巫义锐

河海大学计算机与信息学院，青年教授，CCF高级会员，IEEE/ACM/CSIG会员
CCF-YOCSEF南京副主席
CCF多媒体专委会执行委员

电邮: wuyirui@hhu.edu.cn

地址: 南京市河海大学江宁校区勤学楼4123室

[English Version]

巫义锐，男，工学博士，河海大学计算机与信息学院青年教授，我是水利大数据研究所成员，河海大学计算机视觉实验室(HHU-CV)负责人，获河海大学“大禹学者”称号。研究方向为计算机视觉、多媒体计算与智慧水利。 我于2011年在南京大学计算机科学与技术系获得理学学士学位，同年被保送至南大计算机系攻读博士学位，并于2016年获得工学博士学位，我的指导老师是路通教授， 并和Shivakumara Palaiahnakote教授 保持了紧密合作关系。我曾于2012年和2014年两次访问香港科学与技术大学，并接受了戴秋兰教授和 欧建忠博士的指导。主持了国家自然科学基金、江苏省自然科学基金、国家重点研发计划子专题、国家重点实验室开放课题等多个研究项目。我于权威国际刊物《IEEE Transactions on Image Processing》、《IEEE Transactions on Multimedia》、 《IEEE Transactions on Network Science and Engineering》及高水平国际学术会议ACM Multimedia、 ICME、ICPR、BIBM、ICIP等发表学术论文四十余篇。
       我现担任《IET Image Processing》(CCF-C, SCI)的副主编， 《Malaysian Journal of Computer Science》(SCI)的首位外籍副主编， 《Artificial Intelligence and Applications》的创刊副主编， CCF-YOCSEF南京副主席，CCF-MM执行委员，江苏省信息技术应用学会多媒体专委会副秘书长。我担任过 Journal of Sensor and Actuator Network (JCR Q1)和IEEE COMSOC MMTC Communications-Frontiers的客座主编， ICML2022(CCF-A, 人工智能顶会), ACM MM2022/2021(CCF-A, 多媒体顶会), ICPR2022(CCF-C), ICME2022(CCF-B), HPCC2021(CCF-C), CIKM2021(CCF-B), ACPR2021 等会议程序主席。
       您可以下载我的 简历，也可以在知乎上关注我的账号 河海大学巫义锐 或者在学者网上关注我的账号 巫义锐.

新闻

  • 2024.5.11: 我们发表在TECS的论文 "Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition" 被评为ESI高被引论文。
  • 2024.5.11: 由CCF南京分部主办的，CCF YOCSEF南京协办的CCF 南京分部公益论坛：大模型助力新质生产力，将于2024 年 5 月 12 日（周日）9:00-11:20在河海大学江宁校区行政楼一楼 多功能厅举行。活动面向高校大学生，邀请到了国内知名大模型专家，东南大学漆桂林教授、南京大学王利民教授，对自然语言和视觉大模型技术的当下与 未来发展脉络做技术报告，提高学生对新一代人工智能技术-预训练大模型的认知，启迪他们设计技术落地实际应用的场景，为他们未来的职业规划、 职业目标做准备。欢迎各位学术界、工业界小伙伴以及同学们现场参与。
                 
  • 2024.5.6: 实验室访学记录：重庆VALSE行,2024年5月4日至7日,实验室组织了研究生同学，前往重庆参加VALSE2024学术会议。
  • 2024.03.15: 我们发表在TOIT的论文 "Digital Twin of Intelligent Small Surface Defect Detection with Cyber-Manufacturing Systems" 被评为ESI高被引论文。
  • 2024.03.10: 我们发表在TNSE的论文 "Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection" 被评为ESI热点论文。
  • 2023.12.13: 一篇文章被 AAAI2023(CCF-A)录用. 恭喜陈老师.
  • 2023.11.8: 下周二11月28日河海江宁校区勤学楼4202会议室，有幸请到IAPR Fellow Pal老师，和西北工业大学的田春伟老师，欢迎有兴趣的老师与同学前往参加。报告以线上线下方式同步举行。 #腾讯会议：434-142-344
                 
  • 2023.11.8: 实验室秋游记录：苏州相城行,2023年11月8日至9日,实验室组织了分散在南京与金坛的研究生同学，前往苏州相城区进行秋游。 整体活动安排为一日自由行，一日参观CCF总部与相城区规划馆，体验商用自动驾驶汽车.
                 
