周 全 职称：教授，硕士生导师，日本九州工业大学客座教授（2018），美国天普大学客座教授（2020），IEEE高级会员（2019），IAPR高级会员（2019），中国计算机学会高级会员（2020），中国图像图形学会高级会员（2018），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）。入选中国博士后特别资助计划（2017），入选国家自然科学基金青年项目（2015），入选南京“青蓝工程”青年骨干教师（2020），入选江苏省“科技副总”（2023）。先后承担国家自然科学基金、江苏省自然科学基金、国家重点实验室开放课题、华为科技项目等10余项，累计科研经费300余万元。近年来，已在国际学术顶级期刊（IEEE TIP/TITS/TMI/TNNLS/TMM，PR等）和国际重要学术会议（IEEE ICASSP/ICIP，ICPR，PRCV）发表SCI/EI论文70余篇，2次国际会议最佳论文奖（IEEE/SPIE ISAIR 2017，EAI ROSENET 2018），获得IEEE/SPIE ISAIR 2023突出贡献奖。授权国家发明专利10余项。主要研究方向为：计算机视觉、深度学习、模式识别、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。
对优秀硕士生，提供到腾讯、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。团队欢迎对人工智能、计算视觉、深度学习和模式识别领域感兴趣，致力于解决现实生活中视觉应用问题的同学报考。团队欢迎自律勤奋，积极主动，勤于思考，具有批判精神和团队合作精神，以及具有较强英语读写能力和编程动手能力的同学。

主要研究方向：计算机视觉、深度学习、机器学习、模式识别、人工智能与智能计算。已在国际顶级和重要学术期刊（IEEE Transactions on Image Processing, IEEE Transactions on Intelligence Transport Systems, Applied Soft Computing, Pattern Recognition, IEEE Access等）以及国际重要学术会议(IEEE ICASSP，IEEE ICIP，ICPR，PRCV等)上发表SCI/EI论文70余篇，申请国家发明专利10余项。

1 科研项目：
[18] 国家留学基金委访问计划项目，201908320072，Research on weakly supervised image understanding, 2019/12-2020/12, 16万元，进行中，主持
[17] 华为基础研究计划项目，Research on deep menta-learning for robust writing and reading on crossbar devices，2019/11-2021/11，50万元，进行中，主持
[16] 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，2019/01-2022/12，65万元，进行中，主持
[15] 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，2018/01-2018/12，4.5万元，已结题，主持
[14] 华为创新研究计划项目(HIRP OPEN)，Research on new algorithm for robust deep neural networks，2018/11-2019/11，20万元，已结题，主持
[13] 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，2015/01-2017/12，25万元，已结题，主持
[12] 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，2018/11-2021/11，10万元，进行中，主持
[11] 南京大学计算机软件新技术国家重点实验室开放课题项目，KFKT2017B10，基于低秩矩阵重构的弱监督式物体识别与分割，2017/6-2019/6，2.5万元，已结题，主持
[10] 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，2016/11-2017/11，10万元，已结题，主持
[9] 南京理工大学高维信息智能感知与系统教育部重点实验室开放课题项目，面向海量图像与海量类别的物体识别与语义分割理论与方法研究，2017/1-2018/12，2万元，已结题，主持
[8] 福建省信息处理与智能控制重点实验室(闽江学院)开放课题项目，MJUKF201710，基于矩阵填充的弱监督式图像语义理解研究，2017/1-2018/12，2万元，已结题，主持
[7] 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，2017/11-2019/11，15万元，进行中，主持
[6] 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 ，2015/11-2017/11，5万元，已结题，主持
[5] 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，2015/11-2017/11，7万元，已结题，主持
[4] 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，2014/01-2016/12，100万元，已结题，参加
[3] 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，2017/01-2020/12，65万元，进行中，参加
[2] 国家自然科学基金青年基金，61501259，基于单谱图像和多光谱信息复合的空中弱目标识别方法研究，2016/01-2019/12，21万元，进行中，参加
[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，2016/07-2019/06，20万元，已结题，参加

