal of Ambient Intelligence & Humanized Computing, 13(11):5067–5081, 2022. (SCI/EIJCR 四区)

31. Xin Jin*, Pengyue Deng, Xinxin Li, Kejun Zhang, Xiaodong Li, Quan Zhou, Shujiang Xie, and Xi Fang. Sun-sky model estimation from outdoor images. Journal of Ambient Intelligence & Humanized Computing, 13(11):5151–5162, 2022. (SCI/EIJCR 四区)

30. Wen Su, Haifeng Zhang, Wenzhen Yang, Quan Zhou*, and Zengfu Wang. Monocular depth estimation using information exchange network. IEEE Transactions on Intelligence Transport System, 22(6):3491-3503, 2021. (SCI/EIJCR 二区)

29. Xin Jin*, Xiaodong Li, Quan Zhou. Learning HDR Illumination from LDR Panorama Images. Computers and Electrical Engineering, 91(11):107057-107064, 2021. (SCI/EIJCR 三区)

28. Quan Zhou*, Jie Wang, Jia Liu, Shenghua Li, Weihua Ou, and Xin Jin. RSANet: towards Real-Time Object Detection with Residual Semantic-Guided Attention Feature Pyramid Network. Mobile Networks and Applications, 26(4):77–87, 2021. (SCI/EIJCR 三区)

27. Quan Zhou*, Yu Wang, Yawen Fan, Xiaofu Wu, Suofei Zhang, Bin Kang, and Longin Jan Latecki. AGLNet: towards real-time semantic segmentation of Self-driving images via attention-guided lightweight network. Applied Soft Computing, 96(11):106682-106694, 2020. (SCI/EIJCR 二区,CCF-B) 

26. Quan Zhou*, Zhengjie Hu, Guang Wei Gao, Wen Bin Yu, Xin Jin, Hui Min Lu, Bao Yu Zheng, and Longin Jan Latecki. Learning adaptive contrast combinations for visual saliency detection. Multimedia Tools and Applications, 79(21): 14419-14447, 2020. (SCI/EI, JCR 三区,CCF-C)

25. Yawen Fan*, Quan Zhou, and Bin Kang. Activity interaction detection by using causal discovery with order estimation. IEEE Access, 7(9):173968-173976, 2019. (SCI/EI, JCR 三区,CCF-C)

24. Bin Kang*, Quan Zhou, and Min Lin. Visual tracking via multi-layer factorized correlation filter. IEEE Signal Processing Letters, 26(12): 1763-17672019. (SCI/EIJCR 三区)

23. Suofei Zhang*, Quan Zhou, and Xiaofu Wu. Fast dynamic routing based on weighted kernel density estimation. Concurrency and Computation: Practice and Experience, 33(4):1-11, 2019. (SCI/EI, JCR 三区)

22. Weihua Ou*, Jianping Gou, Quan Zhou, and Fei Long. Discriminative multiview nonnegative matrix factorization for classification. IEEE Access, 7(4):60947-60956, 2019. (SCI/EI, JCR 二区)

21. Quan Zhou*, Yu Wang, Jia Liu, Xin Jin, and Longin Jan Latecki. An open-source project for real-time image semantic segmentation. SCIENCE CHINA Information Sciences, 62(12): 227101-2271022019.(SCI/EI, JCR 三区,CCF-A)

20. Xiong Jian*, Long Xianzhong, Ran Shi, Miaohui Wang, Quan Zhou, and Guan Gui. Periodic enhanced frame based long-short-term reference in HEVC for conference and surveillance video coding. IEEE Access, 7(11):46422-46433, 2019. (SCI/EI, JCR 二区)

19. Quan Zhou*, Wenbing Yang, Guangwei Gao, Weihua Ou, Huimin Lu, Jie Chen, and Longin Jan Latecki. Multi-scale deep context convolutional neural networks for semantic segmentation. World Wide Web-Internet and Web Information Systems, 22(2):555-570, 2019. (SCI/EIJCR 二区,CCF-B)

18. Xiao Ma, Qiao Liu, Weihua Ou*, and Quan Zhou. Visual object tracking via coefficients constrained exclusive group lasso. Machine Vision and Application, 29(5): 749-763, 2018. (SCI/EIJCR 三区,CCF-C)

17. Guangwei Gao*, Zangyi Hu, Songsong Wu, Dong Yue, Quan Zhou, and Pu Huang. Robust low-resolution face recognition via low-rank representation and locality-constrained regression. Computers and Electrical Engineering, 70:968-977, 2018. (SCI/EIJCR 三区) 