  • 2023.11.1: 受邀在CCF ChinaVR2023上做数字孪生专题演讲. 新闻链接是 URL.
  • 2023.10.13: 实验室参加昇腾AI创新大赛2023江苏区决赛应用赛道，荣获最具商业价值奖. 新闻链接是 URL.
  • 2023.09.30:实验室甄诚，靳修，乔世嘉三位同学组队智慧水文探索者，以智慧水文应用为题，参与昇腾AI创新大赛2023江苏区应用赛道， 成功入围决赛，成为28只决赛参赛队之一，希望三位在南京赛出风采。新闻链接为URL.
  • 2023.09.20: 我成为 SN Computer Science的副编辑, 欢迎各位老师同学投稿.
  • 2023.09.05: 一篇论文被 Big Data Research(SCI)录用. 恭喜孔其然同学.
  • 2023.08.06: 一篇论文被 Methods(SCI)录用，由BIBM2022会议推荐. 恭喜李豪同学.
  • 2023.05.30: 恭喜广琛同学成功入学南大计算机博士,恭喜新富同学成功入学河海计算机博士,希望两位同学在未来多发精品论文，大展宏图。
  • 2023.05.22: 我们发表在TII的论文 "Medical Image Encryption by Content-Aware DNA Computing for Secure Healthcare" 被评为ESI高被引论文。从咨询莅莱代码、 数据集的情况来看，这篇论文的关注度较高，莅莱也做了非常仔细的回复。恭喜莅莱同学!!!
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  • 2023.04.19: 我被选为CCF高级会员，希望未来继续为CCF服务。新闻链接为URL.
  • 2023.04.17: 一篇论文被 Pattern Recognition Letters(CCF-C)录用. 祝贺其然同学.
  • 2023.03.16: 受邀参加知识图谱赋能时空AI | 3月16日 TF96. 时空人工智能(Spatio-Temporal AI)是人工智能领域的新型创新应用技术， 旨在以时空为“索引”对多源异构数据进行时空化治理和融合，并借力知识工程和AI算法进行智能化分析，从而挖掘知识和辅助决策。 本期会议邀请到来自百度等互联网企业的代表，来自清华大学的研究人员， 以及来自维智科技、河溓海平等时空AI明星创业企业的技术负责人，一起围绕知识图谱赋能时空AI这个话题，分享典型的时空知识图谱构建与应用的关键技术、典型案例与最佳实践。 本次讨论会被CCF官方报道，新闻链接为 URL. 相关演讲视频链接为URL.
  • 2023.03.05: 一篇论文被 IEEE-ACM Transactions on Computational Biology and Bioinformatics(CCF-B)录用. 祝贺其然同学.
  • 2023.02.20: 我们的论文"An Overview of Knowledge Graph Reasoning: Key Technologies and Applications" 被JSAN期刊选为封面文章， (https://www.mdpi.com/journal/jsan). 恭喜李豪同学!
  • 2023.02.18:一篇论文被 ACM Transactions on Embedded Computing Systems(CCF-B)录用. 祝贺莅莱同学!
  • 2023.01.17:一篇论文被 ACM Transactions on Asian and Low-Resource Language Information Processing(CCF-C)录用. 祝贺莅莱同学!
  • 2023.01.12:一篇论文被 Soft Computing(CCF-C)录用. 恭喜吴本泽同学!
  • 2022.12.25:一篇论文被 Pattern Recognition Letters(CCF-C)录用. 恭喜李豪同学!
  • 2022.12.21:实验室创业项目获TEC2022 CCF科技创业大赛金奖，被CCF官方报道，新闻链接为 URL.
  • 2022.11.20: 专刊 "Data Science in Water Conservancy Engineering" 已经在 Applied Sciences(中科院3区,JCR Q2,SCI,IF:2.838) (until 20th May, 2023) 上线, 关注水利大数据技术。欢迎各位老师同学投稿。
  • 2022.11.02: 一篇论文被 ACM Transactions on Internet Technology(CCF-B)录用. 恭喜曹浩同学.
  • 2022.10.20: 一篇论文被 BIBM22(CCF-B)录用. 录用率20%. 恭喜李豪同学.
  • 2022.09.22: 我被邀请在Journal of Sensor and Actuator Network (JSAN) 期刊创刊十周年主题活动上进行专题演讲，我的演讲题目是“小样本学习环境下的视觉问题解题探索”。 您能通过 URL获取更多详细信息。期待与您在讨论交流。
  • 2022.09.01: 由我与南京大学过洁老师共同主持的 元宇宙产业思辩论坛 将在江苏省计算机大会上举办。思辩论坛抛观点，摆证据，与会嘉宾深度参与思辨， 可以面红脖子粗，头脑风暴。另外直呼其名，摇铃控制时间。嘉宾包括南信工人工智能学院院长潘志庚老师，南京视觉与网络智能技术研究研邹轶彬院长， 南京钟山虚拟现实技术研究院谢海春董事长，河海大学物联网工程学院童晶老师。欢迎各位学界与产业界小伙伴参与。 JSCC 的宣传链接为 URL。希望与各位在南京线下相见。
  • 2022.08.17: 由电子科大万少华老师与我共同组织的专刊 "Deep Learning and Edge Computing for Internet of Things" 已经在 Applied Sciences(中科院3区,JCR Q2,SCI,IF:2.838)上线 (截止日期：2023.1.11)。专刊关注关注深度学习与边缘计算的交叉理论，技术与应用研究。 欢迎各位老师同学投稿。
  • 2022.08.16: 由我、电子科大万少华老师、西马其顿大学Panagiotis Sarigiannidis老师、马来亚大学Shivakumara Palaiahnakote老师共同组织的专刊 "Intelligent Computing in Farmland Water Conservancy for Smart Agriculture" 已经在 Frontiers in Plant Science(中科院2区,JCR Q1,SCI,IF:6.627)上线 (截止日期：2023.1.11)。专刊关注关注智慧农田水利、智慧水利理论，技术与应用研究。 欢迎各位老师同学投稿。
  • 2022.08.12: 恭喜实验室师广琛同学因突出科研进展被河海大学官网新闻报道。该新闻也被学部、学院转载。新闻网址： URL.
                 
