Shuo Huai

According to our database, Shuo Huai authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems.

Shuo Huai, Hao Kong, Shiqing Li, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

IEEE Embed. Syst. Lett., June, 2024

A Fruit-Tree Mapping System for Semi-Structured Orchards Based on Multi-Sensor-Fusion SLAM.

Bingjie Tang, Zhiyang Guo, Chuanrong Huang, Shuo Huai, Jingyao Gai

IEEE Access, 2024

FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection.

Vikash Sathiamoorthy, Shuo Huai, Hao Kong, Di Liu, Wendy Yong Yi Loy, Christian Makaya, Daren Ho, Ravi Subramaniam, Qian Lin, Weichen Liu

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Weichen Liu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Shiqing Li, Guochu Xiong, Weichen Liu

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

An Efficient Gustavson-Based Sparse Matrix-Matrix Multiplication Accelerator on Embedded FPGAs.

Shiqing Li, Shuo Huai, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI.

Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

On Hardware-Aware Design and Optimization of Edge Intelligence.

Shuo Huai, Hao Kong, Xiangzhong Luo, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

IEEE Des. Test, December, 2023

CRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation.

Shuo Huai, Hao Kong, Xiangzhong Luo, Shiqing Li, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

ACM Trans. Embed. Comput. Syst., October, 2023

LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization.

Shuo Huai, Di Liu, Hao Kong, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin

Future Gener. Comput. Syst., May, 2023

SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

IEEE Trans. Computers, April, 2023

iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product.

Shien Zhu, Shuo Huai, Guochu Xiong, Weichen Liu

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI.

Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning.

Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration.

Shuo Huai, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows.

Hui Chen, Di Liu, Shiqing Li, Shuo Huai, Xiangzhong Luo, Weichen Liu

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond.

Xiangzhong Luo, Di Liu, Shuo Huai, Hao Kong, Hui Chen, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

LAMP: Load-Balanced Multipath Parallel Transmission in Point-to-Point NoCs.

Hui Chen, Peng Chen, Xiangzhong Luo, Shuo Huai, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

EDLAB: A Benchmark for Edge Deep Learning Accelerators.

Hao Kong, Shuo Huai, Di Liu, Lei Zhang, Hui Chen, Shien Zhu, Shiqing Li, Weichen Liu, Manu Rastogi, Ravi Subramaniam, Madhu Athreya, M. Anthony Lewis

IEEE Des. Test, 2022

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems.

Shuo Huai, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware.

Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022

2021

HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search.

Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems.

Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2019

Performance-aware Wear Leveling for Block RAM in Nonvolatile FPGAs.

Shuo Huai, Weining Song, Mengying Zhao, Xiaojun Cai, Zhiping Jia

Proceedings of the 56th Annual Design Automation Conference 2019, 2019