16. Weihua Ou*, Xiao Luan, Jianping Gou, Quan Zhou, Wenjun Xiao, Xiangguang Xiong, Wu Zeng. Robust discriminative nonnegative dictionary learning for occluded face recognition. Pattern Recognition Letters, 107:41-49, 2018. (SCI/EIJCR 三区,CCF-C)

15. Quan Zhou*, Wenbin Yu, Yawen Fan, Hu Zhu, Xiaofu Wu, Weihua Ou, Weiping Zhu, and Longin Jan Latecki. Face recognition via fast dense correspondence. Multimedia Tools and Applications, 77(9):10501-10519, 2018. (SCI/EIJCR 三区,CCF-C)

14. Yawen Fan*, Quan Zhou, Wenjing Yue, Wei-Ping Zhu. A dynamic causal topic model for mining activities from complex videos. Multimedia Tools and Applications,77(9): 10669-10684, 2018. (SCI/EIJCR 三区,CCF-C)

13. Lizhen Deng*, Hu Zhu, Quan Zhou, Yansheng Li. Adaptive top-hat filter based on quantum genetic algorithm for infrared small target detection. Multimedia Tools and Applications, 77(9):10539-10551, 2018. (SCI/EIJCR 三区,CCF-C)

12. Huimin Lu*, Yin Zhang, Yujie Li, Quan Zhou, Ryunosuke Tadoh, Tomoki Uemura, Hyongseop Kim, and Seiichi Serikawa. Depth map reconstruction for underwater kinect camera using inpainting and local image mode filtering. IEEE Access, 5(5):7115-7122, 2017. (SCI/EI, JCR二区)

11. Qiao Liu, Xiao Ma, Weihua Ou*, Quan Zhou. Visual object tracking with online sample selection via lasso regularization. Signal, Image and Video Processing, 11(5): 881-888, 2017. (SCI/EIJCR 四区)

10. Shu Cai*, Quan Zhou, and Hongbo Zhu. A sum-of-squares and semidefinite programming approach for maximum likelihood DOA estimation. Sensors, 16(12): 2191-2204, 2016. (SCI/EI, JCR 二区)

9. GuangWei Gao*, Xiao Yuan Jing, Pu Huang, Quan Zhou, Song Song Wu, and Dong Yue. Locality-constrained double low-rank representation for effective face hallucination. IEEE Access, 4(10):8775-8786, 2016. (SCI/EI, JCR 二区)

8. Quan Zhou*, Baoyu Zheng, Weiping Zhu, and Longin Jan Latecki. Multi-scale context for scene labeling via flexible segmentation graph. Pattern Recognition, 59(2016): 312-324, 2016. (SCI/EI, JCR 一区, CCF-B)

7. Quan Zhou*, Shafiq ur Rehman, Yu Zhou, and Baoyu Zheng. Face recognition using dense SIFT feature alignment. Chinese Journal of Electronics, 25(6): 1034-1039, 2016. (SCI/EI, JCR 四区)

6. Quan Zhou*. Object-based attention: saliency detection using the contrast via background prototypes. Electronics Letters, 50(14): 997-999, 2014. (SCI/EI, JCR 三区)

5. Quan Zhou*, Jun Zhu and Wenyu Liu. Learning dynamic hybrid markov random field for image labeling. IEEE Transactions on Image Processing, 22(6):2219-2232, 2013. (SCI/EI, JCR 一区, CCF-A)

4. Jun Zhu, Quan Zhou*, Weijia Zou, Rui Zhang, and Wenjun Zhang. A generalized pyramid matching kernel for human action recognition in realistic videos. Sensors, 13(11): 14398-14416, 2013. (SCI/EI, JCR 二区)

3. Quan Zhou*,Xin Wei, Jianxin Chen, Baoyu Zheng. Face recognition algorithm based on the alignment of SIFT features. Journal of Electronics & Information Technology, 37(8): 1913-1919, 2015.

周全*,魏昕,陈建新,郑宝玉基于SIFT特征对齐的人脸识别算法电子与信息学报, 37(8): 1913-1919, 2015. (EI)

2. Quan Zhou*, Lei Wang, Liang Zhou, Baoyu Zheng. Contextual based image labeling. Acta Automatica Sinica, 40(12): 2944-2949, 2014. 

周全*,王磊,周亮,郑宝玉.基于上下文的图像标注自动化学报, 40(12): 2944-2949, 2014. (EI)

1. Quan Zhou* and Liang Zhou. Compressive sensing for video coding: a brief overview. IEEE COMSOC MMTC E-Letter, 9(2): 20-22, 2014.    


