夏思宇

发布者:夏思宇发布时间:2019-05-28浏览次数:9061

夏思宇

副教授/行政助理

  • 学历:博士

  • 系:机器人工程系

  • 学科组:

  • 邮箱:xsy@seu.edu.cn 个人网站:http://www.siyuxia.com

  • 个人概况: 博士,东南大学自动化学院副教授,硕士研究生导师,自动化学院行政助理,自动化学院模式识别与智能系统学科组组长,江苏省计算机学会图形图像专委会委员,江苏省人工智能学会人工智能基础与应用专委会委员,江苏省人工智能学会智能系统与应用专委会委员,IEEE Member/ACM Member。

  • 个人简介:

    夏思宇,男,博士,东南大学自动化学院副教授,硕士研究生导师,自动化学院行政助理,自动化学院模式识别与智能系统学科组组长,江苏省计算机学会图形图像专委会委员,江苏省人工智能学会人工智能基础与应用专委会委员,江苏省人工智能学会智能系统与应用专委会委员。博士毕业于东南大学自动化学院模式识别与智能系统专业。主要的研究方向为机器学习、模式识别、图像处理等。2010-2011年作为国家留学基金委全额资助的访问学者在美国纽约州立大学布法罗分校计算机科学与工程系,从事机器学习理论与应用的研究。2012年6月至8月作为Research Fellow访问美国纽约州立大学布法罗分校协同学习媒体实验室(Synergetic Media Learning Lab)。2012年8月至2013年5月挂职南京市白下区科技局副局长。2013年7月至8月在美国里海大学工程与应用科学学院进行学习与交流。2014年入选江苏省“科技副总”岗位。2015年获教育部高校自然科学二等奖。2018年获江苏省煤炭学会煤炭科学技术进步奖三等奖。2015年9月至2016年8月作为江苏省第八批科技镇长团团员挂职盐城市大丰区科技局与江苏省大丰港经济开发区管委会。2016年被评为东南大学优秀党员。2018年4月至2019年4月在美国东北大学计算机与信息科学学院SmileLab实验室访问。

    学术方面,担任国际期刊IEEE Transactions on Image Processing(T-IP)、IEEE Transactions on Systems, Man, and Cybernetics, Part B (T-SMC-B)、IEEE Transactions on Information Forensics and Security (T-IFS)、IEEE Transactions on Multimedia (T-MM)、Image and Vision Computing、International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI)、Neurocomputing与《计算机学报》的审稿专家,获Outstanding Reviewer Award 2016 for journal of Neurocomputing。在国内外学术刊物和会议上发表论文80余篇,其中部分工作发表在TIP、TMM、IJCAI、CVPR、ACM MM、BMVC、FG等国外权威刊物或顶级会议上。申请专利近40项(目前已授权十余项)。获2015年教育部高校自然科学二等奖1项,2018年江苏省煤炭学会煤炭科学技术进步奖三等奖1项。

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  • Tutorial

    1. 1. Visual Recognition of Families In the Wild in conjunction with IEEE FG 2019 (CCF C类会议)

    Program Chair

    1. 1. The 4th Recognizing Families In the Wild (FIW) Data Challenge Workshop in conjunction with IEEE Conference on Automatic Face and Gesture Recognition (FG 2020) (CCF C类会议)

    2. 2. The 9th IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG2019) in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) (CCF A类会议)

    3. 3. The 2nd Faces in Multimedia Workshop in conjunction with IEEE International Conference on Multimedia and Expo (ICME 2019) (CCF B类会议)

    4. 4. The 3rd Recognizing Families In the Wild (FIW) Data Challenge Workshop in conjunction with IEEE Conference on Automatic Face and Gesture Recognition (FG 2019) (CCF C类会议)

    5. 5. Faces in Multimedia Workshop in conjunction with ICME 2018 (CCF B类会议)

    6. 6. Large-Scale Kinship Recognition Data Challenge in conjunction with ACM MM 2017 (CCF A类会议)

    Senior Program Committee

    1. 1. The AAAI Conference on Artificial Intelligence (AAAI), 2019(人工智能领域顶会)

    Program Committee Member

    1. 1. The 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021(人工智能领域顶会)

    2. 2. International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI), 2020, 2021(医学图像处理领域顶会)

    3. 3. The AAAI Conference on Artificial Intelligence (AAAI), 2020,2021(人工智能领域顶会)

    4. 4. ACM Mulimedia (ACM MM), 2020,2019(多媒体处理领域顶会)

