Selected Publications

  1. Tian Guo, Hui Yuan#, Raouf Hamzaoui, Xiaohui Wang, and Lu Wang, “Dependency-based coarse-to-fine approach for reducing distortion accumulation in G-PCC attribute compression,” IEEE Transactions on Industrial Informatics, Early Access, Jun. 2024, DOI: 10.1109/TII.2024.3403262.
  2. Congrui Fu, Hui Yuan#, Liquan Shen, Raouf Hamzaoui, and Hao Zhang, “3DAttGAN: A 3D attention-based generative adversarial network for joint space-time video super-resolution,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 4, pp. 3117-3128, Aug. 2024, DOI: 10.1109/TETCI.2024.3369994 [Code]
  3. Hao Liu, Hui Yuan#, Raouf Hamzaoui, Qi Liu, Shuai Li, “PU-Mask: 3D point cloud upsampling via an implicit virtual mask,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 7, pp. 6489-6502, Jul. 2024. DOI: 10.1109/TCSVT.2024.3370001 [Code]
  4. Chang Sun, Hui Yuan#, Shuai Li, Xin Lu, and Raouf Hamzaoui, “Enhancing context models for point cloud geometry compression with context feature residuals and multi-loss,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 14, no. 2, pp. 224-234, Jun. 2024, DOI: 10.1109/JETCAS.2024.3367729 [Code]
  5. Jinrui Xing, Hui Yuan#, Wei Zhang, Tian Guo, Chen Chen, “A small-scale image U-Net-based color quality enhancement for dense point cloud,” IEEE Transactions on Consumer Electronics, vol.70, no.1, pp. 669-683, Feb. 2024. DOI: 10.1109/TCE.2024.3367539 [Code]
  6. J. Xing*, H. Yuan#*, R. Hamzaoui, H. Liu, and J. Hou, “GQE-Net: A graph-based quality enhancement network for point cloud color attribute,” IEEE Transactions on Image Processing, vol. 32, pp. 6303 – 6317, Nov. 2023.  https://doi.org/10.1109/TIP.2023.3330086 [Code]
  7. H. Liu*, H. Yuan#*, J. Hou#, R. Hamzaoui, W. Gao, “PUFA-GAN: a frequency-aware generative adversarial network for 3D point cloud upsampling,” IEEE Transactions on Image Processing, vol. 31, pp. 7389 – 7402, Nov. 2022. DOI: 10.1109/TIP.2022.3222918 [Code]
  8. H. Liu, H. Yuan#, Q. Liu, J. Hou, H. Zeng, and K. Sam, “A hybrid compression framework for color attributes of static 3D point clouds,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 3, pp. 1564-1577, Mar. 2022. DOI: 10.1109/TCSVT.2021.3069838
  9. Q. Liu, H. Yuan#, H. Su, H. Liu, Y. Wang, H. Yang, and J. Hou, “PQA-Net: deep no reference point cloud quality assessment via multi-view projection,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 12, pp. 4645-4660, Dec. 2021. DOI: 10.1109/TCSVT.2021.3100282 [Code]
  10. Q. Liu, H. Yuan#, R. Hamzaoui, H. Su, J. Hou, and H. Yang, “Reduced reference perceptual quality model with application to rate control for video-based point cloud compression,” IEEE Transactions on Image Processing, vol. 30, pp. 6623-6636, Jul. 2021.  DOI: 10.1109/TIP.2021.3096060 [Code]
  11. H. Yuan, Q. Wang, Q. Liu#, J. Huo, and P. Li, “Hybrid distortion-based rate-distortion optimization and rate control for H.265/HEVC,” IEEE Transactions on Consumer Electronics, vol. 67, no.2, pp. 97-106, Jun. 2021. DOI: 10.1109/TCE.2021.3065636
  12. Q. Liu, H. Yuan#, J. Hou, R. Hamzaoui, H. Su, “Model-based joint bit allocation between geometry and color for video-based 3D point cloud compression,” IEEE Transactions on Multimedia, vol. 23, pp. 3278-3291, Sep. 2021. DOI: 10.1109/TMM.2020.3023294
  13. H. Yuan, S. Zhao, J. Hou#, X. Wei, and S. Kwong, “Spatial and temporal consistency-aware dynamic adaptive streaming for 360-degree videos,” IEEE Journal of Selected Topics in Signal Processing, vol.14, no. 1, pp. 177-193, Jan. 2020. DOI: 10.1109/JSTSP.2019.2957981
  14. H. Yuan, X. Hu, J. Hou#, X. Wei, and S. Kwong, “An ensemble rate adaptation framework for dynamic adaptive streaming over HTTP,” IEEE Transactions on Broadcasting, vol. 66, no. 2, pp. 251-263, Jun. 2020.  DOI: 10.1109/TBC.2019.2954074
  15. H. Liu, H. Yuan#, Q. Liu, J. Hou, J. Liu, “A comprehensive study and comparison of core technologies for MPEG 3D point cloud compression,” IEEE Transactions on Broadcasting,vol. 66, no. 3, pp. 701-717, Sep. 2020. DOI: 10.1109/TBC.2019.2957652
  16. H. Yuan, H. Fu, J. Liu, J. Hou, and S. Kwong, “Non-cooperative game theory based rate adaptation for dynamic video streaming over HTTP,” IEEE Transactions on Mobile Computing, vol.17, no.10, pp. 2334-2348, Oct. 2018. DOI: 10.1109/TMC.2018.2800749