二、会议论文(*表示通信作者)

40. Chenfeng Jiang, Quan Zhou*, Zhiyi Mo, Jing Wang, Yawen Fan, Xiaofu Wu, Suofei Zhang, and Bin Kang. DNAT: multi-scale Transformer with dilated neighborhood attention for image classification. IEEE International Conference on Wireless Communications and Signal Processing, 2023, pp. 1-6. (EI)

39. Linjie Wang , Quan Zhou*, Xiaofu Wu, and Longin Jan Latecki. DRBANet: a lightweight dual-resolution network for semantic segmentation with boundary auxiliary. IEEE International Conference on Image Processing, 2022, pp. 531-535. (EI, CCF-C)

38. Bin Kang*, Fan Wu, Xin Li, and Quan Zhou. Progressive training enabled fine-grained recognition. IEEE International Conference on Image Processing, 2022, pp. 531-535. (EI, CCF-C)

37. Huimin Shi, Quan Zhou*, Xiaofu Wu, and Longin Jan Latecki. DPNet: lightweight dual-path network for object detection with efficient self-attention. IEEE International Conference on Image Processing, 2022, pp. 771-775. (EI, CCF-C)

36. Yimo Wang, Songlin Du, Quan Zhou, and Bin Kang*. Multiple stream oriented siamese network for RGB-T tracking. IEEE International Conference on Wireless Communications and Signal Processing, 2021, pp. 1-5. (EI)

35. Jia Lin, Suofei Zhang*, Jiangping Chen, Xiaofu Wu and Quan Zhou. Efficient person re-identification with multi-scale feature fusion. IEEE International Conference on Wireless Communications and Signal Processing, 2021, pp. 1-5. (EI)

34. Yong Qiang, Quan Zhou*, Huimin Shi, , Weihua Ou and Longin Jan Latecki. BASNet: improving semantic segmentation via boundary-assistant symmetrical network. IEEE/SPIE International Symposium on Artificial Intelligence and Robotics, 2021, pp. 1-11. (EI)

33. Huitong Pan, Quan Zhou, and Longin Jan Latecki*. SGUNet: Semantic guided UNet for thyroid nodule segmentation. IEEE International Symposium on Biomedical Imaging, 2021, pp. 630-634. (EI)

32. Jie Wang, Quan Zhou*, Dechun Cong, , and Weihua Ou. ECDet: an efficient convolutional network for real-time object detection. IEEE/SPIE International Symposium on Artificial Intelligence and Robotics, 2020, pp. 1-12. (EI)

31. Shenghua Li, Quan Zhou*, Jia Liu, Jie Wang, Yawen Fan, Xiaofu Wu, and Longin Jan Latecki. DCM: a dense-attention context module for semantic segmentation. IEEE International Conference on Image Processing, 2020, pp. 1431-1435. (EI, CCF-C)

30. Jia Liu, Quan Zhou*, Yong Qiang, Bin Kang, Xiaofu Wu, and Boayu Zheng. FDDWNET: a lightweight convolutional neural network for real-time semantic segmentation. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020, pp. 2373-2377. (EI, CCF-B)

29. Yu Wang, Quan Zhou*, Jia Liu, Jian Xiong, Guangwei Gao, Xiaofu Wu, and Longin Jan Latecki. LEDNET: a lightweight encoder-decoder network for real-time semantic segmentation. IEEE International Conference on Image Processing, 2019, pp. 1860-1864. (EI, oral presentation, CCF-C)

28. Wan Ding, Bin Kang*, Quan Zhou, Min Lin, Suofei Zhang. Grayscal-thermal tracking via canonical correlation analysis based inverse sparse representation. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019, pp. 3985-3989. (EI, CCF-B)

27. Dechun Cong, Quan Zhou*, Jie Cheng, Xiaofu Wu, Suofei Zhang, Weihua Ou, and Huimin Lu. CAN: contextual aggregating network for semantic segmentation. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019, pp. 1892-1896. (EI, CCF-B)

26. Yu Wang and Quan Zhou*. ESNet: an efficient symmetric network for real-time semantic segmentation. International Conference on Patten Recognition and Computer Vision, 2019, pp. 41–52. (EI)

25. Weihua Ou*, Jianping Gou, Quan Zhou and Fei Long. Discriminative multiview nonnegative matrix factorization for classification. IEEE/SPIE International Symposium on Artificial Intelligence and Robotics, 2019, pp. 60947-60956. (EI)

24. Quan Zhou*, Jinwen Wu, Yawen Fan, Suofei Zhang, Xiaofu Wu, Baoyu Zheng, , Huimin Lu, and Longin Jan Latecki. Weighted linear multiple kernel learning for saliency detection. EAI International Conference on Robotic Sensor Networks, 2019, pp. 201–213. (EI, Best paper)

