KA LUN, EDDIE LAW

Phone8599 3287
Emaileddielawmpu.edumo

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Research activity per year

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39 Conference contribution
27 Article
5 Conference article
4 Paper
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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
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 Access
1 Citation (Scopus)
Adaptive Position Updating Particle Swarm Optimization for UAV Path Planning
Wei, J., Gu, Y., Law, K. L. E. & Cheong, N., 2024, 2024 22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2024. Institute of Electrical and Electronics Engineers Inc., p. 124-131 8 p. (Proceedings of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
7 Citations (Scopus)
Automatic Lane Discovery and Traffic Congestion Detection in a Real-Time Multi-Vehicle Tracking Systems
Wang, L., Law, K. L. E., Lam, C. T., Ng, B., Ke, W. & Im, M., 2024, In: IEEE Access. 12, p. 161468-161479 12 p.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Citations (Scopus)
Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons
He, J. & Eddie Law, K. L., 2024, (Accepted/In press) In: IEEE Access.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Citations (Scopus)

Report Summarizes Engineering Study Findings from Faculty of Applied Sciences (Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons)
LAW, K. L. E.
23/12/24
1 item of Media coverage
Press/Media
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
Faculty of Applied Sciences Researchers Publish New Study Findings on Engineering (Deep Learning Models for Time Series Forecasting: A Review)
LAW, K. L. E.
18/07/24
1 item of Media coverage
Press/Media
Ensuring Fair Internet Access: Challenges and Solutions in Traffic Discrimination Detection
LAW, K. L. E.
11/04/24
1 item of Media coverage
Press/Media
Researchers at Faculty of Applied Sciences Publish New Data on Remote Sensing (Efficient Point Cloud Object Classifications with GhostMLP)
LAW, K. L. E.
30/05/23
1 item of Media coverage
Press/Media

KA LUN, EDDIE LAW

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Model to Learn Like Humans

Mutual Knowledge Distillation-Based Communication Optimization Method for Cross-Organizational Federated Learning

Adaptive Position Updating Particle Swarm Optimization for UAV Path Planning

Automatic Lane Discovery and Traffic Congestion Detection in a Real-Time Multi-Vehicle Tracking Systems

Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons

Report Summarizes Engineering Study Findings from Faculty of Applied Sciences (Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons)

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)

Faculty of Applied Sciences Researchers Publish New Study Findings on Engineering (Deep Learning Models for Time Series Forecasting: A Review)

Ensuring Fair Internet Access: Challenges and Solutions in Traffic Discrimination Detection

Researchers at Faculty of Applied Sciences Publish New Data on Remote Sensing (Efficient Point Cloud Object Classifications with GhostMLP)

KA LUN, EDDIE LAW

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media