| Bringing AI to edge: From deep learning’s perspective D Liu, H Kong, X Luo, W Liu, R Subramaniam Neurocomputing 485, 297-320, 2022 | 103 | 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 | 84 | 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 | 66 | 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 | 53 | 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 | 52 | 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 | 46 | 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 | 45 | 2017 |
| 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 | 42 | 2015 |
| 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 | 41 | 2020 |
| 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 | 39 | 2021 |
| 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 | 36 | 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 | 28 | 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 | 22 | 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 | 22 | 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 | 21 | 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 Systems, 2022 | 20 | 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 | 18 | 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 | 17 | 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 | 16 | 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 | 15 | 2021 |
Weichen LiuSchool of Computer Science and Engineering, Nanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
