1.Cheng-Hung Lin, Chih-Tsun Huang, Chang-Ping Jiang, and Shih-Chieh Chang, "Optimization of Pattern Matching Circuits for Regular Expression on FPGA," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol.15, No. 12, pp. 1303 – 1310, 2007. (SCI) (Google citation:150)
2. Cheng-Hung Lin and Shih-Chieh Chang, "Efficient Pattern Matching Algorithm for Memory Architecture," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 19, No.1, pp.33 - 41, 2011. (SCI)(Google citation:30)
3. Cheng-Hung Lin, Chen-Hsiung Liu, Lung-Sheng Chien, Shih-Chieh Chang, "Accelerating Pattern Matching Using a Novel Parallel Algorithm on GPUs," IEEE Transactions on Computers, Vol. 62, No. 10, pp. 1906-1916, 2013 (SCI)(Google citation:106)
4. Cheng-Hung Lin, Jin-Cheng Li, Chen-Hsiung Liu, and Shih-Chieh Chang, "Perfect Hashing Based Parallel Algorithms for Multiple String Matching on Graphic Processing Units, " IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume: 28, No. 9, Sept. 1, pp.2639 - 2650, 2017.(SCI)(Google citation:16)
5. Cheng-Hung Lin, Sze-Chen Cho, and Shih-Chieh Chang, "An Adaptive Mechanism for Designing Efficient Snoop Filters," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 26, Issue:7, pp.1233-1240, July, 2018. (SCI)
6. Cheng-Hung Lin, Wei-Yen Wang, Shen-Ho Liu, Chen-Chien Hsu, and Chiang-Heng Chien, "Heterogeneous Implementation of a Novel Indirect Visual Odometry System", IEEE Access, Volume 7, pp.34631 - 34644, March, 2019. (SCI)(Google citation:4)
7. Shao-Kang Huang, Chen-Chien Hsu *, Wei-Yen Wang, Cheng-Hung Lin, "Iterative Pose Refinement for Object Pose Estimation Based on RGBD Data, " Sensors 2020, 20, 4114.
8. Cheng-Hung Lin, Cheng-Shian Lin, Po-Yung Chou, and Chen-Chien Hsu, "An Efficient Data Augmentation Network for Out-of-Distribution Image Detection, " in IEEE Access, Volume 9, pp. 35313-35323, Feb, 2021. (SCI) (Code: https://github.com/majic0626/Data-Augmentation-Network)
9. Kai-Yu Chen, Li-Wei Chou, Hui-Min Lee, Shuenn-Tsong Young, Cheng-Hung Lin, Yi-Shu Zhou, Shih-Tsang Tang, Ying-Hui La, “Human Motion Tracking Using 3D Image Features with a Long Short-Term Memory Mechanism Model—An Example of Forward Reaching”, Sensors 2022, 22(1), 292.
10. Pin-Jui Hwang, Chen-Chien Hsu, Po-Yung Chou, Wei-Yen Wang and Cheng-Hung Lin, "Vision-Based Learning from Demonstration System for Robot Arms, " Sensors 2022, 22(7), 2678.
11. Yu-Min Lin, Ji-Yan Han, Wei-Zhong Zheng, Yi-Chieh Lin, Cheng-Hung Lin, and Ying-Hui Lai, "Study of optical-based speech acquisition system using vibration signals from speakers' medical masks," JASA Express Letters 2, 055202 (2022); https://doi.org/10.1121/10.0010491
12. Yu-Min Lin, Ji-Yan Han, Cheng-Hung Lin, and Ying-Hui Lai, "Optical Microphone-based Speech Reconstruction System with Deep Learning for Individuals with Hearing Loss," IEEE Transactions on Biomedical Engineering ( Early Access ), pp.1-12, June, 2023
13. Cheng-Hung Lin, Hom-Lay Wang, Li-Wen Yu, Po-Yung Chou, Hao-Chieh Chang, Chin-Hao Chang, Po-Chun Chang, "Deep learning for the identification of ridge deficiency around dental implants," Clinical implant dentistry and related research, 27 December 2023 (https://doi.org/10.1111/cid.13301)
1. Chin-Ming Hong, Cheng-Hung Lin, and Ted Tao, "Grey-CMAC Model," in Proc. of the IASTED International Conference High Technology in the Power Industry, Orlando, Florida USA, pp. 39-44, 1997. (Google citation:9)
2. Cheng-Hung Lin, Yung-Chang Huang, Shih-Chieh Chang, and Wen-Ben Jone, "Design and Design Automation of Rectification Logic for Engineering Change," in Proc. of IEEE/ACM Asia South Pacific Design Automation (ASPDAC), pp. 1006-1009, 2005.(Google citation:14)
