1. Tzu-Lun Huang*, Jia-Kang Wang, Pei-Yao Chang, Yung-Ray Hsu, Cheng-Hung Lin, Kung-Hung Lin, and Rong-Kung Tsai*, “Neuromyelitis optica spectrum disorder: from basic research to clinical perspectives,” International Journal of Molecular Sciences, vol. 23 no. 14, p. 7908, July 2022.
  2. Cheng-Hung Lin*, Chih-Heng Cheng, Yue-Fang Kuo, and Cheng-Kai Lu, “Hybrid BP/Fast-SSCF polar decoder for 5G beyond consumer communications,” IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 3564 - 3574, May 2025.
  3. Cheng-Kai Lu*, Jun-Yu Shen, Cheng-Hung Lin, Chung-Yueh Lien, and Ding Su Yen, “Efficient embedded system for small object detection: a case study on floating debris in environmental monitoring," IEEE Embedded Systems Letters, vol. 17, no. 4, pp. 264–267, August 2025.
  4. Cheng-Kai Lu*, Win Sheng Liew, Tong Boon Tang, and Cheng-Hung Lin, “Implementation of a convolutional neural network into an embedded device for polyps detection,” IEEE Embedded Systems Letters, vol. 16, no. 8, pp. 5–8, March 2024.
  5. Yao-Wen Yu, Cheng-Hung Lin*, Cheng-Kai Lu, Jia-Kang Wang, and Tzu-Lun Huang, “Automated age-related macular degeneration detector on optical coherence tomography images using slice-sum local binary patterns and support vector machine,” Sensors, vol. 23, no. 5, p. 7315, Aug. 2023.
  6. Cheng-Hung Lin*, Hsin-Hao Su, Tang-Syun Chen, and Cheng-Kai Lu, “Reconfigurable low-density parity-check (LDPC) decoder for multi-standard 60 GHz wireless local area networks,” Electronics, vol. 11, no. 5, p. 733, Feb. 2022.
  7. Cheng-Hung Lin*, Jin-Kun Shen, and Cheng-Kai Lu, “Reconfigurable turbo and low-density parity-check (LDPC) decoding accelerators for powerline communications,” Journal of Circuits, Systems and Computers, vol. 31, no. 18, p. 2250309, December 2022.
  8. Cheng-Hung Lin*, Wei-Ming Liao, Jing-Wen Liang, Po-Han Chen, Cheng-En Ko, Chih-Hao Yang, and Cheng-Kai Lu*, “Denoising performance evaluation of automated age-related macular degeneration detection on optical coherence tomography images,” IEEE Sensors Journal, vol. 21, no. 1, pp. 790–801, Jan. 2021.
  9. Win Sheng Liew, Tong Boon Tang, Cheng-Hung Lin, and Cheng-Kai Lu*, “Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches,” Computer Methods and Programs in Biomedicine, vol. 206, p. 106114, July 2021.
  10. Cheng-Hung Lin*, Chen-Xuan Wang, and Cheng-Kai Lu, “LDPC decoder design using compensation scheme of group comparison for 5G communication systems,” Electronics, vol. 10, no. 16, p. 2010, Aug. 2021.
  11. Chin Yii Eu, Tong Boon Tang, Cheng-Hung Lin, Lok Hua Lee and Cheng-Kai Lu*, “Automatic polyp segmentation in colonoscopy images using a modified deep convolutional encoder–decoder architecture,” Sensors, vol. 21, no. 16, p. 5630, Aug. 2021.
  12. Cheng-Hung Lin*, Yuan-Syun Wu, and Chen-Pei Song, “Energy-efficient LDPC codec design using cost-effective early termination scheme,” IET Computers and Digital Techniques, vol. 13, no. 2, pp. 118–125, March 2019.
  13. Cheng-Hung Lin* and Ching-Wen Hsieh, “Low-routing-complexity convolutional/turbo decoder design for iterative detection and decoding receivers,” IEEE Transactions on Circuits and Systems Part I: Regular Paper, vol. 66, no. 11, pp. 4476–4489, Nov. 2019.
  14. Cheng-Hung Lin*, Shu-Wei Guo, and Li-An Ou, “Analysis and power evaluation of window-stopped parallel turbo decoding for LTE rate matching,” IET Communications, vol. 12 no. 9, pp. 1148–1154, June 2018.
  15. Cheng-Hung Lin*, Tzu-Hsuan Huang, Shu-Yen Lin, and Yu-Hsuan Lee, “Design and implementation of operation-reduced LDPC decoder based on a check node stopping scheme,” Journal of Circuits, Systems and Computers, vol. 26, no. 2, pp. 1750028-1-1750028-19, Feb. 2017.
  16. Yu-Hsuan Lee*, Cheng-Hung Lin, Chao-Chyun Chen, Shu-Yen Lin, and Bo-Siang Huang, “The video spatial error concealment algorithm using separately-directional interpolation technique,” Journal of Signal Processing Systems for Signal, Image, and Video Technology, vol. 88, no. 1, pp. 13–27, July 2017.
