Liangzhi Li
Liangzhi Li
Osaka University
Verified email at - Homepage
Cited by
Cited by
Deep learning for smart industry: efficient manufacture inspection system with fog computing
L Li, K Ota, M Dong
IEEE Transactions on Industrial Informatics 14 (10), 4665-4673, 2018
When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid
L Li, K Ota, M Dong
IEEE Communications Magazine 55 (10), 46-51, 2017
Humanlike Driving: Empirical Decision-Making System for Autonomous Vehicles
L Li, K Ota, M Dong
IEEE Transactions on Vehicular Technology 67 (8), 6814-6823, 2018
Eyes in the dark: Distributed scene understanding for disaster management
L Li, K Ota, M Dong, W Borjigin
IEEE Transactions on Parallel and Distributed Systems 28 (12), 3458-3471, 2017
DeepNFV: A lightweight framework for intelligent edge network functions virtualization
L Li, K Ota, M Dong
IEEE Network 33 (1), 136-141, 2018
Everything is Image: CNN-based Short-term Electrical Load Forecasting for Smart Grid
L Li, K Ota, M Dong
2017 14th International Symposium on Pervasive Systems, Algorithms and …, 2017
Human in the Loop: Distributed Deep Model for Mobile Crowdsensing
L Li, K Ota, M Dong
IEEE Internet of Things Journal 5 (6), 4957-4964, 2018
Volumetric view planning for 3D reconstruction with multiple manipulators
L Li, N Xiao
Industrial Robot: An International Journal 42 (6), 533-543, 2015
Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS)
H Tang, L Li, N Xiao
Sensors 17 (2), 393, 2017
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks
L Li, M Verma, Y Nakashima, H Nagahara, R Kawasaki
The IEEE Winter Conference on Applications of Computer Vision, 3656-3665, 2020
Sustainable CNN for robotic: An offloading game in the 3D vision computation
L Li, K Ota, M Dong
IEEE Transactions on Sustainable Computing 4 (1), 67-76, 2018
Enabling 60 GHz Seamless Coverage for Mobile Devices: A Motion Learning Approach
L Li, K Ota, M Dong, C Verikoukis
2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018
A fully automated grading system for the retinal arteriovenous crossing signs using deep neural network
R Kawasaki, L Li, Y Nakashima, H Nagahara, T Ohkubo, K Nishida
Investigative Ophthalmology & Visual Science 61 (7), 1930-1930, 2020
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
L Li, M Verma, Y Nakashima, R Kawasaki, H Nagahara
Medical Imaging with Deep Learning, 2020
Artificial Intelligence for Emerging Internet-of-Things Applications
L Li
The system can't perform the operation now. Try again later.
Articles 1–15