Shien Zhu

14 papers A 2B 2Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exploring Large Language Models for Hierarchical Hardware Circuit and Testbench Generation.
ACM Trans. Design Autom. Electr. Syst.
Samuel Gomes Lopes, Shien Zhu, Gustavo Alonso
2025 A conf
Faster Ternary and Binary Neural Network Inference on CPU by Reducing Popcount Overhead.
ISLPED
Olivier Fischer, Shien Zhu, Gustavo Alonso
2025 J jnl
Pre-Attention Expert Prediction and Prefetching for Mixture-of-Experts Large Language Models.
CoRR
Shien Zhu, Samuel Bohl, Robin Oester, Gustavo Alonso
2023 B conf
An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning.
FPL
Shiqing Li, Shien Zhu, Xiangzhong Luo, Tao Luo, Weichen Liu
2023 J jnl
FAT: An In-Memory Accelerator With Fast Addition for Ternary Weight Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Shien Zhu, Luan H. K. Duong, Hui Chen, Di Liu, Weichen Liu
2023 A conf
iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product.
ISLPED
Shien Zhu, Shuo Huai, Guochu Xiong, Weichen Liu
2022 — —
Deep learning acceleration: from quantization to in-memory computing
Shien Zhu
2022 J jnl
EDLAB: A Benchmark for Edge Deep Learning Accelerators.
IEEE Des. Test
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
2022 J jnl
FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks.
CoRR
Shien Zhu, Luan H. K. Duong, Hui Chen, Di Liu, Weichen Liu
2022 J jnl
TAB: Unified and Optimized Ternary, Binary, and Mixed-precision Neural Network Inference on the Edge.
ACM Trans. Embed. Comput. Syst.
Shien Zhu, Luan H. K. Duong, Weichen Liu
2022 — conf
iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations.
ACM Great Lakes Symposium on VLSI
Shien Zhu, Shiqing Li, Weichen Liu
2021 — conf
Parallel Multipath Transmission for Burst Traffic Optimization in Point-to-Point NoCs.
ACM Great Lakes Symposium on VLSI
Hui Chen, Zihao Zhang, Peng Chen, Shien Zhu, Weichen Liu
2020 J jnl
Cross-filter compression for CNN inference acceleration.
CoRR
Fuyuan Lyu, Shien Zhu, Weichen Liu
2020 B conf
XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices.
ICPADS
Shien Zhu, Luan H. K. Duong, Weichen Liu