Total: 47 SCI papers (Q1: 27, Q2: 12, Q3: 6, Q4: 2); First Author/Corresponding Author: (Q1: 10, Q2: 6, Q3: 6, Q4: 0); IEEE journals (Q1: 15, Q2: 6, Q3: 2);

Past 5 years: 36 SCI papers  (Q1: 19, Q2: 11, Q3: 4, Q4: 2); First Author/Corresponding Author: (Q1: 7, Q2: 6, Q3: 4, Q4: 0); IEEE journals (Q1: 12, Q2: 6, Q3: 2);

Past 3 years: 21 SCI papers  (Q1: 10, Q2: 6, Q3: 3, Q4: 2); First Author/Corresponding Author: (Q1: 5, Q2: 3, Q3: 3, Q4: 0); IEEE journals (Q1: 7, Q2: 3, Q3: 2);

Past 1 year: 11 SCI papers  (Q1: 5, Q2: 3, Q3: 2, Q4: 1); First Author/Corresponding Author: (Q1: 3, Q2: 2, Q3: 2, Q4: 0); IEEE journals (Q1: 5, Q2: 2, Q3: 1);

[1] Cheng-Kai Lu*, Chien-Wei Lu and Guan Bo Lin, “Lightweight Multimodal Emotion Recognition for Companion Robots: A Deep Learning Framework Integrating Facial and Speech Features,” IEEE Transactions on  Affective Computing, Oct 2025. (Accepted) (SCI)(2023 JCR: 9.6, 1/32=3.12% (Q1), Computer Science, Cybernetics)  

[2] Su Yen Ding, Tong Boon Tang*, and Cheng-Kai Lu*, “Lightweight Spatio-Temporal Convolutional Neural Network for Audio-Visual Emotion Recognition,” IEEE Transactions on Affective Computing, May 2025.  (Early Access) (SCI)(2023 JCR: 9.6, 1/32=3.12% (Q1), Computer Science, Cybernetics) 

[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, 17(4), pp. 264 - 267, August 2025. (SCI) (2023 JCR: 1.7, 73/132=55.30% (Q3), Computer Science, Software Engineering) 

[4]  Jules Rostand, Chen-Chien James Hsu and Cheng-Kai Lu*, “Adaptive Locality Guidance: Using Locality Guidance to Initialize the Learning of Vision Transformers on Tiny Datasets,” IEEE Transactions on Neural Networks and Learning Systems, 36(8), 14313-14327, August 2025. (SCI)(2023 JCR: 10.2, 3/59=5.08% (Q1), Computer Science, Hardware & Architecture)

[5] 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, 71(2), pp. 3564 - 3574, May 2025. (SCI) (2023 JCR: 4.3, 84/353=23.79% (Q1) , Engineering, Electrical & Electronic) 

[6] Chung‑Yueh Lien, Hao‑Jan Wang, Cheng‑Kai Lu, Tzu‑Hsuan Hsu, Woei‑Chyn Chu, Chien‑Chih Lai*, “Deep Learning with an Attention Mechanism for Enhancing Automated Modified Total Sharp/van der Heijde Scoring of Hand X-ray Images in Rheumatoid Arthritis,” Journal of Medical and Biological Engineering, 45, 298-306,  April 2025. (SCI) (2023 JCR: 1.6, 95/123= 77.24% (Q4) , Engineering, Biomedical)  

[7] Hoangcong Le, Cheng-Kai Lu*, Chen-Chien Hsu, Shao-Kang Huang, “Skeleton-Based Human Action Recognition Using LSTM And Depthwise Separable Convolutional Neural Network,” Applied Intelligence, 55(4), 1-21, January 2025. (SCI)(2023 JCR: 4.8, 78/197=39.59% (Q2), Computer Science, Artificial Intelligence)

[8] Lok Hua Lee, Cyrus Su Hui Ho, Yee Ling Chan, Gabrielle Wann Nii Tay, Cheng-Kai Lu, Tong Boon Tang*, “Antidepressant Treatment Response Prediction with Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA,”  IEEE Journal of Translational Engineering in Health and Medicine, 13, pp. 9-22, November 2024.(SCI)(2023 JCR: 3.7, 46/123=37.40%(Q2), Engineering, Biomedical)