3. Cheng-Hung Lin, Chih-Tsun Huang, Chang-Ping Jiang, and Shih-Chieh Chang, "Optimization of Regular Expression Pattern Matching Circuits on FPGA," in Proc. of IEEE/ACM Design, Automation and Test in Europe (DATE), pp. 12-17, 2006.(Google citation:87)
4. Yu-Min Kuo, Cheng-Hung Lin, Chun-Yao Wang, Shih-Chieh Chang, and Pei-Hsin Ho, "Intelligent Random Vector Generator Based on Probability Analysis of Circuit Structure," in Proc. of the International Symposium on Quality Electronic Design (ISQED), San Jose, CA, USA, March 26-28, 2007. (Google citation:8)
5. Cheng-Hung Lin, Yu-Tang Tai, and Shih-Chieh Chang, "Optimization of Pattern Matching Algorithm for Memory Based Architecture", in Proc. of ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), Orlando, Florida, USA, December 3-4, pp. 11-16, 2007. (Google citation:28)
6. Cheng-Hung Lin, and Hsien-Sheng Hsiao, "Hierarchical State Machine Architecture for Regular Expression Pattern Matching", in Proc. of ACM Great Lakes Symposium on VLSI (GLSVLSI), Boston, Massachusetts, USA, May 10-12, pp.133-136, 2009.(Google citation:8)
7. Cheng-Hung Lin, "Hybrid Memory Architecture for Regular Expression Matching" in Proc. of IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Cancun, Mexico, August 2-5, pp.1159-1162, 2009.(Google citation:1)
8. Cheng-Hung Lin, Chun-Yu Lin, and Shih-Chieh Chang, "Design and Verification for Dual Issue Digital Signal Processor", in Proc. of International SOC Design Conference (ISOCC), Busan, Korea, November 22-24, pp. 536-539, 2009.
9. Cheng-Hung Lin, Sheng-Yu Tsai, Chen-Hsiung Liu, Shih-Chieh Chang, and Jyuo-Min Shyu, "Accelerating String Matching Using Multi-threaded Algorithm on GPU," in Proc. of IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), Miami, Florida, USA, December 6-10, pp.1-5, 2010. (Google citation:98)
10. Cheng-Hung Lin, Chen-Hsiung Liu, and Shih-Chieh Chang, "Accelerating Regular Expression Matching Using Hierarchical Parallel Machines on GPU", in Proc. of IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), Houston, Texas, USA, December 5-9, pp.1706-1710, 2011. (Google citation:29)
11. Cheng-Hung Lin, Chen-Hsiung Liu, Lung-Sheng Chien, Shih-Chieh Chang, and Wing-Kai Hon, "PFAC Library: GPU-based string matching algorithm", GPU Technology Conference (GTC), San Jose, California, USA, May 14-17, 2012. (Google citation:10)
12. Cheng-Hung Lin, Chen-Hsiung Liu, Shih-Chieh Chang, and Wing-Kai Hon, "Memory-Efficient Pattern Matching Architectures Using Perfect Hashing on Graphic Processing Units," 31st Annual IEEE International Conference on Computer Communications (INFOCOM), Orlando, Florida, USA, March 25-30, 2012. (Acceptance rate: 18%, 278/1547) (Google citation:25)
13. Cheng-Hung Lin and Jyh-Charn Liu, "M-DFA (multithreaded DFA): An Algorithm for Reduction of State Transitions and Acceleration of REGEXP Matching" in Proc. of ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), Austin, Texas, USA, Oct. 29-30, 2012.(Google citation:1)
14. Cheng-Hung Lin, Guan-Hong Wang, and Chun-Cheng Huang, "Hierarchical Parallelism of Bit-Parallel Algorithm for Approximate String Matching on GPUs", in Proc. of IEEE Symposium on Computer Applications and Communications (SCAC 2014), Weihai, Shandong, China, July 26-27, 2014. (Best paper finalist) (Google citation:3)
15. Cheng-Hung Lin and Chun-Cheng Huang, "High-Performance Parallel Location-Aware Algorithms for Approximate String Matching on GPUs," in Proc. of the 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS), Melbourne, Australia, December 14-17, 2015. (Google citation:1)
