| Bringing AI to edge: From deep learning’s perspective D Liu, H Kong, X Luo, W Liu, R Subramaniam Neurocomputing 485, 297-320, 2022 | 134 | 2022 |
| 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 | 26 | 2022 |
| 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 | 19 | 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 & Test, 2021 | 17 | 2021 |
| SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search X Luo, D Liu, H Kong, S Huai, H Chen, W Liu IEEE Transactions on Computers, 2022 | 13 | 2022 |
| You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms X Luo, D Liu, H Kong, S Huai, H Chen, W Liu Proceedings of the 59th ACM/IEEE Design Automation Conference, 475-480, 2022 | 11 | 2022 |
| Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond X Luo, D Liu, S Huai, H Kong, H Chen, W Liu IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021 | 9 | 2021 |
| Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization S Huai, D Liu, H Kong, W Liu, R Subramaniam, C Makaya, Q Lin Future Generation Computer Systems 142, 314-327, 2023 | 7 | 2023 |
| Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware H Kong, D Liu, S Huai, X Luo, W Liu, R Subramaniam, C Makaya, Q Lin Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 5 | 2022 |
| Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems S Huai, D Liu, H Kong, X Luo, W Liu, R Subramaniam, C Makaya, Q Lin 2022 IEEE 40th International Conference on Computer Design (ICCD), 627-634, 2022 | 5 | 2022 |
| HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs H Kong, D Liu, X Luo, W Liu, R Subramaniam 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 708-713, 2022 | 5 | 2022 |
| Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning H Kong, D Liu, X Luo, S Huai, R Subramaniam, C Makaya, Q Lin, W Liu 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 3 | 2023 |
| EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI H Kong, D Liu, S Huai, X Luo, R Subramaniam, C Makaya, Q Lin, W Liu IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 3 | 2023 |
| Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search X Luo, D Liu, H Kong, S Huai, H Chen, W Liu 2022 International Conference on Hardware/Software Codesign and System …, 2022 | 2 | 2022 |
| CRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation S Huai, H Kong, X Luo, S Li, R Subramaniam, C Makaya, Q Lin, W Liu ACM Transactions on Embedded Computing Systems 22 (5s), 1-25, 2023 | 1 | 2023 |
| On Hardware-Aware Design and Optimization of Edge Intelligence S Huai, H Kong, X Luo, D Liu, R Subramaniam, C Makaya, Q Lin, W Liu IEEE Design & Test, 2023 | | 2023 |
| EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI H Kong, X Luo, S Huai, D Liu, R Subramaniam, C Makaya, Q Lin, W Liu 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-2, 2023 | | 2023 |
Weichen LiuCollege of Computing and Data Science, Nanyang Technological UniversityVerified email at ntu.edu.sg