  17. H. Yuan, X. Wei, F. Yang, J. Xiao, and S. Kwong, “Cooperative bargaining game-based multiuser bandwidth allocation for dynamic adaptive streaming over HTTP,” IEEE Transactions on Multimedia, vol.20, no. 1, pp. 183-197, Jan. 2018. DOI: 10.1109/TMM.2017.2724850
  18. H. Yuan, C. Guo, J. Liu, X. Wang, S. Kwong, “Motion-homogeneous-based fast transcoding method from H.264/AVC to HEVC,” IEEE Transactions on Multimedia, vol.19, no. 7, pp. 1416-1430, Jul. 2017. DOI: 10.1109/TMM.2017.2669858
  19. H. Yuan, H. Fu, J. Liu, and J. Xiao, “End-to-end distortion-based multiuser bandwidth allocation for real-time video transmission over LTE network,” IEEE Transactions on Broadcasting, vol. 63, no. 2, pp.338-349, Jun. 2017. DOI: 10.1109/TBC.2016.2630267
  20. H. Yuan, S. Kwong, X. Wang, Y. Zhang, F. Li, “A virtual view PSNR estimation method for 3-D videos,” IEEE Transactions on Broadcasting, vol. 62, no. 1, pp. 134-140, Mar. 2016. DOI: 10.1109/TBC.2015.2492461
  21. H. Yuan, S. Kwong, X. Wang, W. Gao, Y. Zhang, “Rate distortion optimized inter-view frame level bit allocation method for MV-HEVC,” IEEE Transactions on Multimedia, vol. 17, no. 12, pp. 2134-2146, Dec. 2015. DOI: 10.1109/TMM.2015.2477682
  22. H. Yuan, S. Kwong, C. Ge, X. Wang and Y. Zhang, “Interview rate distortion analysis-based coarse to fine bit allocation algorithm for 3-D video coding,” IEEE Transactions on Broadcasting, vol.60, no.4, pp. 614-625, Dec. 2014. DOI: 10.1109/TBC.2014.2361964
  23. H. Yuan, S. Kwong, J. Liu, J. Sun, “A novel distortion model and lagrangian multiplier for depth maps coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no.3, pp.443-451, Mar. 2014. DOI: 10.1109/TCSVT.2013.2280071
  24. H. Yuan, J. Liu, H. Xu, Z. Li and W. Liu, “Coding distortion elimination of virtual view synthesis for 3D video system: theoretical analyses and implementation,” IEEE Transactions on Broadcasting, vol.58, no.4, pp. 558-567, Dec. 2012. DOI: 10.1109/TBC.2012.2187612
  25. H. Yuan, J. Liu, J. Sun, H. Liu, and Y. Li, “Affine model based motion compensation prediction for zoom,” IEEE Transactions on Multimedia, vol.14, no.4, pp. 1370-1375, Aug. 2012. DOI: 10.1109/TMM.2012.2190393
  26. H. Yuan, Y. Chang, J. Huo, F. Yang, and Z. Lu, “Model-based joint bit allocation between texture videos and depth maps for 3-D video coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol.21, no 4, pp. 485-497, Apr. 2011. DOI: 10.1109/TCSVT.2011.2125610
  27. Wang Liu, Wei Gao, Ge Li, Siwei Ma, Tiesong Zhao, Hui Yuan, “Enlarged motion-aware and frequency-aware network for compressed video artifact reduction,” IEEE Transactions on Circuits and Systems for Video Technology, Early Access, Jul. 2024. DOI: 10.1109/TCSVT.2024.3406425.
  28. Linxia Zhu, Jun Cheng, Xu Wang#, Honglei Su#, Huan Yang, Hui Yuan, Jari Korhonen, “3DTA: No-reference 3D point cloud quality assessment with twin attention,” IEEE Transactions on Multimedia, Early Access, Jul. 2024. DOI: 10.1109/TMM.2024.3407698
  29. Z. Wang, L. Shen, Y. Yu, H. Yuan, “UIERL: Internal-external representation learning network for underwater image enhancement,” IEEE Transactions on Multimedia, Early Access, Jul. 2024, DOI: 10.1109/TMM.2024.3387760.
  30. H. Su, Q. Liu, H. Yuan, Q. Cheng, and R. Hamzaoui, “Support vector regression-based reduced-reference perceptual quality model for compressed point clouds,” IEEE Transactions on Multimedia, vol.26, pp. 6238 - 6249, Dec. 2023. DOI: 10.1109/TMM.2023.3347638.
  31. W. Gao, H. Yuan, G. Li, Z. Li, H. Yuan, “Low complexity coding unit decision for video-based point cloud compression,” IEEE Transactions on Image Processing, vol. 33, pp. 149 - 162, Dec. 2023.
  32. Junyan Huo, Danni Wang, Hui Yuan, Shuai Wan, and Fuzheng Yang, “Adaptive chroma prediction based on luma difference for H.266/VVC,” IEEE Transactions on Image Processing, vol. 32, pp. 6318 - 6331, Nov. 2023.
  33. Honglei Su, Qi Liu, Yuxin Liu, Hui Yuan, Huan Yang, Zhenkuan Pan and Zhou Wang, “Bitstream-based perceptual quality assessment of compressed 3D point clouds,” IEEE Transactions on Image Processing, vol. 32, pp. 1815 - 1828, Mar. 2023.