2 主要学术论文列表
2.1 期刊论文
[40] Shiliang Zhao, Xiaofu Wu, Ben Xie, Suofei Zhang, and Quan Zhou. PFH-OSNet: Training OSNet from Scratch with Pyramidal Feature Hierarchy for Person Re-Identification. IEEE Signal Processing Letters, under review, 2021.(SCI/EI，JCR三区)
[39] Quan Zhou, Dechun Cong, Bin Kang, Xiaofu Wu, Baoyu Zheng, Huimin Lu, and Longin Jan Latecki. BiCAN: bi-direction contextual aggregating network for semantic segmentation. IEEE Transactions on Image Processing, under review, 2021.(SCI/EI，JCR一区，CCF-A)
[38] Xiaofu Wu, Suofei Zhang, Quan Zhou, and Zheng Yang. Entropy Minimization vs. Diversity Maximization for Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems, under review, 2021.(SCI/EI，JCR一区，CCF-A)
[37] Quan Zhou, Yu Wang, Huiming Lu, Xiaofu Wu, and Longin Jan Latecki. ESNet: an efficient symmetric encoder-decoder network for real-time semantic segmentation. IEEE Transactions on Intellegence Transport System, under review, 2021.(SCI/EI，JCR二区)
[36] 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, online published, 2021.(SCI/EI，JCR三区)
[35] Quan Zhou, Xiaofu Wu, Suofei Zhang, Bin Kang, Zongyuan Ge, and Longin Jan Latecki. Contextual ensemble network for semantic segmentation. Pattern Recognition, accepted, 2021.(SCI/EI，JCR二区, CCF-B)
[34] Haixia Xiong, Weihua Ou, Zengxian Yan, Jianping Gou, Quan Zhou, and Anzhi Wang. Modality-specifific Matrix Factorization Hashing for Cross-modal Retrieval. Journal of Ambient Intelligence & Humanized Computing, accepted, 2020.(SCI/EI，JCR四区)
[33] 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, accepted, 2020.(SCI/EI，JCR四区)
[32] Xin Jin, Fengyi Li, Mingxue Yu, Xiaodong Li, Quan Zhou, Shujiang Xie, and Xi Fang. RSANet: Region Self Attention Networks for Street Scene Generation. Mobile Networks and Applications, accepted, , 2020.(SCI/EI，JCR二区)
[31] Wen Su, Haifeng Zhang, Wenzhen Yang, Quan Zhou, and Zengfu Wang. Monocular depth estimation using information exchange network. IEEE Transactions on Intelligence Transport System, accepted, 2020. (SCI/EI，JCR二区)
[30] 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/EI，JCR二区，CCF-B)
[29] Yoshiki Nakayama, Huimin Lu, Quan Zhou, and Hyoungseop Kim. WideSeg: wide residual network for semantic image segmentation. IEEE Transactions on Vehicle Technology, under review，2019. (SCI/EI，JCR二区)
[28] Quan Zhou, Zheng Jie 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)
[27] Yawen Fan, Quan Zhou, and Bin Kang. Activity interaction detection by using causal discovery with order estimation. IEEE Access, 7:173968-173976, 2019. (SCI/EI，JCR二区)
[26] Bin Kang, Quan Zhou, and Min Lin. Visual tracking via multi-layer factorized correlation filter. IEEE Signal Processing Letters, 26(12): 1763-1767，2019. (SCI/EI，JCR三区)
[25] Suofei Zhang, Quan Zhou, and Xiaofu Wu. Fast dynamic routing based on weighted kernel density estimation. Concurrency and Computation: Practice and Experience, accepted, 2019.(SCI/EI)
[24] Weihua Ou, Jianping Gou, Quan Zhou, and Fei Long. Discriminative multiview nonnegative matrix factorization for classification. IEEE Access, 7:60947-60956, 2019.(SCI/EI,JCR二区)
[23] 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): 227101-227102，2019. (SCI/EI,JCR三区，CCF-B)
[22] 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, 7:46422-46433, 2019.(SCI/EI,JCR二区)
[21] Huimin Lu, Joze, Guna, and Quan Zhou. Preface: optical imaging for extreme environment. Optics & Lazer Technlolgy, (2019):1-1, 2019.(SCI/EI, JCR二区)
[20] 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/EI，JCR 二区，CCF-B)
[19] Huimin Lu, Li He, Quan Zhou, Zongyuan Ge. Editorial: artificial intelligence for mobile robotic networks. MONET, 23(2):326-327,2018. (SCI/EI，JCR 二区)
[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. (SCI/EI，JCR 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/EI，JCR 四区)
[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/EI，JCR 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/EI，JCR 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/EI，JCR 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/EI，JCR 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, 5:7115-7122, 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/EI，JCR 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] Guang Wei 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: 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二区, 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 and hybrid markov random field for image labeling. IEEE Transactions on Image Processing, 22(6): 2219-2232, 2013. (SCI/EI, JCR二区, 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] 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, CCF-B)
[2] 周全,王磊,周亮,郑宝玉.基于上下文的图像标注. 《自动化学报》, 12(40):2944-2949, 2014. (EI, CCF-A)
[1] Quan Zhou and Liang Zhou. Compressive sensing for video coding: a brief overview. IEEE COMSOC MMTC E-Letter, 9(2): 20-22, 2014.

