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书的章节：

  1. Jiaji Wu, Lei Wang, Yong Fang, LC Jiao,. Multiplierless Reversible Integer TDLT/KLT for Lossy-to-lossless Hyperspectral Image Compression: Satellite Data Compression. Springer, ISBN 978-1-4614-1182-6, 2011.

部分论文：

  1. L. Zhu, J. Wu, B. Wang, G. Zhang, J. Wang, S. Chen, and M. Tan, “RS-AGENT: Large Language Models Guided Agent System for Remote Sensing Image Generation,” in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, pp. 7020–7024, 2024, doi: 10.1109/IGARSS53475.2024.10640804.
  2. G. Zhang, J. Wu, G. Jeon, Y. Chen, Y. Wang, and M. Tan, “Revealing Social Group Long-Term Survival for Smart Cities Based on Behavior Graph Structures Using Virtual Game,” IEEE Internet of Things Journal, vol. 10, no. 11, pp. 18733–18744, 2023.
  3. J. Cheng, L. Wang, J. Wu, X. Hu, G. Jeon, D. Tao, and M. Zhou, “Visual Relationship Detection: A Survey,” IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 8453–8466, Aug. 2022.
  4. G. Zhang, J. Wu, G. Jeon, Y. Chen, Y. Wang, and M. Tan, “Sustainable Society via Complexity Analysis of the Relationship Between Virtual Game Reward Mechanism and Addiction,” Sustainable Cities and Society, vol. 81, Art. no. 103842, 2022.
  5. G. Zhang, J. Wu, G. Jeon, Y. Chen, Y. Wang, and M. Tan, “Towards Understanding Metaverse Engagement via Social Patterns and Reward Mechanism: A Case Study of Nova Empire,” IEEE Transactions on Computational Social Systems, pp. 1–12, 2022.
  6. L. Wang, J. Wu, X. Liu, X. Ma, and J. Cheng, “Semantic Segmentation of Large-Scale Point Clouds Based on Dilated Nearest Neighbors Graph,” Complex & Intelligent Systems, 2022, doi: 10.1007/s40747-021-00618-0.
  7. L. Linghu, T. Wu, J. Wu, Z. Wu, and G. Jeon, “GPU-Accelerated Computation of EM Scattering of a Time-Evolving Oceanic Surface Model II: EM Scattering of Actual Oceanic Surface,” Remote Sensing, vol. 14, no. 12, Art. no. 2727, 2022.
  8. Z. Wu, J. Wu, T. Qu, H. Li, Z.-S. Wu, Q. Xu, X. Meng, J. Bai, and L. Yang, “Scattering Characteristics of an Electrically-Large Aircraft Objects Illuminated by Bessel Vortex Beams,” Applied Physics Letters, vol. 121, no. 6, 2022.
  9. G. Zhang, J. Wu, K. Zhao, X. Zhou, Y. Chen, Y. Wang, and M. Tan, “Sustainable Society Based on Social Gamification Using Nova Empire Ecology Mining,” Sustainable Cities and Society, vol. 66, Art. no. 102666, 2021.
  10. Z. Wu, T. Qu, J. Wu, Z. Wu, L. Yang, and X. Li, “Scattering of Electromagnetic Waves With Orbital Angular Momentum on Metallic Sphere,” IEEE Antennas and Wireless Propagation Letters, vol. 19, no. 8, pp. 1365–1369, Aug. 2020.
  11. L. Ma, J. Wu, J. Zhang, Z. Wu, G. Jeon, Y. Zhang, and T. Wu, “Research on Sea Clutter Reflectivity Using Deep Learning Model in Industry 4.0,” IEEE Transactions on Industrial Informatics, vol. 16, no. 9, pp. 5929–5937, Sept. 2020.
  12. L. Ma, J. Wu, J. Zhang, Z. Wu, G. Jeon, M. Tan, and Y. Zhang, “Sea Clutter Amplitude Prediction Using a Long Short-Term Memory Neural Network,” Remote Sensing, vol. 11, no. 23, Art. no. 2826, 2019.
  13. X. Meng, J. Wu, Z. Wu, T. Qu, and L. Yang, “Generating Dual-Polarization Beams Carrying Dual Orbital Angular Momentum Modes Based on Anisotropic Holographic Metasurfaces,” Journal of Physics D: Applied Physics, vol. 52, no. 30, 2019.
  14. J. Shi, Y. Lei, J. Wu, and G. Jeon, “Uncertain Active Contour Model Based on Rough and Fuzzy Sets for Auroral Oval Segmentation,” Information Sciences, vol. 492, pp. 72–103, 2019.