[9] Ayman Siddiqui, Rumaisa Abu Hasan, Syed Saad Azhar Ali, Irraivan Elamvazuthi, Cheng-Kai Lu, and Tong Boon Tang*,“Detection of Low Resilience Using Data-Driven Effective Connectivity Measures,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, pp. 3657-3668, September 2024.(SCI)(2023 JCR: 4.8, 7/68=2.6% (Q1), Rehabilitation)

[10] Leong, Kiet Yew, Socheatra Soeung, Sovuthy Cheab, and Cheng-Kai Lu*, “Structural Optimization for Asymmetrical Inline Topology Filter with Transmission Zeros Using Goal-oriented Reinforcement Learning,” IEEE ACCESS, Vol. 12, pp. 111386 - 111399, August 2024. (SCI) (2023 JCR: 3.4, 122/352=34.5% (Q2), Engineering, Electrical & Electronic, Citations: 1)

[11] Rostand, Jules, Chen-Chien James Hsu, and Cheng-Kai Lu*, “Comprehensive survey on the effectiveness of sharpness aware minimization and its progressive variants,” Journal of the Chinese Institute of Engineers, 47(7), 795-803, August 2024. (SCI) (2023 JCR: 1, 104/179=58.1% (Q3), Engineering, Multidisciplinary)

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[12] 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, 16(1), pp. 5 - 8,  March 2024. 10.1109/LES.2023.3234973  (SCI) (2022 JCR: 1.6, 74/108=68.52% (Q3) , Computer Science, Software Engineering, Citations: 1) 

[13] Chen-Chien Hsu, Pin-Jui Hwang, Wei-Yen Wang, Yin-Tien Wang, and Cheng-Kai Lu*, “Vision-Based Mobile Collaborative Robot Incorporating a Multi-Camera Localization System,” IEEE Sensors Journal, Vol. 23 (18), pp. 21853 - 21861, September, 2023. (SCI) 10.1109/JSEN.2023.3300301 (2022 JCR: 4.3, 12/76=15.79% (Q1), Instruments & Instrumentation, Citations: 7)

[14] 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, 2023, 23(17), 7315, August 2023. (SCI) (2022 JCR: 3.9, 17/76=22.37% (Q1), Instruments & Instrumentation) doi.org/10.3390/s23177315 

[15] Min-Jie Hsu, Po-Chao Yeh, Yi-Hsing Chien, Cheng-Kai Lu*, Wei-Yen Wang, Chen-Chien Hsu, “A Chinese Calligraphy-Writing Robotic System Based on Image-to-Action Translations and a Hypothesis Generation Net,” IEEE ACCESS, Vol. 11, pp. 25801 - 25816, March 2023. (SCI) (2022 JCR: 3.9, 100/275=36.36% (Q2), Engineering, Electrical & Electronic, Citations: 7)

[16] Nivesh Gadipudi, Irraivan Elamvazuthi*, Lila Iznita Izhar, Lokender Tiwari, Ramya Hebbalaguppe, Cheng-Kai Lu, and Arockia Selvakumar Arockia Doss, “A review on monocular tracking and mapping: from model-based to data-driven methods,” Visual Computer, pp. 1 - 28, November 2022. (SCI) (2021 JCR: 2.835, 40/110=36.36% (Q2), Computer Science, Software Engineering, Citations: 8)

[17] 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, 31(18), 2250309, July 2022. https://doi.org/10.1142/S0218126622503091(SCI) (2021 JCR: 1.278, 229/276=82.97% (Q4), Engineering, Electrical & Electronic)

[18] Nivesh Gadipudi, Irraivan Elamvazuthi*, Cheng-Kai Lu, Sivajothi Paramasivam, Steven Su, “Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments,” Neural Computing and Applications, 34 (21), pp.18823-18836, June 2022. (SCI) (2020 JCR: 5.606, 31/139=21.94% (Q1), Computer Science & Artificial Intelligence, Citations: 1)

[19] Carolina R. de Lima, Said .G. Khan, Syed .H. Shah and Cheng-Kai Lu*, “Deliberative/Reactive Architecture of a Multi-Robot Patrol System Based on Supervisory Control Theory,” IEEE Sensors Journal, Vol. 22 (11), pp. 11023 - 11033, June 2022. (SCI) (2022 JCR: 4.3, 15/63=23.81% (Q1), Instruments & Instrumentation, Citations: 7)

