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Hao Kong
Hao Kong
Verified email at e.ntu.edu.sg
Title
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Cited by
Year
Bringing AI to edge: From deep learning’s perspective
D Liu, H Kong, X Luo, W Liu, R Subramaniam
Neurocomputing 485, 297-320, 2022
1342022
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
262022
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
192020
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
172021
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
132022
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
112022
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
92021
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
72023
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
52022
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
52022
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
52022
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
32023
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
32023
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
22022
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
12023
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
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