  17. Cheng-Hung Lin* and Tsung-Ju Hsieh, “Unified encoder embedded trellis router designs for decoding convolutional and turbo codes,” IEICE Electronics Express, vol. 14, no. 5, pp. 20170028-1-20170028-6, Feb. 2017.
  18. Shu-Yen Lin*, Ho-Yun Su, and Cheng-Hung Lin, “Thermal-controlled design flow for the three-dimensional dual-mode forward error correction architecture,” Journal of the Chinese Institute of Engineers, vol. 40, no. 2, pp 149-160, Mar. 2017
  19. Cheng-Hung Lin* and Chih-Shiang Yu, “Multi-mode radix-4 SISO kernel design for turbo/LDPC decoding,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 23, no. 10, pp. 2256-2267, Oct. 2015.
  20. Cheng-Hung Lin* and Chih-Chia Wei, “Efficient window-based stopping technique for double-binary turbo decoding,” IEEE Communications Letters, vol. 17, no. 1, pp. 169-172, Jan. 2013.
  21. Cheng-Hung Lin*, Tzu-Hsuan Huang, Chao-Chyun Chen, and Shu-Yen Lin, “Efficient layer stopping technique for layered LDPC decoding,” Electronics Letters, vol. 49, no. 16, pp. 994-996, Aug. 2013.
  22. Cheng-Hung Lin, Chun-Yu Chen, En-Jui Chang, and An-Yeu Wu*, “Reconfigurable parallel turbo decoder design for multiple high-mobility 4G systems,” Journal of Signal Processing Systems for Signal, Image, and Video Technology, vol. 73, no. 2, pp. 109-122, Nov. 2013.
  23. Cheng-Hung Lin, Chun-Yu Chen, and An-Yeu Wu*, “Area-efficient scalable MAP processor design for high-throughput multistandard convolutional turbo decoding,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 19, no. 2, pp. 305-318, Feb. 2011.
  24. Cheng-Hung Lin, Chun-Yu Chen, An-Yeu Wu*, and Tsung-Han Tsai, “Low-power memory-reduced traceback MAP decoding for double-binary convolutional turbo decoder,” IEEE Transactions on Circuits and Systems Part I: Regular Paper, vol. 56, no. 5, pp. 1005-1016, May 2009.
  25. Fan-Min Li , Cheng-Hung Lin, and An-Yeu Wu*, “Unified convolutional/turbo decoder design using tile-based timing analysis of VA/MAP kernel,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 16, no. 10, pp. 1358−1371, Oct. 2008.
  26. Xin-Yu Shih, Cheng-Zhou Zhan, Cheng-Hung Lin, and An-Yeu Wu*, “An 8.29mm2 52mW multi-mode LDPC decoder design for mobile WiMAX system in 0.13um CMOS process,” IEEE Journal of Solid-State Circuits, vol. 43, no. 3, pp. 672−683, Mar. 2008.
  27. Chun-Yuan Chu and Cheng-Hung Lin*, “High-performance reconfigurable FEC architectures for WiMAX,” ITRI SoC Technical Journal, vol. 7, pp. 58−65, Nov. 2007.

  1. Wen-Yi Tsai, Cheng-Hung (Dixson) Lin*, “Stochastic computing-based hybrid convolutional neural networks for eye disease detection on OCT volumes,” in Proc. IEEE Int. Conf. Consumer Technology – Pacific (ICCT-Pacific), Yamaguchi, Japan, pp. 61-64, 28-30 March 2026.
  2. Chih-Ling Tseng, Pin-Han Wen, Cheng-Kai Lu, Jia-Kang Wang, and Tzu-Lun Huang, Cheng-Hung (Dixson) Lin*, “Multi-class OCT imbalanced classification using class weight balancing,” in Proc. IEEE Int. Conf. Consumer Electronics (ICCE), Dubai, UAE, pp. 1-5, 3-5 Feb. 2026.
  3. Yan-Ci Chen, Chia-I Su, Yi-Hong Yeh, Yi-Rui Chiu, Cheng-Hung (Dixson) Lin*, Cheng-Kai Lu, Tzu-Lun Huang, and Jia-Kang Wang, “Resource-constrained OCT classification via adaptive distillation and optimized training,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), Osaka, Japan, pp. 1-2, 23-26 September 2025.
  4. Cheng-Hung (Dixson) Lin*, Chih-Ling Tseng, Jia-Kang Wang, and Tzu-Lun Huang, “Artificial intelligence techniques for optical coherence tomography images in vitreomacular interface abnormalities,” in Proc. Int. Automatic Control Conf. (CACS), Hsinchu, Taiwan, p. 1, 5-8 November 2025.
  5. Cheng-Yu Tai, Ching-Wen Chen, Chi-Chin Wu, Bo-Chen Chiu, Cheng-Hung (Dixson) Lin*, Cheng-Kai Lu, Jia-Kang Wang, and Tzu-Lun Huang, “Improvement strategies for few-shot learning in OCT image classification of rare retinal diseases,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), Osaka, Japan, pp. 1-2, 23-26 September 2025.