Dr. Huimin LU

Huimin Lu
Assistant Professor (Kyutech), Excellent Young Researcher (MEXT,Japan)
Kyushu Institute of Technology, Japan
ADD: E3-209, Sensui-cho 1-1, Tobata-ku, Kitakyushu 804-8550, Japan
TEL: +81-93-884-3183   FAX: +81-93-861-1159
Email: dr.huimin.lu*ieee.org (Please replace*with @)

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Huimin Lu received double M.S. degrees in Electrical Engineering from Kyushu Institute of Technology and Yangzhou University in 2011, respectively. He received a Ph.D. degree in Electrical Engineering from Kyushu Institute of Technology in 2014. From 2013 to 2016, he was a JSPS research fellow (DC2, PD, and FPD) at Kyushu Institute of Technology. Currently, he is an assistant professor in Kyushu Institute of Technology and an Excellent Young Researcher of Ministry of Education, Culture, Sports, Science and Technology-Japan. He serves as editor or associate editor for IEEE Access Journal, Computers & Electrical Engineering, Wireless Networks, etc. He is the Leading Guest Editor for ACM/Springer Mobile Networks and Applications, Optics & Laser Technology, Multimedia Tools and Applications, Applied Soft Computing, etc. His research interests include artificial intelligence, computer vision, computational imaging, deep-sea observing, internet of things and robotics. He has authored or co-authored 100+ papers in peer-reviewed journals and conferences, which have received 2000+ citations. As the lead editor, he has edited 3 books and have 60K+ downloads. He has received 20+ awards and 20+ funds from the governments and associations. He is elected as the Fellow of European Alliance for Innovation (EAI) in 2019.

Journal Editorial Board

Associate Editor, Applied Soft Computing-Elsevier
Associate Editor, Computers and Electrical Engineering-Elsevier
Associate Editor, IEEE Access Journal-IEEE
Associate Editor, Wireless Networks-Springer

Journal Reviewer

IEEE PAMI/TIP/TCSVT/TMM/CEM/Wireless Comm./Comm. Mag./Sensors Journal, PR, PRL, FGCS, ASOC, Information Fusion, etc.

Invited Talk

IEEE ERK2017; ISAIR2017;ISAIR2018;海中海底工学フォーラム・ZERO2019;

Conference Organizer

General Co-Chair: ISAIR2016; ISAIR2017; ISAIR2018;
Program Chair:  ISAIR2019;
General Chair: EAI/ROSENET2017; EAI/ROSENET2018;EAI/ROSENET2019;
Program Committee: PDCAT2019; ACPR2019;

Selected Journal Papers

  1. H. Lu, G. Liu, Y. Li, H. Kim, S. Serikawa, “Cognitive Internet of Vehicles for Automatic Driving”, IEEE Network, In Press, 2019.
  2. H. Lu, D. Wang, Y. Li, J. Li, X. Li, H. Kim, S. Serikawa, I. Humar, “CONet: A Cognitive Ocean Network”, IEEE Wireless Communications, In Press, 2019.
  3. Y. Sakai, H. Lu, J. Tan, H. Kim, “Recognition of surrounding environment from electric wheelchair vedeos based on modified YOLOv2”, Future Generation Computer Systems, vol.92, pp.157-161, 2019.
  4. H. Lu, T. Uemura, D. Wang, J. Zhu, Z. Huang, H. Kim, “Deep-sea organisms tracking using dehazing and deep learning”, Mobile Networks and Applications, In Press, 2019.
  5. H. Lu, Y. Li, T. Uemura, H. Kim, S. Serikawa, “Low illumination underwater light field images reconstruction using deep convolutional neural networks”, Future Generation Computer Systems, vol.82, pp.142-148, 2018.
  6. Y. Zhang, R. Gravina, H. Lu, M. Villari, G. Fortino, “PEA: Parallel electrocardiogram-based authentication for smart healthcare systems”, Journal of Network and Computer Applications, vol.117, pp.10-16, 2018.
  7. W. Zhao, H. Lu, D. Wang, “Multisensor image fusion and enhancement in spectral total variation domain”, IEEE Transactions on Multimedia,  vol.20, no.4, pp.866-879, 2018.
  8. H. Lu, Y. Li, S. Mu, D. Wang, H. Kim, S. Serikawa, “Motor anomaly detection for unmanned aerial vehicles using reinforcement learning”, IEEE Internet of Things Journal, vol.5, no.4, pp.2315-2322, 2018.
  9. R. Lan, H. Lu, Y. Zhou, Z. Liu, X. Luo, “An LBP Encoding Scheme Jointly Using Quaternionic Representation and Angular Information”, Neural Computing & Applications, DOI: 10.1007/s00521-018-03968-y, 2018.
  10. Y. Li, H. Lu, K. Li, H. Kim, S. Serikawa, “Non-uniform de-scattering and de-blurring of underwater images”, Mobile Networks and Applications, vol.23, pp.352-362, 2018.
  11. H. Lu, Y. Li, M. Chen, H. Kim, S. Serikawa, “Brain Intelligence: go beyond artificial intelligence”, Mobile Networks and Applications, vol.23, pp.368-375, 2018.
  12. H. Lu, B. Li, J. Zhu, Y. Li, Y. Li, L. He, J. Li, S. Serikawa, “Wound intensity correction and segmentation with convolutional neural networks,” Concurrency and Computation: Practice and Experience, vol.29, no.6, pp.3927, 2017.
  13. Y. Li, H. Lu, J. Li, X. Li, Y. Li, S. Serikawa, “Underwater image de-scattering and classification by deep neural network”, Computers and Electrical Engineering, vol.54, pp.68-77, 2016.
  14. H. Lu, Y. Li, S. Nakashima, S. Serikawa, “Turbidity underwater image restoration using spectral properties and light compensation”, IEICE Transactions on Information and Systems, vol.E-99D, no.1, pp.219-227, 2016.
  15. H. Lu, Y. Li, S. Nakashima, S. Serikawa, “Single image dehazing through improved atmospheric light estimation”, Multimedia Tools and Applications, vol.75, no.24, pp.17081-17096, 2016.
  16. H. Lu, Y. Li, L. Zhang, S. Serikawa, “Contrast enhancement for images in turbid water”, Journal of Optical Society of America-A, vol.32, no.5, pp.886-893, 2015.
  17. S. Serikawa, H. Lu, “Underwater image dehazing using joint trilateral filter”, Computers and Electrical Engineering , vol.40, no.1, pp.41-50, 2014.
  18. H. Lu, Seiichi Serikawa, “Design of freely configurable safety light curtain using hemispherical mirrors”, IEEJ Transactions on Electrical and Electronic Engineering, vol.8, no.S1, pp.S110-S111, 2013.
  19. H. Lu, L. Zhang, S. Serikawa, “Maximum local energy: an effective approach for image fusion in beyond wavelet transform domain”, Computers & Mathematics with Applications, vol.64, no.5, pp.996-1003, 2012.

