Longyu Ma

University of Auckland, Northeastern University

Papers

Total Citations

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About

Longyu Ma is a pioneering researcher at the forefront of next-generation communication systems and intelligent environmental sensing. His work is primarily centered on two transformative areas: 6G communication technologies and advanced deep learning for underwater object detection. In the realm of telecommunications, Ma’s highly cited 2024 paper on joint source-channel coding systems for 6G has garnered 20 citations, establishing a novel paradigm for a future where AI-driven robots outnumber human users in global networks. This foundational work is critical for shaping the architecture of tomorrow’s ultra-reliable, low-latency communications. Complementing this, his 2025 study introduces a groundbreaking deep learning framework based on a structured space model for detecting small objects in complex underwater environments. With 13 citations, this work directly addresses the critical challenge of balancing detection accuracy with real-time efficiency—a vital need for marine ecosystem monitoring. By bridging the gap between theoretical communication design and practical AI-driven environmental sensing, Ma’s research demonstrates a unique ability to tackle pressing real-world problems. His contributions are already influencing both the future of 6G infrastructure and the development of intelligent, efficient systems for marine conservation.