  • 2022.08.10: 一篇论文被ACM Transactions on Asian and Low-Resource Language Information Processing录用. 祝贺李豪同学!
  • 2022.07.21: 一篇论文被 IEEE Transactions on Industrial Informatics(工业信息化顶刊, IF:11.648)(关于图像加密)录用，祝贺莅莱同学!
  • 2022.06.29: 一篇论文被 ACM MM 2022(CCF-A, 多媒体领域顶会)(关于增量小样本学习)录用。 这是HHU-CV实验室第一篇CCF-A会议论文。祝贺广琛同学 !!! 在里斯本与你相见! 我们将很快通过网页与Github开源代码。 希望能与您进一步讨论。
  • 2022.06.27: 我们的 HHU-CV Summer School 即将召开。你可以通过 URL获取更多详细信息。
  • 2022.06.15: 实验室本科生金刘宇获得河海大学本科优秀毕业论文奖，我也因此获得河海大学优秀本科生毕设导师奖。他构建了一个类黑暗之魂的大型3D游戏，我将demo视频上传至 URL。恭喜刘宇!!!
  • 2022.06.12: 我开始担任 Artificial Intelligence and Applications 的创刊副主编。本刊2023年底前录用稿件免版面费。欢迎各位老师同学投稿。
  • 2022.06.10: 由我与吉林农业大学温长吉共同主持的YEF2022(青年精英大会)之“元宇宙的尽头是星辰大海还是虚无陷阱？” 专题论坛将在6月9日13:30~17:30多平台同步直播，论坛请到了多位学术界与产业界大咖，包括南大郭延文老师， 虚拟现实与可视化专委会主任罗训老师，港中文蔡玮老师，南大过洁老师，聚力维度科技创始人赵天奇博士，睿诚华智科技创始人齐海龙委员。CCF为论坛进行了 宣传并将在多平台同步直播。 欢迎各位老师同学参与我们的讨论，我们YEF不见不散！！！
  • 2022.05.30: 由我，中南财经政法万少华老师与马来亚大学Shivakumara Palaiahnakote老师共同组织的专刊"Edge AI for IoT Systems" 已经在 Journal of Sensor and Actuator Network (JCR Q1,ESCI,CiteScore:6.2)上线。专刊主要关注人工智能与边缘计算的交叉理论，技术与应用研究。截止日期：2023年1月15日。欢迎各位老师同学不吝赐稿。
  • 2022.02.07: 一篇论文被 IEEE Transactions on Network Science and Engineering(TNSE，中科院2区)录用。
  • 2021.10.10:本组论文 "PolarText：Single-stage Scene Text Detection with Polar Representation" 被IEEE EUC 2021（第19届IEEE国际嵌入式与普适计算大会）评选为唯一最佳论文奖。该讯息被学部官网转载。 IEEE EUC是普适计算领域的重要学术会议，迄今已举办19届。恭喜孔其然同学。
                 
  • 2021.09.20: 本组论文 "基于特征融合金字塔网络的场景文字检测研究" 被中国计算机学会多媒体领域旗舰会议ChinaMM2021评为唯一最佳墙报奖。 恭喜刘文翔同学。

    • 加入实验室

    课题组正招收，有兴趣从事计算机视觉、人工智能、视频与图像数据处理、模式识别与计算机图形学研究及技术开发的学生。请通过邮箱 wuyirui@hhu.edu.cn联系我。

    研究兴趣

  • 计算机视觉: 小样本图像分割，文字检测与识别。
  • 人工智能: 可解释性人工智能，因果分析。
  • 多媒体计算: 医学图像分析，图像加密与超分辨率。
  • 智慧水利: 智能水文过程建模，水文大数据处理与分析。

    • 实验室成员

    刘新富
    27级博士
    计算机视觉
    李豪
    24级学硕
    因果推理
    曹浩
    24级学硕
    图神经网络
    张莅莱
    24级学硕
    多标记学习
    倪天宇
    25级学硕
    计算机视觉
    周玉婷
    25级学硕
    计算机视觉
    秦锐
    25级学硕
    计算机视觉
    孙海燕
    26级学硕
    小样本学习
    靳修
    26级学硕
    计算机视觉
    乔世嘉
    26级学硕
    因果推断
    汪建洲
    26级学硕
    小样本学习
    耿奥
    26级专硕
    小样本学习
    甄诚
    26级专硕
    知识蒸馏
    夏宇航
    26级专硕
    因果推断

    学术论文 [完整论文列表]