Selected Conference Papers

  1. X. Xu, J. Song, H. Lu, Y. Yang, F. Shen, Z. Huang, “Modal-adversarial Semantic Learning Network for Extendable Cross-modal Retrieval”, Proc. of 2018 ACM on International Conference on Multimedia Retrieval (ICMR2018), pp.46-54, 2018.
  2. X. Xu, J. Song, H. Lu, L. He, Y. Yang, F. Shen, “Dual Learning for Visual Question Generation”,  Proc. of 2018 IEEE International Conference on Multimedia and Expo (ICME2018), pp.1-6, 2018.
  3. L. He, X. Xu, H. Lu, Y. Yang, F. Shen, H. Shen, “Unsupervised cross-model retrieval through adversarial learning”, Proc. of 2017 IEEE International Conference on Multimedia and Expo (ICME2017), pp.1-6, 2017.
  4. Y. Nakagawa, K. Kihara, R. Tadoh, S. Serikawa, H. Lu, Y. Zhang, Y. Li, “Super resolving of the depth map for 3D reconstruction of underwater terrain using Kinect,” Proc. Of The 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS2016), pp.1237-1240, 2016.
  5. H. Lu, Y. Li, X. Xu, L. He, D.G. Dansereau, S. Serikawa, “Underwater image descattering and quality assessment”, Proc. of 2016 IEEE International Conference on Image Processing (ICIP2016), pp.1998-2002, 2016.
  6. H. Lu, Y. Li, S. Serikawa, J. Li, Z. Liu, X. Li, “Image restoration method for deep-sea tripod observation systems in the South China Sea”, Proc. of MTS/IEEE Oceans 2015, pp.1-6, Washington DC, USA.
  7. H. Lu, Y. Li, S. Serikawa, “Single underwater image descattering and color correction”, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2015), pp.1623-1627, 2015.
  8. H. Lu, S. Serikawa, “Underwater scene enhancement using weighted guided median filter”, Proc. of IEEE International Conference on Multimedia and Expo (ICME2014), pp.1-6, 2014.
  9. H. Lu, Y. Li, S. Serikawa, “Underwater image enhancement using guided trigonometric bilateral filter and fast automatic color correction”, Proc. of 2013 IEEE International Conference on Image Processing (ICIP2013), pp.3412-3416, 2013.
  10. H. Lu, Y. Li, L. Zhang, A. Yamawaki, S. Yang, S. Serikawa, “Underwater optical image dehazing using guided trigonometric bilateral filtering”, Proc. of 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), pp.2147-2150, 2013.


  1. Artificial Intelligence and Computer Vision (Springer-Nature, 2017) http://www.springer.com/us/book/9783319462448 (13k+ downloads)
  2. Artificial Intelligence and Robotics (Springer-Nature, 2018) http://www.springer.com/la/book/9783319698762 (53k+ downloads/Top 10 Downloaded Books of Springer in 2018)
  3. Cognitive Internet of Things: Frameworks, Tools and Applications (Springer-Nature, 2019)  https://www.springer.com/jp/book/9783030049454


地址:日本国福冈县北九州市户畑区仙水町1-1E3-209室,邮编 804-8550
电子邮件:dr.huimin.luieee.org (请将邮箱地址中的*置换为@)




陸 慧敏(工学博士)

場所:福岡県北九州市戸畑区仙水町11, E3-209, 804-8550.
E-mail: dr.huimin.luieee.org(@」を「*」に置換してください)



(課題2)次世代人工知能(Beyond AI)基盤技術の研究開発
本研究では「単なる」次世代人工知能基盤技術の開発ではなく、日本独自の超知能「Beyond AI」技術を確立することである。これは異なる領域の全ての脳機能と協調し、多様な複雑な問題を解決できる知能学習技術の開発とその応用研究を行う。