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Yang Li
Yang Li
Associate Professor, Shihezi University, China
Zweryfikowany adres z shzu.edu.cn - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Do we really need deep CNN for plant diseases identification?
Y Li, J Nie, X Chao
Computers and Electronics in Agriculture 178, 105803, 2020
1622020
Few-shot cotton pest recognition and terminal realization
Y Li, J Yang
Computers and Electronics in Agriculture 169, 105240, 2020
1372020
Meta-learning baselines and database for few-shot classification in agriculture
Y Li, J Yang
Computers and Electronics in Agriculture 182, 106055, 2021
1212021
Semi-supervised few-shot learning approach for plant diseases recognition
Y Li, X Chao
Plant Methods 17, 1-10, 2021
962021
A survey of few-shot learning in smart agriculture: developments, applications, and challenges
J Yang, X Guo, Y Li, F Marinello, S Ercisli, Z Zhang
Plant Methods 18 (1), 28, 2022
852022
ANN-based continual classification in agriculture
Y Li, X Chao
Agriculture Basel 10 (5), 178, 2020
762020
Msta-net: forgery detection by generating manipulation trace based on multi-scale self-texture attention
J Yang, S Xiao, A Li, W Lu, X Gao, Y Li
IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4854-4866, 2021
682021
Entropy-based redundancy analysis and information screening
Y Li, J Yang, J Wen
Digital Communications and Networks, 2023
502023
Distance-entropy: an effective indicator for selecting informative data
Y Li, X Chao
Frontiers in Plant Science, 2022
462022
Toward sustainability: trade-off between data quality and quantity in crop pest recognition
Y Li, X Chao
Frontiers in Plant Science 12, 2959, 2021
432021
Healthcare Data Quality Assessment for Cybersecurity Intelligence
Y Li, J Yang, Z Zhang, J Wen, P Kumar
IEEE Transactions on Industrial Informatics, 2023
412023
Comprehensive ocean information-enabled AUV path planning via reinforcement learning
M Xi, J Yang, J Wen, H Liu, Y Li, HH Song
IEEE Internet of Things Journal 9 (18), 17440-17451, 2022
402022
Disturbed-entropy: A simple data quality assessment approach
Y Li, X Chao, S Ercisli
ICT Express 8 (3), 309-312, 2022
382022
Artificial intelligence and digital twins in sustainable agriculture and forestry: A survey
J Nie, Y Wang, Y Li, X Chao
Turkish Journal of Agriculture and Forestry, 2022
362022
Dissimilarity-based active learning for embedded weed identification
Y Yang, Y Li, J Yang, J Wen
Turkish Journal of Agriculture and Forestry 46 (3), 390-401, 2022
362022
Data quality assessment and analysis for pest identification in smart agriculture
J Yang, G Lan, Y Li, Y Gong, Z Zhang, S Ercisli
Computers and Electrical Engineering 103, 108322, 2022
352022
Sustainable computing in smart agriculture: survey and challenges
J Nie, Y Wang, Y Li, X Chao
Turkish Journal of Agriculture and Forestry 46 (4), 550-566, 2022
322022
The intelligent path planning system of agricultural robot via reinforcement learning
J Yang, J Ni, Y Li, J Wen, D Chen
Sensors 22 (12), 4316, 2022
282022
Radar target recognition based on few-shot learning
Y Yang, Z Zhang, W Mao, Y Li, C Lv
Multimedia Systems, 1-11, 2021
282021
A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing
J Yang, M Xi, J Wen, Y Li, H Song
Digital Communications and Networks, 2022
252022
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