23. Xin Jin*, Shuyun Zhu, Le Wu, Geng Zhao, Xiaodong, Li, and Quan Zhou. Multi-level chaotic maps for 3D textured model encryption. EAI International Conference on Robotic Sensor Networks, 2019, pp. 107–117. (EI)

22. Quan Zhou*, Yawen Fan, Weihua Ou, and Huimin Lu. Saliency detection via objectness transferring. IEEE/SPIE International Symposium on Artificial Intelligence and Robotics, 2019, pp. 201–211. (EI)

21. Ruisheng Xuan, Weihua Ou*, Quan Zhou, Yongfeng Cao, Hua Yang, Xiangguang Xiong, and Fangming Ruan. Semantics consistent adversarial cross-modal retrieval. IEEE/SPIE International Symposium on Artificial Intelligence and Robotics, 2019, pp. 463–472. (EI)

20. Yuzhe Sun, Quan Zhou and Xiaofu Wu*. Domain adaptation for semantic segmentation with conditional random field. IEEE/SPIE International Symposium on Artificial Intelligence and Robotics, 2019, pp. 473–483. (EI)

19. Suofei Zhang*, Quan Zhou and Xiaofu Wu. Fast dynamic routing based on weighted kernel density estimation. IEEE/SPIE International Symposium on Artificial Intelligence and Robotics, 2019, pp. 301–309. (EI)

18. Wenbing Yang, Quan Zhou*, Jingnan Lu, Xiaofu Wu, Suofei Zhang, and Longin Jan Latecki. Dense deconvolutional network for semantic segmentation. IEEE International Conference on Image Processing, 2018, pp. 1573-1577. (EI, CCF-C)

17. Yan Wang, Xiaofu Wu*, Yuanyuan Chang, Suofei Zhang, Quan Zhou, and Jun Yan. Batch normalization: is learning an adaptive gain and bias necessary?. IEEE International Conference on Machine Learning and Computing, 2018, pp. 36-40. (EI)

16. Wenbin Yang, Quan Zhou*, Yawen Fan, Guangwei Gao, Songsong Wu, Weihua Ou, Huiming Lu, Jie Cheng, and Longin Jan Latecki. Deep context convolutional neural networks for semantic segmentation. Chinese Conference on Computer Vision, 2019, pp. 555–570. (EI)

15. Kun Wang, Songsong Wu*, Guangwei Gao, Quan Zhou, Xiaoyuan Jing. Learning autoencoder of attribute constraint for zero-shot classification. IAPR Asian Conference on Pattern Recognition, 2017, pp. 605-610. (EI)

14. Dan Wang*, Canxiang Yan, Quan Zhou. Learn local priors by transferring training masks for salient object detection. IEEE International Conference on Multimedia and Expo, 2017, pp. 1141-1146. (EI, CCF-B)

13. Xin Jin*, Yannan Li, Ningning Liu, Xiaodong Li, Quan Zhou, Yulu Tian, Shiming Ge. Scene relighting using a single reference image through material constrained layer decomposition. IEEE/SPIE International Symposium on Artificial Intelligence and Robotics, 2017, pp. 37-44. (EI, Best student paper)

12. Guangwei Gao*, Pu Huang, Quan Zhou, Songsong Wu, Xiaoyuan Jing, and Dong Yue. Low-rank representation and locality-constrained regression for robust low-resolution face recognition. IEEE/SPIE International Symposium on Artificial Intelligence and Robotics, 2017, pp. 17-26. (EI)

11. Yumin Hu, Quan Zhou*, Guangwei Gao, Zhijun Yao, Weihua Ou, and Longin Jan Latecki. Robust background exclusion for salient object detection. IEEE International Conference on Wireless Communication and Signal Processing, 2016, pp. 1-5. (EI)

10. Zhijun Yao*, Quan Zhou, Zhongyuan Lai, Zhiming Ren, Liming Liu. Image enhancement based on bi-histogram equalization with non-parametric modified technology. IEEE International Conference on Parallel and Distributed Systems, 2016, pp. 1211-1215. (EI)

9. Zhijun Yao*, Quan Zhou, Xiaofei Yang, Chunhua Yang, and Zhongyuan Lai. Quadrants histogram equalization with a clipping limit for image enhancement. IEEE International Conference on Wireless Communication and Signal Processing, 2016, pp. 1-5. (EI)

8. Guangwei Gao*, Quan Zhou, Song Song Wu, and Dong Yue. Locality-constrained matrix regression for position-patch based face hallucination. IEEE International Conference on Image Processing, 2016, pp. 419-423. (EI, CCF-C)

