| 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 |
| 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 | 18 | 2021 |
| 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 39 (3), 8-17, 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 72 (4), 1081-1094, 2022 | 13 | 2022 |
| HSCoNAS: Hardware-software co-design of efficient DNNs via neural architecture search X Luo, D Liu, S Huai, W Liu 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 418-421, 2021 | 12 | 2021 |
| 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 |
| Performance-aware wear leveling for block ram in nonvolatile fpgas S Huai, W Song, M Zhao, X Cai, Z Jia Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 11 | 2019 |
| 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 …, 2021 | 9 | 2021 |
| An Efficient Gustavson-based Sparse Matrix-matrix Multiplication Accelerator on Embedded FPGAs S Li, S Huai, W Liu IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 8 | 2023 |
| 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 |
| Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration S Huai, D Liu, X Luo, H Chen, W Liu, R Subramaniam Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 4 | 2023 |
| LAMP: Load-Balanced Multipath Parallel Transmission in Point-to-Point NoCs H Chen, P Chen, X Luo, S Huai, W Liu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 4 | 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 |
| Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting X Luo, D Liu, H Kong, S Huai, H Chen, S Li, G Xiong, W Liu 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 250-255, 2024 | 2 | 2024 |
| MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows H Chen, D Liu, S Li, S Huai, X Luo, W Liu Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 2 | 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 |
| Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems X Luo, D Liu, H Kong, S Huai, W Liu Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 1 | 2024 |