[20] Lila Iznita Izhar*, Areej Babiker, Edmi Edison Rizki, Cheng-Kai Lu, Mohamad Abdul Rahman, “Emotion Self-regulation in Neurotic Students: A Pilot Mindfulness based Intervention to Assess Its Effectiveness through Brain Signals and Behavioral Data,” Sensors, 22(7), 2703, April 2022. (SCI) (2020 JCR: 3.576, 14/64=21.88% (Q1), Instruments & Instrumentation, Citations: 22)

[21] 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, 11(5), 733, February 2022. (SCI) (2019 JCR: 2.397, 125/266=46.99% (Q2), Engineering, Electrical & Electronic, Citations: 6)

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[22] Nivesh Gadipudi, Irraivan Elamvazuthi*, Cheng-Kai Lu, Sivajothi Paramasivam, Steven Su, “WPO-Net: Windowed Pose Optimization Network for Monocular Visual Odometry Estimation,” Sensors, 21(23), 8155, December 2021. (SCI) (2019 JCR: 3.275, 15/64=23.43% (Q1), Instruments & Instrumentation, Citations: 8)

[23] Chin Yii Eu, Tong Boon Tang, Cheng-Hung Lin, Lok Hua Lee, Cheng-Kai Lu*, “Automatic Polyp Segmentation in Colonoscopy Images Using a Modified Deep Convolutional Encoder-Decoder Architecture,” Sensors, 21(16), 5630, August 2021. (SCI) (2019 JCR: 3.275, 15/64=23.43% (Q1), Instruments & Instrumentation, Citations: 11)

[24] Chen-Hung Lin*, Chen-Xuan Wang, Cheng-Kai Lu, “LDPC Decoder Design Using Compensation Scheme of Group Comparison for 5G Communication Systems,” Electronics, 10(16), August 2021. (SCI) (2019 JCR: 2.397, 125/266=46.99% (Q2), Engineering, Electrical & Electronic, Citations: 7)

[25] 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, 206, 106114, July 2021. (SCI) (2019 JCR: 5.428, 13/110=11.82% (Q1), Computer Science, Theory & Methods, Citations: 55)

[26] Cheng-Hsuan Chen, Kuo-Kai Shyu, Cheng-Kai Lu, Chi-Wen Jao, and Po-Lei Lee*, “Classification of Prefrontal Cortex Activity Based on Functional Near-Infrared Spectroscopy Data upon Olfactory Stimulation,” Brain Sciences, 11(6), 701, May 19, 2021. (SCI) (2019 JCR: 3.332, 114/272=41.91% (Q2), Medical Informatics, Citations: 3)

[27] Tong Boon Tang*, Jie Sheng Chong, Yee Ling Chan, Esther G. M. Ebenezer, Hoi Yen Chen, Masashi Kiguchi, and Cheng-Kai Lu, “Detection of Emotional Sensitivity Using fNIRS based Dynamic Functional Connectivity,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp. 894-904, May 2021.(SCI)(2019 JCR: 3.802, 7/68=10.29% (Q1), Rehabilitation, Citations: 21)

[28] Lam Ghai Lim, Wei Chun Ung, Yee Ling Chan, Cheng-Kai Lu, Stephanie Sutoko, Tsukasa Funane, Masashi Kiguchi, and Tong Boon Tang*, “Optimizing Mental Workload Estimation by Detecting Baseline State using Vector Phase Analysis Approach,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp. 597-606, February 2021. (SCI) (2019 JCR: 3.802, 7/68=10.29% (Q1), Rehabilitation, Citations: 8) (DOI: 10.1109/TNSRE.2021.3062117)

[29] Muhammad Mudassir Ejaz, Tong Boon Tang, and Cheng-Kai Lu*, “A fast learning approach for autonomous navigation using a deep reinforcement learning method,” Electronics Letters, 57 (2), pp. 50-53, January, 2021. (SCI) (2019 JCR: 1.316, 199/266=74.81% (Q3), Engineering, Electrical & Electronic, Citations: 3)

[30] Muhammad Mudassir Ejaz, Tong Boon Tang, and Cheng-Kai Lu*, “Vision-Based Autonomous Navigation Approach for a Tracked Robot Using Deep Reinforcement Learning,” IEEE Sensors Journal, Vol. 21 (2), pp. 2230 - 2240, January, 2021. (SCI) (2019 JCR: 3.073, 91/266=34.21% (Q2), Engineering, Electrical & Electronic, Citations: 34)