    节选期刊论文


  • [IEEE TMM'17] Yirui Wu, Tong Lu, Zehuan Yuan, Hao Wang. FreeScup: a novel platform for assisting sculpture pose design. IEEE Transactions on Multimedia, 19(1): 183-195 (2017). (Top Journal in Multimedia, CCF-B) [Paper]
  • [IEEE TIP'16] Yirui Wu, Palaiahnakote Shivakumara, Tong Lu, Chew Lim Tan, Michael Blumenstein, G. Hemantha Kumar. Contour restoration of text components for recognition in video/scene images. IEEE Transactions on Image Processing, 25(12): 5622-5634 (2016). (Top Journal in Image Processing, CCF-A) [Paper]
  • [BigDR'23] Yirui Wu, Qiran Kong, Cheng Qian, Michele Nappi, Shaohua Wan. End-PolarT: Polar Representation for End-to-End Scene Text Detection. Big Data Research, online publication (2023).(SCI)[Paper]
  • [Methods'23] Hao Li, Yirui Wu, Hexuan Hu, Hu Lu, Qian Huang, Shaohua Wan. Interpretable Thoracic Pathologic Prediction via Learning Group-Disentangled Representation. Methods, 218:110-117 (2023).(SCI)[Paper]
  • [PRL'23-2] Yirui Wu, Qiran Kong, Lai Yong, Shaohua Wan. CDText: Scene Text Detector based on Context-aware Deformable Transformer. Pattern Recognition Letters, 172: 8-14 (2023).(SCI, CCF-C)[Paper]
  • [IEEE-ACM TCBB'23] Yirui Wu, Qiran Kong, Lilai Zhang, Shaohua Wan. CDT-CAD: Context-Aware Deformable Transformers for End-to-End Chest Abnormality Detection on X-Ray Images. IEEE-ACM Transactions on Computational Biology and Bioinformatics, online publication (2023).(生物信息领域重要期刊, CCF-B) [Paper]
    Workflow with Deformable Transformers for Chest Abnormality Detection
  • [ACM TECS'23] Yirui Wu, Lilai Zhang, Zonghua Gu, Hu Lu, Shaohua Wan. Edge-AI Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition. ACM Transactions on Embedded Computing Systems, 22(3): 57:1-57:17 (2023).(计算机系统结构领域重要期刊, CCF-B) [Paper]
    Workflow with Edge Design for Facial Expression Recognition
  • [ACM TALLIP'23] Yirui Wu, Lilai Zhang, Hao Li, Yunfei Zhang, Shaohua Wan. Feature Fusion Pyramid Network for End-to-end Scene Text Detection. ACM Transactions on Asian and Low-Resource Language Information Processing, online publication(2023). (SCI, CCF-C) [Paper]
  • [SC'23] Yirui Wu, Benze Wu, Yunfei Zhang, Shaohua Wan. A Novel Method of Data and Feature Enhancement for Few-shot Image Classification. Soft Computing. 27(8): 5109-5117 (2023).(SCI, CCF-C) [Paper]
  • [PRL'23-1] Yirui Wu, Hao Li, Shaohua Wan. GDRL: An Interpretable Framework for Thoracic Pathologic Prediction. Pattern Recognition Letter . online publication(2023).(SCI, CCF-C) [Paper]
  • [JSPS'23] Qian Cheng, Yirui Wu*, Aniello Castiglione, Fabio Narducci, Shaohua Wan: DA-Net: Dual Attention Network for Flood Forecasting. Journal of Signal Processing System, 95(2-3): 351-362 (2023). (SCI) [Paper]
  • [IEEE TOIT'22] Yirui Wu, Hao Cao, Guoqiang Yang, Tong Lu, Shaohua Wan. Digital Twin of Intelligent Small Surface Defect Detection with Cyber-Manufacturing Systems. ACM Transactions on Internet Technology. Online(2022). (互联网技术重要刊物, CCF-B, IF:3.790) [Paper]
    Workflow of Digital Twin for Intelligent Small Surface Defect Detection
  • [IEEE TII'22] Yirui Wu*, Lilai Zhang*, Stefano Berretti, Shaohua Wan.(* indicates Equal Contribution) Medical Image Encryption by Content-aware DNA Computing for Secure Healthcare. IEEE Transactions on Industrial Informatics, 19(2): 2089-2098 (2023). (Top Journal in Industrial Informatics, 中科院一区, IF:11.648) [Paper]
    Workflow of Image Encryption based on DNA Computing
  • [IEEE TNSE'22] Yirui Wu, Haifeng Guo, Chakraborty Chakraborty, Mohammad Khosravi, Stefano Berretti, Shaohua Wan. Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection. IEEE Transactions on Network Science and Engineering. 10(5): 3086-3098 (2023). (中科院二区) [Paper]
    Object Detection Results in Low-light Environment
  • [PR'22] Minglei Yuan, Chunhao Cai, Tong Lu, Yirui Wu, Qian Xu, Shijie Zhou. A novel forget-update module for few-shot domain generalization. Pattern Recognition 129:108704(2022). (Top Journal in Pattern Recognition, CCF-B) [Paper]
  • [PRL'22] Yirui Wu, Wen Zhang, Shaohua Wan. CE-Text: A Context-aware and Embedded Text Detector in Natural Scene Graph. Pattern Recognition Letter 159:77-83 (2022).(SCI, CCF-C) [Paper]