    5. 5. ACM Mulimedia Asia, 2019

    6. 6. International Conference on Intelligence Science and Big Data Engineering (IScIDE), 2019

    7. 7. Affective Computing and Intelligent Interaction (ACII), 2019

    8. 8. IEEE International Conference on Machine Learning and Applications (ICMLA), 2017-2019

    9. 9. The 8th IEEE International Workshop on Analysis and Modeling of Faces and Gestures in conjunction with CVPR 2018


  • Conference Reviewer/External Reviewer

    Reviewers for: AAAI, ACM-MM, FG, BMVC, AMFG, ICASSP, ICME, ICPR, ACCV,

  • Journal Reviewer

    Reviewers for: IEEE-TIP, IEEE-SMC-B, IEEE-TIFS, IEEE-TMM, JMM, Neurocomputing, IJPRAI, IVC, TCIV, 计算机学报, 中国图象图形学报

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    每年招收2-3名学术型或专业型硕士研究生,并将为立志从事学术研究的学生提供海外一流实验室短期访问资助。

    把科学研究写在祖国的各行各业!做有用的研究!

    -------------------------------------------------------------------------------------------------------------------------

    在读研究生:


  • 吴  源(2018)

    李自强(2018):IJCNN2020论文1篇,海康威视实习

    赵  普(2018)

    庄文林(2018):研究生国家奖学金;ACCV2018论文1篇,赴澳大利亚珀斯参加学术会议,魔珐科技、腾讯AI Lab、阿里达摩院实习

    徐  浩(2018):CCC2019论文1篇,全额资助赴澳大利亚数据科学研究所短期访问3个月(2019.9-2019.11),蚂蚁金服实习

    赵郑逸(2018):研究生国家奖学金;ICASSP2020论文1篇,阿里实习

    朱  婷(2019),PRCV2020论文1篇

    蒋  晨(2019),ICPRAM2021论文1篇

    蒋业凡(2019)

    蔡秋润(2019)

    杨金月(2019)

    李成贤(2020)

    梁辉来(2020)

    杨启睿(2020)

    彭志恒(2020)

    朱嘉璇(2020)

  • 杨 靖(2020)

  • 王田浩(2020)


  • 已毕业学生: 


  • 聂云聪(2020):阿里

    郑程耀(2020):商汤科技,个人主页:http://zhengchengyao.com/

    刘大晖(2020):南瑞集团

    郜鹏宇(2020):科大讯飞

    施  殊(2020):新加坡国立大学

    胥凯林(2020):浙江大学

    袁  琴(2019):华为

    边张行(2019):美国密歇根大学,个人主页:https://sites.google.com/umich.edu/zxbian/home

    彭梓瑞(2019):香港科技大学

    陈科圻(2019):中科院软件所

    周  源(2018):网易考拉

    邝  野(2018):美国康奈尔大学

    卢长胜(2017):上海交通大学(东南大学优秀本科毕业生,江苏省高校本科优秀毕业设计论文一等奖)

    胡啸天(2017):美国哥伦比亚大学

    吕逸如(2017):瑞典皇家理工学院

    张俊康(2017):美国加州大学圣地亚哥分校 PhD

    杨  彬(2017):网易游戏

    张艺璇(2016):美国卡内基梅隆大学

    肖子豪(2016):美国约翰霍普金斯大学 PhD

    秦玉磊(2016):上海交通大学 PhD

    卢凯悦(2015):澳洲国立大学 PhD(江苏省高校本科优秀毕业设计论文一等奖)

    陈单啇(2015):美国康乃狄格大学 PhD

    朱明铭(2015):东软集团

    叶  浪(2015):威盛电子

    唐云柯(2015):美国康奈尔大学

    庄尚芸(2015):上海华为

    吴长虹(2015):上海交通大学

    熊  健(2014):上海交通大学

    朱  迪(2014):美国卡内基梅隆大学



  • 教学研究:

    2018-09-10教学经历
  • 教学方面,承担《人工智能导论》、《计算机组成结构》、《计算机图形学》、《图像处理与理解》、《模式识别》、《机器人视觉识别技术》、《图像理解与机器视觉》、《计算智能》、《Pattern Recognition and Machine Learning》(研究生全英文课程)等课程。在国内核心教学期刊与重要会议上发表教学论文多篇。曾多次指导本科生毕业设计获江苏省优秀论文一等奖,近3年指导本科生以第一作者发表学术论文十余篇,其中SCI检索2篇(含计算机视觉领域国际顶级期刊1篇)、EI检索10篇,指导本科生以第一发明人申请发明专利十余项,目前已授权4项,其中一项已经成功进行成果转化。