[31] Cheng-Hung Lin*, Wei-Ming Liao, Jing-Wen Liang, Po-Han Chen, Cheng-En Ko, and Cheng-Kai Lu*, “Denoising Performance Evaluations of Automated Age-related Macular Degeneration Detections on Optical Coherence Tomography Images,” IEEE Sensors Journal, Vol. 21 (1), pp. 790-801, January, 2021. (SCI) (2019 JCR: 3.073, 18/64 =28.12% (Q2), Instruments & Instrumentation, Citations: 25) 

[32] Jie Sheng Chong, Yee Ling Chan, Esther G. M. Ebenezer, Hoi Yen Chen, Masashi Kiguchi, Cheng-Kai Lu, and Tong Boon Tang*, “fNIRS-based Functional Connectivity Estimation using Semi-Metric Analysis to Study Decision Making by Nursing Students and Registered Nurses,” Scientific Reports, 10, Article number: 22041, December, 2020. (SCI) (2019 JCR: 3.998, 17/71=23.94% (Q1), Multidisciplinary Sciences, Citations: 9)

[33] Nur Aainaa Nadirah Azlan, Cheng-Kai Lu*, Irraivan Elamvazuthi, Tong Boon Tang, “Automatic Detection of Masses from Mammographic Images via Artificial Intelligence Techniques,” IEEE Sensors Journal, Vol. 20 (21), pp. 13094-13102, November, 2020. (SCI) (2019 JCR: 3.073, 18/64 =28.12% (Q2), Instruments & Instrumentation, Citations: 20) (DOI: 10.1109/JSEN.2020.3002559)

[34] Lam Ghai Lim, Wei Chun Ung, Yee Ling Chan, Cheng-Kai Lu, Stephanie Sutoko, Tsukasa Funane, Masashi Kiguchi, and Tong Boon Tang*, “A Unified Analytical Framework with Multiple fNIRS Features for Mental Workload Assessment in the Prefrontal Cortex,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28(11), pp. 2367-2376, November 2020. (SCI) (2019 JCR: 3.802, 7/68=10.29% (Q1), Rehabilitation, Citations: 30) (DOI: 10.1109/TNSRE.2020.3026991)

[35] Yee Ling Chan, Wei Chun Ung, Lam Ghai Lim, Cheng-Kai Lu, Masashi Kiguchi, and Tong Boon Tang*, “Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation With a Case Study on Alzheimer’s Disease,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28(8), pp. 1691-1701, August 2020. (SCI) (2019 JCR: 3.802, 7/68=10.29% (Q1), Rehabilitation, Citations: 24)

[36] Wei Chun Ung, Kah Hui Yap, Esther Gunaseli M. Ebenezer, Pui See Chin, Nadira Nordin,   Sook Ching Chan, Hung Loong Yip, Cheng-Kai Lu, Masashi Kiguchi, and Tong Boon Tang*, “Assessing Neural Compensation With Visuospatial Working Memory Load Using Near-Infrared Imaging,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28(1), pp. 13-22, January, 2020. (SCI) (2019 JCR: 3.802, 7/68=10.29% (Q1), Rehabilitation, Citations: 17)

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[37] Sharon Ho, I Elamvazuthi*, Cheng-Kai Lu, E Natarajan, S Parasuraman, “Development of Rheumatoid Arthritis Classification from Electronic Image Sensor using Ensemble Method,” Sensors, 20(1), pp. 167, December 2019. (SCI) (2019 JCR: 3.275, 15/64=23.43% (Q1), Instruments & Instrumentation, Citations: 41) 

[38] Syed Ayaz Ali Shah, Aamir Shahzad, Muhammad Amir Khan, Cheng-Kai Lu, and Tong Boon Tang*, “Unsupervised Method for Retinal Vessel Segmentation Based on Gabor Wavelet and Multiscale Line Detector,” IEEE ACCESS, Vol. 7, pp. 167221 - 167228, November 2019. (SCI) (2019 JCR: 3.745, 35/156=22.43% (Q1), Computer Science, Information System, Citations: 53)

[39] Eri Prasetyo Wibowo, Aini Suri Talita, Mohammad Iqbal, Achmad Benny Mutiara, Cheng-Kai Lu, and Fabrice Meriaudeau*, “An Improved Calibration Technique for Polarization Images,” IEEE ACCESS, Vol. 7, pp.  28651–28662, February 2019. (SCI) (2019 JCR: 3.745, 35/156=22.43% (Q1), Computer Science, Information System, Citations: 15) (DOI: 10.1109/ACCESS.2019.2900538)