16. Cheng-Hung Lin and Wen-Jui Chou, "Acceleration of the Transformation from Elliptic Omnidirectional Images to Panoramic Images Using Graphic Processing Units", in Proc. of IEEE International Conference on Consumer Electronics - TAIWAN (IEEE 2016 ICCE-TW), NANTOU COUNTY, TAIWAN, May 27-29, 2016. (Google citation:1)
17. Wei-Chen Liu and Cheng-Hung Lin, "A Hierarchical License Plate Recognition System Using Supervised K-means and Support Vector Machine", in Proc. of IEEE International Conference on Applied System Innovation (IEEE ICASI 2017), Sapporo, Japan, May 13-17, 2017. (First Prize Paper Award)(Google citation:12)
18. Chung-Yu Liao and Cheng-Hung Lin, "A Novel Parallel Dual-Character String Matching Algorithm on Graphical Processing Units", in Proc. 17th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP-2017), Helsinki, Finland, August 21-23, 2017. (Acceptance rate: 29.03%)(Google citation:2)
19. Cheng-Hung Lin and Cheng-Hung Hsieh, "A Novel Hierarchical Parallelism for Accelerating NIDS Using GPUs, " in Proc. IEEE International Conference on Applied System Innovation (IEEE ICASI 2018), Chiba, Tokyo, Japan, April 13-17, 2018. (Best Conference Paper Award)(Google citation:7)
20. Cheng-Hung Lin, Yong-Sin Lin, and Wei-Chen Liu, "An Efficient License Plate Recognition System Using Convolution Neural Networks," in Proc. IEEE International Conference on Applied System Innovation (IEEE ICASI 2018), Chiba, Tokyo, Japan, April 13-17, 2018.(Google citation:33)
21. Cheng-Hung Lin, Yang Chung, Bo-Yung Chou, Hsin-Yi Chen, Chen-Yang Tsai, "A Novel Campus Navigation APP with Augmented Reality and Deep Learning," in Proc. IEEE International Conference on Applied System Innovation (IEEE ICASI 2018), Chiba, Tokyo, Japan, April 13-17, 2018.(Google citation:11)
22. Cheng-Hung Lin and Chen-Hao Wu, "A Lightweight, High-Performance Multi-Angle License Plate Recognition Model," in Proc. IEEE International Conference on Advanced Mechatronic Systems (IEEE ICAMechS 2019), Kusatsu, Shiga, Japan, August 26 - 28, 2019. (Google citation:2)
23. Cheng-Hung Lin and Ying Li, "A License Plate Recognition System for Severe Tilt Angles Using Mask R-CNN," in Proc. IEEE International Conference on Advanced Mechatronic Systems (IEEE ICAMechS 2019), Kusatsu, Shiga, Japan, August 26 - 28, 2019.(Google citation:10)
24. Cheng-Hung Lin and Yi-Sin Sie, "Two-Stage License Plate Recognition System using Deep learning," 2019 8th International Conference on Innovation, Communication and Engineering (ICICE), Zhengzhou, Henan Province, China, 2019, pp. 132-135. (Google citation:1)
25. Cheng-Hung Lin and Kuan-Yi Kuo, "A Cost-Effective Automatic Dial Meter Reader Using a Lightweight Convolutional Neural Network", 13th International Conference on Human System Interaction (HSI 2020), Yokyo, Japan, June 6-8, 2020.
26. Cheng-Hung Lin, Po-Yung Chou, Cheng-Hsien Lin, Min-Yen Tsai, "SlowFast-GCN: A Novel Skeleton-Based Action Recognition Framework", the International Conference on Pervasive Artificial Intelligence (ICPAI 2020), Taipei, Taiwan, Dec, 3-5, 2020. (Best paper runner-up award)
27. Cheng-Hung Lin, Mr. Min-Yen Tsai and Mr. Po-Yung Chou, "A Lightweight Fine-Grained Action Recognition Network for Basketball Foul Detection", the 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2021), June 16-18, 2021.
28. Pei Lun Yu, Po-Yung Chou, Cheng Hung Lin and Wen-Chung Kao, "An Efficient Anomalous Action Recognition Model Based on Out-of-Distribution Detection", 2021 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA), Nov. 30-Dec. 1, Taipei, Taiwan, 2021.