  • [ACM TALLIP'22] Yirui Wu, Hao Li, Lilai Zhang, Dong Chen, Qian Huang, Shaohua Wan. Joint Intent Detection Model for Task-oriented Human-computer Dialogue System using Asynchronous Training. ACM Transactions on Asian and Low-Resource Language Information Processing, 22(5): 135:1-135:17, 2023.(SCI, CCF-C) [Paper]
  • [JSAN'22]Yonghong Chen, Hao Li, Han Li, Wenhao Liu, Yirui Wu*, Qian Huang* and Shaohua Wan. An Overview of Knowledge Graph Reasoning: Key Technologies and Applications. Journal of Sensor and Actuator Networks, 11(4): 78 (2022).(ESCI) [Paper]
  • [JVCIR'21] Yirui Wu, Weixiang Liu, Shaohua Wan. Multiple Attention Encoded Cascade R-CNN for Scene Text Detection. Journal of Visual Communication and Image Representation 80: 103261 (2021). (SCI, CCF-C) [Paper]
  • [SPIC'21] Yirui Wu, Yuntao Ma, Shaohua Wan. Multi-scale relation reasoning for multi-modal Visual Question Answering. Signal Processing: Image Communication 96: 116319 (2021). (SCI, CCF-C) [Paper]
    Comparisons on Visual Question Answering Results
  • [ESWA'21] Tingting Hang, Jun Feng, Yirui Wu, Le Yan, Yunfeng Wang. Joint extraction of entities and overlapping relations using source-target entity labeling. Expert Systems with Applications 177: 114853 (2021). (SCI, CCF-C, 中科院一区) [Paper]
  • [MONET'21] Yirui Wu, Wenqing Mao, Jun Feng. AI for Online Customer Service: Intent Recognition and Slot Filling based on Deep Learning Technology . Mobile Network and Applications, 1-13 (2021). (SCI, CCF-C) [Paper]
  • [JRTIP'21] Yirui Wu, Pengfei Han, Zhan Zheng. Instant Water Body Variation Detection via Analysis on Remote Sensing Imagery . Journal of Real-Time Image Processing 18(5): 1577-1590 (2021). (SCI) [Paper]
  • [JIG'21] 师广琛, 巫义锐*. 像素聚合和特征增强的任意形状场景文本检测. 中国图象图形学报 26(07):1614-1624 (2021). (CCF-B中文，中文核心) [Paper]
  • [YR'21] 巫义锐, 郭鸿飞, 钱程, 王文鹏. 基于特征增强与时序感知的洪水预报模型. 人民长江 52.S2:21-26+44 (2021).(中文核心) [Paper]
  • [NCAA'20] Yirui Wu Xiaozhong Ji, Wanting Ji, Yan Tian, Helen Zhou. CASR: A Context-aware Residual Network for Single Image Super-Resolution. Neural Computing and Applications 32(18): 14533-14548 (2020). (SCI, CCF-C, 中科院2区) [Paper]
  • [SCN'20] Yirui Wu, Dabao Wei, Jun Feng. Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey. Security and Communication Networks 8872923:1-8872923:17 (2020). (SCI, CCF-C) [Paper]
  • [JRTIP'20] Xiaofang Li, Yirui Wu*, Wen Zhang, Ruichao Wang, Feng Hou. Deep Learning Methods in Real-time Image Super-resolution: A Survey. Journal of Real-Time Image Processing 17(6): 1885-1909 (2020). (SCI) [Paper]
  • [EJWCN'20] Yirui Wu, Yukai Ding, Jun Feng. SMOTE-Boost-based sparse Bayesian model for flood prediction. EURASIP Journal on Wireless Communications and Networking 2020(1): 78 (2020)(SCI)[Paper]
  • [HHU'20] 巫义锐, 汪浩航, 魏大保, 冯钧. 时空多特征流域场景模式库构建方法. 河海大学学报(自然科学版) 48(06):514-520. (2020)(中文核心)[Paper]
  • [CI'19] Yirui Wu, Lianglei wei, Yucong Duan. Deep Spatio-Temporal LSTM Network with Temporal Pattern Feature for 3D Human Action Recognition. Computational Intelligence 35(3): 535-554 (2019). (SCI, CCF-C) [Paper]
  • [CIT'19] Yirui Wu, Yuechao He, Palaiahnakote Shivakumara, Ziming Li, Hongxin Guo, Tong Lu. Channel-wise attention model-based fire and rating level detection in video. CAAI Transactions on Intelligence Technology 4(2): 117-121 (2019). (SCI) [Paper]
  • [MJCS'18] Yirui Wu, Zhouyu Meng, Palaiahnakote Shivakumara, Tong Lu. Compressive sensing based convolutional neural network for object detection. Malaysian Journal of Computer Science 33(1):78-89. (2018)(SCI) [Paper]
  • [CAGD'15] Yirui Wu, Oscar Kin-Chung Au, Chiew-Lan Tai, Tong Lu. HIRM: a handle-independent reduced model for incremental mesh editing. Computer-Aided Geometric Design 35(36):56-68 (2015). (SCI, CCF-B) [Paper]
  • [IJDAR'15] Yirui Wu, Palaiahnakote Shivakumara, Wei Wang, Tong Lu, Umapada Pal. A new ring radius transform based thinning method for multi-oriented video characters. International Journal on Document Analysis and Recognition , 18(2):137-151 (2015). (SCI, CCF-C) [Paper]