7. Quan Zhou*, Nianyi Li, Jianxin Chen, Shu Cai, and Longin Jan Latecki. Salient object detection via background contrast. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2015, pp. 1463-1467. (EI, CCF-B)

6. Quan Zhou*, Shaojun Zhu, and Baoyu Zheng. Salient object detection using window mask transferring with multi-layer background contrast. Asian Conference on Computer Vision, 2014, pp. 221–235. (EI, CCF-C)

5. Quan Zhou*, Ji Chen, Shiwei Ren, Yu Zhou, Jun Chen, and Wenyu Liu. On contrast combinations for visual saliency detection. IEEE International Conference on Image Processing, 2013, pp. 2665-2669. (EI, CCF-C) 

4. Quan Zhou*, Nianyi Li, Yi Yang, Pan Chen, and Wenyu Liu. Corner-surround contrast for saliency detection. IEEE International Conference on Patten Recognition, 2012, pp. 1423-1426. (EI, CCF-C)

3. Quan Zhou*, Canxiang Yan, Yinyin Zhu, Xiang Bai, and Wenyu Liu. Image labeling by multiple segmentation. IEEE International Conference on Image Processing, 2011, pp. 3129-3132. (EI, CCF-C)

2. Yu Zhou, Junwei Wang, Quan Zhou*, Xiang Bai, and Wenyu Liu. Shape matching using points co-occurrence pattern. International Conference on Image and Graphics, 2011, pp. 344-349. (EI)

1. Quan Zhou*, and Wenyu Liu. Inference scene labeling by incorporating object detection with explicit shape model. Acian Conference on Computer Vision, 2010, pp. 382–395. (EI, CCF-C)







指导的优秀研究生代表:

>>>优秀硕士毕业生代表<<<

    政:硕士生(2022~2025),国家奖学金获得者,毕业去向:海南电信,软件工程师(2025~至今)

 项伟康:硕士生(2022~2025),国家奖学金获得者,毕业去向:上海华为,软件工程师(2025~至今)

 胡张颖:硕士生(2022~2025),国家奖学金获得者,毕业去向:上海华为,软件工程师(2025~至今)

 莫玉伟:硕士生(2021~2024),国家奖学金获得者,毕业去向:中国电信,软件测试工程师(2024~至今)

 江晨风:硕士生(2021~2024),国家奖学金获得者,毕业去向:中国电信,软件测试工程师(2024~至今)

 倪英豪:硕士生(2021~2024),国家奖学金获得者,毕业去向:小米,软件开发工程师(2024~至今)

 孙振涵:硕士生(2020~2023),国家奖学金获得者,毕业去向:英特尔,算法工程师(2023~至今)

 施惠民:硕士生(2020~2023),国家奖学金获得者,毕业去向:无锡中微忆芯公司,算法工程师(2023~至今)

 王林杰:硕士生(2020~2023),国家奖学金获得者,毕业去向:新华三股份有限公司,算法工程师(2023~至今)

    勇:硕士生(2019~2022),国家奖学金获得者,毕业去向:浙江大华股份有限公司,软件工程师(2022~至今)

 陈静娴:硕士生(2019~2022),国家奖学金获得者,毕业去向:中国联通,软件工程师(2022~至今)

 王茜雯:硕士生(2019~2022),国家奖学金获得者,毕业去向:远景科技集团有限公司,软件测试工程师(2022~至今)

 包云超:硕士生(2019~2022),国家奖学金获得者,毕业去向:复星集团有限公司,软件测试工程师(2022~至今)

    嘉:硕士生(2018~2021),国家奖学金获得者,毕业去向:复星集团有限公司,软件测试工程师(2021~至今)

    杰:硕士生(2018~2021),国家奖学金获得者,毕业去向:中国移动集团有限公司,软件开发工程师(2021~至今)

 李圣华:硕士生(2018~2021),国家奖学金获得者,毕业去向:虹软科技股份有限公司,软件开发工程师(2021~至今)

 卢竟男:硕士生(2017~2020),国家奖学金获得者,毕业去向:武汉华为,软件测试工程师(2020~至今)

 从德春:硕士生(2017~2020),国家奖学金获得者,毕业去向:南京华为,部门经理(2020~至今)

    雨:硕士生(2017~2020),国家奖学金获得者,毕业去向:南京中兴,算法工程师(2020~至今)

 杨文斌:硕士生(2016~2019),国家奖学金获得者,毕业去向:深圳华为,算法工程师,部门经理(2019~至今)

 王晓东:硕士生(2016~2019),国家奖学金获得者,毕业去向:宁夏电信,总经理,(2019~至今)