    教学获奖:
    东南大学第17届青年教师授课竞赛三等奖
    东南大学第19届青年教师授课竞赛三等奖
    2007-2008学年东南大学徐工奖教金
    2011-2012学年东南大学教育基金会奖教金
    2012-2013学年东南大学教学奖励金二等奖
    2016-2017学年东南大学中泰国立奖教金
    2016-2017学年东南大学教学奖励金一等奖
  • 科研项目:


    承担或参与的科研项目
  • 1. 动作分析系统开发,企业委托项目,2020
    2. 水下养殖视频识别与生物形态判断,企业委托项目,2020
    3. 基于图像识别的白癜风辅助诊断软件开发,企业委托项目,2020
    4. 钢球表面瑕疵检测技术研究,企业委托项目,2020
    5. 热带地区区域数值预报模式关键技术研发及应用,国家重点研发计划“重大自然灾害监测预警与防范”重点专项,2019-2021
    6. 基于任务驱动的深层特征表示模型的研究,江苏省自然科学基金,2018-2021
    7. 损容性皮肤病人工智能系统开发,企业委托项目,2019
    8. 基于图像的铅笔计数算法开发,企业委托项目,2019
    9. 大数据社交媒体分析中基于深度学习的图像表达技术研究. 海外及港澳学者合作研究基金,2018-2019.
    10. 共融交互中的机器人语义场所感知与自主作业. 国家自然科学基金(重大研究计划)培育项目,2018-2020
    11. 基于图像的矿物分类系统研究与开发. 企业委托项目,2018
    12. 色素性皮肤病图像识别软件开发.中科院某研究所委托项目,2018
    13. 融合浅层模型和深度网络的视觉特征学习研究. 国家自然科学基金,2017-2020
    14. 基于深度学习的钢企智慧物流系统研发.江苏省科技支撑计划(工业),2017-2020
    15. 基于压制法的非线性时滞系统的镇定控制与自适应控制研究. 国家自然科学基金,2014-2017.
    16. 汽车轮毂视觉识别管理系统研究和开发. 企业委托项目,2017
    17. OCR图片识别与人脸识别关键技术研究. 企业委托项目,2017
    18. PCB线路板表面缺陷检测软件开发. 企业委托项目,2017
    19. PCB线路板图像拼接软件开发. 企业委托项目,2016
    20. 制备流体光电检测装置研制. 企业委托项目,2016
    21. 校园安全监控系统智能视频分析软件开发. 企业委托项目,2016
    22. 社交网络环境下的人脸识别技术研究. 江苏省自然科学基金,2013-2016
    23. 基于稀疏特征学习和概率图模型的目标检测与分类研究. 江苏省自然科学基金,2013-2016
    24. 基于DSmT和HMM的序列红外目标局部特征识别法研究. 航空科学基金,2014-2016
    25. 货物标签自动识别与管理系统. 企业委托项目,2014
    26. 基于有限时间收敛的优化反馈神经网络设计、分析与应用. 国家自然科学基金,2012-2014.
    27. 不确定非线性系统的鲁棒H∞控制与输出反馈控制. 国家自然科学基金,2012-2014.
    28. 集成进化算法的研究与应用. 教育部博士点基金,2011-2013.
    29. 成像制导目标识别特征学习技术研究. 航空科学基金,2011-2013
    30. 成像目标跟踪信息融合技术研究. 中电科技集团,2011-2012
    31. 智能视频监控中智能分析算法关键技术研究. 中兴通讯,2011-2012
    32. 基于流形学习的智能视频人脸图像的识别和理解. 国家自然科学基金重大研究项目,2009-2011
    33. XXX快速测量仪研制. 江苏省安全厅项目,2008,
    34. 基于MAFS的视频多目标检测、跟踪及运动分析的关键技术. 浙江省科技厅项目,2007
  • 科研论文:

  • 代表性著作:

  • * Siyu Xia, Ming Shao and Yun Fu, “Kinship Verification through Transfer Learning,” International Joint Conferences on Artificial Intelligence (IJCAI), pp.2539-2544, 2011

    * Ming Shao, Siyu Xia and Yun Fu, “Genealogical Face Recognition based on UB KinFace Database,” IEEE CVPR Workshop on Biometrics (BIOM), pp.65-70, 2011

    * Siyu Xia, Ming Shao, Jiebo Luo, and Yun Fu, “Understanding Kin Relationships in a Photo”, IEEE Transactions on Multimedia (T-MM), 14(4):1046-1056, 2012 

    * Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu.  Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection. IEEE Transactions on Image Processing (TIP), 29(1): 768-781, 2020

    * Deepak Kumar, Chetan Kumar, Chun Wei Seah, Siyu Xia, Ming Shao. Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognitions, 28th ACM International Conference on Multimedia, ACM MM, 2020

    * Wenlin Zhuang, Congyi Wang, Siyu Xia, Jinxiang Chai, Yangang Wang. Music2Dance: Music-driven Dance Generation using WaveNet.  https://www.profillic.com/paper/arxiv:2002.03761, 2020


  • 发表学术论文(since 2010)
  • 1. Book Chapter: Ming Shao, Siyu Xia, and Yun Fu. Identity and Kinship Relations in Group Pictures, Human-Centered Social Media Analytics, Springer, 2014

    2. Deepak Kumar, Chetan Kumar, Chun Wei Seah, Siyu Xia, Ming Shao. Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognitions, 28th ACM International Conference on Multimedia, ACM MM, 2020 (CCF A类会议)

    3. Changsheng Lu, Siyu Xia, Ming Shao, Yun Fu.  Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection. https://arxiv.org/pdf/1810.03243. IEEE Transactions on Image Processing (TIP), 29(1): 768-781, 2020  Code (CCF A类期刊)

    4. Changsheng Lu, Chaochen Gu, Kaijie Wu, Siyu Xia, Haotian Wang, Xinping Guan.  Deep transfer neural network using hybrid representations of domain discrepancy.  Neurocomputing, 2020 (CCF C类期刊)

    5. Chengyao Zheng, Siyu Xia, Joseph Robinson, Changsheng Lu, Wayne Wu, Chen Qian, Ming Shao.  Localin Reshuffle Net: Toward Naturally and Efficiently Facial Image Blending.  ACCV, 2020 (CCF C类会议)

    6. Zhangxing Bian, Siyu Xia, Chao Xia, Ming Shao. VitSeg: Weakly-supervised Segmentation in Image. Computerized Medical Imaging and Graphics, 2020

    7. Jie Sun, Siyu Xia, Zhilin Sun, Shengli Lu. Cross-Model Deep Feature Fusion for Face Detection. IEEE Sensors Letters, 2020

  • 8. Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu. Recognizing Families In the Wild (RFIW): The 4th Edition. FG, arXiv:2002.06303, 2020 (CCF C类会议)

    9. Wenlin Zhuang, Congyi Wang, Siyu Xia, Jinxiang Chai, Yangang Wang. Music2Dance: Music-driven Dance Generation using WaveNet. https://www.profillic.com/paper/arxiv:2002.03761, 2020

    10. Zhengyi Zhao, Tianyao Wang, Siyu Xia, Yangang Wang. Hand-3D-Studio: A New Multi-view System for 3D Hand Reconstruction. In: The 45th International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 2020 (CCF B类会议)

    11. Ting Zhu, Siyu Xia, Zhangxing Bian, Changsheng Lu. Highlight Removal in Facial Images. In: The Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV, 2020

    12. Kailin Xu, Siyu Xia, Guang Li. Automatic Classification of Sleep Stages from Single-Channel EEG. In: The Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV, 2020

    13. Chen Jiang, Yefan Jiang, Zhangxing Bian, Fan Yang, Siyu Xia. Multi-level feature selection for oriented object detection, ICPRAM, 2021

    14. Dahui Liu, Zihan Song, Siyu Ren, and Siyu Xia. Adversarial Attacks on Neural Network with Batch Dimensions Perturbation and Manhattan-Distance Constraints, The 9th International Conference on Intelligent Computing and Applications , 2020

    15. Pengyu Gao, Siyu Xia, J Robinson, Junkang Zhang, Chao Xia, Ming Shao, Yun Fu. What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer, arXiv:1911.07014, 2019

    16. Bin Sun, Ming Shao, Siyu Xia, Yun Fu, Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network, arXiv:1910.11818, 2019

    17. Zhangxing Bian, Siyu Xia, Chao Xia, and Ming Shao, Weakly Supervised Segmentation in Image through Saliency Propagation, IEEE BIBM, 2019 (CCF B类会议)

    18. Chengyao Zheng, Siyu Xia, Ming Shao, and Yun Fu, “Fast Facial Image Analogy with Spatial Guidance,” IEEE Conference on Automatic Face and Gesture Recognition (FG), 2019 (CCF C类会议)

