1. Hoangcong Le, Cheng-Kai Lu, Wei-Yen Wang, and Chen-Chien Hsu*, “Skeleton-Based Human Action Recognition Using Multi-Type Input Data on Edge Devices in Internet of Things Systems ,” IEEE Internet of Things Journal, January 2026.
  2. Hoangcong Le, and Cheng-Kai Lu*, “A Low-Latency Deep Learning Approach for Human Action Recognition in Medical Internet of Things Applications,” Computers and Electrical Engineering, January 2026.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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. (Early Access)
  9. 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)
  10. 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, 5/170=2.6% (Q1), Rehabilitation)
  11. 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.
  12. 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.
  13. 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, pp. 1 - 4, January 2023. (Early Access) 10.1109/LES.2023.3234973
  14. 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.
  15. 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, August 2023. (SCI) (Early Access) 10.1109/JSEN.2023.3300301
  16. 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. 7, pp. 167221 - 167228, March 2023.
  17. Yu, Y. W., Lin, C. H., Lu, C. K., Wang, J. K., & Huang, T. L. (2023). Automated Age-Related Macular Degeneration Detector on Optical Coherence Tomography Images Using Slice-Sum Local Binary Patterns and Support Vector Machine. Sensors, 23(17), 7315.
  18. 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,” The Visual Computer, pp. 1 - 28, November 2022.
  19. 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, 2022.
  20. 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.
  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, 2022.
  22. 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.
  23. 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.
  24. 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.
  25. 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, pp. 29, 597-606, 2021.
  26. 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.
  27. Liew, W. S., Tang, T. B., Lin, C.-H., & Lu, C.-K. (2021). 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.
  28. Cheng-Hsuan Chen, Kuo-Kai Shyu, Cheng-Kai Lu, Chi-Wen Jao, and Po-Lei Lee, “Detection of Emotional Sensitivity Using fNIRS based Dynamic Functional Connectivity,” Brain Sciences, 11(6), 701, May 19, 2021.
  29. Muhammad Mudassir Ejaz, Tong Boon Tang, and Cheng-Kai Lu*, “A fast learning approach for autonomous navigation using a deep reinforcement learning method,” IET Electronics Letters, 57 (2), pp. 50-53, January, 2021.
  30. 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, 2021.
  31. 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, 2021.
  32. Eu, C. Y., Tang, T. B., Lin, C. H., Lee, L. H., & Lu, C. K. (2021). Automatic polyp segmentation in colonoscopy images using a modified deep convolutional encoder-decoder architecture. Sensors, 21(16), 5630.
  33. 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), 2021.
  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.
  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.
  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.
  37. 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.
  38. 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.
  39. 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, 2020.
  40. 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.
  41. 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.
  42. 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, 2018.
  43. Shih-An Li, Wei-Yen Wang, Wei-Zheng Pan, Chen-Chien Hsu* and Cheng-Kai Lu, “FPGA-based Hardware Architecture for Scale-Invariant Feature Transform Design,” IEEE ACCESS, Vol. 7, pp. 43850-43864, August 2018.

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  3. 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.
  4. 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.
  5. Lin, Y. W., Chien, Y. H., Hsu, M. J., Wang, W. Y., Lu, C. K., & Hsu, C. C. (2023, July). Image-to-Action Translations Based Object Grasping Strategy without Depth Information and Robot Kinematics Analysis. In 2023 International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan) (pp. 53-54). IEEE.
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  9. Natarajan, H., Ji, J. Y., Sridharan, A., Lin, C. H., Lu, C. K., Wang, J. K., & Huang, T. L. (2023, July). Implementation of Extreme Learning Machine Algorithm for Age-related Macular Degeneration Detection on OCT volumes. In 2023 International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan) (pp. 635-636). IEEE.
  10. 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.
  11. 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.
  12. Ji, J. Y., You, H. Y., Wei, H. T., Liu, Y. H., Lin, C. H., Lu, C. K., ... & Huang, T. L. (2022, July). Using combinational system of machine learning and deep learning to detect age-related macular degeneration. In 2022 IEEE International Conference on Consumer Electronics-Taiwan (pp. 5-6). IEEE.
  13. 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), Virtual Online, pp. 1-2, January 2022.
  14. 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), Virtual Online, pp. 1-2, January 2022.
  15. 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.
  16. 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), pp. 1-4, July 2021.
  17. You, H. Y., Wei, H. T., Lin, C. H., Ji, J. Y., Liu, Y. H., Lu, C. K., ... & Huang, T. L. (2021, May). An AMDOCT-NET for automated AMD detection under evaluations of different image size, denoising and cropping. In 2021 IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS) (pp. 138-142). IEEE.
  18. 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.
  19. 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
  20. 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.
  21. 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, 18-19 September 2019.
  22. 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, Taiwan, 18-20 March 2019.

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