  15. X. Meng, J. Wu, Z. Wu, L. Yang, L. Huang, X. Li, and T. Qu, “Design, Fabrication, and Measurement of an Anisotropic Holographic Metasurface for Generating Vortex Beams Carrying Orbital Angular Momentum,” Optics Letters, vol. 44, no. 6, pp. 1452–1455, 2019.
  16. X. Meng, J. Wu, Z. Wu, L. Yang, L. Huang, X. Li, T. Qu, and Z. Wu, “Generation of Multiple Beams Carrying Different Orbital Angular Momentum Modes Based on Anisotropic Holographic Metasurfaces in the Radio-Frequency Domain,” Applied Physics Letters, vol. 114, no. 9, Art. no. 093504, 2019.
  17. L. Linghu, J. Wu, Z. Wu, G. Jeon, and X. Wang, “GPU-Accelerated Computation of Time-Evolving Electromagnetic Backscattering Field from Large Dynamic Sea Surfaces,” IEEE Transactions on Industrial Informatics, vol. 16, no. 5, pp. 3187–3197, 2019.
  18. J. Li, J. Wu, and G. Jeon, “GPU Acceleration of Clustered DPCM for Lossless Compression of Hyperspectral Images,” IEEE Transactions on Industrial Informatics, vol. 16, no. 5, pp. 2906–2916, 2019.
  19. J. Wu, Y. Xing, G. Shi, and L. Jiao, “Image Compression with Downsampling and Overlapped Transform at Low Bit Rates,” in Proc. IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, pp. 29–32, 2009, doi: 10.1109/ICIP.2009.5414006.
  20. L. Wang, J. Wu, L. Jiao, and G. Shi, “3D Medical Image Compression Based on Multiplierless Low-Complexity RKLT and Shape-Adaptive Wavelet Transform,” in Proc. IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, pp. 2493–2496, 2009, doi: 10.1109/ICIP.2009.5413932.
  21. X. Meng, J. Wu, Z. Wu, T. Qu, and L. Yang, “Design of Multiple-Polarization Reflectarray for Orbital Angular Momentum Wave in Radio Frequency,” IEEE Antennas and Wireless Propagation Letters, vol. 17, no. 12, pp. 2269–2273, 2018.
  22. X. Meng, J. Wu, Z. Wu, T. Qu, and L. Yang, “Dual-Polarized Reflectarray for Generating Dual Beams with Corresponding Two Different Orbital Angular Momentum Modes Based on Independent Feeds for Operation in C- and X-Bands,” Optics Express, vol. 26, no. 18, pp. 23185–23195, 2018.
  23. L. Linghu, J. Wu, B. Huang, Z. Wu, and M. Shi, “GPU-Accelerated Massively Parallel Computation of Electromagnetic Scattering of a Time-Evolving Oceanic Surface Model I: Time-Evolving Oceanic Surface Generation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 8, pp. 2752–2762, 2018.
  24. Y. Lei, J. Shi, Y. Zhou, M. Tao, and J. Wu, “Extraction of Auroral Oval Regions Using Suppressed Fuzzy C-Means Clustering,” in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, pp. 5724–5727, 2018, doi: 10.1109/IGARSS.2018.8518088.
  25. L. Ma, J. Wu, and C. Li, “Localization of a High-Speed Train Using a Speed Model Based on the Gradient Descent Algorithm,” Future Generation Computer Systems, vol. 85, pp. 201–209, 2018.
  26. J. Wu, L. Deng, and G. Jeon, “Image Autoregressive Interpolation Model Using GPU-Parallel Optimization,” IEEE Transactions on Industrial Informatics, vol. 14, no. 2, pp. 426–436, 2017.
  27. J. Wu, W. Li, and G. Jeon, “From Coarse- to Fine-Grained Implementation of Edge-Directed Interpolation Using a GPU,” Information Sciences, vol. 385–386, pp. 457–474, Apr. 2017.
  28. W. Kong, J. Wu, Z. Hu, M. Anisetti, E. Damiani, and G. Jeon, “Lossless Compression for Aurora Spectral Images with Fast Online Bi-Dimensional Decorrelation Method,” Information Sciences, vol. 381, pp. 33–45, 2017.
  29. J. Shi, Y. Lei, J. Bai, and J. Wu, “Gradually Evolved Fuzzy Active Contour Model for Auroral Oval Segmentation,” in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA, pp. 3771–3774, 2017, doi: 10.1109/IGARSS.2017.8127820.
  30. J. Wu, M. Anisetti, W. Wu, E. Damiani, and G. Jeon, “Bayer Demosaicking with Polynomial Interpolation,” IEEE Transactions on Image Processing, vol. 25, no. 11, pp. 5369–5382, Nov. 2016.
