Papers
9
Total Citations
511
H-Index
7
About
Zhihan Lv is a leading researcher at the intersection of artificial intelligence, robotics, and next-generation communication networks. His work fundamentally advances how intelligent systems perceive, communicate, and interact with humans and their environments. Lv’s most influential contributions include pioneering deep learning architectures for collaborative robots, notably a deep belief network and linear perceptron model that has garnered 182 citations. He has also shaped the field of intelligent human-computer interaction, with a highly cited 2022 paper (150 citations) exploring deep learning for gesture and speech recognition in virtual reality. His forward-looking survey on 5G/6G, AI, and robotics (101 citations) has become a key reference for researchers navigating the convergence of these technologies. Beyond these flagship works, Lv has applied computer vision to environmental and HVAC monitoring, and explored multi-robot communication over 5G networks. His research consistently bridges theoretical innovation with practical applications in healthcare, smart cities, and augmented reality. With a portfolio spanning top venues and a clear focus on the synergy between AI, IoT, and robotics, Zhihan Lv is shaping the future of autonomous, connected, and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Deep Learning for Intelligent Human–Computer Interaction150 citations · 2022
- 3A survey on 5G/6G, AI, and Robotics101 citations · 2021
- 4Internet of Things and augmented reality in the age of 5G23 citations · 2020
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- 7
- 8Swarm-based intelligent optimization approach for layout problem6 citations · 2015
- 9Guest Editorial: 5G for Internet of Things4 citations · 2021