    19. Hao Yu, Chengyao Zheng, Yuncong Nie, Siyu Xia, Crowd Counting with Segmentation Map Guidance, CCC, 2019

    20.Qin Yuan, Siyu Xia, Kinship Understanding for a Family Photo. CCDC, 2019

    21. Chao Xia, Siyu Xia, et.al. Album to family tree: a graph based method for family relationship recognition. In: The 14th Asian Conference on Computer Vision (ACCV), 2018 (CCF C类会议)

    22. Wenlin Zhuang, Cong Peng, Siyu Xia, Yangang Wang. Multi-scale Adaptive Structure Network for Human Pose Estimation from Color Images. In: The 14th Asian Conference on Computer Vision (ACCV), 2018 (CCF C类会议)

    23. Bin Sun, Ming Shao, Siyu Xia, Yun Fu. Deep Evolutionary 3D Diffusion Heat Maps for Large-pose Face Alignment. In: The 29th British Machine Vision Conference (BMVC), 2018 (CCF C类会议)

    24. Chao Xia, Siyu Xia, Yuan Zhou, Ming Shao. Graph based family relationship recognition from a single image. In: The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2018

    25. Wenlin Zhuang, Siyu Xia, Yangang Wang. Human Pose Estimation using DirectionMaps. In: YAC 2018

    26. Yuncong Nie, Siyu Xia, Yu Wu. Wheel Classification Using Convolutional Neural Networks. In: YAC 2018

    27. Changsheng Lu, Siyu Xia, Wanming Huang, Ming Shao, Yun Fu. Circle Detection by Arc-support Line Segments. In: The 24rd IEEE International Conference on Image Processing (ICIP), 2017 (Oral PresentationCode

    28. Junkang Zhang, Siyu Xia, Ming Shao, Yun Fu. Family Photo Recognition via Multiple Instance Learning. In: ACM International Conference on Multimedia Retrieval (ICMR), 2017 (CCF B类会议)

    29. Yuan Zhou, Siyu Xia, Junkang Zhang, Dandi Chen. Collaborative Filtering Motivated Automatic Photo Tagging. 36th Chinese Control Conference (CCC),2017

    30. Kaiyue Lu, Siyu Xia, Junkang Zhang, A. Kai Qin, Robust road detection in shadow conditions, J. Electron. Imaging 25(4), 043027 (2016), doi: 10.1117/1.JEI.25.4.043027.

    31. Junkang Zhang, Siyu Xia, Kaiyu Lu, Hong Pan, A.K.Qin. Robust Road Detection from a Single Image. In: 23st International Conference on Pattern Recognition (ICPR), 2016Code

    32. Junkang Zhang, Siyu Xia, Hong Pan, A.K.Qin. A GENETICS-MOTIVATED UNSUPERVISED MODEL FOR TRI-SUBJECT KINSHIP VERIFICATION. In: The 23rd IEEE International Conference on Image Processing (ICIP), 2016

    33. Dandi Chen, Siyu Xia, Yuan Zhou. Pedestrian Detection via Contour Fragments. In: The 35th Chinese Control Conference (CCC), 2016

    34. Siyu Xia, Junkang Zhang, Kaiyue Lu, A.K.Qin. Road Detection via Unsupervised Feature Learning. In: The 30th Internatinal Conference on Image and Vision Computing New Zealand (IVCNZ), 2015

    35. Bo Jiang, Sijiang Liu, Siyu Xia, Xiao Yu, Mengmeng Ding, Xuedong Hou and Yu Gao. Video-based Document Image Scanning Using a Mobile Device. In: The 30th Internatinal Conference on Image and Vision Computing New Zealand (IVCNZ), 2015 (Oral Presentation)

    36. Dandi Chen, Siyu Xia, Kaiyue Lu. A JND-based Saliency Map Fusion Method for Digital Video Watermarking. In: The 34th Chinese Control Conference (CCC), 2015

    37. Lu Kaiyue, Siyu Xia, Chao Xia. Clustering based Road Detection Method. In: The 34th Chinese Control Conference (CCC), 2015Code

    38. Lu Kaiyue, Siyu Xia, Dandi Chen, Chao Xia. Unstructured Road Detection From a Single Image. In: The 10th ASIAN CONTROL CONFERENCE (ASCC), 2015

    39. Siyu Xia, Jian Xiong, Ying Liu, Gang Li. Vision-based Traffic Accident Detection Using Matrix Approximation. In: The 10th ASIAN CONTROL CONFERENCE (ASCC), 2015 (Oral Presentation)