  31. X. Guo, J. Wu, Z. Wu, and B. Huang, “Parallel Computation of Aerial Target Reflection of Background Infrared Radiation: Performance Comparison of OpenMP, OpenACC and CUDA Implementations,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 4, pp. 1653–1662, Apr. 2016.
  32. J. Shi, J. Wu, M. Anisetti, E. Damiani, and G. Jeon, “An Interval Type-2 Fuzzy Active Contour Model for Auroral Oval Segmentation,” Soft Computing, pp. 1–21, 2015, doi: 10.1007/s00500-015-1943-7.
  33. J. Wu, W. Kong, B. Huang, and J. Mielikainen, “Lossless Compression of Hyperspectral Imagery via Clustered Differential Pulse Code Modulation with Removal of Local Spectral Outliers,” IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2194–2198, 2015.
  34. L. Wang, J. Bai, J. Wu, and G. Jeon, “Hyperspectral Image Compression Based on Lapped Transform and Tucker Decomposition,” Signal Processing: Image Communication, vol. 36, pp. 63–69, 2015.
  35. J. Wu, Z. Song, and G. Jeon, “GPU-Parallel Implementation of the Edge-Directed Adaptive Intra-Field Deinterlacing Method,” IEEE/OSA Journal of Display Technology, vol. 10, no. 9, pp. 746–753, 2014.
  36. X. Su, J. Wu, B. Huang, and Z. Wu, “GPU-Accelerated Computation of Electromagnetic Scattering of a Double-Layer Vegetation Model,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 4, pp. 1–8, 2013.
  37. J. Wu, Z. Xu, G. Jeon, X. Zhang, and L. Jiao, “Arithmetic Coding for Image Compression with Adaptive Weight-Context Classification,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 727–735, Aug. 2013.
  38. J. Wu, C. Liang, J. Han, Z. Hu, D. Huang, H. Hu, Y. Fang, and L. Jiao, “A Two-Stage Lossless Compression Algorithm for Aurora Image Using Weighted Motion Compensation and Context-Based Model,” Optics Communications, vol. 290, pp. 19–27, Oct. 2012.
  39. Y. Fang, J. Wu, and B. Huang, “2D Sparse Signal Recovery via 2D Orthogonal Matching Pursuit,” Science China Information Sciences, vol. 55, pp. 889–897, 2012.
  40. J. Wu, T. Li, T.-J. Hsieh, Y.-L. Chang, and B. Huang, “Digital Signal Processor-Based 3D Wavelet Error-Resilient Lossless Compression of High-Resolution Spectrometer Data,” Journal of Applied Remote Sensing, vol. 5, Art. no. 051504, Nov. 2011.
  41. A. Paul, J. Wu, J.-F. Yang, and J. Jeong, “Gradient-Based Edge Detection for Motion Estimation in H.264/AVC,” IET Image Processing, vol. 5, no. 4, pp. 323–327, 2011.
  42. L. Jiao, L. Wang, J. Wu, J. Bai, S. Wang, and B. Hou, “Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Images,” IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 2, pp. 326–330, 2011.
  43. J. Wu, A. Paul, Y. Xing, Y. Fang, J. Jeong, L. Jiao, and G. Shi, “Morphological Dilation Image Coding with Context Weights Prediction,” Signal Processing: Image Communication, vol. 25, no. 10, pp. 717–728, 2010.
  44. L. Wang, L. Jiao, J. Bai, and J. Wu, “Hyperspectral Image Compression Based on 3D Reversible Integer Lapped Transform,” IET Electronics Letters, vol. 46, no. 24, pp. 1601–1602, Nov. 2010.
  45. L. Wang, L. Jiao, J. Wu, G. Shi, and Y. Gong, “Lossy-to-Lossless Image Compression Based on Multiplier-Less Reversible Integer Time Domain Lapped Transform,” Signal Processing: Image Communication, vol. 25, pp. 622–632, Sept. 2010.
  46. L. Wang, J. Wu, L. Jiao, and G. Shi, “Lossy-to-Lossless Hyperspectral Image Compression Based on Multiplierless Reversible Integer TDLT/KLT,” IEEE Geoscience and Remote Sensing Letters, vol. 6, no. 3, pp. 587–591, Jul. 2009.
  47. L. Wang, J. Wu, L. Jiao, L. Zhang, and G. Shi, “Lossy-to-Lossless Image Compression Based on Reversible Integer DCT,” in Proc. IEEE International Conference on Image Processing (ICIP), San Diego, CA, USA, pp. 1037–1040, 2008, doi: 10.1109/ICIP.2008.4711935.
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