  34. Qi Liu, Honglei Su, Tianxin Chen, Hui Yuan, Raouf Hamzaoui, “No-reference bitstream-layer model for perceptual quality assessment of V-PCC encoded point clouds,” IEEE Transactions on Multimedia, vol. 25, pp.  4533 – 4546, Oct. 2023.
  35. J. Huo, H. Du, X. Li, S. Wan, H. Yuan, Y. Ma, and F. Yang, “Unified cross-component linear model in VVC based on a subset of neighboring samples,” IEEE Transactions on Industrial Informatics, vol. 18, no.12, pp. 8654 - 8663, Dec. 2022.
  36. J. Huang, Z. Chen, Q. M. J. Wu, C. Liu, H. Yuan, W. He, “CATFPN: adaptive feature pyramid with scale-wise concatenation and self-attention,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 12, pp. 8142 - 8152, Dec. 2022.
  37. X. Wei, S. Kwong, M. Zhou, H. Yuan, W. Jia, “A hybrid control scheme for 360-degree dynamic adaptive video streaming over mobile devices,” IEEE Transactions on Mobile Computing, vol. 21, no. 10, pp. 3428 - 3442, Oct. 2022.
  38. Junyan Huo, Xile Zhou, Hui Yuan, Shuai Wan, Fuzheng Yang, “Fast rate-distortion optimization for depth maps in 3D video coding,” IEEE Transactions on Broadcasting, vol. 69, no. 1, pp. 21-32, Jul. 2023.
  39. Y. Jian, Y. Gao, S. Li, H. Yuan, and F. Dufaux, “A global appearance and local coding distortion based fusion framework for CNN based filtering in video coding,” IEEE Transactions on Broadcasting, vol. 68, no. 2, pp. 370 - 382, Jun. 2022.
  40. S. Gu, J. Hou, H. Zeng, H. Yuan, and K.-K. Ma, “3D point cloud attribute compression using geometry-guided sparse representation,” IEEE Transactions on Image Processing, vol.29, pp. 796-808, 2020.
  41. L. Zhu, Y. Zhang, S. Wang, H. Yuan, S. Kwong, and H. H. S. Ip, “Convolutional neural network based synthesized view quality enhancement for 3D video coding,” IEEE Transactions on Image Processing, vol. 27, no. 11, pp. 5365-5377, Nov. 2018.
  42. J. Lei, X. He, H. Yuan, F. Wu, N. Ling, and C. Hou, “Region adaptive R-λ model based rate control for depth maps coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 6, pp. 1390-1405, Jun. 2018.
  43. W. Gao, S. Kwong, Y. Zhou, H. Yuan, “SSIM-based game theory approach for rate-distortion optimized intra frame CTU-level bit allocation,” IEEE Transactions on Multimedia, vol. 18, no. 6, pp.988-999, Jun. 2016.
  44. W. Gao, S. Kwong, H. Yuan, and X. Wang, “DCT coefficient distribution modeling and quality dependency analysis based frame-level bit allocation for HEVC,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 1, pp.139-153, Jan. 2016.
  45. Y. Zhang, S. Kwong, G. Zhang, Z. Pan, H. Yuan, and G. Jiang, “Low complexity HEVC INTRA coding for high-quality mobile video communication,” IEEE Transactions on Industrial Informatics, vol. 11, no. 6, pp. 1492-1504, Dec. 2015
  46. Y. Zhang, S. Kwong, X. Wang, H. Yuan, Z. Pan, and L. Xu, “Machine learning-based coding unit depth decisions for flexible complexity allocation in High Efficiency Video Coding,” IEEE Transactions on Image Processing, vol.24, no. 7, pp. 2225-2238, Jul. 2015.
  47. Chang Sun, Hui Yuan#, Xiaolong Mao, Xin Lu, Raouf Hamzaoui, “Enhancing octree-based context models for point cloud geometry compression with attention-based child node number prediction,” IEEE Signal Processing Letters, vol. 31, pp. 1835-1839, Jul. 2024. DOI: 10.1109/LSP.2024.3426918
  48. Shiqi Jiang, Ting Ren, Congrui Fu, Shuai Li, Hui Yuan#, “OMR-NET: a two-stage octave multi-scale residual network for screen content image compression,” IEEE Signal Processing Letters, vol.31, pp. 1800 - 1804, Jun. 2024. DOI: 10.1109/LSP.2024.3411917.
  49. H. Yuan, Y. Chang, Z. Lu, Y. Ma, “Model based motion vector predictor for zoom motion,” IEEE Signal Processing Letters, vol. 17, no. 9, pp.787-790, Sep. 2010.
  50. Shuai Li, Yanbo Gao, Chuankun Li, Hui Yuan, “Aligned intra prediction and hyper scale decoder under multistage context model for JPEG AI,” IEEE Signal Processing Letters, vol. 31, pp. 1545-1549, May. 2024. DOI: 10.1109/LSP.2024.3407597. 
  51. S. Gu, J. Hou, H. Zeng, and H. Yuan, “3D point cloud attribute compression via graph prediction,” IEEE Signal Processing Letters, vol. 27, pp. 176-180, Jan. 2020.
  52. Z. Zheng, J. Huo, B. Li, H. Yuan, “Fine virtual view distortion estimation method for depth map coding,” IEEE Signal Processing Letters, vol.25, no.3, pp.417-421, Mar, 2018.
  53. H. Yuan, M. Li, J. Hou, and J. Xiao, “Single image-based head pose estimation with spherical parametrization and 3D morphing,” Pattern Recognition, vol.103, pp.107316:1-13, Jun. 2020.
  54. Xiaolong Mao, Hui Yuan#, Xin Lu, Raouf Hamzaoui, and Wei Gao, “PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression,” Computational Visual Media Journal, DOI…, Oct. 2024.
  55. Hui Yuan, Raouf Hamzaoui#, Ferrante Neri#, Shengxiang Yang, Shengxiang Yang, Xin Lu, Linwei Zhu, Yun Zhang, “Optimized quantization parameter selection for video-based point cloud compression,” Frontiers in Signal Processing, vol. 4, Jul. 2024. DOI 10.3389/frsip.2024.1385287
  56. Muhammad Ilyas Khattak, Hui Yuan#, Ayaz Ahmad, Manzoor Ahmed, Ajmal Khan, Inamullah, “PAM: predictive analytics and modules‐based computation offloading framework using greedy heuristics and 5GNR-V2X,” Transactions on Emerging Telecommunications Technologies, vol. 35, no. 7, e5003, Jul. 2024.
  57. Congrui Fu, Hui Yuan#, Hongji Xu, Hao Zhang, Liquan Shen, “Cuboid-Net: A multi-branch convolutional neural network for joint space-time video super resolution,” IET Image Processing, vol. 17, no. 14, pp. 4089–4101, Dec. 2023.
  58. Muhammad Ilyas Khattak, Hui Yuan#, Ayaz Ahmad, Ajmal Khan, Ammar Hawbani, Inamullah, “TSM: Temporal segmentation and modules-based computation offloading using predictive analytics and NR-V2X,” Internet of Things, vol.23, article 100912, Dec. 2023. [Code]
  59. Y. Chu, H. Yuan#, S. Jiang, and C. Fu “Neural network-based reference block quality enhancement for motion compensation prediction,” Applied Sciences-Basel, vol. 13, no. 5, article no. 2795, Feb. 2023.
  60. Tian Guo, Hui Yuan#, Lu Wang, and Tingting Wang, “Rate-distortion optimized quantization for geometry-based point cloud compression,” Journal of Electronic Imaging, vol. 32, no. 1, article no. 013047, Feb. 2023.
  61. C. Fu, H. Yuan#, H. Xu, H. Zhang, and L. Shen, “TMSO-Net: Texture adaptive multi-scale observation for light field image depth estimation”, Journal of Visual Communication and Image Representation, vol. 90, article 103731, Feb. 2023.
  62. Muhammad Ilyas Khattak and Yuan Hui# and Ayaz Ahmad and Ajmal Khan and Inamullah, “RPRA: Reputation-based prioritization and resource allocation leveraging predictive analytics and vehicular fog computing”, Ad Hoc Networks, volume 155, article no. 103401, Mar. 2024. 
  63. H. Yuan, D. Zhang, W. Wang, and Y. Li#, “A sampling-based 3D point cloud compression algorithm for immersive communication,” Mobile Networks and Applications, vol. 25, pp.1863–1872, Oct. 2020. [Code]
  64. H. Yuan, C. Liu, Z. Guo, and Z. Sun, “A region-wised medium transmission based image dehazing method,” IEEE Access, vol. 5, pp. 1735-1742, Mar. 2017.
  65. H. Yuan, J. Liu, J. Ren, Y. Li, “Coding modes-based frame skip avoidance scheme for low bit rate video coding,” Journal of Real-Time Image Processing, vol. 9, no. 4, pp. 609-619, Dec. 2014.
  66. H. Yuan, J. Liu, Z. Li and W. Liu, “Virtual view oriented distortion criterion for depth maps coding,” IET Electronics Letters, vol. 48, no. 1, pp. 23-25, Jan. 2012.
  67. H. Yuan, Y. Chang, Z. Lu, M. Li, “Fast and efficient intra prediction method for H.264/AVC,” Optical Engineering, vol. 49, no 4, pp.1-3, Apr. 2010.
  68. Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, Hui Yuan, “Global structure-aware diffusion process for low-light image enhancement,” in Proc. 37th Conference on Neural Information Processing Systems (NeurIPS2023), Dec 10, 2023 - Dec 16, 2023, New Orleans, USA.
  69. Shiqi Jiang, Hui Yuan#, Shuai Li, Xiaolong Mao, “Fourier series and laplacian noise-based quantization error compensation for end-to-end learning-based image compression,” in Proc. IEEE International Conference on Image Processing (ICIP), pp. 2975-2979, Oct 8-11, 2023. Kuala Lumpur, Malaysia.
  70. T. Guo, H. Yuan#, T. Wang, W. Gao, “Graph filter-based fast motion matching for inter frame coding of MPEG G-PCC,” in Proc. IEEE International Conference on Image Processing (ICIP), pp. 1151-1155, Oct. 2022, Bordeaux, France.
  71. Jinrui Xing, Hui Yuan#, Chen Chen, and Tian Guo, “Wiener filter-based point cloud adaptive denoising for video-based point cloud compression,” in Proc. ACM International Multimedia Conference: the 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis, pp. 21-25, Oc. 2022, Lisbon, Portugal.
  72. H. Liu, H. Yuan#, R. Hamzaoui, W. Gao, S. Li, “PU-Refiner: a geometry refiner with adversarial learning for point cloud upsampling,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May. 7-13, 2022, Singapore.
  73. X. Zhang, W. Gao, H. Yuan, G. Li, “JE2NET: Joint exploitation and exploration in reinforcement learning based image restoration,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May. 7-13, 2022, Singapore.
  74. Mohamed Dafaallah, H. Yuan#, S. Jiang, Y. Yang, “An attention-based network for single image HDR reconstruction,” in Proc. IEEE Symposium on Circuits and Systems (ISCAS), May. 28-Jun. 1, 2022, Austin, Texas, USA.
  75. Y. Yang, Y. Liu, H. Yuan#, and Y. Chu, “Deep colorization: a channel attention-based CNN for video colorization,” in Proc. the 5th International Conference on Image and Graphics Processing (ICIGP), pp.275-280, Jan. 7-9, 2022, Beijing, China.
  76. X. Wei, M. Zhou, S. Kwong, H. Yuan, and T. Xiang, “Joint reinforcement learning and game theory bitrate control method for 360-degree dynamic adaptive streaming,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun. 6-11, 2021, Toronto, ON, Canada.
  77. L. Zhou, H. Yuan#, C. Ge, “ConvLSTM-based neural network for video semantic segmentation,” in Proc. IEEE International Conference on Visual Communications and Image Processing (VCIP), Dec. 5-8, 2021, Munich, Germany.
  78. L. Wang, J. Sun, H. Yuan, R. Hamzaoui, and X. Wang, “Kalman filter-based prediction refinement and quality enhancement for geometry-based point cloud compression,” in Proc. IEEE International Conference on Visual Communications and Image Processing (VCIP), Dec. 5-8, 2021, Munich, Germany.
  79. Y. Liu , X. Ma#, H. Yuan, Y. Yang, and Q. Liu, “A channel attention-based convolutional neural network for intra chroma prediction of H.266/Versatile Video Coding,” in Proc. 16th Chinese Conference on Image and Graphics Technologies and Applications (IGTA), pp. 49-59, Jun. 6–7, 2021, Beijing, China.
  80. H. Yuan#, R. Hamzaoui, N. Ferrante, S. Yang, and T. Wang, “Global rate-distortion optimization of video-based point cloud compression with differential evolution” in Proc. IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), Oct. 6-8, 2021, Tampere, Finland.
  81. H. Yuan#, R. Hamzaoui, N. Ferrante, and S. Yang, “Model-based rate-distortion optimized video-based point cloud compression with differential evolution,” in Proc. 11th International Conference on Image and Graphics (ICIG), Dec. 26-28, 2021, Haikou, China.
  82. C. Fu, X. Ma, Y. Liu, J. Hou, and H. Yuan#, “DRLFNet: A dense-connection residual learning neural network for light field super resolution,” in Proc. 11th International Conference on Image and Graphics (ICIG), Dec. 26-28, 2021, Haikou, China.
  83. X. Wang, G. Sun, Hui Yuan, L. Wang, R. Hamzaoui, “Adaptive quantization for predicting transform-based point cloud compression,” in Proc. 11th International Conference on Image and Graphics (ICIG), Dec. 26-28, 2021, Haikou, China.
  84. X. Wei, M. Zhou, S. Kwong, H. Yuan, and T. Xiang, “QoE-based neural live streaming method with continuous dynamic adaptive video quality control,” in Proc. IEEE International Conference on Multimedia and Expo (ICME), Jul. 5-9, 2021, Shenzhen, China.
  85. Y. Huang, B. Wang, C.-C. Jay Kuo, H. Yuan#, J. Peng#, “Hierarchical bit-wise differential coding (HBDC) of point cloud attributes,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun. 6-11, 2021, Toronto, ON, Canada.
  86. H. Chen, S. Zhang, H. Yuan, X. Yang, H. Zhang, J. Sun, “Monocular 3D pedestrian localization fusing with bird’s eye view,” in Proc. IEEE International Symposium on Circuits and Systems (ISCAS), pp. 23-26, May.22-28, 2021, Daegu, Korea.
  87. Y. Zeng, Y. Qian, Z. Zhu, J. Hou, H. Yuan, Y. He, “CorrNet3D: unsupervised end-to-end learning of dense correspondence for 3D point clouds,” in Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun.19-25, 2021, Nashville, TN, USA.
  88. J. Jin, J. Hou, H. Yuan, S. Kwong, “Learning light field angular super-resolution via a geometry-aware network,” in Proc. 34th AAAI Conference on Artificial Intelligence (AAAI-20), pp. 11141-11148,Feb. 7-12, 2020, New York, USA.
  89. Q. Wang, H. Yuan#, J. Huo, P. Li, “A fidelity-assured rate distortion optimization method for perceptual-based video coding,” in Proc. of IEEE International Conference on Image Processing (ICIP2019), pp. 22-25 Sept. 2019, Taipei, Taiwan.
  90. Z. Pan, S. Kwong, Y. Zhang, J. Lei, and H. Yuan, “Fast coding tree unit depth decision for High Efficiency Video Coding,” in Proceeding of the 2014th IEEE International Conference on Image Processing(ICIP2014), pp. 3214-3218, Oct. 2014, Paris, France.

 

Standard Proposals

  1. Hui Yuan, Zehan Wang, Yuxuan Wei, and Liquan Shen, “[G-PCC][EE13.60 Test7] Report on adaptive skip coding of RAHT coefficients for GeS-TM,” in Proc. 147th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m68494, Sapporo, Jul. 2024.
  2. Hui Yuan, Zehan Wang, Yuxuan Wei, and Liquan Shen, “[G-PCC][EE13.69 Test2] Report on truncated unary code-based prediction mode encoding method for Predictive Transform,” in Proc. 147th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m68495, Sapporo, Jul. 2024.
  3. Hui Yuan, Yuxuan Wei, Zehan Wang, and Liquan Shen, “[G-PCC][EE13.68] Report on Wiener filter,” in Proc. 147th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m68496, Sapporo, Jul. 2024.
  4. Hui Yuan, Zehan Wang, Yuxuan Wei, and Liquan Shen, “[G-PCC] [EE13.60-related] [New] Optimization of RAHT layer prediction mode structure,” in Proc. 147th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m68824, Sapporo, Jul. 2024.
  5. Hui Yuan, Yuxuan Wei, Zehan Wang, Jinrui Xing, Liquan Shen, and Ming Li, “[G-PCC][New] Morton code nearest neighbor search-based dynamic point cloud attribute Wiener filter,” in Proc. 146th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m67901, Rennes, Apr. 2024. (进入EE13.68)
  6. Hui Yuan, Zehan Wang, Yuxuan Wei, Liquan Shen, and Ming Li, “[G-PCC][New] Adaptive skip coding of RAHT coefficients for GeS-TM,” in Proc. 146th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m67902, Rennes, Apr. 2024. (进入EE13.60)
  7. Hui Yuan, Zehan Wang, Yuxuan Wei, Liquan Shen, and Ming Li, “[G-PCC][New] A cross-attribute prediction method for luma-reflectance,” in Proc. 146th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m67904, Rennes, Apr. 2024.
  8. Hui Yuan, Yuxuan Wei, Zehan Wang, Jinrui Xing, Liquan Shen, and Ming Li, “[G-PCC][New] Truncated unary code-based prediction mode encoding method for Predictive Transform,” in Proc. 146th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m67905, Rennes, Apr. 2024. (进入EE13.69)
  9. Hui Yuan, Xiaolong Mao, Ming Li, and Dan Zou, “[AI-3DGC] Harnessing multi-scale network for enhanced 3D point cloud attribute compression with geometry-assisted learning,” in Proc. 145th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m66178, Online, Jan. 2024.
  10. Hui Yuan, Zehan Wang, Yuxuan Wei, Tian Guo, Liquan Shen, and Ming Li, “[G-PCC][New] Skip coding scheme for RAHT transform coefficients,” in Proc. 145th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m66179, Online, Jan. 2024.
  11. Hui Yuan, Tian Guo, Ming Li, and Dan Zou, “[G-PCC] [New]Weighted-reflectance inter prediction for Lifting/Predicting transform,” in Proc. 145th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m66180, Online, Jan. 2024.
  12. Hui Yuan, Yuxuan Wei, Zehan Wang, Tian Guo, Liquan Shen, and Ming Li, “[G-PCC][New] RAHT rate-distortion optimization quantization parameter optimization scheme for point cloud reflectivity properties,” in Proc. 145th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m66181, Online, Jan. 2024.
  13. Hui Yuan, Chang Sun, Ming Li, and Dan Zou, “[AI-3DGC][New] Enhancing context models for point cloud geometry compression with context feature residuals,” in Proc. 145th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m66184, Online, Jan. 2024.
  14. Hui Yuan, Jinrui Xing, Tian Guo, Liquan Shen, and Ming Li, “[V-PCC] [CE2.9] summary report of CE2.9 on representing filter parameters for Wiener filter-based quality enhancement of geometry video,” in Proc. 143th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m63961, Geneva, Jul. 2023
  15. Hui Yuan, Jinrui Xing, Tian Guo, Liquan Shen, and Ming Li, “[V-PCC][New] Description and improvement of Wiener filter-based quality enhancement for geometry video,” in Proc. 142th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m62960, Antalya, Apr. 2023. (进入CE2.9)
  16. Hui Yuan, Jinrui Xing, Tian Guo, and Ming Li, “[V-PCC][New] A Wiener filtering-based point cloud denoising method for V-PCC,” in Proc. 141th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m61971, online, Jan. 2023.
  17. Hui Yuan, Tian Guo, Tingting Wang, and Ming Li, “[G-PCC][New]Wiener filter-based refinement level quality enhancement for predictive transform,” in Proc. 141th ISO/IEC JTC 1/SC 29/WG 7 MPEG meeting, document m60896, Mainz, Oct. 2022.
  18. H. Yuan, J. Xing, T. Wang, and M. Li, “[G-PCC] [New] Description and improvement of Wiener Filter-based quality enhancement method,” in Proc. 138th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document m59570, Apr. 2022, Online.
  19. H. Yuan, T. Guo, T. Wang, and M. Li, “[G-PCC] [Inter-EM] [EE13.55 Test 1] Experimental report about the number of points in pc_world_target,” in Proc. 138th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document m59571, Apr. 2022, Online.
  20. H. Yuan, X. Wang, T. Wang, and M. Li, “[G-PCC][software] Bug fix on mismatch of text and software on parameter set coding,” in Proc. 137th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document m58586, Jan. 2022, Online.
  21. H. Yuan, J. Xing, T. Wang, and M. Li, “[G-PCC][New] An improved Wiener filter-based quality enhancement method for G-PCC,” in Proc. 137th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document m58587, Jan. 2022, Online.
  22. H. Yuan, T. Guo, T. Wang, and M. Li, “[G-PCC] [Inter-EM] Experimental report about the number of points in pc_world_target,” in Proc. 137th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document m58588, Jan. 2022, Online. (进入EE13.55)
  23. H. Yuan, T. Wang, L. Shen, and M. Li, “[G-PCC] [Inter-EM] Graph filter-based fast global motion matching method for Inter-EM,” in Proc. 136th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document m57975, Oct. 2021, Online.
  24. H. Yuan, W. Wang, J. Xing, and M. Li, “[G-PCC][New] An deep learning based quality enhancement method for G-PCC codec,” in Proc. 135th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M57109, Jul. 2021, Online.
  25. H. Yuan, W. Wang, J. Xing, and M. Li, “[G-PCC][New] Wiener filter-based attribute quality enhancement for G-PCC,” in Proc. 135th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M57110, Jul. 2021, Online.
  26. H. Yuan, W. Wang, J. Xing, and M. Li, “[V-PCC] [New] Model-based rate control for video-based point cloud compression,” in Proc. 135th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M57111, Jul. 2021, Online.
  27. H. Yuan, L. Wang, J. Sun, X. Wang, and M. Li, “[G-PCC] [software] TM13v12.0 bug fix,” in Proc. 134th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M56649, Apr. 2021, Online (被标准接受)
  28. H. Yuan, X. Wang, G. Sun, L. Wang, and M. Li, “[G-PCC][EE13.49] Report on adaptive quantization for LoD attributes,” in Proc. 134th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M56650, Apr. 2021, Online (被标准接受)
  29. H. Yuan, L. Wang, J. Sun, X. Wang, and M. Li, “[G-PCC] [EE13.49] Report on: An intermittent ground truth residual preserving-based quantization for predictive transform,” in Proc. 134th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M56651, Apr. 2021, Online
  30. H. Yuan, X. Wang, G. Sun, L. Wang, and M. Li, “[G-PCC][New] A progressive quantization for LoD-based attribute predicting transform coding,” in Proc. 133th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55859, Jan. 2021, Online (被标准接受)
  31. H. Yuan, X. Wang, G. Sun, L. Wang, and M. Li, “[G-PCC][New] Adaptive quantization for LoD-based attribute predicting transform coding,” in Proc. 133th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55860, Jan. 2021, Online
  32. H. Yuan, X. Wang, G. Sun, L. Wang, and M. Li, “[G-PCC][EE13.42 related] Decouple parsing and attribute reconstruction in predicting transform through reconstructed geometry,” in Proc. 133th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55861, Jan. 2021, Online
  33. H. Yuan, L. Wang, J. Sun, X. Wang, and M. Li, “[G-PCC][New] An intermittent ground truth residual preserving-based quantization and reconstruction method for G-PCC predictive transform,” in Proc. 133th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55862, Jan. 2021, Online
  34. H. Yuan, L. Wang, J. Sun, X. Wang, and M. Li, “[G-PCC][New] kalman filter-based post-processing for 3D Point Cloud Compression System,” in Proc. 133th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55863, Jan. 2021, Online
  35. H. Yuan, L. Wang, X. Wang, and M. Li, “Kalman filter-based prediction improvement for 3D point cloud compression,” in Proc. 132th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55032, Oct. 2020, Online
  36. H. Yuan, L. Wang, X. Wang, and M. Li, “Kalman filter-based post-processing for 3D point cloud compression system,” in Proc. 132th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55033, Oct. 2020, Online
  37. H. Yuan, X. Wang, L. Wang, and M. Li, “A new rate distortion optimized prediction for the  predictive transform of LoD-based 3D point cloud coding,” in Proc. 132th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55034, Oct. 2020, Online (被标准接受)
  38. H. Yuan, X. Wang, L. Wang, and M. Li, “A progressive quantization for LoD-based 3D point cloud compression,” in Proc. 132th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55035, Oct. 2020, Online (被标准接受)
  39. H. Yuan, Q. Liu, and M. Li, “A quality assessment method for 3D point cloud compression,” in Proc. 132th Proc. 132th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG), document M55036, Oct. 2020, Online
  40. H. Yuan, L. Zhou, D. Jiang, and M. Li, “A hybrid rate distortion optimization for both fidelity and semantic segmentation,” in Proc. 132th Proc. 132th ISO/IEC JTC 1/SC 29/WG 7 meeting (MPEG) (MPEG), document M55037, Oct. 2020, Online
  41. H. Yuan, Y. Chang, H. Yang, X. Liu, et al. “Depth estimation improvement for depth discontinuity areas and temporal consistency preserving,” in Proc. 87th ISO/IEC JTC1/SC29/WG11 meeting(MPEG), document M16048, February 2009, Lausanne, Switzerland.
  42. H. Yuan, Y. Chang, M. Li, F. Yang, et al. “Distortion model of virtual views based on texture and depth compression,” in Proc. 91th ISO/IEC JTC1/SC29/WG11 meeting (MPEG), January 2010, Kyoto, Japan.
  43. H. Yuan, Y. Chang, M. Li, F. Yang, et al. “Model based optimal bit allocation between texture and depth,” in Proc. 91th ISO/IEC JTC1/SC29/WG11 meeting (MPEG), document M17190, January 2010, Kyoto, Japan.
  44. H. Yuan, J. Liu, J. Sun, and W. Liu, “Virtual view oriented distortion criterion for depth maps coding,” in Proc. 39th AVS meeting, document M2873, December 2011
  45. H. Yuan, J. Liu, J. Sun, and W. Liu, “Coding distortion elimination of virtual view synthesis for 3-D video system,” in Proc. 39th AVS meeting, document M2872, December 2011
  46. 元辉, 刘琚, 孙建德, 等. 应用于深度图编码的面向虚拟视图的拉格朗日因子及失真度准则, in Proc. 45th AVS meeting, document M3125, Jun. 2013. 江苏太仓
  47. H. Yuan, H. Yang, and J. Konieczny, “An inter-view bit allocation method for MV-HEVC,” in Proc. Joint Collaborative Team on 3D Video Coding Extensions of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, document JCT-3V K0023, Feb. 2015
  48. H. Yuan, H. Yang, J. Konieczny, “A virtual view quality estimation method,” in Proc. Joint Collaborative Team on 3D Video Coding Extensions of ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11, document JCT-3V K0024, Feb. 2015
  49. X. Liu, Y. Chang, H. Yuan, et al., “A depth estimation method for edge precision guarantee of synthesized view,” in Proc. 91th ISO/IEC JTC1/SC29/WG11 meeting (MPEG), document M17316, January 2010, Kyoto, Japan.

 

Awards, Honors

  • Natural Science Foundation of China for Outstanding Youth (2022)
  • Natural Science Foundation of Shandong Province for Distinguished Young Scholars (2016)
  • Taishan Scholar Young Expert of Shandong Province (2020)
  • Marie Curie Individual Fellowship (2019)
  • Hong Kong Scholar (2012)
  • China Industry-Academic-Research Cooperation Innovation Award (personal award, 2023)
  • Second Prize in Natural Science of Chinese Society of Image and Graphics (2022)
  • First Prize of Science and Technology Award of Shandong Higher Education Institutions (2016)
  • First Prize of Shandong Province Artificial Intelligence Science and Technology Award (2020)
  • Outstanding Area Chair for IEEE ICME2020
  • Outstanding Service Award of Chinese Society of Image and Graphics (2023)
  • Excellent science and technology professionals of Ji’nan City (2023)

Selected Academic Services

  1. Associate Editor, IEEE Transactions on Consumer Electronics, Jun. 2024.
  2. Associate Editor, IET Image Processing, May 2023.
  3. Guest Editor, Frontiers in Neuroscience/ Frontiers in Computational Neuroscience / Frontiers in Psychology, Special issue on Artificial Cognitive and Reasoning Intelligence: Theory, Methodology, and Applications, Jun. 2023.
  4. Guest Editor, Applied Sciences, special issue on Computer Vision and Pattern Recognition Based on Deep Learning, Jan. 2022.
  5. Area Chair, IEEE International Conference on Multimedia and Expo (ICME) 2023, Jul. 10-14, 2023, Brisbane, Australia
  6. Area Chair, IEEE International Conference on Multimedia and Expo (ICME) 2022, Jul. 18-22, 2022, Taipei, China
  7. Area Chair, IEEE International Conference on Multimedia and Expo (ICME) 2021, Jul. 5-9, 2021, Shenzhen, China (Virtual)
  8. Area Chair, International Conference on Visual Communications and Image Processing (VCIP) 2020, Dec.1-4, 2020, Virtual
  9. Area Chair (Outstanding Area Chair Award), IEEE International Conference on Multimedia and Expo (ICME) 2020, Jul. 6-10, 2020, London, UK
  10. Senior Area Chair, The 6th Chinese Conference on Pattern Recognition and Computer Vision, Oct. 13-15, 2023, Xiamen, China
  11. Program Chair, International Conference on Computer Graphics and Image Processing (CGIP 2024), Jan. 12-15, 2024, Kyoto, Japan.
  12. Program Chair, International Conference on Computer Graphics and Image Processing (CGIP 2023), Jan. 13-16, 2023, Tokyo, Japan.
  13. Publication Chair, fourth EAI International Conference on IoT as a Service (IoTaaS 2018), Nov. 17-18, 2018, Xi’an, China.
  14. Workshop Organizer, Perception-inspired Communication and Processing for lmmersive and interactive Multimedia, IEEE International Conference on Multimedia and Expo (ICME) 2023, Jul. 10-14, 2023, Brisbane, Australia
  15. Workshop Organizer: Advances in Point Cloud Compression, Processing and Analysis (APCCPA), ACM Multimedia 2022 (ACMMM 2022), Oct. 10-14, 2022, Lisbon Portugal.
  16. Workshop Organizer: 3D Point Cloud Processing, Analysis, and Communication (PC-PAC), The 11th International Conference on Image and Graphics (ICIG2021), Dec. 26-28, 2021, Haikou China
  17. Workshop Organizer for “Ubiquitous Services Transmission for Internet of Things,” fifth EAI International Conference on IoT as a Service (IoTaaS 2019), Nov. 16-17, 2019, Xi’an, China.
  18. Workshop Organizer: 3D Point Cloud Processing, Analysis, Compression, and Communication (PC-PACC), IEEE International Conference on Multimedia and Expo (ICME) 2020, Jul. 6-10, 2020, London, UK
  19. Special Session Organizer: Recent Advance in Depth-Related Processing and Applications, IEEE International Conference on Multimedia and Expo (ICME) 2021, Jul. 5-9, 2021, Shenzhen, China
  20. Session Chair (No. O12 and P10), IEEE International Conference on Multimedia and Expo (ICME) 2021, Jul. 5-9, 2021, Shenzhen, China (Virtual)
  21. TPC Track Chair of “Multimedia Communication and Smart Networking,” 12th EAI International Conference on Communications and Networking in China (ChinaCom2017), Oct. 10-12, 2017, Xi'an, China