Di Liu
Di Liu
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Bringing AI to edge: From deep learning’s perspective
D Liu, H Kong, X Luo, W Liu, R Subramaniam
Neurocomputing 485, 297-320, 2022
EDF-VD scheduling of mixed-criticality systems with degraded quality guarantees
D Liu, J Spasic, N Guan, G Chen, S Liu, T Stefanov, W Yi
2016 IEEE Real-Time Systems Symposium (RTSS), 35-46, 2016
Energy-aware task offloading and resource allocation for time-sensitive services in mobile edge computing systems
M Zhao, JJ Yu, WT Li, D Liu, S Yao, W Feng, C She, TQS Quek
IEEE Transactions on Vehicular Technology 70 (10), 10925-10940, 2021
Construction of an industrial knowledge graph for unstructured Chinese text learning
M Zhao, H Wang, J Guo, D Liu, C Xie, Q Liu, Z Cheng
Applied Sciences 9 (13), 2720, 2019
Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms
Z Guo, A Bhuiyan, D Liu, A Khan, A Saifullah, N Guan
2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2019
Scheduling analysis of imprecise mixed-criticality real-time tasks
D Liu, N Guan, J Spasic, G Chen, S Liu, T Stefanov, W Yi
IEEE Transactions on Computers 67 (7), 975-991, 2018
Utilization-based scheduling of flexible mixed-criticality real-time tasks
G Chen, N Guan, D Liu, Q He, K Huang, T Stefanov, W Yi
IEEE Transactions on Computers 67 (4), 543-558, 2017
Fairness-aware task scheduling and resource allocation in UAV-enabled mobile edge computing networks
M Zhao, W Li, L Bao, J Luo, Z He, D Liu
IEEE Transactions on Green Communications and Networking 5 (4), 2174-2187, 2021
Energy-efficient parallel real-time scheduling on clustered multi-core
A Bhuiyan, D Liu, A Khan, A Saifullah, N Guan, Z Guo
IEEE Transactions on Parallel and Distributed Systems 31 (9), 2097-2111, 2020
Energy-efficient mapping of real-time streaming applications on cluster heterogeneous mpsocs
D Liu, J Spasic, G Chen, T Stefanov
2015 13th IEEE symposium on embedded systems for real-time multimedia …, 2015
Knowledge Graph-Based Image Classification Refinement
D Zhang, M Cui, Y Yang, P Yang, C Xie, D Liu, B Yu, Z Chen
IEEE Access 7, 57678 - 57690, 2019
Joint offloading and resource allocation for time-sensitive multi-access edge computing network
JJ Yu, M Zhao, WT Li, D Liu, S Yao, W Feng
2020 IEEE wireless communications and networking conference (WCNC), 1-6, 2020
Collaborative offloading for UAV-enabled time-sensitive MEC networks
WT Li, M Zhao, YH Wu, JJ Yu, LY Bao, H Yang, D Liu
EURASIP Journal on Wireless Communications and Networking 2021 (1), 1, 2021
Energy-efficient scheduling of real-time tasks on heterogeneous multicores using task splitting
D Liu, J Spasic, P Wang, T Stefanov
2016 IEEE 22nd International Conference on Embedded and Real-Time Computing …, 2016
Energy-efficient mapping of real-time applications on heterogeneous MPSoCs using task replication
J Spasic, D Liu, T Stefanov
Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on …, 2016
LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms
X Luo, D Liu, H Kong, S Huai, H Chen, W Liu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
Layerwise security protection for deep neural networks in industrial cyber physical systems
W Jiang, Z Song, J Zhan, D Liu, J Wan
IEEE Transactions on Industrial Informatics 18 (12), 8797-8806, 2022
Zerobn: Learning compact neural networks for latency-critical edge systems
S Huai, L Zhang, D Liu, W Liu, R Subramaniam
2021 58th ACM/IEEE Design Automation Conference (DAC), 151-156, 2021
Edgenas: Discovering efficient neural architectures for edge systems
X Luo, D Liu, H Kong, W Liu
2020 IEEE 38th International Conference on Computer Design (ICCD), 288-295, 2020
EDLAB: A benchmark for edge deep learning accelerators
H Kong, S Huai, D Liu, L Zhang, H Chen, S Zhu, S Li, W Liu, M Rastogi, ...
IEEE Design and Test, 2021
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