Book Chapter:

  • Wan-Chi Siu, Xue-Fei Yang, Li-Wen Wang, Jun-Jie Huang and Zhi-Song Liu, “Introduction to Random Tree and Random Forests for fast signal processing and object classification,” Learning Approaches in Signal Processing, W.-C. Siu, L.-P. Chau, L. Wang and T. Tan, eds., pp. 3-52: Pan Stanford Series on Digital Signal Processing, 2018. [google book]

Conference Paper:

  • Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, and Wan-Chi Siu. ” Image Super-Resolution via Attention based Back Projection Network.” Proceedings, the IEEE Conference on Computer Vision Workshops (ICCVW’19), pp. 0-0. 2019, Seoul, Korea. [pdf] [code]
  • Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, and Wan-Chi Siu. “Hierarchical Back Projection Network for Image Super-Resolution.” Proceedings, the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW’19), pp. 0-0. 2019, California, United States. [pdf] [code]
  • Li-Wen Wang, Xue-Fei Yang and Wan-Chi Siu, “Learning Approach with Random Forests on Vehicle Detection,” Proceedings2018 IEEE 23rd International Conference on Digital Signal Processing (DSP’18), pp. 1-5, 2018, Shanghai, China. [IEEE pdf] [presentation] [revised presentation]
  • Jianrui Cai, Shuhang Gu, Radu Timofte, et al. (Li-Wen Wang), “NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results”, Proceedings, CVPR Workshops (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops), pp. 0-0, 16-20 June 2019, Long Beach, CA, USA [pdf]
  • Shuhang Gu, Martin Danelljan Radu Timofte, et al. (Li-Wen Wang) , “AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results”, Proceedings, ICCV Workshops (IEEE/CVF Conference on Computer Vision Workshops), pp. 0-0, 27 Oct. – 2 Nov. 2019, Seoul, Korean