[40] Shih-An Li, Wei-Yen Wang, Wei-Zheng Pan, Chen-Chien Hsu* and Cheng-Kai Lu, “FPGA-Based Hardware Design for Scale-Invariant Feature Transform,” IEEE ACCESS, Vol. 6, pp. 43850-43864, August 2018. (SCI) (2018 JCR: 3.244, 23/155=14.84% (Q1), Computer Science, Information System, Citations: 23) (DOI: 10.1109/ACCESS.2018.2863019)

[41] Ismail A, Bhatti MS, Faye I, Lu Cheng-Kai, Augustinus Laude, and Tang Tong Boon*, “Pulse waveform analysis on temporal changes in ocular blood flow due to caffeine intake: a comparative study between habitual and non-habitual groups,” Graefe's Archive for Clinical and Experimental Ophthalmology, Vol. 256(9), pp.1711–1721, June 2018. (SCI) (2018 JCR: 3.303, 24/60=40% (Q2), Ophthalmology, Citations: 7)

[42] Cheng-Kai Lu, Yi-Che Huang* and Cheng-Jung Lee, “Adaptive guidance system design for the assistive robotic walker,” Neurocomputing, Vol. 170, pp. 152-160, December 2015. (SCI) (2016 JCR: 3.317, 24/133=18.05% (Q1), Computer Science, Artificial Intelligence, Citations: 46)

[43] Cheng-Kai Lu, Yi-Che Huang*, Cheng-Jung Lee and Zhijun Yang, “Adaptive controller design for mobile robots,” Electronics Letters, Vol 50(10), pp. 743-745, May 2014. (SCI) (2014 JCR: = 0.965, 131/244=53.68% (Q3), Engineering, Electrical & Electronic, Citations: 1)

[44] Tong Boon Tang, Cheng-Kai Lu*, Augustinus Laude, Baljean Dhillon, and Alan F. Murray, “Noise reduction for ellipse fitting on medical images,” Electronics Letters, Vol 49(3), pp. 178-179, January 2013. (SCI) (2014 JCR: = 0.965, 131/244=53.68% (Q3), Engineering, Electrical & Electronic, Citations: 3)

[45] Cheng-Kai Lu, Tong Boon Tang, Augustinus Laude, Baljean Dhillon, and Alan F.  Murray*, “Parapapillary atrophy and optic disc region assessment (PANDORA): retinal imaging tool for assessment of the optic disc and parapapillary atrophy,” Journal of Biomedical Optics, Vol. 17(10), pp. 106010, October 2012. (SCI) (2012 JCR: = 3.157, 7/71=9.85% (Q1), Radiology, Nuclear Medicine & Medical Imaging, Citations: 18) (DOI: 10.1117/1. JBO.17.10.106010)

[46] Cheng-Kai Lu, Tong Boon Tang, Augustinus Laude, Ian John Deary, Baljean Dhillon, and Alan F.  Murray*, “Quantification of parapapillary atrophy and optic disc,” Investigative Ophthalmology & Visual Science, Vol. 52(7), pp. 4671-4677, June 2011. (SCI) (2011 JCR: = 3.466, 5/56=9.92% (Q1), Ophthalmology, Citations: 18)

[47] Augustinus Laude, Cheng-Kai Lu, Tong Boon Tang, Alan F. Murray, R.D. Henderson, Ian John Deary, and Baljean Dhillon, “ Boundary Detection of Optic Disc and Parapapillary Atrophy From Color Fundus Images Using Dual- Channel Color Morphology and Snakes,”  Investigative Ophthalmology & Visual Science, 51(13), 1800-1800. (SCI) (2011 JCR: = 3.466, 5/56=9.92% (Q1), Ophthalmology, Citations: 5)

Total: 37 International Conference Papers

[1] Po-Sheng Lee, Cheng-Kai Lu and Ying-Chen Pan (2025, April). Enhancing Explainability in Lightweight Retinal OCT Segmentation: A Comparative Analysis of FPENet Using RISE and Seg Grad-CAM. In 2025 11th International Conference on Applied System Innovation (ICASI). IEEE.

