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ORCIDWeichen Liu
- > Home > Persons > Weichen Liu
Publications
- 2024
[j78]Shuo Huai
, Hao Kong, Shiqing Li, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu:
EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems. IEEE Embed. Syst. Lett. 16(2): 174-177 (2024)- [c96]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Shiqing Li, Guochu Xiong, Weichen Liu:
Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting. ASPDAC 2024: 250-255 - [c95]Vikash Sathiamoorthy, Shuo Huai, Hao Kong, Di Liu, Wendy Yong Yi Loy, Christian Makaya, Daren Ho, Ravi Subramaniam, Qian Lin, Weichen Liu:
FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection. ACM Great Lakes Symposium on VLSI 2024: 310-314 - 2023
- [j75]Shuo Huai, Hao Kong, Xiangzhong Luo, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu:
On Hardware-Aware Design and Optimization of Edge Intelligence. IEEE Des. Test 40(6): 149-162 (2023) - [j73]Shuo Huai, Di Liu, Hao Kong, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin:
Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization. Future Gener. Comput. Syst. 142: 314-327 (2023) - [j72]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu:
SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search. IEEE Trans. Computers 72(4): 1081-1094 (2023) - [j70]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu:
LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 1784-1797 (2023) - [j68]Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu:
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4657-4670 (2023) - [j67]Shiqing Li, Shuo Huai, Weichen Liu:
An Efficient Gustavson-Based Sparse Matrix-Matrix Multiplication Accelerator on Embedded FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4671-4680 (2023) - [j66]Shuo Huai, Hao Kong, Xiangzhong Luo, Shiqing Li, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu:
CRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation. ACM Trans. Embed. Comput. Syst. 22(5s): 123:1-123:25 (2023) - [c94]Shuo Huai, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam:
Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration. ASP-DAC 2023: 234-239 - [c93]Hui Chen, Di Liu, Shiqing Li, Shuo Huai, Xiangzhong Luo, Weichen Liu:
MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows. ASP-DAC 2023: 308-313 - [c91]Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu:
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning. DAC 2023: 1-6 - [c89]Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu:
EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI. DATE 2023: 1-2 - [c86]Shien Zhu, Shuo Huai, Guochu Xiong, Weichen Liu:
iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product. ISLPED 2023: 1-6 - 2022
- [j64]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:
EDLAB: A Benchmark for Edge Deep Learning Accelerators. IEEE Des. Test 39(3): 8-17 (2022) - [j60]Xiangzhong Luo, Di Liu, Shuo Huai, Hao Kong, Hui Chen, Weichen Liu:
Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1799-1812 (2022) - [j55]Hui Chen, Peng Chen, Xiangzhong Luo, Shuo Huai, Weichen Liu:
LAMP: Load-Balanced Multipath Parallel Transmission in Point-to-Point NoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5232-5245 (2022) - [c83]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu:
Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search. CODES+ISSS 2022: 1-2 - [c82]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu:
You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms. DAC 2022: 475-480 - [c80]Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin:
Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. ICCAD 2022: 109:1-109:9 - [c79]Shuo Huai, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin:
Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems. ICCD 2022: 627-634 - [i9]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu:
You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms. CoRR abs/2208.14446 (2022) - 2021
- [c76]Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam:
ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. DAC 2021: 151-156 - [c75]Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu:
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. DATE 2021: 418-421 - [i7]Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu:
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. CoRR abs/2103.08325 (2021)
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