2.2 会议论文
[30] Jie Wang, Quan Zhou, Dechun Cong, Xin Jin, and Weihua Ou. ECDet: an efficient convolutional network for real-time object detection. Proc. SPIE 11574, International Symposium on Artificial Intelligence and Robotics 2020, 1157402.
[29] Huitong Pan, Quan Zhou, and Longin Jan Latecki. SGUNet: Semantic Guided UNet for Thyroid Nodule Segmentation. IEEE International Symposium on Biomedical Imaging, accepted, 2021. (EI)
[28] Jie Wang, Quan Zhou, Dechun Cong, and Xiaofu Wu. ECDet: an efficient ConvNet for real-time object detection. International Symposium on Artificial Intelligence and Robotics, accepted, 2020. (EI)
[27] 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, accepted，2020. (EI)
[26] 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)
[25] 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)
[24] Wan Ding, Bin Kang, Quan Zhou, Min Lin, Suofei Zhang. Gayscal-thermal tracking via canonical correlation analysis based inverse sparese representaiton. IEEE International Conference on Acoustics, Speech, and Signal Processing, accepted, 2019. (EI)
[23] 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)
[22] Yu Wang and Quan Zhou. ESNet: an efficient symmetric network for real-time semantic segmentation. International Conference on Patten Recognition and Computer Vision, accepted, 2019.(EI)
[21] Weihua Ou, Jianping Gou, Quan Zhou and Fei Long. Discriminative multiview nonnegative matrix factorization for classification. International Symposium on Artificial Intelligence and Robotics, accepted, 2019. (EI)
[20] Quan Zhou, Jinwen Wu, Yawen Fan, Suofei Zhang, Xiaofu Wu, Baoyu Zheng, Xin Jin, Huimin Lu, and Longin Jan Latecki. Weighted linear multiple kernel learning for saliency detection. International Conference on Robotic Sensor Networks, accepted, 2018. (EI, Best paper)
[19] Xin Jin, Shuyun Zhu, Le Wu, Geng Zhao, Xiaodong, Li, and Quan Zhou.Encryption of 3D surface model with textures through multi-level chaotic maps. International Conference on Robotic Sensor Networks, accepted, 2018. (EI)
[18] Quan Zhou, Yawen Fan, Weihua Ou, and Huimin Lu. Saliency detection via objectness transferring. International Symposium on Artificial Intelligence and Robotics, accepted, 2018. (EI)
[17] Ruisheng Xuan, Weihua Ou, Quan Zhou, Yongfeng Cao, Hua Yang, Xiangguang Xiong, and Fangming Ruan. Semantics consistent adversarial cross-modal retrieval. International Symposium on Artificial Intelligence and Robotics, accepted, 2018. (EI)
[16] Yuzhe Sun, Quan Zhou and Xiaofu Wu. Domain adaptation for semantic segmentation with conditional random field. International Symposium on Artificial Intelligence and Robotics, accepted, 2018. (EI)
[15] Suofei Zhang, Quan Zhou and Xiaofu Wu. Fast dynamic routing based on weighted kernel density estimation. International Symposium on Artificial Intelligence and Robotics, accepted, 2018. (EI)
[14] 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)
[13] Yan Wang, Xiaofu Wu, Yuanyuan Chang, Suofei Zhang, Quan Zhou, and Jun Yan. Batch normalization: is learning an adaptive gain and bias necessary? International Conference on Machine Learning and Computing, 2018, pp. 36-40.(EI)
[12] 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, pp:696-704, Tian Jin, China, 2017. (EI)
[11] 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. The 2nd International Symposium on Artificial Intelligence and Robotics, pp:37-44, Kyushu, Japan, 2017. (EI, Best student paper)
[10] 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. The 2nd International Symposium on Artificial Intelligence and Robotics, Japan, pp:17-26, Kyushu, Japan, 2017. (EI)
[9] Yu Min Hu, Quan Zhou, Guang Wei Gao, Zhi Jun Yao, Wei Hua Ou, and Longin Jan Latecki. Robust background exclusion for salient object detection. in Proceeding of International Conference on Wireless Communication and Signal Processing, 2016, pp. 1-5 (EI)
[8] Zhi Jun Yao, Quan Zhou, Xiao Fei Yang, Chun Hua Yang, and Zhong Yuan Lai. Quadrants histogram equalization with a clipping limit for image enhancement. in Proceeding of International Conference on Wireless Communication and Signal Processing, 2016, pp. 15-20 (EI)
[7] Guang Wei Gao, Quan Zhou, Song Song Wu, and Dong Yue. Locality-constrained matrix regression for position-patch based face hallucination. in Proceeding of IEEE International Conference on Image Processing, 2016, pp:419-423.(EI)
[6] 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, pp:1463-1467, Brisbane, Australia, 2015. (EI)
[5] Quan Zhou, Shu Cai, Shaojun Zhu, and Baoyu Zheng. Salient object detection using window mask transferring with multi-layer background contrast. Asian Conference on Computer Vision, pp:1418-1441, Singapore, 2014. (SCI/EI)
[4] 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, pp:2665-2669, Melbourne, Australia, 2013. (SCI/EI)
[3] Quan Zhou, Nianyi Li, Yi Yang, Pan Chen, and Wenyu Liu. Corner-surround contrast for saliency detection. IEEE International Conference on Patten Recognition, pp:1318-1321, Tuskuba Science City, Japan, 2012. (SCI/EI)
[2] Quan Zhou, Canxiang Yan, Yinyin Zhu, Xiang Bai, and Wenyu Liu. Image labeling by multiple segmentation. IEEE International Conference on Image Processing , pp: 3129-3123, Brussels, Belgium, 2011. (SCI/EI)
[1] Quan Zhou, and Wenyu Liu. Inference scene labeling by incorporating object detection with explicit shape model. Acian Conference on Computer Vision, pp:382-395, Queestwon, New Zealand, 2010. (SCI/EI)

