【Journal Papers】(2017 – present)
【Journal Papers】(2017 – present)
H. Le, C.-K. Lu, and C.-C. Hsu, “TS-ResCNN: Efficient skeleton-based action recognition for edge IoT sensor systems,” IEEE Sensors Journal (Early Access), March 2026. (SCI)
H. Le, C.-K. Lu, W.-Y. Wang, and C.-C. Hsu, “Skeleton-based human action recognition using multi-type input data on edge devices in Internet of Things systems,” IEEE Internet of Things Journal (Early Access), Feb. 2026. (SCI)
S.-K. Huang, W.-Y. Wang, and C.-C. Hsu, “Deploying a skeleton-based video anomaly detection system on edge devices for human activity surveillance,” IEEE Embedded Systems Letters (Early Access), Oct. 2025. (SCI)
J. Rostand, C.-C. Hsu, and C.-K. Lu, “Adaptive locality guidance: using locality guidance to initialize the learning of vision transformers on tiny datasets,” IEEE Trans. on Neural Networks and Learning Systems, vol. 36, no. 8, pp. 14313-14327, Aug. 2025. (SCI)
C.-H. Hsiao, H.-C. Su, Y.-T. Wang, M.-J. Hsu, and C.-C. Hsu, “ResNet-SE-CBAM Siamese networks for few-shot and imbalanced PCB defect classification,” Sensors, vol. 25, no. 13, July 2025. (SCI)
Y. Zhang, N. Funabiki, E. C. Febrianti, A. Sudarsono, and C.-C. Hsu, “A hair drawing evaluation algorithm for exactness assessment method in portrait drawing learning assistant system,” Algorithms, vol. 18, no. 3, March 2025. (ESCI)
M.-J. Hsu, C.-C. Hsu, Y.-H. Chien, and W.-Y. Wang, “The cognitive system of robots based on deep learning with stable convergence,” International Journal of Fuzzy Systems, Feb. 2025. (SCI)
H. Le, C.-K. Lu, C.-C. Hsu, and S.-K. Huang, “Skeleton-based human action recognition using LSTM and depthwise separable convolutional neural network,” Applied Intelligence, vol. 55, no. 298, Jan. 2025. (SCI)
H. Le, S. Saeedvand, and C.-C. Hsu, “A comprehensive review of mobile robot navigation using deep reinforcement learning algorithms in crowded environments,” Journal of Intelligent & Robotic Systems, vol. 110, Nov. 2024. (SCI)
M.-H. Hsu, C.-C. Hsu, Y.-T. Wang, S.-K. Huang, and Y.-H. Chien, “Online action detection incorporating an additional action classifier,” Electronics, vol. 13, no. 20, Oct. 2024. (SCI)
S.-K. Huang, C.-C. Hsu, and W.-Y. Wang, “Multiple object tracking with improved person re-identification using polynomial cross entropy loss,” IEEE Access, vol. 12, pp. 130413-130424, Sep. 2024. (SCI)
Y. Zhang, Z. Kong, N. Funabiki, and C.-C. Hsu, “A study of drawing exactness assessment method using localized normalized cross-correlations in portrait drawing learning assistant system,” Computers, vol. 13, no. 9, Aug. 2024. (SCI)
J. Rostand, C.-C. Hsu, and C.-K. Lu, “Comprehensive survey on the effectiveness of sharpness aware minimization and its progressive variants,” Journal of the Chinese Institute of Engineers, vol. 47, 2024. (SCI)
C.-L. Cheng, C.-C. Hsu, S. Saeedvand, and J.-H. Jo, “Multi-objective crowd-aware robot navigation system using deep reinforcement learning,” Applied Soft Computing, vol. 151, Jan. 2024. (SCI)
C.-C. Hsu, P.-J. Hwang, W.-Y. Wang, Y.-T. Wang, and C.-K. Lu, “Vision-based mobile collaborative robot incorporating a multi-camera localization system,” IEEE Sensors Journal, vol. 23, no. 18, pp. 21853-21861, Sept. 2023. (SCI)
M.-J. Hsu, P.-C. Yeh, Y.-H. Chien, C.-K. Lu, W.-Y. Wang, C.-C. 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)
S.-K. Huang, C.-C. Hsu, and W.-Y. Wang, “Person re-identification with improved performance by incorporating focal Tversky loss in AGW baseline,” Sensors, vol. 22, Dec. 2022. (SCI)
C.-W. Peng, C.-C. Hsu, and W.-Y. Wang, “Mobile mapping system for automatic extraction of geodetic coordinates for traffic signs based on enhanced point cloud reconstruction,” IEEE Access, vol. 10, pp. 117374-117384, Nov. 2022. (SCI)
W.-Y. Wang, M.-J. Hsu, Y.-H. Chien, C.-C. Hsu, H.-H. Chiang, and L.-A. Yu, “Cognitive system of a virtual robot based on perception, memory, and hypothesis models for calligraphy writing task,” IEEE Access, vol. 10, pp. 117782-117795, Nov. 2022. (SCI)
P.-J. Hwang, C.-C. Hsu, P.-Y. Chou, W.-Y. Wang, and C.-H. Lin, “Vision-based learning from demonstration system for robot arms,” Sensors, vol. 22, no. 7, March 2022. (SCI)
W.-Y. Shieh, Y.-F. Zhang, C.-C. Hsu, and X.-B. Guo, “A study of error distribution and positioning accuracy by optical triangulation in short-range vehicle-to-vehicle environment,” Infrared Physics & Technology, vol. 123, June 2022.