[2] Ying-Chen Pan, Cheng-Kai Lu, Po-Sheng Lee (2025, April). Lightweight Deep Learning Model for Lung X-Ray Classification on Edge Devices. In 2025 11th International Conference on Applied System Innovation (ICASI). IEEE.

[3] Rostand, J., Hsu, C. C., & Lu, C. K. (2025, January). Adaptive Locality Guidance: Enhancing Vision Transformers on Tiny Datasets. In 2025 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-2). IEEE. 

[4] Tung, P. H., Lu, C. K., Chien, Y. H., & Wang, W. Y. (2025, January). Enhancing E-Paper Color Fidelity: A Deep Learning Approach to Color Correction. In 2025 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-2). IEEE. 

[5] Chou, Y. W., Lin, C. H. D., Hou, M. C., Kuo, W. C., & Lu, C. K. (2025, January). Automated Classification of Multi-Class Brain Tumor with Lightweight CNN Model. In 2025 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-4). IEEE. 

[6] Le, H., Hsu, C. C., Lu, C. K., Wang, W. Y., & Kuo, P. Y. M. (2024, October). Human Action Recognition On Edge Devices: A Novel Light-Weight Model. In 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE) (pp. 910-911). IEEE. 

[7] Chen, C. H., Lin, Z. H., Lin, C. H. D., Lu, C. K., Wang, J. K., & Huang, T. L. (2024, July). Evaluation of Image Interpolations for AMD Detection on OCT Images Using Mobile-OCT CNN Model. In 2024 International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan) (pp. 557-558). IEEE. 

[8] Lin, C. W., Lu, C. K., & Tang, T. B. (2024, April). Efficient Integration of Lightweight Semantic Segmentation for Retinal Fluid Analysis on Edge Devices. In 2024 10th International Conference on Applied System Innovation (ICASI) (pp. 202-204). IEEE.

[9] Chang, P. H., Lu, C. K., Tang, T. B., & Lin, C. W. (2024, April). Efficient Semantic Segmentation of Optical Coherence Tomography Images for Retina Layer Analysis on Edge Devices. In 2024 10th International Conference on Applied System Innovation (ICASI) (pp. 205-207). IEEE.

[10] Lee, L. H., Ho, C. S., Tay, G. W., Lu, C. K., & Tang, T. B. (2023, October). Modelling Major Depressive Disorder Antidepressant Treatment Response: A miRNA-based Machine Learning Study. In TENCON 2023-2023 IEEE Region 10 Conference (TENCON) (pp. 1134-1138). IEEE.

[11] Ding, S. Y., Tang, T. B., & Lu, C. K. (2023, October). Investigation on Light-Weight Deep Learning Model for Emotion Recognition Using Facial Expressions. In TENCON 2023-2023 IEEE Region 10 Conference (TENCON) (pp. 204-208). IEEE.

[12] Yen-Jung Lin, Su Yen Ding, Cheng-Kai Lu, Tong Boon Tang, Jun-Yu Shen, " Emotion Prediction in Music Based on Artificial Intelligence Techniques," In: 2023 IEEE International Conference on Consumer Electronics-Taiwan. IEEE, 2023, pp. 405-406, doi: 10.1109/ICCE-Taiwan58799.2023.10226902.

[13] Chien-Wei Lu, Yen-Jung Lin, Cheng-Kai Lu, Wei-Yen Wang, "Emotion Recognition on Companion Robots: Novel Techniques Exploiting Deep Learning Techniques on Facial and Speech Analysis", In 2023 International Automatic Control Conference (CACS 2023), Penghu, Taiwan. (pp. 1-1).

[14] Yi Kang Wang, Koh Kai Wen, Cheng-Kai Lu, Cheng-Hung Lin," Retinal Layer and Fluid Segmentation with Transformer Based Architecture," In: 2023 IEEE International Conference on Consumer Electronics-Taiwan. IEEE, 2023. pp. 5-6.

[15] Jun-Yu Shen, Cheng-Kai Lu, Lam Ghai Lim," A Novel Deep Convolutional Neural Network Pooling Algorithm for Small floating objects detection," In: 2023 IEEE International Conference on Consumer Electronics-Taiwan. IEEE, 2023. pp. 175-176.