    节选会议论文


  • [BIBM'22] Hao Li(学生), Yirui Wu*, Hexuan Hu, Hu Lu, and Shaohua Wan: Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction. IEEE International Conference on Bioinformatics and Biomedicine, online. (CCF-B, Acceptance ratio: 20%) [Paper]
    Four steps in training RGD-Net to learn group-disentangled latent space
  • [ACM MM'22] Guangchen Shi(学生), Yirui Wu*, Jun Liu, Shaohua Wan, Wehai Wang, Tong Lu: Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation. ACM Multimedia 2022: 5547-5556. (CCF-A, Top Conf in Multimedia, Acceptance ratio: 27.9%) [Paper]
    The proposed incremental few-shot learning framework to deal with feature drift Problem
  • [BIBM'21] Qiran Kong(学生), Yirui Wu*, Chi Yan, Yongli Wang: CT-CAD: Context-Aware Transformers for End-to-End Chest Abnormality Detection on X-Rays. IEEE International Conference on Bioinformatics and Biomedicine 2021:1385-1388. (CCF-B, Acceptance ratio: 20%) [Paper]
  • [ICME'21] Guangcheng Shi(学生), Yirui Wu*, Palaiahnakote Shivakumara, Umapada Pal, Tong Lu: ARNet: active-reference network for few-shot image semantic segmentation. IEEE International Conference on Multimedia and Expo2021:1-6. (CCF-B) [Paper]
  • [IJCNN'21] Jun Feng, Zhongyi Wang, Yirui Wu*, Yuqi Xi: Spatial and Temporal Aware Graph Convolutional Network for Flood Forecasting. . International Joint Conference on Neural Networks 2021:1-8. (CCF-C) [Paper]
  • [EUC'21] Qiran Kong(学生), Yirui Wu*, Shaohua Wan: PolarText: Single-stage Scene Text Detection with Polar Representation. IEEE International Conference on Embedded and Ubiquitous Computing 2021:1-8. (Best Paper Award, EI)[Paper]
  • [EUC'21] Benze Wu(学生), Yirui Wu*, Shaohua Wan: An Image Enhancement Method for Few-shot Classification. IEEE International Conference on Embedded and Ubiquitous Computing 2021:1-7. (EI)[Paper]
  • [ICPR'20] Haifeng Guo, Tong Lu, Yirui Wu: Dynamic Low-Light Image Enhancement for Object Detection via End-to-End Training. International Conference on Pattern Recognition 2020:5611-5618. (CCF-C) [Paper]
  • [ICPR'20] Yun-Tao Ma, Tong Lu, Yirui Wu: Multi-scale Relational Reasoning with Regional Attention for Visual Question Answering. International Conference on Pattern Recognition 2020:5642-5649. (CCF-C)[Paper]
  • [MMM'20] Xiaozhong Ji, Yirui Wu, Tong Lu: Context-Aware Residual Network with Promotion Gates for Single Image Super-Resolution. International Conference on Multimedia Modeling 2020(2):136-147. (CCF-C)[Paper]
  • [MMM'20] Xiaoge Song, Yirui Wu, Wenhai Wang, Tong Lu.: TK-Text: Multi-shaped Scene Text Detection via Instance Segmentation. International Conference on Multimedia Modeling 2020(2):201-213. (CCF-C)[Paper]
  • [HPCC'20] Pengyu Yu(学生), Yirui Wu*, Benze Wu: A Novel Developer Portrait Model based on Bert-Capsule Network. IEEE HPCC/DSS/SmartCity2020:1225-1232.(EI) [Paper]
  • [CyberSci'20] Yirui Wu*, Pengyu Yu: User Portrait Technology Based on Stacking Mode. DASC/PiCom/CBD Com/CyberSciTech 2020: 245-250.(EI)[Paper]
  • [SmartCity'20] Pengyu Yu(学生), Yirui Wu*, Shun Zhao: A Novel SMOTE Algorithm based Portrait Model for Programmers. IEEE HPCC/DSS/SmartCity 2020: 1233-1240.(EI) [Paper]
  • [ICDAR'19] Yao Xiao, Minglong Xue, Tong Lu, Yirui Wu, Shivakumara Palaiahnakote: A Text-Context-Aware CNN Network for Multi-oriented and Multi-language Scene Text Detection. International Conference on Document Analysis and Recognition 2019: 695-700.(CCF-C) [Paper]
  • [CPSCom'19] Yirui Wu, Yukai Ding, Jun Feng: Sparse Bayesian Flood Forecasting Model Based on SMOTE-Boost. IEEE iThings/GreenCom/CPSCom/SmartData 2019: 279-284.(EI) [Paper]
  • [CPSCom'19] Yukai Ding, Yuelong Zhu, Yirui Wu, Feng Jun, Zirun Cheng: Spatio-Temporal Attention LSTM Model for Flood Forecasting. IEEE iThings/GreenCom/CPSCom/SmartData 2019: 458-465. (EI)[Paper]
  • [MMM'19] Yisheng Yue, Palaiahnakote Shivakumara, Yirui Wu, Liping Zhu, Tong Lu, Umapada Pal: An Automatic System for Generating Artificial Fake Character Images. International Conference on Multimedia Modeling(2) 2019: 291-301 (CCF-C)[Paper]
