Shengwen Liang

According to our database, Shengwen Liang authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.

Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

CoRR, 2024

2023

ChipGPT: How far are we from natural language hardware design.

Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

CoRR, 2023

PANG: A Pattern-Aware GCN Accelerator for Universal Graphs.

Yibo Du, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Energy-efficient NTT Design with One-bank SRAM and 2-D PE Array.

Jianan Mu, Huajie Tan, Jiawen Wu, Haotian Lu, Chip-Hong Chang, Shuai Chen, Shengwen Liang, Jing Ye, Huawei Li, Xiaowei Li

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

Intelligent Automatic Test Pattern Generation for Digital Circuits Based on Reinforcement Learning.

Wenxing Li, Hongqin Lyu, Shengwen Liang, Tiancheng Wang, Pengyu Tian, Huawei Li

Proceedings of the 32nd IEEE Asian Test Symposium, 2023

2022

Cognitive SSD+: a deep learning engine for energy-efficient unstructured data retrieval.

Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li

CCF Trans. High Perform. Comput., 2022

VStore: in-storage graph based vector search accelerator.

Shengwen Liang, Ying Wang, Ziming Yuan, Cheng Liu, Huawei Li, Xiaowei Li

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

2021

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks.

Shengwen Liang, Ying Wang, Cheng Liu, Lei He, Huawei Li, Dawen Xu, Xiaowei Li

IEEE Trans. Computers, 2021

GLIST: Towards In-Storage Graph Learning.

Cangyuan Li, Ying Wang, Cheng Liu, Shengwen Liang, Huawei Li, Xiaowei Li

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

GCiM: A Near-Data Processing Accelerator for Graph Construction.

Lei He, Cheng Liu, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li

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

The 2020 Low-Power Computer Vision Challenge.

Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

DeepBurning-GL: an Automated Framework for Generating Graph Neural Network Accelerators.

Shengwen Liang, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Cognitive SSD: A Deep Learning Engine for In-Storage Data Retrieval.

Shengwen Liang, Ying Wang, Youyou Lu, Zhe Yang, Huawei Li, Xiaowei Li

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

InS-DLA: An In-SSD Deep Learning Accelerator for Near-Data Processing.

Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

A None-Sparse Inference Accelerator that Distills and Reuses the Computation Redundancy in CNNs.

Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li

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