[16] Himajah Natarajan, Jie-Yi Ji, Aadhitiyan Sridharan, Cheng-Hung Lin,  Cheng-Kai Lu, Jia-Kang Wang, Tzu-Lun Huang," Implementation of Extreme Learnin g Machine Algorithm for Age-related Macular Degeneration Detection on OCT volumes," In: 2023 IEEE International Conference on Consumer Electronics-Taiwan. IEEE, 2023. pp. 635-636. 

[17] Win Sheng Liew, Tong Boon Tang, and Cheng-Kai Lu, "Computer-Aided Diagnostic Tool for Classification of Colonic Polyp Assessment," International Conference on Artificial Intelligence for Smart Community, Springer, pp. 735-743, Singapore, November 2022.  (Citations: 4)

[18] Chin Yii Eu, Tong Boon Tang, and Cheng-Kai Lu, "Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet," International Conference on Artificial Intelligence for Smart Community, Springer, pp. 717-723, Singapore, November 2022.  (Citations: 6)

[19] Jie-Yi Ji, Hong-Yu You, Hsu-Ting Wei, Yu-Heng Liu, Cheng-Hung Lin, Cheng-Kai Lu," Using Combinational System of Machine Learning and Deep Learning to Detect Age-related Macular Degeneration, " In: 2022 IEEE International Conference on Consumer Electronics-Taiwan. IEEE, 2022. pp. 5-6.(Citations: 1)

[20] Yao-Wen Yu, Cheng-Hung Lin, Cheng-Kai Lu, Jia-Kang Wang, Tzu-Lun   Huang, “Distinct feature labeling methods for SVM-based AMD automated detector on 3D OCT volumes,” in Proc. IEEE Int. Conf. Consumer Electronics (ICCE),  Las Vegas, NV, USA, January 2022. (Citations: 1)

[21] Heng-Chi Hsu, Cheng-Hung Lin, Cheng-Kai Lu, Jia-Kang Wang, Tzu-Lun Huang, “A Lightweight CNN net for AMD detection using OCT volumes,” in Proc. IEEE Int. Conf. Consumer Electronics (ICCE), Las Vegas, NV, USA, January 2022. (Citations: 1)

[22] Nur Aainaa Nadirah Azlan, Irraivan Elamvazuthi, Tong Boon Tang, Cheng-Kai Lu, “Breast Cancer Detection by Hybrid Techniques based on Deep Learning Networks,” 8th International Conference on Intelligent and Advanced Systems (ICIAS), Kuching, Malaysia, July 2021. (Citations: 1)

[23] Nivesh Gadipudi, Irraivan Elamvazuthi, Cheng-Kai Lu, Sivajothi Paramasivam, R Jegadeeshwaran, “Analysis of Unsupervised Loss Functions for Homography Estimation,” 8th International Conference on Intelligent and Advanced Systems (ICIAS), Kuching, Malaysia, July 2021. 

[24] Hong-Yu You, Hsu-Ting Wei, Cheng-Hung Lin, Jie-Yi Ji, Yu-Heng Liu, Cheng-Kai Lu, Jia-Kang Wang, Tzu-Lun Huang, “An AMDOCT-NET for Automated AMD Detection under Evaluations of Different Image Size, Denoising and Cropping,” 2021 IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS), pp. 138-142, Tainan, Taiwan, 28-30 May 2021. (Citations: 3)

[25] Sharon Ho, I Elamvazuthi, Cheng-Kai Lu, S Parasuraman, and Elango Natarajan,“Classification of Rheumatoid Arthritis using Machine Learning Algorithms, ” 2019 IEEE Student Conference on Research and Development (SCOReD), pp. 245-250, Bandar Seri Iskandar, Malaysia, 15-17 October 2019. (Citations: 11)

[26] Muhammad Mudassir Ejaz, Tong Boon Tang, and Cheng-Kai Lu, “Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview,” 2019 IEEE Student Conference on Research and Development (SCOReD), pp. 294-299, Bandar Seri Iskandar, Malaysia, 15-17 October 2019 (Citations: 12)

[27] Chong Jie Sheng, Cheng-Kai Lu, and Tong Boon Tang, “Study of Emotional State Effect on Decision Making by Using fNIRS,” 2019 IEEE International Circuits and Systems Symposium (ICSyS), Kuantan, Pahang, Malaysia, pp. 1-4, 18-19 September 2019. (Citations: 5)

[28] Cheng-En Ko, Po-Han Chen, Wei-Ming Liao, Cheng-Kai Lu, Cheng-Hung Lin, and Jing-Wen Liang, “Using A Cropping Technique or Not: Impacts on SVM- based AMD Detection on OCT Images,” 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Hsinchu, Taiwan, pp. 199-200, 18-20 March 2019. (Citations: 12)

[29] Sharon Ho, I Elamvazuthi, and Cheng-Kai Lu, “Classification of Rheumatoid Arthritis using Machine Learning Algorithms,” 2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation (ROMA), Perambalur, Tamil Nadu, India, 10-12 December 2018. (Citations: 23)

[30]  Genevieve C. Y. Chan, Syed A. A. Shah, Tong Boon Tang, Cheng-Kai Lu, H. Muller, and F. Meriaudeau, “Deep Features and Data Reduction for Classification of SD-OCT Images: Application to Diabetic Macular Edema,” 2018 International Conference on Intelligent and Advanced System (ICIAS), Kuala Lumpur, Malaysia, 13-14 August. 2018. (Citations: 9)

[31] Cheng-Kai Lu and Shiwei Wang, “Peak-triggered sampling circuitry for a fine-structure-aware cochlear implant,” TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, Malaysia, 5-8 November 2017. (Citations: 2)

[32] Genevieve C. Y. Chan, Awais Muhammad, Syed A. A. Shah, Tong Boon Tang, Cheng-Kai Lu, and Fabrice Meriaudeau, “Transfer learning for Diabetic Macular Edema (DME) detection on Optical Coherence Tomography (OCT) images,” 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuching, Malaysia, 12-14 September 2017. (Citations: 61)

[33] Cheng-Kai Lu, Tong Boon Tang, Augustinus Laude, Baljean Dhillon, and Alan F. Murray, “Automatic Parapapillary Atrophy Shape Detection and Quantification in Colour Fundus Images,” 2010 IEEE Biomedical Circuits and Systems Conference, 3-5 November, Paphos, Cyprus, 2010, pp. 86-89. (Citations: 17)

[34]  Ying-Wen Bai, Chien-Yung Cheng, Cheng-Kai Lu, Chuang-Hsiang Huang, Yuh-Ting Chen and Ya-Nan Lin,“ Adjustable 60Hz Noise Reduction and ECG Signal Amplification of a Remote Electrocardiogram System,” 2003 IEEE IMTC Instrumentation and Measurement Technology Conference, Vail, CO,USA, 20-22 May 2003. (Citations: 25)

[35] Ying-Wen Bai and Cheng-Kai Lu, “Operation time Extension of a Microcomputer System Powered by Solar Cells with a Reflection Mirror,” 2002 IEEE International Symposium on Consumer Electronics, Erfurt, Germany, 2002, pp. K-1~K-6.

[36]  Ying-Wen Bai and Cheng-Kai Lu, “Design and Implementation of a Low-Power Microcomputer System Powered by Solar Cells,” 2002 IEEE International Symposium on Consumer Electronics, Erfurt, Germany, 2002, pp. K-7~K-12.

[37] Ying-Wen Bai, Cheng-Kai Lu and Tsung-Jung Yeh, “Design and Implementation of a Microcomputer-Based Measurement System for Solar Cells,” Proceedings of the Applied Informatics, February 2001, pp. 450-455.

[1]  Cheng-Kai Lu (2012). A retinal imaging tool for assessment of the parapapillary atrophy and the optic disc (PhD thesis). The University of Edinburgh, UK. Retrieved from https://era.ed.ac.uk/handle/1842/9903?show=full

[2]  Cheng-Kai Lu, Tong Boon Tang, Augustinus Laude, Ian J. Deary, Baljean Dhillon, Alan F. Murray, “Computer-Aided Assessment of Optic Nerve,” Human Eye Imaging and Modeling, edited by E.Y.K. Ng, J.H. Tan, U.R. Acharya CRC Press, May 2012, ISBN: 9781439869932.

[1] Tung-Jung Hsu and Cheng-Kai Lu, “PS2 KEYBOARD SYSTEM,” Taiwan Patent, 2006. 

[2] Ying-Wen Bai and Cheng-Kai Lu, “LOW POWER CONSUMPTION MICROCOMPUTER SYSTEM ADAPTIVE TO NONLASTING POWER SOURCE AND OPERATION METHOD THEREOF,” Taiwan Patent, 2006.