  • [MMM'19] Yirui Wu, Weigang Xu, Qinghan Yu, Jun Feng, Tong Lu: Hierarchical Bayesian network based incremental model for flood predicition. International Conference on Multimedia Modeling (1) 2019: 556-566.(CCF-C) [Paper]
  • [ICIP'18] Yirui Wu, Yisheng Yue, Xiao Tan, Wei Wang,Tong Lu:End-to-end chromosome karyotyping with data augmentation using GAN . IEEE International Conference on Image Processing 2018: 2456-2460. (CCF-C) [Paper]
  • [ICPR'18] Yirui Wu, Zhikai Li, Palaiahnakote Shivakumara, Tong Lu: Em-SLAM: a fast and robust monocular SLAM method for embedded systems. International Conference on Pattern Recognition 2018: 1882-1887. (CCF-C) [Paper]
  • [ICPR'18] Yirui Wu, Zhaoyang Liu, Weigang Xu, Jun Feng, Palaiahnakote Shivakumara, Tong Lu: Context-aware attention LSTM network for flood prediction. International Conference on Pattern Recognition2018: 1301-1306. (CCF-C) [Paper]
  • [ICPR'18] Yirui Wu, Weigang Xu, Jun Feng, Palaiahnakote Shivakumara, Tong Lu: Local and global Bayesian network based model for flood prediction. International Conference on Pattern Recognition2018: 225-230 (CCF-C) [Paper]
  • [MMM'18]Lianglei Wei, Yirui Wu, Wenhai Wang, Tong Lu: A Novel 3D Human Action Recognition Framework for Video Content Analysis. International Conference on Multimedia Modeling(1) 2018: 42-53 (CCF-C) [Paper]
  • [MMM'18]Wenhai Wang, Yirui Wu, Palaiahnakote Shivakumara, Tong Lu: Cloud of Line Distribution and Random Forest Based Text Detection from Natural/Video Scene Images. International Conference on Multimedia Modeling(2) 2018: 48-60 (CCF-C) [Paper]
  • [ICFHR'18]Sauradip Nag, Palaiahnakote Shivakumara, Yirui Wu, Umapada Pal, Tong Lu: New COLD Feature Based Handwriting Analysis for Enthnicity/Nationality Identification. International Conference on Frontiers in Handwriting Recognition2018:523-527. (EI) [Paper]
  • [PCM'18] Zhaoyang Liu, Yirui Wu, Yukai Ding, Jun Feng, Tong Lu: Context and Temporal Aware Attention Model for Flood Prediction. Pacific-rim Conference on Multimedia(1) 2018: 545-555. (CCF-C) [Paper]
  • [ICDAR'17] Yirui Wu, Wenhai Wang, Palaiahnakote Shivakumara, Tong Lu: A Robust Symmetry-based Method for Scene/Video Text Detection Through Neural Network. International Conference on Document Analysis and Recognition2017:1249-1254. (CCF-C) [Paper]
  • [ACPR'17] Yirui Wu, Zhou-Yu Meng, Shivakumara Palaiahnakote, Tong Lu: Compressing YOLO Network by Compressive Sensing. Asian Conference on Pattern Recognition2017: 19-24. (EI)[Paper]
  • [ICIP'17] Hengduo Li, Jun Liu, Guyue Zhang, Yuan Gao, Yirui Wu: Multi-glimpse LSTM with color-depth feature fusion for human detection. IEEE International Conference on Image Processing2017: 905-909 (CCF-C)[Paper]
  • [MMM'17] Yiyang Zhou, Wenhai Wang, Wenjie Guan, Yirui Wu, Heng Lai, Tong Lu, Min Cai: Visual Robotic Object Grasping Through Combining RGB-D Data and 3D Meshes. International Conference on Multimedia Modeling(1) 2017: 404-415. (CCF-C)[Paper]
  • [PCM'17] Wenhai Wang, Yirui Wu, Shivakumara Palaiahnakote, Tong Lu, Jun Liu: Cloud of Line Distribution for Arbitrary Text Detection in Scene/Video/License Plate Images. Pacific-rim Conference on Multimedia(1) 2017: 433-443.(CCF-C)[Paper]
  • [IJCAI'17] Zehuan Yuan, Tong Lu, Yirui Wu: Deep-dense Conditional Random Fields for Object Co-segmentation. International Joint Conference on Artificial Intelligence2017:3371-3377. (CCF-A) [Paper]
  • [ICPR'16] Yirui Wu, Xianli Zhou, Tong Lu, Guo Mei, Linbi Sun: EvaToon: A novel graph matching system for evaluating cartoon drawings. International Conference on Pattern Recognition 2016: 1119-1124 (CCF-C) [Paper]
  • [ICME'15] Yirui Wu, Tong Lu, Zehuan Yuan, Hao Wang: FreeScup: a novel platform for assisting sculpture pose design. IEEE International Conference on Multimedia and Expo 2015:1-6. (CCF-B, Oral) [Paper]
  • [ACM MM'11] Limin Wang, Yirui Wu, Tong Lu, Kang Chen: Multiclass object detection by combining local appearances and context. ACM International Conference on Multimedia 2011:1161-1164. (CCF-A) [Paper]