3 所获奖励
[2] 最佳论文奖，Weighted linear multiple kernel learning for saliency detection. International Conference on Robotic Sensor Networks，2018.
[1] 最佳学生论文奖，Scene relighting using a single reference image through material constrained layer decomposition. The 2nd International Symposium on Artificial Intelligence and Robotics， 2017.

4 申请专利列表
[9] 一种基于稀疏表示的人脸识别算法. 2018.4, 申请专利号: CN201810398110.6, 排名: 1.
[8] 一种图像语义分割方法. 2018.7, 申请专利号: CN201810769340.9, 排名: 1.
[7] 卷积神经网络的语义图像分割算法. 2018.7，申请专利号: CN201810768753.5, 排名: 1.
[6] 一种视频监控场景中的行为分析方法. 2017.9, 申请专利号: CN201710291009.6, 排名: 2.
[5] 一种基于局部和全局对比度的显著性检测方法. 2015.11, 申请专利号: CN 201510869726.3, 排名: 1.
[4] 一种基于背景对比的显著性检测方法. 2016.10, 申请专利号: CN201610339693.6, 排名: 1.
[3] 一种基于t混合因子分析的分布式手写数字识别方法. 申请专利号: CN 201510415750.X, 排名: 3.
[2] 传感器网络中基于混合因子分析模型的分布式聚类方法. 申请专利号: CN 201510414218.6, 排名: 3.
[1] 一种视频监控场景中的行为分析方法. 申请专利号: CN 201710291009.6, 排名: 2.

5 国际会议技术委员会成员
[19] 受邀分论坛主席，国际人工智能和机器人论坛，北九州，日本，2020.
[18] 受邀分论坛主席，IEEE国际无线通信与信号处理大会，西安，中国，2019.
[17] 受邀技术委员会成员，亚太模式识别会议，奥克兰，新西兰，2019.
[16] 受邀分论坛主席，IEEE ICME，上海，中国，2019.
[15] 受邀技术委员会成员，国际人工智能与机器人论坛，大邱，韩国，2019.
[14] 受邀大会主席，国际人工智能和机器人论坛，南京，中国，2018.
[13] 受邀大会主席，人工智能及其在下一代互联网中的应用中日双边研讨会，北九州，日本，2018.
[12] 受邀技术委员会主席，国际神经信息处理大会，广州，中国，2017.
[11] 受邀研讨会主席，亚太模式识别会议，南京，中国，2017.
[10] 受邀技术委员会成员，国际神经信息处理会议，广州，中国，2017.
[9] 受邀技术委员会成员，国际无线和移动通信会议，瓦伦西亚，西班牙，2017.
[8] 受邀技术委员会主席，国际人工智能和机器人论坛，北九州，日本，2017.
[7] 受邀技术委员会主席，国际机器人传感网络论坛，北九州，日本，2017.
[6] 受邀技术委员会成员，国际信号与系统大会，巴厘岛，印度尼西亚，2017.
[5] 受邀技术委员会成员，亚太通信大会，日惹，印度尼西亚，2016.
[4] 受邀技术委员会成员，国际信息系统与人工智能大会，香港，中国，2016.
[3] 受邀技术委员会成员，国际无线通信与移动计算大会，帕福斯，塞浦路斯，2016.
[2] 受邀大会主席，IEEE国际无线通信与信号处理大会，扬州，中国，2016.
[1] 受邀分会主席，IEEE国际无线通信与信号处理大会，合肥，中国，2014.

6 国际SCI学术期刊（客座）编辑
[4] Cognitive Robotics (2020~)
[3] Optics and Lazer Technology（2017~）
[2] Multiple Tools and Applications（2017~）
[1] ACM/Springer Mobile Networks & Applications（2017~）

7 国际SCI学术期刊审稿人