代表论著
(1). Zhishuo Li, Yunong Tian, Guodong Yang*, En Li, Yanfeng Zhang, Zize Liang, Min Tan, "Model-Based Trajectory Planning of a Hybrid Robot for Powerline Inspection," in IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3443-3450, April 2024 , doi: 10.1109/LRA.2024.3363535.
(2). Yanfeng Zhang; Yunong Tian; Wanguo Wang; Guodong Yang*; Zhishuo Li; Fengshui Jing; Min Tan, "RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry," in IEEE Robotics and Automation Letters, vol. 8, no. 3, pp. 1802-1809, March 2023, doi: 10.1109/LRA.2023.3243528. SCIE.
(3). Zhishuo Li, Yunong Tian, Guodong Yang*, En Li, Yanfeng Zhang, Minghao Chen, Zize Liang, Min Tan, "Vision-Based Autonomous Landing of a Hybrid Robot on a Powerline," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-11, 2023, Art no. 3501711, doi: 10.1109/TIM.2022.3224524. SCIE.
(4). Jin C, Wang S, Yang G*, Li E, Liang Z. A Review of the Methods on Cobb Angle Measurements for Spinal Curvature. Sensors. 2022; 22(9):3258. https://doi.org/10.3390/s22093258. SCIE.
(5). Z. Gao, G. Yang*, E. Li and Z. Liang, "Novel Feature Fusion Module-Based Detector for Small Insulator Defect Detection," IEEE Sensors Journal, vol. 21, no. 15, pp. 16807-16814, 1 Aug.1, 2021. SCIE.
(6). Z. Gao, G. Yang*, E. Li, Z. Liang and R. Guo, "Efficient Parallel Branch Network With Multi-Scale Feature Fusion for Real-Time Overhead Power Line Segmentation," IEEE Sensors Journal, vol. 21, no. 10, pp. 12220-12227, 15 May, 2021. SCIE.
(7). Yunong Tian, Guodong Yang, Zhe Wang, En Li, Zize Liang, "Instance segmentation of apple flowers using the improved mask R-CNN model," Biosystems Engineering, vol. 193, pp. 264-278, Apr.28, 2020. SCIE.
(8). Gao, Zishu, Yang, Guodong*, Li En, Shen Tianyu, Wang Zhe, Tian Yunong, Wang Hao, Liang Zize, "Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network," Journal of Sensors, 2019, 2019. SCIE.
(9). Yunong Tian, Guodong Yang, Zhe Wang, En Li, Zize Liang, "Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense, " Journal of Sensors, vol. 2019, 2019. SCIE.
(10). Yunong Tian, Guodong Yang, Zhe Wang, Hao Wang, En Li, Zize Liang, "Apple detection during different growth stages in orchards using the improved YOLO-V3 model," Computers and Electronics in Agriculture, vol. 157, pp. 417-426, Feb. 2019. SCIE.