W.-Y. Shieh, Y.-F. Zhang, C.-C. Hsu, and X.-B. Guo, “A study of error reduction in optical triangulation for short-range intervehicle positioning,” IEEE Photonics Journal, vol. 14, no. 2, April 2022. (SCI)
H.-H. Chiang, J.-K. You, C.-C. Hsu, and J. Jo, “Optimal grasping strategy for robots with a parallel gripper based on feature sensing of 3D object model,” IEEE Access, vol. 10, pp. 24056-24066, March 2022. (SCI)
J.-K. You, C.-C. Hsu, W.-Y. Wang, and S.-K. Huang, “Object pose estimation incorporating projection loss and discriminative refinement,” IEEE Access, vol. 9, Feb. 2021. (SCI)
C.-H. Chien, C.-C. Hsu, and C.-J. Chien, “Multiple master-slave FPGA architecture of a stereo visual odometry,” IEEE Access, vol. 9, pp. 103266-103278, July 2021. (SCI)
C.-H. Kuo, E.-H. Huang, C.-H. Chien, and C.-C. Hsu, “FPGA design of enhanced scale-invariant feature transform with finite-area parallel feature matching for stereo vision,” Electronics, vol. 10, no. 14, July 2021. (SCI)
C.-H. Lin, C.-S. Lin, P.-Y. Chou, and C.-C. Hsu, “An efficient data augmentation network for out-of-distribution image detection,” IEEE Access, vol. 9, pp. 35313-35323, Feb. 2021. (SCI)
C.-W. Peng, C.-C. Hsu, and W.-Y. Wang, “Cost effective mobile mapping system for color point cloud reconstruction,” Sensors, vol. 20, no. 22, Nov. 2020. (SCI)
J.-K. Tsai, C.-C. Hsu, W.-Y. Wang, and S.-K. Huang, “Deep learning-based real-time multiple-person action recognition system,” Sensors, vol. 20, no. 17, pp. 1-17, Aug. 2020. (SCI)
S.-K. Huang, C.-C. Hsu, W.-Y. Wang, and C.-H. Lin, “Iterative pose refinement for object pose estimation based on RGBD data,” Sensors, vol. 20, no. 15, July 2020. (SCI)
W.-Y. Wang, M.-J. Hsu, L.-A. Yu, Y.-H. Chien, and C.-C. Hsu, “Deep learning-based hypothesis generation model and its application on virtual Chinese calligraphy-writing robot,” IEEE Access, vol. 8, no. 1, pp. 87243-87251, May 2020. (SCI)
P.-J. Hwang, C.-C. Hsu, and W.-Y. Wang, “Development of a mimic robot-learning from demonstration incorporating object detection and multiaction recognition,” IEEE Consumer Electronics Magazine, vol. 9, no. 3, pp. 79-87, May 2020. (SCI)
C.-H. Chien, C.-C. Hsu, W.-Y. Wang, and H.-H. Chiang, “Indirect visual simultaneous localization and mapping based on linear models,” IEEE Sensors Journal, vol. 20, no. 5, pp. 2738-2747, March 2020. (SCI)
M.-J. Hsu, Y.-H. Chien, W.-Y. Wang, and C.-C. Hsu, “A convolutional fuzzy neural network architecture for object classification with small training database,” International Journal of Fuzzy Systems (IJFS), vol. 22, no. 1, pp. 1-10, Jan. 2020. (SCI)
Y.-H. Chien, M.-J. Hsu, L.-A. Yu, W.-Y. Wang, and C.-C. Hsu, “Robotic calligraphy system using Delta-like robot manipulator and virtual brush model,” International Journal of iRobotics, vol. 2, no. 4, pp. 1-6, Dec. 2019.
