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Dive into the research topics where KA LUN, EDDIE LAW 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
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From biogenesis to deep modeling: a holistic review of miRNA–disease prediction computational methods with experimental comparison
Xie, S. & Law, K. L. E., 1 Jan 2026, In: Briefings in Bioinformatics. 27, 1, bbaf736.Research output: Contribution to journal › Article › peer-review
Open Access -
Loyalty-SMOTE: Data synthesis algorithm for effective imbalanced data classification
Hu, S., Li, J., Li, Z., Zhang, Z., Feng, Y. & Law, K. L. E., Jul 2026, In: Neural Networks. 199, 108677.Research output: Contribution to journal › Article › peer-review
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Lookup Table Designs for Real-Time RAFT Consensus Agreements on HAPS Platforms
Wen, Y. & Law, K. L. E., 2025, Proceedings - 2025 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2025. Zhao, L., Sun, Y., Yang, K., Liu, Z., Bensliman, A. & Malekian, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 419-426 8 p. (Proceedings - 2025 IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Model to Learn Like Humans
Wang, L. & Law, K. L. E., 2025, Computer, 58, 1, p. 58-65 8 p.Research output: Contribution to specialist publication › Article
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Mutual Knowledge Distillation-Based Communication Optimization Method for Cross-Organizational Federated Learning
Liu, S., Shen, H., Law, E. K. L. & Lam, C. T., May 2025, In: Electronics (Switzerland). 14, 9, 1784.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)
Press/Media
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Research from Faculty of Applied Sciences in the Area of Engineering Described (Remote Sensing and Deep Learning for Algal Blooms: A Review)
11/11/25
1 item of Media coverage
Press/Media
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Faculty of Applied Sciences Researchers Add New Study Findings to Research in Engineering (Automatic Lane Discovery and Traffic Congestion Detection in a Real-Time Multi-Vehicle Tracking Systems)
KE, W., LAM, C. T., WANG, L., IM, S. K., LAW, K. L. E. & NG, K. K. B.
22/11/24
1 item of Media coverage
Press/Media
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Faculty of Applied Sciences Researchers Publish New Study Findings on Engineering (Deep Learning Models for Time Series Forecasting: A Review)
18/07/24
1 item of Media coverage
Press/Media