Publication

Journal Papers
Wireless Communication
1. Y. Li, Y. Jiang, D. Tian, L. Hu, H. Lu, Z. Yuan, “AI-enabled emotion communication” IEEE Network, In Press, 2020.
2. H. Lu, G. Liu, Y. Li, H. Kim, S. Serikawa, “Cognitive Internet of vehicles for automatic driving”, IEEE Network, vol.33, no.3, pp.65-73, 2019.
3. H. Lu, D. Wang, Y. Li, J. Li, X. Li, H. Kim, S. Serikawa, I. Humar, “CONet: A cognitive ocean network”, IEEE Wireless Communications, vol.26, no.3, pp.90-96, 2019.
4. 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.

Low-level Image Processing
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. S. Serikawa, H. Lu, “Underwater image dehazing using joint trilateral filter”, Computers and Electrical Engineering , vol.40, no.1, pp.41-50, 2014.
8. 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.
9. R. Lan, H. Lu, X. Luo et al., “Cascading and Enhanced Residual Networks for Accurate Single Image Super-resolution”, IEEE Transactions on Cybernetics, In Press, 2019.

Artificial Intelligence
1. 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.
2. 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.
3. 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.
4. 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.
5. 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.

Robotics
1. 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.
2. 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.
3. Z. Jiang, J. Zhu, Y. Li, J. Wang, Z. Li, H. Lu, “Simultaneous merging multiple grid maps using the robust motion averaging”, Journal of Intelligent & Robotic Systems, vol.94, no.3-4, pp.655-668, 2019.

Multimedia Retrieval
1. X. Xu, H. Lu, J. Song, Y. Yang, H.T. Shen, X. Li, “Ternary adversarial networks with self-supervision for zero-shot cross-modal retrieval”, IEEE Transactions on Cybernetics, In Press, 2019.
2. X. Xu, L. He, A. Shimada, R. Taniguchi, H. Lu, “Learning unified binary codes for cross-modal retrieval via latent semantic hashing”, Neurocomputing, vol.213, pp.191-203, 2016.
3. X. Xu, L. He, H. Lu, L. Gao, Y. Ji, “Deep adversarial metric learning for cross-modal retrieval”, World Wide Web, vol.22, no.2, pp.657-672, 2019.
4. P. Liang, Y. Yang, Y. Ji, H. Lu, H.T. Shen, “Coarse to Fine: Improving VQA with Cascaded-Answering Model”, IEEE Transactions on Knowledge and Data Engineering, 2019.

Conference Papers
1. Z. Wang, Z. Huang, Y. Luo, H. Lu, “Object interaction-aware visual dialogue generation”, ACMMM2019.
2. 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.
3. 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.
4. 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.
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.

Books
1. Artificial Intelligence and Computer Vision (Springer-Nature, 2017) http://www.springer.com/us/book/9783319462448 (16K+ downloads)
2. Artificial Intelligence and Robotics (Springer-Nature, 2018) http://www.springer.com/la/book/9783319698762 (69K+ 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 (10K+ downloads)

%d bloggers like this: