吳秋遐

吳秋遐，女，博士，華南理工大學軟體學院副研究員、碩士生導師， IEEE會員，IEEE SMC Guangzhou Chapter秘書。作為主要成員參與了多個國際和國內會議的運作，擔任2015年第二屆複雜系統與控制研討會、2016年第三屆複雜系統與控制研討會，組織委員會委員、秘書長，同時擔任IEEE T SMC、NEUROCOMPUTING、IET IMAGE PROCESSING、IEEE SIGNAL PROCESSING LETTERS、DICTA等多個國際期刊會議審稿人。

基本介紹

  • 中文名：吳秋遐
  • 國籍：中國
  • 畢業院校：華南理工大學
  • 職業：教師
個人簡介,學歷,教學經歷,工作經歷,社會兼職,研究方向,科研項目,主持項目,參與項目,發表文章,期刊論文,會議論文,

個人簡介

一直從事視覺計算方面的工作和研究，有著長期的視覺計算方面的實際工作經驗，負責了多項相關軟體的開發工作，作為核心成員參與國家級、省部級項目近10餘項。目前作為項目主持人，負責縱向科研課題包括：國家自然科學基金項目（No. 61503141）、人社部留學回國人員擇優資助重點類項目、教育部中央高校基本科研業務費面上課題、博士啟動項目（Nos. 2015ZM080、2013ZB0006）。近年來，在國際重要期刊和會議上發表EI/SCI收錄科研論文20餘篇，主要研究領域包括：智慧型算法與智慧型軟體、視頻內容檢索、生物特徵識別、醫學圖像處理等。

學歷

2008.09-2012.06, 華南理工大學，系統工程，博士，導師：鄧飛其
2009.10-2011.10, 澳大利亞悉尼大學，信息學院，聯合培養博士， 導師: David Dagan Feng

教學經歷

自2016年起，在華南理工大學開展進行教學工作，其中，主講本科生課程有：《數字邏輯》、《圖像處理基礎》。

工作經歷

2017.09-至今，華南理工大學，軟體學院，副研究員
2016.03-2017.08， 華南理工大學，軟體學院，助理研究員
2012.07-2016.03, 華南理工大學，廣州現代產業技術研究院，助理研究員

社會兼職

IEEE會員，IEEE SMC Guangzhou Chapter秘書。作為主要成員參與了多個國際和國內會議的運作，擔任2015年第二屆複雜系統與控制研討會、2016年第三屆複雜系統與控制研討會，組織委員會委員、秘書長，同時擔任IEEE T SMC、NEUROCOMPUTING、IET IMAGE PROCESSING、IEEE SIGNAL PROCESSING LETTERS、DICTA等多個國際期刊會議審稿人。

研究方向

主要研究領域包括：智慧型算法與智慧型軟體、視頻內容檢索、生物特徵識別、醫學圖像處理等。

科研項目

主持項目

  1. [國家級] 2015年國家自然科學基金青年項目，基於深度學習的複雜場景下人體行為識別研究，2016.01-2018.12，22萬元，在研
  2. [省部級] 2015年留學回國人員擇優資助重點類項目，複雜場景下人體行為識別關鍵技術研究，2015.01-2015.12，10萬元，已結題
  3. 2015年中央高校基本科研業務費面上項目，基於深度學習的複雜場景下人體行為識別研究，2015.01-2016.12 ，10萬元，在研
  4. 2013 年中央高校基本科研業務費博士啟動項目：複雜場景中人 體行為識別方法的研究，2013.01-2014.12，5 萬元，已結題
  5. 廣東省城市空調節能與控制工程技術研究開發中心開放基金項目，基於RFID的中央空調節能最佳化控制系統研究，2012.10-2013.12，1.5萬元，已結題
  6. 企事業單位委託技術服務項目，農業物聯網信息監控系統設計與研發，2015.03-2016.05，2.85萬元，已結題

