Research output per year
Research output per year
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Dive into the research topics where YUE LIU is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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BWLM: A Balanced Weight Learning Mechanism for Long-Tailed Image Recognition
Fan, B., Ma, H., Liu, Y. & Yuan, X., Jan 2024, In: Applied Sciences (Switzerland). 14, 1, 454.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
CAGE: A Curiosity-Driven Graph-Based Explore-Exploit Algorithm for Solving Deterministic Environment MDPs With Limited Episode Problem
Yu, Y., Liu, Y., Wong, D., Li, H., Egas-Lopez, J. V. & Ma, Y., 2024, In: IEEE Access. 12, p. 144106-144121 16 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Comprehensive Performance Evaluation of Mobile Networks in Macao Based on Field Test Data
Yu, Y., Liu, Y., Wong, D. & Tang, S. K., 2024, Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. Yang, X-S., Sherratt, R. S., Dey, N. & Joshi, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 171-181 11 p. (Lecture Notes in Networks and Systems; vol. 695 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
ECA-ViT: Leveraging ECA and Vision Transformer for Crop Leaves Diseases Identification in Cultivation Environments
He, F., Liu, Y. & Liu, J., 2024, 2024 4th International Conference on Machine Learning and Intelligent Systems Engineering, MLISE 2024. Institute of Electrical and Electronics Engineers Inc., p. 101-104 4 p. (2024 4th International Conference on Machine Learning and Intelligent Systems Engineering, MLISE 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
KDTM: Multi-Stage Knowledge Distillation Transfer Model for Long-Tailed DGA Detection
Fan, B., Ma, H., Liu, Y., Yuan, X. & Ke, W., Mar 2024, In: Mathematics. 12, 5, 626.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)
Press/Media
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Faculty of Applied Sciences Researchers Publish New Study Findings on Mathematics (KDTM: Multi-Stage Knowledge Distillation Transfer Model for Long-Tailed DGA Detection)
WEI KE, XIAOCHEN YUAN, YUE LIU & HAN MA
26/03/24
1 item of Media coverage
Press/Media
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Study Results from Faculty of Applied Sciences Update Understanding of Applied Sciences (BWLM: A Balanced Weight Learning Mechanism for Long-Tailed Image Recognition)
XIAOCHEN YUAN, YUE LIU & HAN MA
24/01/24
1 item of Media coverage
Press/Media