J. Baltes, D.-W. Kung, W.-Y. Wang, and C.-C. Hsu, “Adaptive computational SLAM incorporating strategies of exploration and path planning,” Knowledge Engineering Review, Dec. 2019. (SCI)
C.-H. Lin, W.-Y. Wang, S.-H. Liu, C.-C. Hsu, and C.-C. Chien, “Heterogeneous implementation of a novel indirect visual odometry system,” IEEE Access, vol. 7, pp. 34631-34644, March 2019. (SCI)
I-H. Li, W.-Y. Wang, C.-Y. Li, J.-Z. Kao, and C.-C. Hsu, “Cloud-based improved Monte Carlo localization algorithm with robust orientation estimation for mobile robots,” Engineering Computations, vol. 36, no. 1, pp. 178-203, Feb. 2019. (SCI)
W.-Y. Shieh, C.-C. Hsu, C.-H. Lin, and T.-H. Wang, “Investigation of Vehicle Positioning by Infrared Signal-Direction Discrimination for Short-Range Vehicle-to-Vehicle Communications,” IEEE Trans. on Vehicular Technology, vol. 67, no. 12, pp. 11563-11574, Dec. 2018. (SCI)
I-H. Li, W.-Y. Wang, C.-Y. Li, J.-Z. Kao, and C.-C. Hsu, “Cloud-based improved Monte Carlo localization algorithm with robust orientation estimation for mobile robots,” Engineering Computations, vol. 36, no. 1, pp. 178-203, Dec. 2018. (SCI)
S.-A. Li, W.-Y. Wang, W.-Z. Pan, C.-C. Hsu, and C.-K. Lu, “FPGA-based hardware design for scale-invariant feature transform,” IEEE Access, vol. 6, pp. 43850-43864, Aug. 2018. (SCI)
W.-Y. Shieh, C.-C. Hsu, and T.-H. Wang, “Vehicle positioning and trajectory tracking by infrared signal-direction discrimination for short-range vehicle-to-infrastructure communication systems,” IEEE Trans. on Intelligent Transportation Systems, vol. 19, no. 2, pp. 368-379, Feb. 2018. (SCI)
C.-C. Hsu, W.-Y. Wang, Y.-H. Chien, and R.-Y. Hou, “FPGA implementation of improved ant colony optimization algorithm based on pheromone diffusion mechanism for path planning,” Journal of Marine Science and Technology, vol. 26, no. 2, pp. 170-179, April 2018.
C.-C. Hsu, C.-K. Yang, Y.-T. Wang, W.-Y. Wang, and C.-H. Chien, “Computationally efficient algorithm for vision-based simultaneous localization and mapping of mobile robots,” Engineering Computations, vol. 34, no. 4, pp. 1217-1239, Aug. 2017. (SCI)
C.-H. Chien, W.-Y. Wang, J. Jo, and C.-C. Hsu, “Enhanced Monte Carlo localization incorporating a mechanism for preventing premature convergence,” Robotica, vol. 35, no. 7, pp. 1504-1522, July 2017. (SCI)
C.-C. Hsu, W.-Y. Wang, T.-Y. Lin, Y.-T. Wang, and T.-W. Huang, “Enhanced simultaneous localization and mapping (ESLAM) for mobile robots,” International Journal of Humanoid Robotics, vol. 14, no. 2, pp. 1-17, 2017. (SCI)
C.-H. Chien, W.-Y. Wang, and C.-C. Hsu, “Multi-objective evolutionary approach to prevent premature convergence in Monte Carlo localization,” Applied Soft Computing, vol. 50, pp. 260-279, Jan. 2017. (SCI)