參與項目

  1. 國家自然科學基金面上項目：基於搜尋的圖像、視頻摳圖研究，2017.08-2021.12，80萬元，在研
  2. 國家自然科學基金面上項目：仿冒攻擊環境下的指靜脈識別關鍵問題研究及其性能評估，2015.08-2019.12，80.2萬元，在研
  3. 廣東省自然科學基金項目：基於序列成像模式的指脈認證與防偽研究，2016.05-2019.06，10萬元，在研
  4. 廣州市科技項目：3D視覺大數據和分析新方法研究，2017.01-2020.04，30萬元，在研
  5. 廣東省其他廳局級項目：線上式點膠機研發與產業化，2016.01-2017.12，15 萬元，在研
  6. 廣東省第三批重大科技專項（低碳技術創新與示範）項目計畫：商貿酒店節能運行管理智慧型化系 統研究與示範，2012.06－2014.05，200 萬元，已結題
  7. 2012 年南沙區高新技術產業化項目：基於物聯網技術的建築能源監管與空調節能控制產品產業化研究與示範，2012.08-2014.12，180 萬元，已結題

發表文章

期刊論文

  1. Qiuxia Wu, Zhiyong Wang, Feiqi Deng, Zheru Chi, and David Dagan Feng, 'Realistic Human Action Recognition with Multi-modal Feature Selection and Fusion,' IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, 43(4), p875-885, July 2013. (JCR一區, IF:5.131)
  2. Qiuxia Wu, Zhiyong Wang, Feiqi Deng, Wenxiong Kang, Zheru Chi, and David Dagan Feng, 'Discriminative Two-level Feature Selection for Realistic Human Action Recognition,' Journal of Visual Communication and Image Representation, 24(7), p1064-1074, October 2013. (SCI一區, IF: 1.836)
  3. Wenxiong Kang, and Qiuxia Wu, “Pose Invariant Hand Shape Recognition Based on Finger Geometry,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(11), p1510-1521, November 2014. (SCI一區, IF:5.131)
  4. Wenxiong Kang, and Qiuxia Wu, “Contactless Palm Vein Recognition Using a Mutual Foreground-Based Local Binary Pattern,” IEEE Transactions on Information Forensics and Security, 9(11), p1974-1985, November 2014. (SCI一區, IF:5.824)
  5. Zeyi Huang, Wenxiong Kang, Qiuxia Wu, and Xiaopeng Chen, “A new descriptor resistant to affine transformation and monotonic intensity change,” Computer Vision and Image Understanding, v 120, p 117-125, March 2014. (SCI二區, IF: 2.391)
  6. Wenxiong Kang, Yang Liu, Qiuxia Wu, and Xishun Yue, “Contact-free palm-vein recognition based on local invariant features,” PLoS One. 2014 May 27; 9(5):e97548. (SCI一區, IF:2.766)
  7. Wenxiong Kang, Xiaopeng Chen, and Qiuxia Wu, “The biometric recognition on contactless multi-spectrum finger images”, Infrared Physics and Technology, v 68, p 19-27, January 2015. (SCI二區，IF: 1.851)
  8. Xuekui Yan, Wenxiong Kang, Feiqi Deng, and Qiuxia Wu, “Palm vein recognition based on multi-sampling and feature-level fusion”, Neurocomputing, v 151, n P2, p 798-807, March 5, 2015. (SCI一區，IF:3.241)
  9. Xiaobin Zhuang, Wenxiong Kang, and Qiuxia Wu, “Real-time vehicle detection with foreground-based cascade classifier”, IET Image Processing, v 10, n 4, p 289-296, April 1, 2016. (SCI三區，IF: 1.401)
  10. Yuxun Fang, Wenxiong Kang, and Qiuxia Wu, Lei Tang, “A novel video-based system for in-air signature verification”, Computers & Electrical Engineering, v 57, p 1-14, January 2017. (SCI二區，IF: 1.747)
  11. Bin Zhu, Lianfang Tian, Qiliang Du, and Qiuxia Wu, Lixin Shi, “An Improved Fractional-Order Optical Flow Model for Motion Estimation”, Mathematical Problems in Engineering, v 2018, p 1-6, 10 May 2018. (SCI三區，IF: 1.145)
  12. Yuxun Fang, Qiuxia Wu, and Wenxiong Kang, “A novel finger vein verification system based on two-stream convolutional network learning”, Neurocomputing, v 290, p 100-107, 17 May 2018. (SCI一區，IF: 3.241)
  13. Linpu Fang, Guile Wu, Wenxiong Kang, Qiuxia Wu, Zhiyong Wang, and David Dagan Feng, “Feature covariance matrix-based dynamic hand gesture recognition”, Neural Computing and Applications, Article in Press, 15 September 2018. (SCI二區，IF: 2.737)
  14. Bin Zhu, Lianfang Tian, Qiliang Du, Qiuxia Wu, Farisi Zeyad Sahl, and Yao Yeboah, “Adaptive dual fractional-order variational optical flow model for motion estimation”, IET Computer Vision, Accepted, 25 September 2018. (SCI四區，IF: 0.864)
  15. Qiuxia Wu, Feiqi Deng, and Wenxiong Kang, “Human action recognition in complex scenes based on fuzzy integral fusion,” Journal of South China University of Technology (Natural Science), 40(1), p146-151, January 2012, in Chinese. (EI)