    40. Lang Ye, Mingming Zhu, Siyu Xia, and Hong Pan. Cascaded Convolutional Neural Network for Eye Detection under Complex Scenarios. In: The 9th Chinese Conference on Biometric Recognition (CCBR), 2014 (Oral Presentation)

    41. Siyu Xia, Hong Pan, A.K.Qin. Face Clustering in Photo Album. In: 22st International Conference on Pattern Recognition (ICPR), Sweden, 2014 (Oral Presentation)

    42. A.K.Qin, Ke Tang, Hong Pan and Siyu Xia. Self-adaptive Differential Evolution with Local Search Chains for Real-Parameter Single-Objective Optimization. IEEE Congress on Evolutionary Computation (CEC), 2014

    43. Di Zhu, Siyu Xia, xin zhou, Jihui Zhen. Hybrid Method for Human Eye Detection. In: 26th Chinese Control and Decision Conference (CCDC), 2014

    44. A.K.Qin, Xiaodong Li, Hong Pan and Siyu Xia. Investigation of Self-adaptive Differential Evolution on the CEC-2013 Real-Parameter Single-Objective Optimization Testbed. IEEE Congress on Evolutionary Computation (CEC), pp.1107-1114, Mexico, 2013

    45. Siyu Xia, Ming Shao, Jiebo Luo, and Yun Fu, “Understanding Kin Relationships in a Photo”, IEEE Transactions on Multimedia(T-MM), 14(4):1046-1056, 2012 (Also featured in the IEEE COMSOC MMTC R-Letter, April, 2013http://committees.comsoc.org/mmc/r-letters/MMTC-RLetter-Apr2013.pdf)

    46. Siyu Xia, Ming Shao and Yun Fu, “Toward Kinship Verification Using Visual Attributes”, In: 21st International Conference on Pattern Recognition(ICPR), pp.549-552, Japan, 2012 (Oral Presentation)

    47. Hong Pan, Yaping Zhu, Siyu Xia and Kai Qin, Improved Generic Categorical Object Detection Fusing Depth Cue with 2D Appearance and Shape Features,In: 21st International Conference on Pattern Recognition(ICPR), Japan, 2012

    48. Siyu Xia, Ming Shao and Yun Fu, “Kinship Verification through Transfer Learning,” International Joint Conferences on Artificial Intelligence (IJCAI), pp.2539-2544, 2011 UB KinFace Database Coordinate

    49. Ming Shao, Siyu Xia and Yun Fu, “Genealogical Face Recognition based on UB KinFace Database,” IEEECVPRWorkshop on Biometrics (BIOM), pp.65-70, 2011

    50. Hong Pan, Siyu Xia, Lizuo Jin, and Liangzheng Xia. Illumination Invariant Face Recognition Based on Improved Local Binary Pattern. In: 30th Chinese Control Conference, CCC 2011, pp.3268-3272, Yantai, China, 2011

    51. Hong Pan, Siyu Xia, Lizuo Jin, and Liangzheng Xia. Combining heterogeneous features for face detection using multiscale feature selection with binary particle swarm optimization. In: 2011 SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2011, vol.8006, pp.80061Z-1-80061Z-6, GuiLin, China, 2011

    52. Hong Pan, Siyu Xia, Lizuo Jin, and Liangzheng Xia. Efficient face recognition fusing dynamic morphological quotient image with local binary pattern. In: Advances in Computational Intelligence, 2011 International Work Conference on Artificial Neural Networks, IWANN 2011, Lecture Notes in Computer Science, vol.6692, pp.228-235, Torremolinos-Malaga, Spain, 2011

    53. Hong Pan, Lizuo Jin, Xiaohui Yuan, Siyu Xia, Liangzheng Xia. Context-based embedded image compression using binary wavelet transform. Journal of Image and Vision Computing, 28(6): 991-1002, 2010

    54. 潘泓,金立左,夏思宇,夏良正. 基于多层次互补特征的通用目标检测模型. 电子与信息学报. 34(7):1531-1537,2012

    55. 杨彬,夏思宇. 自然场景多方向文本检测方法. 华中科技大学学报. 2015

    56. 潘泓,朱亚平,夏思宇,金立左. 基于上下文信息和核熵成分分析的目标分类算法. 电子学报. 44(3):580-586,2016

    57. 刘鸿宇,苗芳艳,彭拾,夏思宇,王 珏. 人工智能伦理研究的知识图谱分析. 情报学报. 2019,38(7):85-93