    学术服务

    期刊编委

    IET Image Processing (CCF-C, SCI) {2022.5.27 - 2025.6.30}

    Malaysian Journal of Computer Science (SCI) {2022.5.1 - 2023.5.31}

    Artificial Intelligence and Applications

    SN Computer Science

    客座主编

    专刊 "Deep Learning and Edge Computing for Internet of Things" in Applied Sciences (SCI中科院3区,JCR Q2,IF:2.838)

    专刊 "Intelligent Computing in Farmland Water Conservancy for Smart Agriculture" in Frontiers in Plant Science (SCI中科院2区,JCR Q1,IF:6.627)

    专刊"Edge AI for IoT Systems" in Journal of Sensor and Actuator Network (JCR Q1)

    IEEE COMSOC MMTC Communications-Frontiers, January 2021

    会议程序主席/审稿人

    ICML2022, ACM MM2022/2021, ICPR2022, CIKM2021, HPCC2022/2021, ACPR2021, ICPRAI2022, CPSCom2022/2021/2020, PIC2021/2020/2019, DSAA2020, ML4CS2020, SECSOC2019 ...

    期刊审稿人

    IEEE Transactions on Medical Imaging (SCI)

    IEEE Transactions on Human-Machine Systems (SCI)

    IEEE Transactions on Emerging Topics in Computational Intelligence (SCI)

    IEEE Transactions on Intelligent Transportation Systems (SCI)

    IEEE Transactions on Cybernetics (SCI)

    IEEE Transactions on Geoscience and Remote Sensing(SCI)

    IEEE Transactions on Industrial Informatics (SCI)

    IEEE Transactions on Computational Social Systems (SCI)

    ACM Transactions on Asian and Low-Resource Language Information Processing (SCI)

    ACM Transactions on Internet Technology (SCI)

    ACM Transactions on Multimedia Computing Communications and Applications (SCI)

    Neurocomputing (SCI)

    Multimedia Systems (SCI)

    Journal of Visual Communication and Image Representation (SCI)

    Image and Vision Computing (SCI)

    IET Image Processing (SCI)

    Environmental Modelling and Software (SCI)

    Journal of Cloud Computing (SCI)

    CAAI Transactions on Intelligence Technology (SCI)

    SN Computer Science...

    获奖荣誉

    • 2017荣获大禹学者称号。
    • IEEE EUC 2021最佳论文奖。
    • ChinaMM 2021最佳墙报奖。
    • 2021年当选CCF YOCSEF南京副主席。
    • 2021年当选江苏省信息技术应用学会多媒体专委会副秘书长。
    • 2021年荣获江苏计算机学会杰出会员称号。
    • 2022年在第二届物联网与智能应用国际论坛上担任专题演讲人，论坛讲演者包括5位IEEE Fellow。
    • 2022年以执行主席身份在YEF2022青年精英大会组织“元宇宙的尽头是星辰大海还是虚无陷阱？”专题论坛。

      主持项目

    • 多尺度流域水资源和水利设施遥感监测应用示范, 国家重点研发计划, 2021YFB3900601, 2021-12至今, 在研, 专题负责人.
    • 面向领域智能的水污染事件分析-溯源-调度技术研究,中央高校基本科研业务费项目, B220202074, 2022-01至今, 在研, 主持.
    • 跨模态流域智能管理与决策模式库构建方法与应用, 中央高校基本科研业务费项目, B200202177,,2020-01至2021-12, 结题, 主持 .
    • 大数据驱动的流域智能管理与决策关键技术, 国家重点研发计划, 2018YFC0407901, 2018-08至2021-06, 结题, 专题负责人 .
    • 融合文字对称属性与场景上下文信息的自然场景文字检测研究, 江苏省自然科学基金青年项目, BK20170892, 2017-07至2020-06, 结题, 主持.
    • 基于文字对称 性与上下文关系的自然场景文字检测研究, 国家重点实验室开放基金, KFKT2017B05, 2017-06至2019-06, 结题, 主持.
    • 基于卷积神经网络的场景文字检测模型研究, 中央高校基本科研业务费项目, 2016B14114,, 2017-01至2018-12, 结题, 主持.

      教育背景

      • 南京大学

        工学博士 - 计算机应用技术，2011 - 2016

        指导教师：路通教授；博士论文题目: 视觉场景理解与交互关键技术研究

      • 香港科学与技术大学

        计算机科学与工程系助理研究员，2014

        指导教师：戴秋兰教授

      • 香港科学与技术大学

        计算机科学与工程系访问学生，2012

        指导教师：戴秋兰教授

      • 南京大学

        理学学士 - 计算机科学与技术，2007 - 2011

        同年保送至南京大学计算机科学与技术系硕博连读

      课程教学

      研究生

      注意事项


    • 硕士生入学前需要完成的工作

      • 毕业去向


    • 蔡海群(20级计算机技术，专硕，考研分数Top 1):南京中兴新软件责任有限公司
    • 毛文庆(20级计算机技术，专硕):南京中兴新软件责任有限公司
    • 顾婷婷(20级软件工程，专硕):南京烽火通信科技股份有限公司
    • 余鹏宇(20级计算机技术，专硕):中国电子科技集团第二十八研究所
    • 刘文翔(21级计算机技术，专硕):深圳市富途科技有限公司
    • 郭鸿飞(21级计算机技术，专硕):南京中兴新软件责任有限公司
    • 韩鹏飞(21级软件工程，专硕):广州汇智通信有限公司
    • 孙珺毅(21级计算机技术，专硕):深圳市顺丰科技有限公司
    • 王岩松(22级电子信息-计算机与软件工程，专硕):深圳元戎启行科技有限公司(自动驾驶创业公司)
    • 孔其然(22级计算机科学与技术，学硕):北京荣耀终端有限公司(科研相关工作，推荐为优秀硕士毕业论文)
    • 师广琛(23级计算机科学与技术，学硕):南京大学路通教授课题组读博
    • 吴本泽(23级计算机科学与技术，学硕):中国电子科技集团第二十八研究所