會議論文

  1. Qiuxia Wu, Zhiyong Wang, Feiqi Deng, and David Dagan Feng, 'Realistic Human Action Recognition with Audio Context,' International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia, December, 2010. (EI)
  2. Qiuxia Wu, Shiyang Lu, Zhiyong Wang, Feiqi Deng, Wenxiong Kang and David Dagan Feng, 'Structure Context of Local Features in Realistic Human Action Recognition,' The 3rd International Workshop on Video Event Categorization, Tagging and Retrieval for Real-World Applications (VECTaR2011 In Conjunction with ICCV 2011), Bacelona, Spain, November, 2011. (EI)
  3. Kaimin Yu, Zhiyong Wang, Genliang Guan, Qiuxia Wu, Zheru Chi, and Dagan Feng , “How many frames does facial expression recognition require?” Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012, p 290-295, 2012, Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2012. (EI)
  4. Dejian Li, Xishun Yue, Qiuxia Wu, and Wenxiong Kang, “CPGF: Core point detection from global feature for fingerprint”, in Proceedings of 10th Chinese Conference (CCBR 2015), p 224-232, 2015. (EI)
  5. Lei Tang, Yuxun Fang, Qiuxia Wu, Wenxiong Kang, and Junhong Zhao, “Online finger-writing signature verification on mobile device for local authentication”, in Proceedings of 11th Chinese Conference on Biometric Recognition (CCBR 2016), p 409-416, 2016. (EI)
  6. Zhixing Huang, Wenxiong Kang, Qiuxia Wu, Junhong Zhao, and Wei Jia, “A finger vein identification system based on image quality assessment”, in Proceedings of 11th Chinese Conference on Biometric Recognition (CCBR 2016), p 244-254, 2016. (EI)
  7. Xinwei Qiu, Senping Tian, Wenxiong Kang, Wei Jia, and Qiuxia Wu, “Finger Vein Presentation Attack Detection Using Convolutional Neural Networks”, in Proceedings of 12th Chinese Conference on Biometric Recognition (CCBR2017), p 296-305, 2017. (EI)
  8. Wing W. Y. Ng, Jinde Li, Jianjun Zhang, Qiuxia Wu, and Jiayong Li, “Visual words selection for human action recognition using rbfnn via the minimization of L-GEM”, in Proceedings of 2017 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2017), p 183-187, 2017. (EI)
  9. Xinyi Lu, Yuxun Fang, Qiuxia Wu, Junhong Zhao, and Wenxiong Kang, “A novel multiple distances based dynamic time warping method for online signature verification”, in Proceedings of 13th Chinese Conference on Biometric Recognition (CCBR 2018), p 645-652, 2018. (EI)
  10. Gengxing Wang, Wenxiong Kang, Qiuxia Wu, Zhiyong Wang, and Junbin Gao, “Generative adversarial network (GAN) based data augmentation for palmprint recognition”, 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, January 16, 2019. (EI)

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