29. Po-Yung Chou, Cheng-Hung Lin, Wen-Chung Kao, "A Novel Plug-in Module for Fine-Grained Visual Classification," arXiv:2202.03822 (https://arxiv.org/abs/2202.03822), Rank #3 in CUB-200-2011 and NABirds (https://paperswithcode.com/paper/a-novel-plug-in-module-for-fine-grained)
30. Po-Yung Chou, Cheng-Hung Lin, Wen-Chung Kao, Yi-Fang Lee, and Chen-Chien Hsu, "A Temporal Scores Network for Basketball Fouls Classification," 2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin), Sep.2-Sep.6, Berlin, Germany, 2022.
31. Po-Yung Chou, Yu-Yung Kao, Cheng-Hung Lin, "Fine-grained Visual Classification with High-temperature Refinement and Background Suppression", https://arxiv.org/abs/2303.06442, Rank #1 in CUB-200-2011 and NABirds(https://paperswithcode.com/sota/fine-grained-image-classification-on-cub-200)
32. Ding-Jie Huang, Po-Yung Chou, Bo-Zheng Xie, Cheng-Hung Lin, "Multi-Target Multi-Camera Pedestrian Tracking System for Non-Overlapping Cameras," 2023 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2023), July 17-19, 2023.
33. Po-Ying Huang, Po-Yung Chou, Cheng-Hung Lin, "A Transformer-based Object Relationship Finder for Object Status Analysis," 2023 IEEE International Conference on Consumer Electronics (ICCE-Taiwan), July 17-19, 2023.
34. YuChun Lo, Po-Yung Chou, Bo-Zheng Xie, and Cheng-Hung Lin, "TinySeeker: A Network for Seeking Tiny and Fast Moving Object Based on Asymmetric U-Net and Calibrator," 2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), September 2-5, 2023.
35. Po-Yung Chou, Hung-Chih Huang, and Cheng-Hung Lin, "A Novel Graph Augmentation for Semi-supervised Learning on Skeleton-based Action Recognition," 2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), September 2-5, 2023.
36. Po-Yung Chou, Yu-Chun Lo, Bo-Zheng Xie, Cheng-Hung Lin, Yu-Yung Kao, "An All Deep System for Badminton Game Analysis",
https://doi.org/10.48550/arXiv.2308.12645
37. Yen-Ting Lai, Po-Yung Chou, and Cheng-Hung Lin, "A Real-Time Point Cloud Action Recognition System with Automated Point Cloud Preprocessing," 2024 IEEE International Conference on Consumer Electronics (ICCE) , Las Vegas, USA, January 5-8, 2024.
38. You-Lin Tsai, Po-Yung Chou, and Cheng-Hung Lin, "Improve Fine-Grained Visual Classification Accuracy by Controllable Location Knowledge Distillation," 2024 IEEE International Conference on Consumer Electronics (ICCE) , Las Vegas, USA, January 5-8, 2024.
39. Shang-De Chen, Po-Yung Chou, Yu-Chun Lo, and Cheng-Hung Lin, "ADEPTS: An Advanced Deep Ensemble and Progressively Training Strategy for High-Speed Shuttlecock Localization," 2024 IEEE International Conference on Consumer Electronics (ICCE) , Las Vegas, USA, January 5-8, 2024.
40. Yu-Yung Kao, Po-Yung Chou, and Cheng-Hung Lin, "A Cost-effective Training Scheme for Person Re-Identification in Soccer Matches," 11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024.
41. Hsuan-Yi Wang, Po-Yung Chou, Yu-Yung Kao, and Cheng-Hung Lin, “GloFANet: Global Feature Augmented Networks for Data-Efficient Soccer Field Keypoint Detection,” 2025 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA, January 10-14, 2025.
PFAC library---a GPU-based exact string pattern matching library (http://code.google.com/p/pfac/)(https://github.com/pfac-lib/pfac)
2. Perfect hashing based PFAC on GPUs(https://github.com/brucelinco/Perfect-hashing-based-PFAC-on-GPUs )
3. An Efficient Data Augmentation Network for Out-of-Distribution Image Detection (https://github.com/majic0626/Data-Augmentation-Network)
4. A Novel Plug-in Module for Fine-grained Visual Classification (https://github.com/chou141253/FGVC-PIM), Rank #1 in CUB-200-2011 and NABirds (https://paperswithcode.com/paper/a-novel-plug-in-module-for-fine-grained)
專利
籃球運動偵測分析方法，張家豪、蔡旻諺、林政宏、林欣穎，專利期間:2023/2/1~2041/10/20，發明第I791307號